In [1]:
# %load './otto_xgb.py'
"""
XGBoost + Count feature, Time: 1:37:22
XGBoost + Random indexing, Time: 1:56:58
The running times on i7 4790k, 32G MEM, GTX660
"""
import numpy as np
import scipy as sp
import pandas as pd
from sklearn.metrics import log_loss
import xgboost as xgb
from datetime import datetime
from utility import *
path = './'
file_train = path + 'train.csv'
file_test = path + 'test.csv'
training = pd.read_csv(file_train, index_col = 0)
test = pd.read_csv(file_test, index_col = 0)
num_train = training.shape[0]
target = training['target']
training.drop('target', inplace = True, axis = 1)
df_trans = pd.Series(range(9), index = target.unique())
y = target.map(df_trans).values
yMat = pd.get_dummies(y).values
X = np.vstack((training.values, test.values))
# Common parameters
nIter = 50
tc = 15 # max_depth
sh = .1 # eta
bf = .8 # subsample
### XGB1: Count feature
nt = 260
mb = 5 # min_child_weight
cs = 45. / 93 # colsample_bytree
X2, ignore = count_feature(X)
dtrain , dtest = xgb.DMatrix(X2[:num_train], label = y), xgb.DMatrix(X2[num_train:])
predAll_train = np.zeros((num_train, 9))
predAll_test = np.zeros((test.shape[0], 9))
scores = []
t0 = datetime.now()
for i in range(nIter):
seed = i + 123
param = {'bst:max_depth':tc, 'bst:eta':sh, 'silent':1, 'objective':'multi:softprob','num_class':9,
'min_child_weight':mb, 'subsample':bf, 'colsample_bytree':cs, 'nthread':4, 'seed':seed,'eval_metric': 'mlogloss'}
watchlist = [(dtrain,'train')]
plst = param.items()
bst = xgb.train(plst, dtrain, nt,watchlist)
# bst.save_model(path + 'model/model_XGB_CF_' + str(seed) + '.model')
pred_train = bst.predict(dtrain).reshape((num_train, 9))
pred_test = bst.predict(dtest).reshape(predAll_test.shape)
predAll_train += pred_train
predAll_test += pred_test
sc1 = log_loss(yMat, pred_train)
sc2 = log_loss(yMat, predAll_train / (i + 1))
print (i, " each:%f, avg:%f, Time:%s" % (sc1, sc2, datetime.now() - t0))
# 49 each:0.131026, avg:0.130512, Time:1:37:21.187174
pred_XGB_CF = predAll_test / nIter
np.save(path + 'pred_XGB_CF.npy', pred_XGB_CF)
### XGB2: Random Indexing
X1 = X / X.mean(0)
m = 140
k = 2
nt = 220
mb = 10 # min_child_weight
cs = 50. / 93 # colsample_bytree
predAll_train = np.zeros((num_train, 9))
predAll_test = np.zeros((test.shape[0], 9))
t0 = datetime.now()
for i in range(nIter):
seed = i + 123210
X3 = RI(X1, m, k, normalize = False, seed = seed)
dtrain = xgb.DMatrix(X3[:num_train], label = y)
dtest = xgb.DMatrix(X3[num_train:])
watchlist = [(dtrain,'train')]
param = {'bst:max_depth':tc, 'bst:eta':sh, 'silent':1, 'objective':'multi:softprob',
'num_class':9, 'min_child_weight':mb, 'subsample':bf,
'colsample_bytree':cs, 'nthread':4, 'seed':seed}
plst = param.items()
bst = xgb.train(plst, dtrain, nt,watchlist)
# bst.save_model(path + 'model/model_XGB_RI_' + str(seed) + '.model')
pred_train = bst.predict(dtrain).reshape((num_train, 9))
pred_test = bst.predict(dtest).reshape(predAll_test.shape)
predAll_train += pred_train
predAll_test += pred_test
sc1 = log_loss(yMat, pred_train)
sc2 = log_loss(yMat, predAll_train / (i + 1))
print (i, " each:%f, avg:%f, Time:%s" % (sc1, sc2, datetime.now() - t0))
# 49 each:0.085345, avg:0.084942, Time:1:56:57.580157
pred_XGB_RI = predAll_test / nIter
np.save(path + 'pred_XGB_RI.npy', pred_XGB_RI)
[0] train-mlogloss:1.980793
[1] train-mlogloss:1.817169
[2] train-mlogloss:1.669235
[3] train-mlogloss:1.549015
[4] train-mlogloss:1.445978
[5] train-mlogloss:1.357949
[6] train-mlogloss:1.284582
[7] train-mlogloss:1.216188
[8] train-mlogloss:1.151986
[9] train-mlogloss:1.093660
[10] train-mlogloss:1.040376
[11] train-mlogloss:0.991099
[12] train-mlogloss:0.947887
[13] train-mlogloss:0.907467
[14] train-mlogloss:0.869320
[15] train-mlogloss:0.835869
[16] train-mlogloss:0.804082
[17] train-mlogloss:0.773739
[18] train-mlogloss:0.748522
[19] train-mlogloss:0.721629
[20] train-mlogloss:0.697873
[21] train-mlogloss:0.676393
[22] train-mlogloss:0.655483
[23] train-mlogloss:0.635832
[24] train-mlogloss:0.616998
[25] train-mlogloss:0.599815
[26] train-mlogloss:0.582867
[27] train-mlogloss:0.568260
[28] train-mlogloss:0.553007
[29] train-mlogloss:0.539559
[30] train-mlogloss:0.526234
[31] train-mlogloss:0.514497
[32] train-mlogloss:0.502715
[33] train-mlogloss:0.491708
[34] train-mlogloss:0.482127
[35] train-mlogloss:0.471410
[36] train-mlogloss:0.461975
[37] train-mlogloss:0.452912
[38] train-mlogloss:0.445147
[39] train-mlogloss:0.436827
[40] train-mlogloss:0.428837
[41] train-mlogloss:0.421732
[42] train-mlogloss:0.414332
[43] train-mlogloss:0.407784
[44] train-mlogloss:0.402174
[45] train-mlogloss:0.396380
[46] train-mlogloss:0.390757
[47] train-mlogloss:0.385789
[48] train-mlogloss:0.379527
[49] train-mlogloss:0.374456
[50] train-mlogloss:0.369814
[51] train-mlogloss:0.364630
[52] train-mlogloss:0.360149
[53] train-mlogloss:0.355595
[54] train-mlogloss:0.350985
[55] train-mlogloss:0.347452
[56] train-mlogloss:0.343391
[57] train-mlogloss:0.339178
[58] train-mlogloss:0.335700
[59] train-mlogloss:0.332587
[60] train-mlogloss:0.329109
[61] train-mlogloss:0.325905
[62] train-mlogloss:0.322724
[63] train-mlogloss:0.319849
[64] train-mlogloss:0.317121
[65] train-mlogloss:0.314407
[66] train-mlogloss:0.311729
[67] train-mlogloss:0.308909
[68] train-mlogloss:0.306149
[69] train-mlogloss:0.303651
[70] train-mlogloss:0.301040
[71] train-mlogloss:0.298931
[72] train-mlogloss:0.296602
[73] train-mlogloss:0.294071
[74] train-mlogloss:0.291529
[75] train-mlogloss:0.289340
[76] train-mlogloss:0.287237
[77] train-mlogloss:0.285369
[78] train-mlogloss:0.283440
[79] train-mlogloss:0.281736
[80] train-mlogloss:0.279709
[81] train-mlogloss:0.277790
[82] train-mlogloss:0.276084
[83] train-mlogloss:0.274425
[84] train-mlogloss:0.272564
[85] train-mlogloss:0.271110
[86] train-mlogloss:0.269939
[87] train-mlogloss:0.268267
[88] train-mlogloss:0.266732
[89] train-mlogloss:0.265230
[90] train-mlogloss:0.263858
[91] train-mlogloss:0.262162
[92] train-mlogloss:0.260682
[93] train-mlogloss:0.258797
[94] train-mlogloss:0.257538
[95] train-mlogloss:0.256197
[96] train-mlogloss:0.254803
[97] train-mlogloss:0.253344
[98] train-mlogloss:0.251741
[99] train-mlogloss:0.250483
[100] train-mlogloss:0.249149
[101] train-mlogloss:0.247618
[102] train-mlogloss:0.246206
[103] train-mlogloss:0.245054
[104] train-mlogloss:0.243963
[105] train-mlogloss:0.243027
[106] train-mlogloss:0.241662
[107] train-mlogloss:0.240858
[108] train-mlogloss:0.239523
[109] train-mlogloss:0.238152
[110] train-mlogloss:0.237024
[111] train-mlogloss:0.235868
[112] train-mlogloss:0.234768
[113] train-mlogloss:0.233952
[114] train-mlogloss:0.232860
[115] train-mlogloss:0.231878
[116] train-mlogloss:0.230810
[117] train-mlogloss:0.229804
[118] train-mlogloss:0.228800
[119] train-mlogloss:0.227750
[120] train-mlogloss:0.226690
[121] train-mlogloss:0.225531
[122] train-mlogloss:0.224657
[123] train-mlogloss:0.223456
[124] train-mlogloss:0.222410
[125] train-mlogloss:0.221327
[126] train-mlogloss:0.220287
[127] train-mlogloss:0.219122
[128] train-mlogloss:0.218051
[129] train-mlogloss:0.217284
[130] train-mlogloss:0.216290
[131] train-mlogloss:0.215169
[132] train-mlogloss:0.213892
[133] train-mlogloss:0.212725
[134] train-mlogloss:0.211929
[135] train-mlogloss:0.210882
[136] train-mlogloss:0.210103
[137] train-mlogloss:0.208907
[138] train-mlogloss:0.207993
[139] train-mlogloss:0.206848
[140] train-mlogloss:0.206009
[141] train-mlogloss:0.204998
[142] train-mlogloss:0.203682
[143] train-mlogloss:0.202830
[144] train-mlogloss:0.201805
[145] train-mlogloss:0.200757
[146] train-mlogloss:0.200031
[147] train-mlogloss:0.199173
[148] train-mlogloss:0.198264
[149] train-mlogloss:0.197425
[150] train-mlogloss:0.196721
[151] train-mlogloss:0.196049
[152] train-mlogloss:0.195215
[153] train-mlogloss:0.194544
[154] train-mlogloss:0.193460
[155] train-mlogloss:0.192867
[156] train-mlogloss:0.191982
[157] train-mlogloss:0.191475
[158] train-mlogloss:0.190667
[159] train-mlogloss:0.189950
[160] train-mlogloss:0.189192
[161] train-mlogloss:0.188113
[162] train-mlogloss:0.187195
[163] train-mlogloss:0.186357
[164] train-mlogloss:0.185802
[165] train-mlogloss:0.184838
[166] train-mlogloss:0.184030
[167] train-mlogloss:0.183381
[168] train-mlogloss:0.182592
[169] train-mlogloss:0.181920
[170] train-mlogloss:0.181049
[171] train-mlogloss:0.180232
[172] train-mlogloss:0.179611
[173] train-mlogloss:0.178715
[174] train-mlogloss:0.178036
[175] train-mlogloss:0.177342
[176] train-mlogloss:0.176786
[177] train-mlogloss:0.175950
[178] train-mlogloss:0.175102
[179] train-mlogloss:0.174628
[180] train-mlogloss:0.173861
[181] train-mlogloss:0.173384
[182] train-mlogloss:0.172743
[183] train-mlogloss:0.172252
[184] train-mlogloss:0.171729
[185] train-mlogloss:0.171167
[186] train-mlogloss:0.170432
[187] train-mlogloss:0.169863
[188] train-mlogloss:0.169171
[189] train-mlogloss:0.168539
[190] train-mlogloss:0.167930
[191] train-mlogloss:0.166959
[192] train-mlogloss:0.166252
[193] train-mlogloss:0.165403
[194] train-mlogloss:0.164734
[195] train-mlogloss:0.164172
[196] train-mlogloss:0.163597
[197] train-mlogloss:0.162976
[198] train-mlogloss:0.162322
[199] train-mlogloss:0.161731
[200] train-mlogloss:0.160985
[201] train-mlogloss:0.160249
[202] train-mlogloss:0.159809
[203] train-mlogloss:0.159389
[204] train-mlogloss:0.158799
[205] train-mlogloss:0.158197
[206] train-mlogloss:0.157753
[207] train-mlogloss:0.157348
[208] train-mlogloss:0.156857
[209] train-mlogloss:0.156199
[210] train-mlogloss:0.155739
[211] train-mlogloss:0.155185
[212] train-mlogloss:0.154657
[213] train-mlogloss:0.154145
[214] train-mlogloss:0.153520
[215] train-mlogloss:0.153125
[216] train-mlogloss:0.152512
[217] train-mlogloss:0.151977
[218] train-mlogloss:0.151383
[219] train-mlogloss:0.150725
[220] train-mlogloss:0.150248
[221] train-mlogloss:0.149638
[222] train-mlogloss:0.149019
[223] train-mlogloss:0.148290
[224] train-mlogloss:0.147697
[225] train-mlogloss:0.147148
[226] train-mlogloss:0.146611
[227] train-mlogloss:0.146090
[228] train-mlogloss:0.145478
[229] train-mlogloss:0.145005
[230] train-mlogloss:0.144526
[231] train-mlogloss:0.144079
[232] train-mlogloss:0.143618
[233] train-mlogloss:0.143145
[234] train-mlogloss:0.142553
[235] train-mlogloss:0.141963
[236] train-mlogloss:0.141535
[237] train-mlogloss:0.141001
[238] train-mlogloss:0.140570
[239] train-mlogloss:0.140163
[240] train-mlogloss:0.139590
[241] train-mlogloss:0.139047
[242] train-mlogloss:0.138463
[243] train-mlogloss:0.138057
[244] train-mlogloss:0.137606
[245] train-mlogloss:0.137218
[246] train-mlogloss:0.136710
[247] train-mlogloss:0.136205
[248] train-mlogloss:0.135786
[249] train-mlogloss:0.135283
[250] train-mlogloss:0.134888
[251] train-mlogloss:0.134348
[252] train-mlogloss:0.133873
[253] train-mlogloss:0.133409
[254] train-mlogloss:0.133021
[255] train-mlogloss:0.132715
[256] train-mlogloss:0.132303
[257] train-mlogloss:0.131859
[258] train-mlogloss:0.131499
[259] train-mlogloss:0.130992
[0] train-mlogloss:1.968044
[1] train-mlogloss:1.802627
[2] train-mlogloss:1.663718
[3] train-mlogloss:1.546837
[4] train-mlogloss:1.446054
[5] train-mlogloss:1.355878
[6] train-mlogloss:1.276142
[7] train-mlogloss:1.207006
0 each:0.130992, avg:0.130992, Time:0:05:03.244352
[8] train-mlogloss:1.143354
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-1-a230e5209abe> in <module>()
59 watchlist = [(dtrain,'train')]
60 plst = param.items()
---> 61 bst = xgb.train(plst, dtrain, nt,watchlist)
62 # bst.save_model(path + 'model/model_XGB_CF_' + str(seed) + '.model')
63 pred_train = bst.predict(dtrain).reshape((num_train, 9))
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/training.py in train(params, dtrain, num_boost_round, evals, obj, feval, early_stopping_rounds, evals_result, verbose_eval)
60 if not early_stopping_rounds:
61 for i in range(num_boost_round):
---> 62 bst.update(dtrain, i, obj)
63 if len(evals) != 0:
64 bst_eval_set = bst.eval_set(evals, i, feval)
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/core.py in update(self, dtrain, iteration, fobj)
521 raise TypeError('invalid training matrix: {}'.format(type(dtrain).__name__))
522 if fobj is None:
--> 523 _check_call(_LIB.XGBoosterUpdateOneIter(self.handle, iteration, dtrain.handle))
524 else:
525 pred = self.predict(dtrain)
KeyboardInterrupt:
In [ ]:
# %load 'otto_xgb.py'
"""
XGBoost + Count feature, Time: 1:37:22
XGBoost + Random indexing, Time: 1:56:58
The running times on i7 4790k, 32G MEM, GTX660
"""
import numpy as np
import scipy as sp
import pandas as pd
from sklearn.metrics import log_loss
import xgboost as xgb
from datetime import datetime
from utility import *
path = './'
file_train = path + 'train.csv'
file_test = path + 'test.csv'
training = pd.read_csv(file_train, index_col = 0)
test = pd.read_csv(file_test, index_col = 0)
num_train = training.shape[0]
target = training['target']
training.drop('target', inplace = True, axis = 1)
df_trans = pd.Series(range(9), index = target.unique())
y = target.map(df_trans).values
yMat = pd.get_dummies(y).values
X = np.vstack((training.values, test.values))
# Common parameters
nIter = 50
tc = 15 # max_depth
sh = .1 # eta
bf = .8 # subsample
### XGB1: Count feature
nt = 260
mb = 5 # min_child_weight
cs = 45. / 93 # colsample_bytree
X2, ignore = count_feature(X)
dtrain , dtest = xgb.DMatrix(X2[:num_train], label = y), xgb.DMatrix(X2[num_train:])
predAll_train = np.zeros((num_train, 9))
predAll_test = np.zeros((test.shape[0], 9))
scores = []
t0 = datetime.now()
for i in range(nIter):
seed = i + 123
param = {'bst:max_depth':tc, 'bst:eta':sh, 'silent':1, 'objective':'multi:softprob','num_class':9,
'min_child_weight':mb, 'subsample':bf, 'colsample_bytree':cs, 'nthread':8, 'seed':seed}
plst = param.items()
bst = xgb.train(plst, dtrain, nt)
# bst.save_model(path + 'model/model_XGB_CF_' + str(seed) + '.model')
pred_train = bst.predict(dtrain).reshape((num_train, 9))
pred_test = bst.predict(dtest).reshape(predAll_test.shape)
predAll_train += pred_train
predAll_test += pred_test
sc1 = log_loss(yMat, pred_train)
sc2 = log_loss(yMat, predAll_train / (i + 1))
print i, " each:%f, avg:%f, Time:%s" % (sc1, sc2, datetime.now() - t0)
# 49 each:0.131026, avg:0.130512, Time:1:37:21.187174
pred_XGB_CF = predAll_test / nIter
np.save(path + 'pred_XGB_CF.npy', pred_XGB_CF)
### XGB2: Random Indexing
X1 = X / X.mean(0)
m = 140
k = 2
nt = 220
mb = 10 # min_child_weight
cs = 50. / 93 # colsample_bytree
predAll_train = np.zeros((num_train, 9))
predAll_test = np.zeros((test.shape[0], 9))
t0 = datetime.now()
for i in range(nIter):
seed = i + 123210
X3 = RI(X1, m, k, normalize = False, seed = seed)
dtrain = xgb.DMatrix(X3[:num_train], label = y)
dtest = xgb.DMatrix(X3[num_train:])
param = {'bst:max_depth':tc, 'bst:eta':sh, 'silent':1, 'objective':'multi:softprob',
'num_class':9, 'min_child_weight':mb, 'subsample':bf,
'colsample_bytree':cs, 'nthread':8, 'seed':seed}
plst = param.items()
bst = xgb.train(plst, dtrain, nt)
# bst.save_model(path + 'model/model_XGB_RI_' + str(seed) + '.model')
pred_train = bst.predict(dtrain).reshape((num_train, 9))
pred_test = bst.predict(dtest).reshape(predAll_test.shape)
predAll_train += pred_train
predAll_test += pred_test
sc1 = log_loss(yMat, pred_train)
sc2 = log_loss(yMat, predAll_train / (i + 1))
print i, " each:%f, avg:%f, Time:%s" % (sc1, sc2, datetime.now() - t0)
# 49 each:0.085345, avg:0.084942, Time:1:56:57.580157
pred_XGB_RI = predAll_test / nIter
np.save(path + 'pred_XGB_RI.npy', pred_XGB_RI)
In [2]:
import numpy as np
import scipy as sp
import pandas as pd
from sklearn.metrics import log_loss
import xgboost as xgb
from datetime import datetime
from utility import *
In [30]:
from __future__ import print_function
from sklearn.cross_validation import train_test_split
from sklearn.metrics import log_loss
from sklearn import preprocessing
import numpy as np
import pandas as pd
from hyperopt import hp
from hyperopt import fmin, tpe, hp, STATUS_OK, Trials
import xgboost as xgb
def load_train():
train = pd.read_csv('./train.csv')
labels = train.target.values
lbl_enc = preprocessing.LabelEncoder()
labels = lbl_enc.fit_transform(labels)
train = train.drop('id', axis=1)
train = train.drop('target', axis=1)
return train.values, labels.astype('int32')
def load_test():
test = pd.read_csv('./test.csv')
test = test.drop('id', axis=1)
return test.values
def write_submission(preds, output):
sample = pd.read_csv('./data/sampleSubmission.csv')
preds = pd.DataFrame(
preds, index=sample.id.values, columns=sample.columns[1:])
preds.to_csv(output, index_label='id')
def score(params):
print ("Training with params : ")
print (params)
num_round = int(params['n_estimators'])
del params['n_estimators']
dtrain = xgb.DMatrix(X_train, label=y_train)
dvalid = xgb.DMatrix(X_test, label=y_test)
watchlist = [(dtrain, 'train'),(dvalid, 'eval')]
model = xgb.train(params, dtrain, num_round,watchlist,early_stopping_rounds=10)
predictions = model.predict(dvalid).reshape((X_test.shape[0], 9))
score = log_loss(y_test, predictions)
print ("\tScore {0}\n\n".format(score))
return {'loss': score, 'status': STATUS_OK}
def optimize(trials):
space = {
'n_estimators' : 500,
'eta' : hp.quniform('eta', 0.025, 0.5, 0.025),
'max_depth' : hp.quniform('max_depth', 1, 13, 1),
'min_child_weight' : hp.quniform('min_child_weight', 1, 6, 1),
'subsample' : hp.quniform('subsample', 0.5, 1, 0.05),
'gamma' : hp.quniform('gamma', 0.5, 1, 0.05),
'colsample_bytree' : hp.quniform('colsample_bytree', 0.5, 1, 0.05),
'num_class' : 9,
'eval_metric': 'mlogloss',
'objective': 'multi:softprob',
'nthread' : 8,
'silent' : 1
}
best = fmin(score, space, algo=tpe.suggest, trials=trials, max_evals=250)
print (best)
In [6]:
X, y = load_train()
print ("Splitting data into train and valid ...\n\n")
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=1234)
Splitting data into train and valid ...
In [11]:
tc = 15 # max_depth
sh = .1 # eta
bf = .8 # subsample
### XGB1: Count feature
nt = 260
mb = 5 # min_child_weight
cs = 45. / 93 # colsample_bytree
In [31]:
dtrain = xgb.DMatrix(X_train, label=y_train)
dvalid = xgb.DMatrix(X_test, label=y_test)
In [18]:
param = {'bst:max_depth':tc, 'bst:eta':sh, 'silent':1, 'objective':'multi:softprob',
'num_class':9, 'min_child_weight':mb, 'subsample':bf,
'colsample_bytree':cs, 'nthread':8,'eval_metric': 'mlogloss', 'seed':1}
In [22]:
plst = param.items()
bst = xgb.train(plst, dtrain, nt,evals=[(dtrain, 'train'),(dvalid, 'eval')])
Will train until train error hasn't decreased in 3 rounds.
[0] eval-mlogloss:1.986198 train-mlogloss:1.975497
[1] eval-mlogloss:1.821582 train-mlogloss:1.801462
[2] eval-mlogloss:1.697675 train-mlogloss:1.666939
[3] eval-mlogloss:1.579083 train-mlogloss:1.540579
[4] eval-mlogloss:1.486656 train-mlogloss:1.441033
[5] eval-mlogloss:1.404819 train-mlogloss:1.352361
[6] eval-mlogloss:1.333753 train-mlogloss:1.274717
[7] eval-mlogloss:1.267014 train-mlogloss:1.201703
[8] eval-mlogloss:1.210053 train-mlogloss:1.138829
[9] eval-mlogloss:1.157060 train-mlogloss:1.080439
[10] eval-mlogloss:1.110415 train-mlogloss:1.027890
[11] eval-mlogloss:1.064708 train-mlogloss:0.976980
[12] eval-mlogloss:1.027565 train-mlogloss:0.935157
[13] eval-mlogloss:0.990397 train-mlogloss:0.892800
[14] eval-mlogloss:0.959084 train-mlogloss:0.856402
[15] eval-mlogloss:0.928589 train-mlogloss:0.821732
[16] eval-mlogloss:0.901501 train-mlogloss:0.790498
[17] eval-mlogloss:0.874847 train-mlogloss:0.759575
[18] eval-mlogloss:0.849700 train-mlogloss:0.731485
[19] eval-mlogloss:0.827806 train-mlogloss:0.705912
[20] eval-mlogloss:0.807784 train-mlogloss:0.682216
[21] eval-mlogloss:0.788573 train-mlogloss:0.659428
[22] eval-mlogloss:0.772110 train-mlogloss:0.639541
[23] eval-mlogloss:0.755828 train-mlogloss:0.619353
[24] eval-mlogloss:0.741438 train-mlogloss:0.602128
[25] eval-mlogloss:0.726912 train-mlogloss:0.584587
[26] eval-mlogloss:0.712984 train-mlogloss:0.567485
[27] eval-mlogloss:0.700352 train-mlogloss:0.551675
[28] eval-mlogloss:0.688627 train-mlogloss:0.537075
[29] eval-mlogloss:0.678263 train-mlogloss:0.523791
[30] eval-mlogloss:0.668077 train-mlogloss:0.511176
[31] eval-mlogloss:0.658403 train-mlogloss:0.497929
[32] eval-mlogloss:0.649618 train-mlogloss:0.486970
[33] eval-mlogloss:0.640170 train-mlogloss:0.474991
[34] eval-mlogloss:0.632383 train-mlogloss:0.464893
[35] eval-mlogloss:0.625205 train-mlogloss:0.455404
[36] eval-mlogloss:0.617914 train-mlogloss:0.445967
[37] eval-mlogloss:0.611588 train-mlogloss:0.437673
[38] eval-mlogloss:0.605215 train-mlogloss:0.428508
[39] eval-mlogloss:0.599408 train-mlogloss:0.420202
[40] eval-mlogloss:0.594117 train-mlogloss:0.413008
[41] eval-mlogloss:0.588994 train-mlogloss:0.406031
[42] eval-mlogloss:0.583585 train-mlogloss:0.399281
[43] eval-mlogloss:0.578563 train-mlogloss:0.392453
[44] eval-mlogloss:0.574226 train-mlogloss:0.386024
[45] eval-mlogloss:0.569802 train-mlogloss:0.379528
[46] eval-mlogloss:0.565117 train-mlogloss:0.372902
[47] eval-mlogloss:0.561431 train-mlogloss:0.367393
[48] eval-mlogloss:0.557388 train-mlogloss:0.361692
[49] eval-mlogloss:0.553374 train-mlogloss:0.356107
[50] eval-mlogloss:0.550226 train-mlogloss:0.350896
[51] eval-mlogloss:0.546607 train-mlogloss:0.345054
[52] eval-mlogloss:0.543328 train-mlogloss:0.340053
[53] eval-mlogloss:0.540490 train-mlogloss:0.335387
[54] eval-mlogloss:0.537590 train-mlogloss:0.330614
[55] eval-mlogloss:0.535034 train-mlogloss:0.326866
[56] eval-mlogloss:0.532327 train-mlogloss:0.322972
[57] eval-mlogloss:0.529797 train-mlogloss:0.318927
[58] eval-mlogloss:0.527437 train-mlogloss:0.315225
[59] eval-mlogloss:0.525256 train-mlogloss:0.311824
[60] eval-mlogloss:0.523338 train-mlogloss:0.308623
[61] eval-mlogloss:0.521193 train-mlogloss:0.305281
[62] eval-mlogloss:0.519186 train-mlogloss:0.302090
[63] eval-mlogloss:0.517182 train-mlogloss:0.298465
[64] eval-mlogloss:0.514943 train-mlogloss:0.294720
[65] eval-mlogloss:0.513246 train-mlogloss:0.291583
[66] eval-mlogloss:0.511440 train-mlogloss:0.287985
[67] eval-mlogloss:0.509691 train-mlogloss:0.285045
[68] eval-mlogloss:0.508099 train-mlogloss:0.282709
[69] eval-mlogloss:0.506559 train-mlogloss:0.279723
[70] eval-mlogloss:0.504832 train-mlogloss:0.276887
[71] eval-mlogloss:0.503135 train-mlogloss:0.274299
[72] eval-mlogloss:0.501641 train-mlogloss:0.271903
[73] eval-mlogloss:0.500167 train-mlogloss:0.269446
[74] eval-mlogloss:0.498946 train-mlogloss:0.267341
[75] eval-mlogloss:0.497668 train-mlogloss:0.264905
[76] eval-mlogloss:0.496296 train-mlogloss:0.262771
[77] eval-mlogloss:0.494934 train-mlogloss:0.259892
[78] eval-mlogloss:0.493702 train-mlogloss:0.257705
[79] eval-mlogloss:0.492478 train-mlogloss:0.255399
[80] eval-mlogloss:0.491486 train-mlogloss:0.252730
[81] eval-mlogloss:0.490332 train-mlogloss:0.250774
[82] eval-mlogloss:0.489205 train-mlogloss:0.248851
[83] eval-mlogloss:0.488114 train-mlogloss:0.247262
[84] eval-mlogloss:0.487143 train-mlogloss:0.245202
[85] eval-mlogloss:0.486406 train-mlogloss:0.243439
[86] eval-mlogloss:0.485452 train-mlogloss:0.241712
[87] eval-mlogloss:0.484747 train-mlogloss:0.240257
[88] eval-mlogloss:0.483902 train-mlogloss:0.238590
[89] eval-mlogloss:0.483268 train-mlogloss:0.236972
[90] eval-mlogloss:0.482559 train-mlogloss:0.235504
[91] eval-mlogloss:0.481900 train-mlogloss:0.234004
[92] eval-mlogloss:0.481066 train-mlogloss:0.232086
[93] eval-mlogloss:0.480644 train-mlogloss:0.230553
[94] eval-mlogloss:0.479850 train-mlogloss:0.228931
[95] eval-mlogloss:0.478901 train-mlogloss:0.227171
[96] eval-mlogloss:0.478032 train-mlogloss:0.225678
[97] eval-mlogloss:0.477326 train-mlogloss:0.223934
[98] eval-mlogloss:0.476886 train-mlogloss:0.222279
[99] eval-mlogloss:0.476225 train-mlogloss:0.220980
[100] eval-mlogloss:0.475445 train-mlogloss:0.219586
[101] eval-mlogloss:0.474853 train-mlogloss:0.217865
[102] eval-mlogloss:0.474283 train-mlogloss:0.216560
[103] eval-mlogloss:0.473659 train-mlogloss:0.215124
[104] eval-mlogloss:0.473031 train-mlogloss:0.213768
[105] eval-mlogloss:0.472622 train-mlogloss:0.212244
[106] eval-mlogloss:0.472023 train-mlogloss:0.211173
[107] eval-mlogloss:0.471497 train-mlogloss:0.210111
[108] eval-mlogloss:0.471079 train-mlogloss:0.209131
[109] eval-mlogloss:0.470538 train-mlogloss:0.207968
[110] eval-mlogloss:0.470102 train-mlogloss:0.206701
[111] eval-mlogloss:0.469769 train-mlogloss:0.205110
[112] eval-mlogloss:0.469236 train-mlogloss:0.204158
[113] eval-mlogloss:0.468781 train-mlogloss:0.202531
[114] eval-mlogloss:0.468220 train-mlogloss:0.201304
[115] eval-mlogloss:0.467820 train-mlogloss:0.200010
[116] eval-mlogloss:0.467533 train-mlogloss:0.198494
[117] eval-mlogloss:0.467096 train-mlogloss:0.197462
[118] eval-mlogloss:0.466747 train-mlogloss:0.196195
[119] eval-mlogloss:0.466377 train-mlogloss:0.195383
[120] eval-mlogloss:0.465960 train-mlogloss:0.194332
[121] eval-mlogloss:0.465612 train-mlogloss:0.193383
[122] eval-mlogloss:0.465148 train-mlogloss:0.192403
[123] eval-mlogloss:0.464863 train-mlogloss:0.191221
[124] eval-mlogloss:0.464388 train-mlogloss:0.190195
[125] eval-mlogloss:0.464062 train-mlogloss:0.188948
[126] eval-mlogloss:0.463717 train-mlogloss:0.187914
[127] eval-mlogloss:0.463323 train-mlogloss:0.186777
[128] eval-mlogloss:0.462974 train-mlogloss:0.185558
[129] eval-mlogloss:0.462657 train-mlogloss:0.184498
[130] eval-mlogloss:0.462329 train-mlogloss:0.183385
[131] eval-mlogloss:0.462134 train-mlogloss:0.182327
[132] eval-mlogloss:0.461821 train-mlogloss:0.181353
[133] eval-mlogloss:0.461651 train-mlogloss:0.180500
[134] eval-mlogloss:0.461488 train-mlogloss:0.179752
[135] eval-mlogloss:0.461283 train-mlogloss:0.178632
[136] eval-mlogloss:0.461026 train-mlogloss:0.177782
[137] eval-mlogloss:0.460872 train-mlogloss:0.176712
[138] eval-mlogloss:0.460779 train-mlogloss:0.175742
[139] eval-mlogloss:0.460533 train-mlogloss:0.175014
[140] eval-mlogloss:0.460246 train-mlogloss:0.173923
[141] eval-mlogloss:0.460120 train-mlogloss:0.172676
[142] eval-mlogloss:0.459773 train-mlogloss:0.171818
[143] eval-mlogloss:0.459375 train-mlogloss:0.170997
[144] eval-mlogloss:0.459053 train-mlogloss:0.170110
[145] eval-mlogloss:0.458891 train-mlogloss:0.169115
[146] eval-mlogloss:0.458712 train-mlogloss:0.168123
[147] eval-mlogloss:0.458554 train-mlogloss:0.167357
[148] eval-mlogloss:0.458306 train-mlogloss:0.166285
[149] eval-mlogloss:0.458270 train-mlogloss:0.165375
[150] eval-mlogloss:0.458041 train-mlogloss:0.164568
[151] eval-mlogloss:0.457857 train-mlogloss:0.163898
[152] eval-mlogloss:0.457645 train-mlogloss:0.163100
[153] eval-mlogloss:0.457497 train-mlogloss:0.162142
[154] eval-mlogloss:0.457351 train-mlogloss:0.161088
[155] eval-mlogloss:0.457233 train-mlogloss:0.160317
[156] eval-mlogloss:0.456871 train-mlogloss:0.159423
[157] eval-mlogloss:0.456677 train-mlogloss:0.158752
[158] eval-mlogloss:0.456598 train-mlogloss:0.158120
[159] eval-mlogloss:0.456346 train-mlogloss:0.157374
[160] eval-mlogloss:0.456141 train-mlogloss:0.156697
[161] eval-mlogloss:0.455947 train-mlogloss:0.155951
[162] eval-mlogloss:0.455919 train-mlogloss:0.155084
[163] eval-mlogloss:0.455662 train-mlogloss:0.153980
[164] eval-mlogloss:0.455643 train-mlogloss:0.153299
[165] eval-mlogloss:0.455491 train-mlogloss:0.152476
[166] eval-mlogloss:0.455407 train-mlogloss:0.151584
[167] eval-mlogloss:0.455153 train-mlogloss:0.150860
[168] eval-mlogloss:0.455052 train-mlogloss:0.150004
[169] eval-mlogloss:0.455068 train-mlogloss:0.149168
[170] eval-mlogloss:0.454889 train-mlogloss:0.148340
[171] eval-mlogloss:0.454987 train-mlogloss:0.147591
[172] eval-mlogloss:0.454741 train-mlogloss:0.146765
[173] eval-mlogloss:0.454634 train-mlogloss:0.146103
[174] eval-mlogloss:0.454459 train-mlogloss:0.145500
[175] eval-mlogloss:0.454254 train-mlogloss:0.144727
[176] eval-mlogloss:0.454173 train-mlogloss:0.144208
[177] eval-mlogloss:0.454073 train-mlogloss:0.143398
[178] eval-mlogloss:0.454060 train-mlogloss:0.142733
[179] eval-mlogloss:0.453980 train-mlogloss:0.142100
[180] eval-mlogloss:0.453793 train-mlogloss:0.141532
[181] eval-mlogloss:0.453631 train-mlogloss:0.140888
[182] eval-mlogloss:0.453572 train-mlogloss:0.140062
[183] eval-mlogloss:0.453605 train-mlogloss:0.139395
[184] eval-mlogloss:0.453642 train-mlogloss:0.138917
[185] eval-mlogloss:0.453701 train-mlogloss:0.138158
[186] eval-mlogloss:0.453658 train-mlogloss:0.137497
[187] eval-mlogloss:0.453600 train-mlogloss:0.137000
[188] eval-mlogloss:0.453565 train-mlogloss:0.136495
[189] eval-mlogloss:0.453439 train-mlogloss:0.135809
[190] eval-mlogloss:0.453469 train-mlogloss:0.135130
[191] eval-mlogloss:0.453384 train-mlogloss:0.134575
[192] eval-mlogloss:0.453384 train-mlogloss:0.134113
[193] eval-mlogloss:0.453337 train-mlogloss:0.133467
[194] eval-mlogloss:0.453244 train-mlogloss:0.132875
[195] eval-mlogloss:0.453170 train-mlogloss:0.132323
[196] eval-mlogloss:0.453256 train-mlogloss:0.131794
[197] eval-mlogloss:0.453207 train-mlogloss:0.131299
[198] eval-mlogloss:0.453048 train-mlogloss:0.130572
[199] eval-mlogloss:0.453162 train-mlogloss:0.129828
[200] eval-mlogloss:0.453106 train-mlogloss:0.129279
[201] eval-mlogloss:0.453036 train-mlogloss:0.128762
[202] eval-mlogloss:0.453153 train-mlogloss:0.128019
[203] eval-mlogloss:0.453066 train-mlogloss:0.127291
[204] eval-mlogloss:0.453235 train-mlogloss:0.126629
[205] eval-mlogloss:0.453236 train-mlogloss:0.125901
[206] eval-mlogloss:0.453279 train-mlogloss:0.125263
[207] eval-mlogloss:0.453214 train-mlogloss:0.124714
[208] eval-mlogloss:0.453178 train-mlogloss:0.124115
[209] eval-mlogloss:0.453254 train-mlogloss:0.123576
[210] eval-mlogloss:0.453298 train-mlogloss:0.123015
[211] eval-mlogloss:0.453249 train-mlogloss:0.122594
[212] eval-mlogloss:0.453263 train-mlogloss:0.121792
[213] eval-mlogloss:0.453214 train-mlogloss:0.121331
[214] eval-mlogloss:0.453160 train-mlogloss:0.120887
[215] eval-mlogloss:0.453329 train-mlogloss:0.120494
[216] eval-mlogloss:0.453303 train-mlogloss:0.119844
[217] eval-mlogloss:0.453307 train-mlogloss:0.119311
[218] eval-mlogloss:0.453301 train-mlogloss:0.118856
[219] eval-mlogloss:0.453316 train-mlogloss:0.118282
[220] eval-mlogloss:0.453302 train-mlogloss:0.117832
[221] eval-mlogloss:0.453300 train-mlogloss:0.117311
[222] eval-mlogloss:0.453305 train-mlogloss:0.116680
[223] eval-mlogloss:0.453327 train-mlogloss:0.116064
[224] eval-mlogloss:0.453340 train-mlogloss:0.115500
[225] eval-mlogloss:0.453382 train-mlogloss:0.115016
[226] eval-mlogloss:0.453276 train-mlogloss:0.114331
[227] eval-mlogloss:0.453230 train-mlogloss:0.113860
[228] eval-mlogloss:0.453251 train-mlogloss:0.113428
[229] eval-mlogloss:0.453184 train-mlogloss:0.112846
[230] eval-mlogloss:0.453347 train-mlogloss:0.112309
[231] eval-mlogloss:0.453374 train-mlogloss:0.111838
[232] eval-mlogloss:0.453342 train-mlogloss:0.111475
[233] eval-mlogloss:0.453324 train-mlogloss:0.111025
[234] eval-mlogloss:0.453427 train-mlogloss:0.110511
[235] eval-mlogloss:0.453451 train-mlogloss:0.110032
[236] eval-mlogloss:0.453459 train-mlogloss:0.109627
[237] eval-mlogloss:0.453452 train-mlogloss:0.109115
[238] eval-mlogloss:0.453514 train-mlogloss:0.108759
[239] eval-mlogloss:0.453455 train-mlogloss:0.108358
[240] eval-mlogloss:0.453526 train-mlogloss:0.108060
[241] eval-mlogloss:0.453566 train-mlogloss:0.107645
[242] eval-mlogloss:0.453655 train-mlogloss:0.107266
[243] eval-mlogloss:0.453640 train-mlogloss:0.106755
[244] eval-mlogloss:0.453720 train-mlogloss:0.106260
[245] eval-mlogloss:0.453821 train-mlogloss:0.105892
[246] eval-mlogloss:0.453828 train-mlogloss:0.105545
[247] eval-mlogloss:0.453714 train-mlogloss:0.105115
[248] eval-mlogloss:0.453791 train-mlogloss:0.104720
[249] eval-mlogloss:0.453788 train-mlogloss:0.104303
[250] eval-mlogloss:0.453832 train-mlogloss:0.103881
[251] eval-mlogloss:0.453711 train-mlogloss:0.103457
[252] eval-mlogloss:0.453703 train-mlogloss:0.102791
[253] eval-mlogloss:0.453803 train-mlogloss:0.102355
[254] eval-mlogloss:0.453837 train-mlogloss:0.101995
[255] eval-mlogloss:0.453936 train-mlogloss:0.101631
[256] eval-mlogloss:0.453894 train-mlogloss:0.101241
[257] eval-mlogloss:0.454021 train-mlogloss:0.100778
[258] eval-mlogloss:0.453973 train-mlogloss:0.100476
[259] eval-mlogloss:0.453988 train-mlogloss:0.100081
In [14]:
xgb.train?
In [29]:
X, y = load_train()
print ("Splitting data into train and valid ...\n\n")
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=1234)
#Trials object where the history of search will be stored
trials = Trials()
optimize(trials)
Splitting data into train and valid ...
Training with params :
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.491517 eval-mlogloss:1.492735
[1] train-mlogloss:1.294912 eval-mlogloss:1.300167
[2] train-mlogloss:1.178109 eval-mlogloss:1.183033
[3] train-mlogloss:1.084187 eval-mlogloss:1.089740
[4] train-mlogloss:1.016327 eval-mlogloss:1.022353
[5] train-mlogloss:0.967663 eval-mlogloss:0.975172
[6] train-mlogloss:0.923306 eval-mlogloss:0.931761
[7] train-mlogloss:0.887959 eval-mlogloss:0.896196
[8] train-mlogloss:0.860368 eval-mlogloss:0.868892
[9] train-mlogloss:0.836863 eval-mlogloss:0.844343
[10] train-mlogloss:0.816982 eval-mlogloss:0.824781
[11] train-mlogloss:0.798980 eval-mlogloss:0.807633
[12] train-mlogloss:0.784160 eval-mlogloss:0.792670
[13] train-mlogloss:0.770862 eval-mlogloss:0.779892
[14] train-mlogloss:0.758900 eval-mlogloss:0.767076
[15] train-mlogloss:0.746889 eval-mlogloss:0.754389
[16] train-mlogloss:0.737020 eval-mlogloss:0.744447
[17] train-mlogloss:0.727481 eval-mlogloss:0.735359
[18] train-mlogloss:0.719478 eval-mlogloss:0.727581
[19] train-mlogloss:0.711938 eval-mlogloss:0.720162
[20] train-mlogloss:0.704246 eval-mlogloss:0.712422
[21] train-mlogloss:0.697699 eval-mlogloss:0.706462
[22] train-mlogloss:0.691488 eval-mlogloss:0.700901
[23] train-mlogloss:0.685961 eval-mlogloss:0.695808
[24] train-mlogloss:0.680286 eval-mlogloss:0.690276
[25] train-mlogloss:0.674651 eval-mlogloss:0.684997
[26] train-mlogloss:0.669616 eval-mlogloss:0.680111
[27] train-mlogloss:0.664541 eval-mlogloss:0.675365
[28] train-mlogloss:0.659642 eval-mlogloss:0.670468
[29] train-mlogloss:0.654952 eval-mlogloss:0.666420
[30] train-mlogloss:0.650975 eval-mlogloss:0.662765
[31] train-mlogloss:0.646927 eval-mlogloss:0.658985
[32] train-mlogloss:0.642806 eval-mlogloss:0.654160
[33] train-mlogloss:0.639038 eval-mlogloss:0.650973
[34] train-mlogloss:0.635726 eval-mlogloss:0.648133
[35] train-mlogloss:0.632613 eval-mlogloss:0.645431
[36] train-mlogloss:0.629104 eval-mlogloss:0.642519
[37] train-mlogloss:0.625961 eval-mlogloss:0.639849
[38] train-mlogloss:0.622624 eval-mlogloss:0.636950
[39] train-mlogloss:0.619500 eval-mlogloss:0.634830
[40] train-mlogloss:0.616435 eval-mlogloss:0.631648
[41] train-mlogloss:0.613450 eval-mlogloss:0.628929
[42] train-mlogloss:0.610811 eval-mlogloss:0.627218
[43] train-mlogloss:0.608182 eval-mlogloss:0.625195
[44] train-mlogloss:0.605758 eval-mlogloss:0.623332
[45] train-mlogloss:0.603061 eval-mlogloss:0.620318
[46] train-mlogloss:0.600796 eval-mlogloss:0.618228
[47] train-mlogloss:0.598811 eval-mlogloss:0.616466
[48] train-mlogloss:0.596847 eval-mlogloss:0.614569
[49] train-mlogloss:0.594663 eval-mlogloss:0.612851
[50] train-mlogloss:0.592538 eval-mlogloss:0.611291
[51] train-mlogloss:0.590599 eval-mlogloss:0.610097
[52] train-mlogloss:0.588565 eval-mlogloss:0.608618
[53] train-mlogloss:0.586504 eval-mlogloss:0.606863
[54] train-mlogloss:0.584652 eval-mlogloss:0.605285
[55] train-mlogloss:0.582585 eval-mlogloss:0.603401
[56] train-mlogloss:0.580810 eval-mlogloss:0.601769
[57] train-mlogloss:0.579010 eval-mlogloss:0.600500
[58] train-mlogloss:0.577429 eval-mlogloss:0.599350
[59] train-mlogloss:0.575763 eval-mlogloss:0.598158
[60] train-mlogloss:0.574047 eval-mlogloss:0.597029
[61] train-mlogloss:0.572504 eval-mlogloss:0.596015
[62] train-mlogloss:0.570793 eval-mlogloss:0.594703
[63] train-mlogloss:0.569033 eval-mlogloss:0.593114
[64] train-mlogloss:0.567482 eval-mlogloss:0.592159
[65] train-mlogloss:0.566014 eval-mlogloss:0.590785
[66] train-mlogloss:0.564403 eval-mlogloss:0.589822
[67] train-mlogloss:0.562906 eval-mlogloss:0.588438
[68] train-mlogloss:0.561600 eval-mlogloss:0.587507
[69] train-mlogloss:0.560429 eval-mlogloss:0.586521
[70] train-mlogloss:0.558769 eval-mlogloss:0.585346
[71] train-mlogloss:0.557347 eval-mlogloss:0.584513
[72] train-mlogloss:0.555934 eval-mlogloss:0.583606
[73] train-mlogloss:0.554746 eval-mlogloss:0.582881
[74] train-mlogloss:0.553616 eval-mlogloss:0.581879
[75] train-mlogloss:0.552343 eval-mlogloss:0.580698
[76] train-mlogloss:0.551162 eval-mlogloss:0.579589
[77] train-mlogloss:0.549835 eval-mlogloss:0.578323
[78] train-mlogloss:0.548449 eval-mlogloss:0.577049
[79] train-mlogloss:0.547324 eval-mlogloss:0.575994
[80] train-mlogloss:0.546221 eval-mlogloss:0.575004
[81] train-mlogloss:0.545245 eval-mlogloss:0.574609
[82] train-mlogloss:0.543775 eval-mlogloss:0.573457
[83] train-mlogloss:0.542699 eval-mlogloss:0.572858
[84] train-mlogloss:0.541555 eval-mlogloss:0.572170
[85] train-mlogloss:0.540327 eval-mlogloss:0.571145
[86] train-mlogloss:0.539412 eval-mlogloss:0.570940
[87] train-mlogloss:0.538591 eval-mlogloss:0.570491
[88] train-mlogloss:0.537652 eval-mlogloss:0.569646
[89] train-mlogloss:0.536536 eval-mlogloss:0.568558
[90] train-mlogloss:0.535614 eval-mlogloss:0.568198
[91] train-mlogloss:0.534676 eval-mlogloss:0.567729
[92] train-mlogloss:0.533747 eval-mlogloss:0.567261
[93] train-mlogloss:0.532966 eval-mlogloss:0.566594
[94] train-mlogloss:0.532074 eval-mlogloss:0.565765
[95] train-mlogloss:0.531129 eval-mlogloss:0.564757
[96] train-mlogloss:0.530163 eval-mlogloss:0.564409
[97] train-mlogloss:0.529166 eval-mlogloss:0.563708
[98] train-mlogloss:0.528322 eval-mlogloss:0.563283
[99] train-mlogloss:0.527297 eval-mlogloss:0.562994
[100] train-mlogloss:0.526401 eval-mlogloss:0.562408
[101] train-mlogloss:0.525333 eval-mlogloss:0.561243
[102] train-mlogloss:0.524235 eval-mlogloss:0.560399
[103] train-mlogloss:0.523501 eval-mlogloss:0.559910
[104] train-mlogloss:0.522608 eval-mlogloss:0.558837
[105] train-mlogloss:0.521607 eval-mlogloss:0.558151
[106] train-mlogloss:0.520706 eval-mlogloss:0.558004
[107] train-mlogloss:0.519884 eval-mlogloss:0.557550
[108] train-mlogloss:0.519092 eval-mlogloss:0.557270
[109] train-mlogloss:0.518094 eval-mlogloss:0.555949
[110] train-mlogloss:0.517264 eval-mlogloss:0.555430
[111] train-mlogloss:0.516439 eval-mlogloss:0.554881
[112] train-mlogloss:0.515637 eval-mlogloss:0.554587
[113] train-mlogloss:0.514903 eval-mlogloss:0.554400
[114] train-mlogloss:0.514147 eval-mlogloss:0.554145
[115] train-mlogloss:0.513379 eval-mlogloss:0.553830
[116] train-mlogloss:0.512666 eval-mlogloss:0.553620
[117] train-mlogloss:0.511803 eval-mlogloss:0.553197
[118] train-mlogloss:0.510910 eval-mlogloss:0.552608
[119] train-mlogloss:0.510156 eval-mlogloss:0.552194
[120] train-mlogloss:0.509506 eval-mlogloss:0.551697
[121] train-mlogloss:0.508630 eval-mlogloss:0.551005
[122] train-mlogloss:0.507789 eval-mlogloss:0.550889
[123] train-mlogloss:0.506957 eval-mlogloss:0.550238
[124] train-mlogloss:0.506243 eval-mlogloss:0.549649
[125] train-mlogloss:0.505472 eval-mlogloss:0.549050
[126] train-mlogloss:0.504754 eval-mlogloss:0.549055
[127] train-mlogloss:0.503940 eval-mlogloss:0.548728
[128] train-mlogloss:0.503261 eval-mlogloss:0.548329
[129] train-mlogloss:0.502517 eval-mlogloss:0.547922
[130] train-mlogloss:0.501718 eval-mlogloss:0.547694
[131] train-mlogloss:0.501064 eval-mlogloss:0.547662
[132] train-mlogloss:0.500435 eval-mlogloss:0.547362
[133] train-mlogloss:0.499781 eval-mlogloss:0.547146
[134] train-mlogloss:0.498955 eval-mlogloss:0.547140
[135] train-mlogloss:0.498238 eval-mlogloss:0.546502
[136] train-mlogloss:0.497635 eval-mlogloss:0.546222
[137] train-mlogloss:0.496931 eval-mlogloss:0.545941
[138] train-mlogloss:0.496171 eval-mlogloss:0.545712
[139] train-mlogloss:0.495477 eval-mlogloss:0.545275
[140] train-mlogloss:0.494639 eval-mlogloss:0.545126
[141] train-mlogloss:0.494042 eval-mlogloss:0.544806
[142] train-mlogloss:0.493489 eval-mlogloss:0.544457
[143] train-mlogloss:0.492790 eval-mlogloss:0.543851
[144] train-mlogloss:0.491843 eval-mlogloss:0.543394
[145] train-mlogloss:0.491226 eval-mlogloss:0.543114
[146] train-mlogloss:0.490597 eval-mlogloss:0.542930
[147] train-mlogloss:0.489900 eval-mlogloss:0.542710
[148] train-mlogloss:0.489356 eval-mlogloss:0.542417
[149] train-mlogloss:0.488860 eval-mlogloss:0.542137
[150] train-mlogloss:0.488339 eval-mlogloss:0.541813
[151] train-mlogloss:0.487651 eval-mlogloss:0.541617
[152] train-mlogloss:0.487076 eval-mlogloss:0.541633
[153] train-mlogloss:0.486327 eval-mlogloss:0.541108
[154] train-mlogloss:0.485789 eval-mlogloss:0.540780
[155] train-mlogloss:0.485257 eval-mlogloss:0.540687
[156] train-mlogloss:0.484713 eval-mlogloss:0.540665
[157] train-mlogloss:0.484167 eval-mlogloss:0.540025
[158] train-mlogloss:0.483546 eval-mlogloss:0.539662
[159] train-mlogloss:0.483066 eval-mlogloss:0.539665
[160] train-mlogloss:0.482457 eval-mlogloss:0.539298
[161] train-mlogloss:0.481883 eval-mlogloss:0.539004
[162] train-mlogloss:0.481338 eval-mlogloss:0.538908
[163] train-mlogloss:0.480733 eval-mlogloss:0.538453
[164] train-mlogloss:0.480042 eval-mlogloss:0.538056
[165] train-mlogloss:0.479452 eval-mlogloss:0.537739
[166] train-mlogloss:0.479068 eval-mlogloss:0.537719
[167] train-mlogloss:0.478520 eval-mlogloss:0.537140
[168] train-mlogloss:0.477907 eval-mlogloss:0.536868
[169] train-mlogloss:0.477299 eval-mlogloss:0.536720
[170] train-mlogloss:0.476746 eval-mlogloss:0.536465
[171] train-mlogloss:0.476332 eval-mlogloss:0.536196
[172] train-mlogloss:0.475897 eval-mlogloss:0.536167
[173] train-mlogloss:0.475433 eval-mlogloss:0.536073
[174] train-mlogloss:0.474975 eval-mlogloss:0.535996
[175] train-mlogloss:0.474507 eval-mlogloss:0.535843
[176] train-mlogloss:0.473862 eval-mlogloss:0.535648
[177] train-mlogloss:0.473381 eval-mlogloss:0.535336
[178] train-mlogloss:0.472855 eval-mlogloss:0.535241
[179] train-mlogloss:0.472349 eval-mlogloss:0.535166
[180] train-mlogloss:0.471849 eval-mlogloss:0.534615
[181] train-mlogloss:0.471281 eval-mlogloss:0.534472
[182] train-mlogloss:0.470754 eval-mlogloss:0.533994
[183] train-mlogloss:0.470135 eval-mlogloss:0.533629
[184] train-mlogloss:0.469550 eval-mlogloss:0.533391
[185] train-mlogloss:0.469027 eval-mlogloss:0.533337
[186] train-mlogloss:0.468586 eval-mlogloss:0.533303
[187] train-mlogloss:0.468025 eval-mlogloss:0.533174
[188] train-mlogloss:0.467479 eval-mlogloss:0.532810
[189] train-mlogloss:0.467075 eval-mlogloss:0.532722
[190] train-mlogloss:0.466648 eval-mlogloss:0.532806
[191] train-mlogloss:0.466174 eval-mlogloss:0.532954
[192] train-mlogloss:0.465667 eval-mlogloss:0.532825
[193] train-mlogloss:0.465230 eval-mlogloss:0.532871
[194] train-mlogloss:0.464865 eval-mlogloss:0.532720
[195] train-mlogloss:0.464316 eval-mlogloss:0.532689
[196] train-mlogloss:0.463874 eval-mlogloss:0.532411
[197] train-mlogloss:0.463335 eval-mlogloss:0.531966
[198] train-mlogloss:0.462863 eval-mlogloss:0.531794
[199] train-mlogloss:0.462389 eval-mlogloss:0.531424
[200] train-mlogloss:0.461944 eval-mlogloss:0.531521
[201] train-mlogloss:0.461487 eval-mlogloss:0.531434
[202] train-mlogloss:0.461091 eval-mlogloss:0.531493
[203] train-mlogloss:0.460608 eval-mlogloss:0.531385
[204] train-mlogloss:0.460158 eval-mlogloss:0.531351
[205] train-mlogloss:0.459652 eval-mlogloss:0.531257
[206] train-mlogloss:0.459218 eval-mlogloss:0.531080
[207] train-mlogloss:0.458849 eval-mlogloss:0.531139
[208] train-mlogloss:0.458283 eval-mlogloss:0.530477
[209] train-mlogloss:0.457891 eval-mlogloss:0.530194
[210] train-mlogloss:0.457594 eval-mlogloss:0.530046
[211] train-mlogloss:0.457180 eval-mlogloss:0.529671
[212] train-mlogloss:0.456548 eval-mlogloss:0.529370
[213] train-mlogloss:0.456144 eval-mlogloss:0.529188
[214] train-mlogloss:0.455773 eval-mlogloss:0.529368
[215] train-mlogloss:0.455403 eval-mlogloss:0.528961
[216] train-mlogloss:0.455052 eval-mlogloss:0.528544
[217] train-mlogloss:0.454637 eval-mlogloss:0.528526
[218] train-mlogloss:0.454264 eval-mlogloss:0.528643
[219] train-mlogloss:0.453773 eval-mlogloss:0.528680
[220] train-mlogloss:0.453436 eval-mlogloss:0.528446
[221] train-mlogloss:0.453039 eval-mlogloss:0.528391
[222] train-mlogloss:0.452632 eval-mlogloss:0.528252
[223] train-mlogloss:0.452264 eval-mlogloss:0.528020
[224] train-mlogloss:0.451873 eval-mlogloss:0.527758
[225] train-mlogloss:0.451492 eval-mlogloss:0.527587
[226] train-mlogloss:0.451110 eval-mlogloss:0.527503
[227] train-mlogloss:0.450765 eval-mlogloss:0.527382
[228] train-mlogloss:0.450400 eval-mlogloss:0.527467
[229] train-mlogloss:0.449988 eval-mlogloss:0.527191
[230] train-mlogloss:0.449621 eval-mlogloss:0.527308
[231] train-mlogloss:0.449248 eval-mlogloss:0.527381
[232] train-mlogloss:0.448900 eval-mlogloss:0.527230
[233] train-mlogloss:0.448464 eval-mlogloss:0.527176
[234] train-mlogloss:0.448000 eval-mlogloss:0.526950
[235] train-mlogloss:0.447610 eval-mlogloss:0.526824
[236] train-mlogloss:0.447332 eval-mlogloss:0.526590
[237] train-mlogloss:0.446925 eval-mlogloss:0.526119
[238] train-mlogloss:0.446568 eval-mlogloss:0.526215
[239] train-mlogloss:0.446185 eval-mlogloss:0.525813
[240] train-mlogloss:0.445808 eval-mlogloss:0.525892
[241] train-mlogloss:0.445419 eval-mlogloss:0.526040
[242] train-mlogloss:0.445085 eval-mlogloss:0.526015
[243] train-mlogloss:0.444737 eval-mlogloss:0.526116
[244] train-mlogloss:0.444325 eval-mlogloss:0.525822
[245] train-mlogloss:0.443838 eval-mlogloss:0.525637
[246] train-mlogloss:0.443425 eval-mlogloss:0.525270
[247] train-mlogloss:0.443074 eval-mlogloss:0.525254
[248] train-mlogloss:0.442609 eval-mlogloss:0.525215
[249] train-mlogloss:0.442268 eval-mlogloss:0.524878
[250] train-mlogloss:0.441852 eval-mlogloss:0.524704
[251] train-mlogloss:0.441428 eval-mlogloss:0.524801
[252] train-mlogloss:0.441025 eval-mlogloss:0.524684
[253] train-mlogloss:0.440723 eval-mlogloss:0.524393
[254] train-mlogloss:0.440357 eval-mlogloss:0.524076
[255] train-mlogloss:0.439912 eval-mlogloss:0.524016
[256] train-mlogloss:0.439488 eval-mlogloss:0.523715
[257] train-mlogloss:0.439190 eval-mlogloss:0.524040
[258] train-mlogloss:0.438848 eval-mlogloss:0.523815
[259] train-mlogloss:0.438547 eval-mlogloss:0.523686
[260] train-mlogloss:0.438206 eval-mlogloss:0.523792
[261] train-mlogloss:0.437901 eval-mlogloss:0.523711
[262] train-mlogloss:0.437547 eval-mlogloss:0.523767
[263] train-mlogloss:0.437099 eval-mlogloss:0.523416
[264] train-mlogloss:0.436649 eval-mlogloss:0.523450
[265] train-mlogloss:0.436270 eval-mlogloss:0.523248
[266] train-mlogloss:0.435878 eval-mlogloss:0.523040
[267] train-mlogloss:0.435546 eval-mlogloss:0.522922
[268] train-mlogloss:0.435194 eval-mlogloss:0.522714
[269] train-mlogloss:0.434765 eval-mlogloss:0.522670
[270] train-mlogloss:0.434377 eval-mlogloss:0.522659
[271] train-mlogloss:0.434123 eval-mlogloss:0.522495
[272] train-mlogloss:0.433824 eval-mlogloss:0.522478
[273] train-mlogloss:0.433370 eval-mlogloss:0.522594
[274] train-mlogloss:0.433070 eval-mlogloss:0.522712
[275] train-mlogloss:0.432612 eval-mlogloss:0.522528
[276] train-mlogloss:0.432275 eval-mlogloss:0.522788
[277] train-mlogloss:0.432014 eval-mlogloss:0.522577
[278] train-mlogloss:0.431705 eval-mlogloss:0.522598
[279] train-mlogloss:0.431416 eval-mlogloss:0.522484
[280] train-mlogloss:0.431050 eval-mlogloss:0.522229
[281] train-mlogloss:0.430753 eval-mlogloss:0.522086
[282] train-mlogloss:0.430463 eval-mlogloss:0.522191
[283] train-mlogloss:0.430269 eval-mlogloss:0.522140
[284] train-mlogloss:0.430022 eval-mlogloss:0.521986
[285] train-mlogloss:0.429604 eval-mlogloss:0.521914
[286] train-mlogloss:0.429360 eval-mlogloss:0.521970
[287] train-mlogloss:0.429047 eval-mlogloss:0.522181
[288] train-mlogloss:0.428705 eval-mlogloss:0.522098
[289] train-mlogloss:0.428385 eval-mlogloss:0.521918
[290] train-mlogloss:0.428209 eval-mlogloss:0.521737
[291] train-mlogloss:0.427800 eval-mlogloss:0.521464
[292] train-mlogloss:0.427451 eval-mlogloss:0.521188
[293] train-mlogloss:0.427044 eval-mlogloss:0.520860
[294] train-mlogloss:0.426697 eval-mlogloss:0.520659
[295] train-mlogloss:0.426324 eval-mlogloss:0.520919
[296] train-mlogloss:0.425950 eval-mlogloss:0.520786
[297] train-mlogloss:0.425638 eval-mlogloss:0.520917
[298] train-mlogloss:0.425274 eval-mlogloss:0.520736
[299] train-mlogloss:0.424989 eval-mlogloss:0.520680
[300] train-mlogloss:0.424569 eval-mlogloss:0.520567
[301] train-mlogloss:0.424237 eval-mlogloss:0.520363
[302] train-mlogloss:0.423966 eval-mlogloss:0.520226
[303] train-mlogloss:0.423679 eval-mlogloss:0.520181
[304] train-mlogloss:0.423305 eval-mlogloss:0.520070
[305] train-mlogloss:0.423003 eval-mlogloss:0.519715
[306] train-mlogloss:0.422621 eval-mlogloss:0.520034
[307] train-mlogloss:0.422319 eval-mlogloss:0.519851
[308] train-mlogloss:0.422090 eval-mlogloss:0.519938
[309] train-mlogloss:0.421706 eval-mlogloss:0.519622
[310] train-mlogloss:0.421325 eval-mlogloss:0.519186
[311] train-mlogloss:0.421022 eval-mlogloss:0.519455
[312] train-mlogloss:0.420740 eval-mlogloss:0.519557
[313] train-mlogloss:0.420334 eval-mlogloss:0.519177
[314] train-mlogloss:0.419987 eval-mlogloss:0.519206
[315] train-mlogloss:0.419654 eval-mlogloss:0.519260
[316] train-mlogloss:0.419366 eval-mlogloss:0.519373
[317] train-mlogloss:0.419046 eval-mlogloss:0.519279
[318] train-mlogloss:0.418813 eval-mlogloss:0.519246
[319] train-mlogloss:0.418440 eval-mlogloss:0.518825
[320] train-mlogloss:0.418181 eval-mlogloss:0.518837
[321] train-mlogloss:0.417956 eval-mlogloss:0.518491
[322] train-mlogloss:0.417722 eval-mlogloss:0.518161
[323] train-mlogloss:0.417485 eval-mlogloss:0.518378
[324] train-mlogloss:0.417153 eval-mlogloss:0.518523
[325] train-mlogloss:0.416849 eval-mlogloss:0.518547
[326] train-mlogloss:0.416593 eval-mlogloss:0.518277
[327] train-mlogloss:0.416316 eval-mlogloss:0.518215
[328] train-mlogloss:0.415997 eval-mlogloss:0.518295
[329] train-mlogloss:0.415746 eval-mlogloss:0.518339
[330] train-mlogloss:0.415490 eval-mlogloss:0.518420
[331] train-mlogloss:0.415206 eval-mlogloss:0.518149
[332] train-mlogloss:0.414956 eval-mlogloss:0.518091
[333] train-mlogloss:0.414655 eval-mlogloss:0.517673
[334] train-mlogloss:0.414366 eval-mlogloss:0.517462
[335] train-mlogloss:0.414149 eval-mlogloss:0.517345
[336] train-mlogloss:0.413895 eval-mlogloss:0.517297
[337] train-mlogloss:0.413618 eval-mlogloss:0.517399
[338] train-mlogloss:0.413351 eval-mlogloss:0.517453
[339] train-mlogloss:0.413021 eval-mlogloss:0.517480
[340] train-mlogloss:0.412769 eval-mlogloss:0.517470
[341] train-mlogloss:0.412585 eval-mlogloss:0.517880
[342] train-mlogloss:0.412281 eval-mlogloss:0.517416
[343] train-mlogloss:0.411988 eval-mlogloss:0.517317
[344] train-mlogloss:0.411755 eval-mlogloss:0.517509
[345] train-mlogloss:0.411407 eval-mlogloss:0.517451
[346] train-mlogloss:0.411109 eval-mlogloss:0.517265
[347] train-mlogloss:0.410895 eval-mlogloss:0.517298
[348] train-mlogloss:0.410648 eval-mlogloss:0.517132
[349] train-mlogloss:0.410365 eval-mlogloss:0.517315
[350] train-mlogloss:0.409979 eval-mlogloss:0.517204
[351] train-mlogloss:0.409717 eval-mlogloss:0.517446
[352] train-mlogloss:0.409395 eval-mlogloss:0.517379
[353] train-mlogloss:0.409066 eval-mlogloss:0.517279
[354] train-mlogloss:0.408752 eval-mlogloss:0.517258
[355] train-mlogloss:0.408501 eval-mlogloss:0.517364
[356] train-mlogloss:0.408199 eval-mlogloss:0.517095
[357] train-mlogloss:0.407909 eval-mlogloss:0.517106
[358] train-mlogloss:0.407554 eval-mlogloss:0.516860
[359] train-mlogloss:0.407324 eval-mlogloss:0.517026
[360] train-mlogloss:0.407026 eval-mlogloss:0.517218
[361] train-mlogloss:0.406779 eval-mlogloss:0.517256
[362] train-mlogloss:0.406490 eval-mlogloss:0.517564
[363] train-mlogloss:0.406202 eval-mlogloss:0.517370
[364] train-mlogloss:0.405983 eval-mlogloss:0.517427
[365] train-mlogloss:0.405761 eval-mlogloss:0.517702
[366] train-mlogloss:0.405474 eval-mlogloss:0.517712
[367] train-mlogloss:0.405164 eval-mlogloss:0.517438
[368] train-mlogloss:0.404832 eval-mlogloss:0.517150
{'eta': 0.5, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9, 'max_depth': 2.0, 'silent': 1, 'subsample': 0.65, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 765.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.517149685994843
Stopping. Best iteration:
[358] train-mlogloss:0.407554 eval-mlogloss:0.516860
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.387802 eval-mlogloss:1.424292
[1] train-mlogloss:1.099197 eval-mlogloss:1.162659
[2] train-mlogloss:0.908458 eval-mlogloss:0.993347
[3] train-mlogloss:0.768930 eval-mlogloss:0.875547
[4] train-mlogloss:0.667061 eval-mlogloss:0.793097
[5] train-mlogloss:0.589284 eval-mlogloss:0.733462
[6] train-mlogloss:0.530940 eval-mlogloss:0.685944
[7] train-mlogloss:0.487268 eval-mlogloss:0.652298
[8] train-mlogloss:0.448896 eval-mlogloss:0.623722
[9] train-mlogloss:0.416490 eval-mlogloss:0.601429
[10] train-mlogloss:0.390155 eval-mlogloss:0.583237
[11] train-mlogloss:0.368068 eval-mlogloss:0.568567
[12] train-mlogloss:0.348025 eval-mlogloss:0.555780
[13] train-mlogloss:0.334299 eval-mlogloss:0.546531
[14] train-mlogloss:0.319369 eval-mlogloss:0.538504
[15] train-mlogloss:0.307026 eval-mlogloss:0.530754
[16] train-mlogloss:0.296503 eval-mlogloss:0.524733
[17] train-mlogloss:0.285340 eval-mlogloss:0.519083
[18] train-mlogloss:0.278198 eval-mlogloss:0.514824
[19] train-mlogloss:0.269030 eval-mlogloss:0.510768
[20] train-mlogloss:0.261927 eval-mlogloss:0.507769
[21] train-mlogloss:0.255953 eval-mlogloss:0.504575
[22] train-mlogloss:0.249118 eval-mlogloss:0.502166
[23] train-mlogloss:0.243315 eval-mlogloss:0.499125
[24] train-mlogloss:0.236519 eval-mlogloss:0.496730
[25] train-mlogloss:0.230469 eval-mlogloss:0.494266
[26] train-mlogloss:0.225047 eval-mlogloss:0.493070
[27] train-mlogloss:0.220302 eval-mlogloss:0.491458
[28] train-mlogloss:0.216551 eval-mlogloss:0.489933
[29] train-mlogloss:0.213067 eval-mlogloss:0.488907
[30] train-mlogloss:0.208852 eval-mlogloss:0.487289
[31] train-mlogloss:0.204709 eval-mlogloss:0.486508
[32] train-mlogloss:0.201430 eval-mlogloss:0.485464
[33] train-mlogloss:0.196931 eval-mlogloss:0.484495
[34] train-mlogloss:0.193662 eval-mlogloss:0.483645
[35] train-mlogloss:0.190787 eval-mlogloss:0.482879
[36] train-mlogloss:0.186282 eval-mlogloss:0.482180
[37] train-mlogloss:0.182767 eval-mlogloss:0.481392
[38] train-mlogloss:0.179612 eval-mlogloss:0.481493
[39] train-mlogloss:0.175730 eval-mlogloss:0.480691
[40] train-mlogloss:0.172391 eval-mlogloss:0.480335
[41] train-mlogloss:0.169649 eval-mlogloss:0.480151
[42] train-mlogloss:0.167282 eval-mlogloss:0.479449
[43] train-mlogloss:0.164101 eval-mlogloss:0.479317
[44] train-mlogloss:0.161449 eval-mlogloss:0.479410
[45] train-mlogloss:0.158905 eval-mlogloss:0.479383
[46] train-mlogloss:0.156151 eval-mlogloss:0.479141
[47] train-mlogloss:0.153660 eval-mlogloss:0.479253
[48] train-mlogloss:0.151826 eval-mlogloss:0.479101
[49] train-mlogloss:0.150090 eval-mlogloss:0.478806
[50] train-mlogloss:0.147391 eval-mlogloss:0.478683
[51] train-mlogloss:0.145548 eval-mlogloss:0.478877
[52] train-mlogloss:0.143292 eval-mlogloss:0.478961
[53] train-mlogloss:0.141448 eval-mlogloss:0.479482
[54] train-mlogloss:0.139780 eval-mlogloss:0.479360
[55] train-mlogloss:0.137544 eval-mlogloss:0.478925
[56] train-mlogloss:0.136230 eval-mlogloss:0.478702
[57] train-mlogloss:0.134312 eval-mlogloss:0.478942
[58] train-mlogloss:0.132562 eval-mlogloss:0.478939
[59] train-mlogloss:0.130349 eval-mlogloss:0.479044
Training with params :
{'eta': 0.35000000000000003, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 13.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 424.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.47931245458101845
[60] train-mlogloss:0.127861 eval-mlogloss:0.479313
Stopping. Best iteration:
[50] train-mlogloss:0.147391 eval-mlogloss:0.478683
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.598108 eval-mlogloss:1.607499
[1] train-mlogloss:1.344142 eval-mlogloss:1.358980
[2] train-mlogloss:1.174479 eval-mlogloss:1.193851
[3] train-mlogloss:1.053046 eval-mlogloss:1.075949
[4] train-mlogloss:0.959232 eval-mlogloss:0.984803
[5] train-mlogloss:0.884371 eval-mlogloss:0.913379
[6] train-mlogloss:0.827017 eval-mlogloss:0.858840
[7] train-mlogloss:0.777866 eval-mlogloss:0.812207
[8] train-mlogloss:0.737368 eval-mlogloss:0.775125
[9] train-mlogloss:0.702867 eval-mlogloss:0.743247
[10] train-mlogloss:0.675713 eval-mlogloss:0.718881
[11] train-mlogloss:0.652257 eval-mlogloss:0.697362
[12] train-mlogloss:0.631124 eval-mlogloss:0.679411
[13] train-mlogloss:0.613559 eval-mlogloss:0.663955
[14] train-mlogloss:0.598504 eval-mlogloss:0.651311
[15] train-mlogloss:0.582976 eval-mlogloss:0.638061
[16] train-mlogloss:0.569862 eval-mlogloss:0.627554
[17] train-mlogloss:0.558726 eval-mlogloss:0.618559
[18] train-mlogloss:0.548456 eval-mlogloss:0.610248
[19] train-mlogloss:0.538132 eval-mlogloss:0.602073
[20] train-mlogloss:0.530613 eval-mlogloss:0.595970
[21] train-mlogloss:0.521758 eval-mlogloss:0.589134
[22] train-mlogloss:0.515115 eval-mlogloss:0.584648
[23] train-mlogloss:0.508091 eval-mlogloss:0.578804
[24] train-mlogloss:0.501049 eval-mlogloss:0.573979
[25] train-mlogloss:0.493710 eval-mlogloss:0.569637
[26] train-mlogloss:0.488090 eval-mlogloss:0.565510
[27] train-mlogloss:0.482424 eval-mlogloss:0.561494
[28] train-mlogloss:0.477964 eval-mlogloss:0.558393
[29] train-mlogloss:0.473997 eval-mlogloss:0.555493
[30] train-mlogloss:0.469639 eval-mlogloss:0.553068
[31] train-mlogloss:0.464897 eval-mlogloss:0.550133
[32] train-mlogloss:0.460154 eval-mlogloss:0.547343
[33] train-mlogloss:0.455541 eval-mlogloss:0.544592
[34] train-mlogloss:0.451993 eval-mlogloss:0.542906
[35] train-mlogloss:0.448585 eval-mlogloss:0.540866
[36] train-mlogloss:0.444567 eval-mlogloss:0.538312
[37] train-mlogloss:0.440900 eval-mlogloss:0.536221
[38] train-mlogloss:0.437591 eval-mlogloss:0.534351
[39] train-mlogloss:0.433836 eval-mlogloss:0.531859
[40] train-mlogloss:0.430550 eval-mlogloss:0.529576
[41] train-mlogloss:0.428165 eval-mlogloss:0.528325
[42] train-mlogloss:0.426126 eval-mlogloss:0.527143
[43] train-mlogloss:0.423594 eval-mlogloss:0.525502
[44] train-mlogloss:0.420728 eval-mlogloss:0.523992
[45] train-mlogloss:0.417964 eval-mlogloss:0.522637
[46] train-mlogloss:0.416247 eval-mlogloss:0.521786
[47] train-mlogloss:0.413621 eval-mlogloss:0.520736
[48] train-mlogloss:0.411369 eval-mlogloss:0.519226
[49] train-mlogloss:0.408998 eval-mlogloss:0.517685
[50] train-mlogloss:0.406612 eval-mlogloss:0.516787
[51] train-mlogloss:0.405259 eval-mlogloss:0.515867
[52] train-mlogloss:0.403232 eval-mlogloss:0.514897
[53] train-mlogloss:0.400926 eval-mlogloss:0.513862
[54] train-mlogloss:0.398215 eval-mlogloss:0.512955
[55] train-mlogloss:0.395754 eval-mlogloss:0.512019
[56] train-mlogloss:0.393440 eval-mlogloss:0.511028
[57] train-mlogloss:0.391843 eval-mlogloss:0.510319
[58] train-mlogloss:0.389405 eval-mlogloss:0.509394
[59] train-mlogloss:0.387841 eval-mlogloss:0.508334
[60] train-mlogloss:0.385706 eval-mlogloss:0.507206
[61] train-mlogloss:0.383642 eval-mlogloss:0.506108
[62] train-mlogloss:0.381809 eval-mlogloss:0.505426
[63] train-mlogloss:0.380698 eval-mlogloss:0.504858
[64] train-mlogloss:0.379228 eval-mlogloss:0.504408
[65] train-mlogloss:0.377356 eval-mlogloss:0.503806
[66] train-mlogloss:0.375767 eval-mlogloss:0.503291
[67] train-mlogloss:0.373621 eval-mlogloss:0.502298
[68] train-mlogloss:0.371908 eval-mlogloss:0.501382
[69] train-mlogloss:0.370127 eval-mlogloss:0.500777
[70] train-mlogloss:0.368416 eval-mlogloss:0.499982
[71] train-mlogloss:0.366512 eval-mlogloss:0.499394
[72] train-mlogloss:0.364838 eval-mlogloss:0.498785
[73] train-mlogloss:0.363413 eval-mlogloss:0.498471
[74] train-mlogloss:0.362373 eval-mlogloss:0.497871
[75] train-mlogloss:0.361560 eval-mlogloss:0.497586
[76] train-mlogloss:0.359838 eval-mlogloss:0.496917
[77] train-mlogloss:0.358700 eval-mlogloss:0.496439
[78] train-mlogloss:0.357529 eval-mlogloss:0.496065
[79] train-mlogloss:0.356254 eval-mlogloss:0.495747
[80] train-mlogloss:0.354497 eval-mlogloss:0.495349
[81] train-mlogloss:0.353320 eval-mlogloss:0.494721
[82] train-mlogloss:0.352141 eval-mlogloss:0.494217
[83] train-mlogloss:0.350991 eval-mlogloss:0.493764
[84] train-mlogloss:0.349453 eval-mlogloss:0.493352
[85] train-mlogloss:0.347841 eval-mlogloss:0.492926
[86] train-mlogloss:0.345481 eval-mlogloss:0.492207
[87] train-mlogloss:0.343541 eval-mlogloss:0.491374
[88] train-mlogloss:0.341927 eval-mlogloss:0.490952
[89] train-mlogloss:0.340829 eval-mlogloss:0.490696
[90] train-mlogloss:0.339282 eval-mlogloss:0.490468
[91] train-mlogloss:0.336851 eval-mlogloss:0.489919
[92] train-mlogloss:0.335446 eval-mlogloss:0.489585
[93] train-mlogloss:0.333899 eval-mlogloss:0.489091
[94] train-mlogloss:0.333016 eval-mlogloss:0.488900
[95] train-mlogloss:0.331688 eval-mlogloss:0.488445
[96] train-mlogloss:0.330547 eval-mlogloss:0.487808
[97] train-mlogloss:0.329450 eval-mlogloss:0.487603
[98] train-mlogloss:0.328185 eval-mlogloss:0.487227
[99] train-mlogloss:0.326878 eval-mlogloss:0.487154
[100] train-mlogloss:0.325762 eval-mlogloss:0.486580
[101] train-mlogloss:0.324707 eval-mlogloss:0.486446
[102] train-mlogloss:0.323712 eval-mlogloss:0.486404
[103] train-mlogloss:0.322910 eval-mlogloss:0.486214
[104] train-mlogloss:0.322062 eval-mlogloss:0.486090
[105] train-mlogloss:0.320963 eval-mlogloss:0.485666
[106] train-mlogloss:0.319575 eval-mlogloss:0.485541
[107] train-mlogloss:0.318344 eval-mlogloss:0.485492
[108] train-mlogloss:0.317434 eval-mlogloss:0.485520
[109] train-mlogloss:0.316692 eval-mlogloss:0.485381
[110] train-mlogloss:0.316060 eval-mlogloss:0.485038
[111] train-mlogloss:0.315202 eval-mlogloss:0.484611
[112] train-mlogloss:0.314442 eval-mlogloss:0.484508
[113] train-mlogloss:0.313827 eval-mlogloss:0.484279
[114] train-mlogloss:0.312855 eval-mlogloss:0.483849
[115] train-mlogloss:0.311494 eval-mlogloss:0.483266
[116] train-mlogloss:0.310151 eval-mlogloss:0.482980
[117] train-mlogloss:0.308850 eval-mlogloss:0.482484
[118] train-mlogloss:0.307837 eval-mlogloss:0.482135
[119] train-mlogloss:0.306694 eval-mlogloss:0.481832
[120] train-mlogloss:0.305150 eval-mlogloss:0.481302
[121] train-mlogloss:0.304152 eval-mlogloss:0.481065
[122] train-mlogloss:0.303513 eval-mlogloss:0.481180
[123] train-mlogloss:0.302460 eval-mlogloss:0.481083
[124] train-mlogloss:0.301160 eval-mlogloss:0.480551
[125] train-mlogloss:0.300341 eval-mlogloss:0.480461
[126] train-mlogloss:0.300069 eval-mlogloss:0.480323
[127] train-mlogloss:0.299387 eval-mlogloss:0.480248
[128] train-mlogloss:0.298867 eval-mlogloss:0.480074
[129] train-mlogloss:0.297898 eval-mlogloss:0.479752
[130] train-mlogloss:0.296638 eval-mlogloss:0.479548
[131] train-mlogloss:0.295995 eval-mlogloss:0.479550
[132] train-mlogloss:0.294966 eval-mlogloss:0.479339
[133] train-mlogloss:0.294229 eval-mlogloss:0.479003
[134] train-mlogloss:0.293480 eval-mlogloss:0.478817
[135] train-mlogloss:0.292647 eval-mlogloss:0.478484
[136] train-mlogloss:0.292030 eval-mlogloss:0.478414
[137] train-mlogloss:0.291201 eval-mlogloss:0.478220
[138] train-mlogloss:0.290331 eval-mlogloss:0.478019
[139] train-mlogloss:0.290096 eval-mlogloss:0.477973
[140] train-mlogloss:0.289476 eval-mlogloss:0.477864
[141] train-mlogloss:0.288507 eval-mlogloss:0.477950
[142] train-mlogloss:0.287767 eval-mlogloss:0.477833
[143] train-mlogloss:0.287407 eval-mlogloss:0.477720
[144] train-mlogloss:0.286542 eval-mlogloss:0.477409
[145] train-mlogloss:0.286225 eval-mlogloss:0.477529
[146] train-mlogloss:0.285909 eval-mlogloss:0.477525
[147] train-mlogloss:0.285576 eval-mlogloss:0.477438
[148] train-mlogloss:0.285249 eval-mlogloss:0.477501
[149] train-mlogloss:0.284522 eval-mlogloss:0.477219
[150] train-mlogloss:0.284206 eval-mlogloss:0.477139
[151] train-mlogloss:0.283287 eval-mlogloss:0.477050
[152] train-mlogloss:0.282749 eval-mlogloss:0.476948
[153] train-mlogloss:0.282240 eval-mlogloss:0.476797
[154] train-mlogloss:0.281377 eval-mlogloss:0.476475
[155] train-mlogloss:0.280670 eval-mlogloss:0.476550
[156] train-mlogloss:0.279702 eval-mlogloss:0.476564
[157] train-mlogloss:0.278434 eval-mlogloss:0.476347
[158] train-mlogloss:0.277353 eval-mlogloss:0.476144
[159] train-mlogloss:0.276503 eval-mlogloss:0.476112
[160] train-mlogloss:0.275639 eval-mlogloss:0.475921
[161] train-mlogloss:0.274649 eval-mlogloss:0.475793
[162] train-mlogloss:0.273887 eval-mlogloss:0.475741
[163] train-mlogloss:0.273312 eval-mlogloss:0.475658
[164] train-mlogloss:0.273082 eval-mlogloss:0.475682
[165] train-mlogloss:0.272789 eval-mlogloss:0.475584
[166] train-mlogloss:0.272389 eval-mlogloss:0.475638
[167] train-mlogloss:0.272188 eval-mlogloss:0.475543
[168] train-mlogloss:0.271661 eval-mlogloss:0.475385
[169] train-mlogloss:0.271259 eval-mlogloss:0.475434
[170] train-mlogloss:0.271043 eval-mlogloss:0.475307
[171] train-mlogloss:0.270637 eval-mlogloss:0.475261
[172] train-mlogloss:0.270175 eval-mlogloss:0.475184
[173] train-mlogloss:0.269924 eval-mlogloss:0.475128
[174] train-mlogloss:0.269238 eval-mlogloss:0.475205
[175] train-mlogloss:0.268453 eval-mlogloss:0.475085
[176] train-mlogloss:0.267879 eval-mlogloss:0.474923
[177] train-mlogloss:0.267640 eval-mlogloss:0.474800
[178] train-mlogloss:0.267492 eval-mlogloss:0.474689
[179] train-mlogloss:0.267263 eval-mlogloss:0.474680
[180] train-mlogloss:0.266889 eval-mlogloss:0.474689
[181] train-mlogloss:0.266349 eval-mlogloss:0.474593
[182] train-mlogloss:0.265833 eval-mlogloss:0.474536
[183] train-mlogloss:0.265099 eval-mlogloss:0.474480
[184] train-mlogloss:0.264407 eval-mlogloss:0.474351
[185] train-mlogloss:0.263588 eval-mlogloss:0.474401
[186] train-mlogloss:0.263209 eval-mlogloss:0.474396
[187] train-mlogloss:0.262373 eval-mlogloss:0.474336
[188] train-mlogloss:0.261774 eval-mlogloss:0.474303
[189] train-mlogloss:0.261006 eval-mlogloss:0.474278
[190] train-mlogloss:0.260620 eval-mlogloss:0.474216
[191] train-mlogloss:0.260330 eval-mlogloss:0.474228
[192] train-mlogloss:0.259748 eval-mlogloss:0.474295
[193] train-mlogloss:0.259039 eval-mlogloss:0.474185
[194] train-mlogloss:0.258693 eval-mlogloss:0.474237
[195] train-mlogloss:0.258387 eval-mlogloss:0.474184
[196] train-mlogloss:0.258224 eval-mlogloss:0.474155
[197] train-mlogloss:0.257805 eval-mlogloss:0.473999
[198] train-mlogloss:0.257360 eval-mlogloss:0.473882
[199] train-mlogloss:0.256628 eval-mlogloss:0.473982
[200] train-mlogloss:0.255918 eval-mlogloss:0.473744
[201] train-mlogloss:0.255285 eval-mlogloss:0.473636
[202] train-mlogloss:0.255090 eval-mlogloss:0.473682
[203] train-mlogloss:0.254355 eval-mlogloss:0.473525
[204] train-mlogloss:0.254097 eval-mlogloss:0.473475
[205] train-mlogloss:0.253769 eval-mlogloss:0.473572
[206] train-mlogloss:0.253701 eval-mlogloss:0.473574
[207] train-mlogloss:0.253506 eval-mlogloss:0.473539
[208] train-mlogloss:0.253438 eval-mlogloss:0.473536
[209] train-mlogloss:0.253075 eval-mlogloss:0.473468
[210] train-mlogloss:0.252428 eval-mlogloss:0.473446
[211] train-mlogloss:0.251949 eval-mlogloss:0.473351
[212] train-mlogloss:0.251350 eval-mlogloss:0.473234
[213] train-mlogloss:0.250582 eval-mlogloss:0.472986
[214] train-mlogloss:0.250153 eval-mlogloss:0.472833
[215] train-mlogloss:0.249482 eval-mlogloss:0.472669
[216] train-mlogloss:0.248816 eval-mlogloss:0.472671
[217] train-mlogloss:0.248261 eval-mlogloss:0.472557
[218] train-mlogloss:0.247456 eval-mlogloss:0.472595
[219] train-mlogloss:0.246859 eval-mlogloss:0.472650
[220] train-mlogloss:0.246386 eval-mlogloss:0.472671
[221] train-mlogloss:0.245842 eval-mlogloss:0.472533
[222] train-mlogloss:0.245402 eval-mlogloss:0.472477
[223] train-mlogloss:0.245253 eval-mlogloss:0.472479
[224] train-mlogloss:0.244998 eval-mlogloss:0.472408
[225] train-mlogloss:0.244453 eval-mlogloss:0.472433
[226] train-mlogloss:0.244322 eval-mlogloss:0.472429
[227] train-mlogloss:0.243855 eval-mlogloss:0.472432
[228] train-mlogloss:0.243634 eval-mlogloss:0.472406
[229] train-mlogloss:0.243315 eval-mlogloss:0.472300
[230] train-mlogloss:0.242992 eval-mlogloss:0.472248
[231] train-mlogloss:0.242874 eval-mlogloss:0.472226
[232] train-mlogloss:0.242549 eval-mlogloss:0.472198
[233] train-mlogloss:0.242363 eval-mlogloss:0.472135
[234] train-mlogloss:0.242138 eval-mlogloss:0.472218
[235] train-mlogloss:0.242099 eval-mlogloss:0.472194
[236] train-mlogloss:0.241801 eval-mlogloss:0.472180
[237] train-mlogloss:0.241566 eval-mlogloss:0.472221
[238] train-mlogloss:0.241304 eval-mlogloss:0.472230
[239] train-mlogloss:0.241174 eval-mlogloss:0.472173
[240] train-mlogloss:0.241124 eval-mlogloss:0.472201
[241] train-mlogloss:0.241020 eval-mlogloss:0.472206
[242] train-mlogloss:0.240901 eval-mlogloss:0.472273
[243] train-mlogloss:0.240721 eval-mlogloss:0.472236
Training with params :
{'eta': 0.275, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9, 'max_depth': 6.0, 'silent': 1, 'subsample': 1.0, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 854.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 1.0}
Score 0.472236036094701
Stopping. Best iteration:
[233] train-mlogloss:0.242363 eval-mlogloss:0.472135
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.696552 eval-mlogloss:1.713129
[1] train-mlogloss:1.431822 eval-mlogloss:1.462062
[2] train-mlogloss:1.247284 eval-mlogloss:1.289386
[3] train-mlogloss:1.104276 eval-mlogloss:1.158327
[4] train-mlogloss:0.992856 eval-mlogloss:1.056996
[5] train-mlogloss:0.900820 eval-mlogloss:0.974562
[6] train-mlogloss:0.826139 eval-mlogloss:0.907688
[7] train-mlogloss:0.762576 eval-mlogloss:0.852531
[8] train-mlogloss:0.708225 eval-mlogloss:0.806098
[9] train-mlogloss:0.661469 eval-mlogloss:0.766603
[10] train-mlogloss:0.622140 eval-mlogloss:0.732799
[11] train-mlogloss:0.587512 eval-mlogloss:0.704359
[12] train-mlogloss:0.557090 eval-mlogloss:0.679253
[13] train-mlogloss:0.531358 eval-mlogloss:0.658963
[14] train-mlogloss:0.506619 eval-mlogloss:0.640870
[15] train-mlogloss:0.485603 eval-mlogloss:0.626394
[16] train-mlogloss:0.467652 eval-mlogloss:0.612444
[17] train-mlogloss:0.449105 eval-mlogloss:0.599234
[18] train-mlogloss:0.434571 eval-mlogloss:0.588690
[19] train-mlogloss:0.420339 eval-mlogloss:0.579028
[20] train-mlogloss:0.407033 eval-mlogloss:0.570174
[21] train-mlogloss:0.395393 eval-mlogloss:0.561938
[22] train-mlogloss:0.384157 eval-mlogloss:0.554734
[23] train-mlogloss:0.375791 eval-mlogloss:0.548896
[24] train-mlogloss:0.366019 eval-mlogloss:0.543250
[25] train-mlogloss:0.358108 eval-mlogloss:0.538330
[26] train-mlogloss:0.351094 eval-mlogloss:0.533642
[27] train-mlogloss:0.343880 eval-mlogloss:0.529817
[28] train-mlogloss:0.337275 eval-mlogloss:0.525822
[29] train-mlogloss:0.330594 eval-mlogloss:0.522296
[30] train-mlogloss:0.324542 eval-mlogloss:0.519152
[31] train-mlogloss:0.318822 eval-mlogloss:0.516098
[32] train-mlogloss:0.314442 eval-mlogloss:0.513212
[33] train-mlogloss:0.308719 eval-mlogloss:0.510442
[34] train-mlogloss:0.303982 eval-mlogloss:0.508414
[35] train-mlogloss:0.299446 eval-mlogloss:0.506335
[36] train-mlogloss:0.295189 eval-mlogloss:0.504207
[37] train-mlogloss:0.289544 eval-mlogloss:0.502162
[38] train-mlogloss:0.285793 eval-mlogloss:0.500406
[39] train-mlogloss:0.281679 eval-mlogloss:0.498315
[40] train-mlogloss:0.277959 eval-mlogloss:0.496766
[41] train-mlogloss:0.274785 eval-mlogloss:0.495564
[42] train-mlogloss:0.271033 eval-mlogloss:0.494311
[43] train-mlogloss:0.267640 eval-mlogloss:0.493102
[44] train-mlogloss:0.265241 eval-mlogloss:0.491808
[45] train-mlogloss:0.262177 eval-mlogloss:0.490848
[46] train-mlogloss:0.259027 eval-mlogloss:0.489489
[47] train-mlogloss:0.255680 eval-mlogloss:0.488205
[48] train-mlogloss:0.252034 eval-mlogloss:0.486948
[49] train-mlogloss:0.248630 eval-mlogloss:0.486030
[50] train-mlogloss:0.246204 eval-mlogloss:0.485146
[51] train-mlogloss:0.242425 eval-mlogloss:0.484310
[52] train-mlogloss:0.239947 eval-mlogloss:0.483563
[53] train-mlogloss:0.237273 eval-mlogloss:0.482888
[54] train-mlogloss:0.234287 eval-mlogloss:0.482286
[55] train-mlogloss:0.231940 eval-mlogloss:0.481685
[56] train-mlogloss:0.229318 eval-mlogloss:0.480866
[57] train-mlogloss:0.227506 eval-mlogloss:0.480231
[58] train-mlogloss:0.224801 eval-mlogloss:0.479401
[59] train-mlogloss:0.222345 eval-mlogloss:0.478768
[60] train-mlogloss:0.219640 eval-mlogloss:0.478510
[61] train-mlogloss:0.217183 eval-mlogloss:0.477832
[62] train-mlogloss:0.214643 eval-mlogloss:0.477305
[63] train-mlogloss:0.212622 eval-mlogloss:0.476703
[64] train-mlogloss:0.210776 eval-mlogloss:0.476293
[65] train-mlogloss:0.209175 eval-mlogloss:0.476041
[66] train-mlogloss:0.206641 eval-mlogloss:0.475659
[67] train-mlogloss:0.204513 eval-mlogloss:0.475330
[68] train-mlogloss:0.202740 eval-mlogloss:0.474544
[69] train-mlogloss:0.201372 eval-mlogloss:0.474256
[70] train-mlogloss:0.199841 eval-mlogloss:0.473898
[71] train-mlogloss:0.197645 eval-mlogloss:0.473262
[72] train-mlogloss:0.195702 eval-mlogloss:0.473058
[73] train-mlogloss:0.193809 eval-mlogloss:0.472855
[74] train-mlogloss:0.192424 eval-mlogloss:0.472957
[75] train-mlogloss:0.190641 eval-mlogloss:0.472351
[76] train-mlogloss:0.188661 eval-mlogloss:0.472079
[77] train-mlogloss:0.186972 eval-mlogloss:0.471688
[78] train-mlogloss:0.184607 eval-mlogloss:0.471533
[79] train-mlogloss:0.182713 eval-mlogloss:0.471408
[80] train-mlogloss:0.180649 eval-mlogloss:0.471479
[81] train-mlogloss:0.179048 eval-mlogloss:0.471411
[82] train-mlogloss:0.177867 eval-mlogloss:0.471071
[83] train-mlogloss:0.176656 eval-mlogloss:0.470784
[84] train-mlogloss:0.175185 eval-mlogloss:0.470787
[85] train-mlogloss:0.173712 eval-mlogloss:0.470699
[86] train-mlogloss:0.172036 eval-mlogloss:0.470146
[87] train-mlogloss:0.170736 eval-mlogloss:0.470026
[88] train-mlogloss:0.169323 eval-mlogloss:0.469568
[89] train-mlogloss:0.167954 eval-mlogloss:0.469614
[90] train-mlogloss:0.166811 eval-mlogloss:0.469418
[91] train-mlogloss:0.165457 eval-mlogloss:0.469476
[92] train-mlogloss:0.164133 eval-mlogloss:0.469521
[93] train-mlogloss:0.162633 eval-mlogloss:0.469626
[94] train-mlogloss:0.161084 eval-mlogloss:0.469314
[95] train-mlogloss:0.159812 eval-mlogloss:0.469216
[96] train-mlogloss:0.158583 eval-mlogloss:0.469210
[97] train-mlogloss:0.157530 eval-mlogloss:0.469145
[98] train-mlogloss:0.156323 eval-mlogloss:0.469013
[99] train-mlogloss:0.154593 eval-mlogloss:0.468890
[100] train-mlogloss:0.153336 eval-mlogloss:0.469069
[101] train-mlogloss:0.152314 eval-mlogloss:0.469023
[102] train-mlogloss:0.150965 eval-mlogloss:0.469081
[103] train-mlogloss:0.150045 eval-mlogloss:0.469037
[104] train-mlogloss:0.148679 eval-mlogloss:0.468932
[105] train-mlogloss:0.147729 eval-mlogloss:0.468866
[106] train-mlogloss:0.146305 eval-mlogloss:0.468805
[107] train-mlogloss:0.145571 eval-mlogloss:0.469086
[108] train-mlogloss:0.144285 eval-mlogloss:0.469120
[109] train-mlogloss:0.143444 eval-mlogloss:0.469211
[110] train-mlogloss:0.142503 eval-mlogloss:0.469322
[111] train-mlogloss:0.141567 eval-mlogloss:0.469489
[112] train-mlogloss:0.140452 eval-mlogloss:0.469643
[113] train-mlogloss:0.139372 eval-mlogloss:0.469658
[114] train-mlogloss:0.138580 eval-mlogloss:0.469963
[115] train-mlogloss:0.137646 eval-mlogloss:0.469950
Training with params :
{'eta': 0.2, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 13.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 6.0, 'n_estimators': 604.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.47001384543788904
[116] train-mlogloss:0.136725 eval-mlogloss:0.470014
Stopping. Best iteration:
[106] train-mlogloss:0.146305 eval-mlogloss:0.468805
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.580873 eval-mlogloss:1.584858
[1] train-mlogloss:1.350264 eval-mlogloss:1.357061
[2] train-mlogloss:1.187720 eval-mlogloss:1.195710
[3] train-mlogloss:1.076411 eval-mlogloss:1.085702
[4] train-mlogloss:0.992639 eval-mlogloss:1.002049
[5] train-mlogloss:0.926014 eval-mlogloss:0.935232
[6] train-mlogloss:0.879045 eval-mlogloss:0.889281
[7] train-mlogloss:0.838314 eval-mlogloss:0.849468
[8] train-mlogloss:0.802649 eval-mlogloss:0.814374
[9] train-mlogloss:0.771604 eval-mlogloss:0.784717
[10] train-mlogloss:0.748534 eval-mlogloss:0.762428
[11] train-mlogloss:0.726014 eval-mlogloss:0.742109
[12] train-mlogloss:0.708786 eval-mlogloss:0.726056
[13] train-mlogloss:0.692170 eval-mlogloss:0.709998
[14] train-mlogloss:0.677177 eval-mlogloss:0.695603
[15] train-mlogloss:0.664587 eval-mlogloss:0.683723
[16] train-mlogloss:0.653133 eval-mlogloss:0.672737
[17] train-mlogloss:0.641886 eval-mlogloss:0.662057
[18] train-mlogloss:0.632561 eval-mlogloss:0.653562
[19] train-mlogloss:0.623224 eval-mlogloss:0.645277
[20] train-mlogloss:0.615288 eval-mlogloss:0.638280
[21] train-mlogloss:0.607310 eval-mlogloss:0.631867
[22] train-mlogloss:0.600327 eval-mlogloss:0.625705
[23] train-mlogloss:0.594136 eval-mlogloss:0.620385
[24] train-mlogloss:0.588738 eval-mlogloss:0.616209
[25] train-mlogloss:0.583015 eval-mlogloss:0.611189
[26] train-mlogloss:0.577408 eval-mlogloss:0.606997
[27] train-mlogloss:0.572749 eval-mlogloss:0.603652
[28] train-mlogloss:0.568075 eval-mlogloss:0.600109
[29] train-mlogloss:0.563793 eval-mlogloss:0.596413
[30] train-mlogloss:0.559469 eval-mlogloss:0.593038
[31] train-mlogloss:0.555521 eval-mlogloss:0.590091
[32] train-mlogloss:0.551917 eval-mlogloss:0.587422
[33] train-mlogloss:0.548217 eval-mlogloss:0.584130
[34] train-mlogloss:0.544496 eval-mlogloss:0.581191
[35] train-mlogloss:0.540890 eval-mlogloss:0.578472
[36] train-mlogloss:0.537641 eval-mlogloss:0.575754
[37] train-mlogloss:0.534484 eval-mlogloss:0.573253
[38] train-mlogloss:0.531235 eval-mlogloss:0.570821
[39] train-mlogloss:0.527527 eval-mlogloss:0.568485
[40] train-mlogloss:0.524603 eval-mlogloss:0.566383
[41] train-mlogloss:0.521975 eval-mlogloss:0.564131
[42] train-mlogloss:0.519392 eval-mlogloss:0.562589
[43] train-mlogloss:0.516661 eval-mlogloss:0.560552
[44] train-mlogloss:0.514468 eval-mlogloss:0.558982
[45] train-mlogloss:0.511446 eval-mlogloss:0.557105
[46] train-mlogloss:0.508387 eval-mlogloss:0.555011
[47] train-mlogloss:0.505439 eval-mlogloss:0.553543
[48] train-mlogloss:0.502676 eval-mlogloss:0.551740
[49] train-mlogloss:0.499961 eval-mlogloss:0.550141
[50] train-mlogloss:0.497432 eval-mlogloss:0.548666
[51] train-mlogloss:0.494726 eval-mlogloss:0.546831
[52] train-mlogloss:0.492820 eval-mlogloss:0.545401
[53] train-mlogloss:0.490654 eval-mlogloss:0.544249
[54] train-mlogloss:0.488457 eval-mlogloss:0.542791
[55] train-mlogloss:0.485781 eval-mlogloss:0.541612
[56] train-mlogloss:0.483439 eval-mlogloss:0.540316
[57] train-mlogloss:0.481601 eval-mlogloss:0.539211
[58] train-mlogloss:0.479361 eval-mlogloss:0.537907
[59] train-mlogloss:0.477344 eval-mlogloss:0.537011
[60] train-mlogloss:0.475687 eval-mlogloss:0.536208
[61] train-mlogloss:0.473737 eval-mlogloss:0.534920
[62] train-mlogloss:0.471916 eval-mlogloss:0.534122
[63] train-mlogloss:0.470006 eval-mlogloss:0.533141
[64] train-mlogloss:0.468175 eval-mlogloss:0.532048
[65] train-mlogloss:0.466674 eval-mlogloss:0.530745
[66] train-mlogloss:0.465399 eval-mlogloss:0.530071
[67] train-mlogloss:0.463826 eval-mlogloss:0.529610
[68] train-mlogloss:0.462522 eval-mlogloss:0.528813
[69] train-mlogloss:0.460755 eval-mlogloss:0.527535
[70] train-mlogloss:0.459104 eval-mlogloss:0.526950
[71] train-mlogloss:0.457289 eval-mlogloss:0.525877
[72] train-mlogloss:0.455551 eval-mlogloss:0.524873
[73] train-mlogloss:0.454074 eval-mlogloss:0.524260
[74] train-mlogloss:0.452867 eval-mlogloss:0.523759
[75] train-mlogloss:0.451270 eval-mlogloss:0.523253
[76] train-mlogloss:0.449873 eval-mlogloss:0.522301
[77] train-mlogloss:0.448551 eval-mlogloss:0.521314
[78] train-mlogloss:0.447379 eval-mlogloss:0.520829
[79] train-mlogloss:0.445962 eval-mlogloss:0.520253
[80] train-mlogloss:0.444112 eval-mlogloss:0.519296
[81] train-mlogloss:0.442756 eval-mlogloss:0.518737
[82] train-mlogloss:0.441312 eval-mlogloss:0.517922
[83] train-mlogloss:0.440228 eval-mlogloss:0.517277
[84] train-mlogloss:0.438344 eval-mlogloss:0.516609
[85] train-mlogloss:0.436469 eval-mlogloss:0.515478
[86] train-mlogloss:0.434927 eval-mlogloss:0.515069
[87] train-mlogloss:0.433762 eval-mlogloss:0.514473
[88] train-mlogloss:0.432368 eval-mlogloss:0.513676
[89] train-mlogloss:0.430963 eval-mlogloss:0.512873
[90] train-mlogloss:0.429666 eval-mlogloss:0.512324
[91] train-mlogloss:0.428766 eval-mlogloss:0.512035
[92] train-mlogloss:0.427288 eval-mlogloss:0.511474
[93] train-mlogloss:0.426002 eval-mlogloss:0.511350
[94] train-mlogloss:0.424614 eval-mlogloss:0.510767
[95] train-mlogloss:0.423478 eval-mlogloss:0.510331
[96] train-mlogloss:0.422367 eval-mlogloss:0.509681
[97] train-mlogloss:0.421319 eval-mlogloss:0.509531
[98] train-mlogloss:0.420119 eval-mlogloss:0.508934
[99] train-mlogloss:0.419129 eval-mlogloss:0.508549
[100] train-mlogloss:0.417819 eval-mlogloss:0.508021
[101] train-mlogloss:0.416616 eval-mlogloss:0.507728
[102] train-mlogloss:0.415253 eval-mlogloss:0.507455
[103] train-mlogloss:0.414224 eval-mlogloss:0.507017
[104] train-mlogloss:0.412664 eval-mlogloss:0.506387
[105] train-mlogloss:0.411223 eval-mlogloss:0.505695
[106] train-mlogloss:0.410093 eval-mlogloss:0.505398
[107] train-mlogloss:0.408860 eval-mlogloss:0.504949
[108] train-mlogloss:0.407705 eval-mlogloss:0.504477
[109] train-mlogloss:0.406712 eval-mlogloss:0.504001
[110] train-mlogloss:0.405710 eval-mlogloss:0.503778
[111] train-mlogloss:0.404483 eval-mlogloss:0.503531
[112] train-mlogloss:0.403212 eval-mlogloss:0.502885
[113] train-mlogloss:0.402371 eval-mlogloss:0.502483
[114] train-mlogloss:0.401305 eval-mlogloss:0.502296
[115] train-mlogloss:0.400183 eval-mlogloss:0.501638
[116] train-mlogloss:0.399319 eval-mlogloss:0.501412
[117] train-mlogloss:0.398375 eval-mlogloss:0.501235
[118] train-mlogloss:0.397243 eval-mlogloss:0.500795
[119] train-mlogloss:0.396012 eval-mlogloss:0.500158
[120] train-mlogloss:0.395030 eval-mlogloss:0.499712
[121] train-mlogloss:0.394186 eval-mlogloss:0.499452
[122] train-mlogloss:0.392951 eval-mlogloss:0.499386
[123] train-mlogloss:0.391903 eval-mlogloss:0.499257
[124] train-mlogloss:0.390834 eval-mlogloss:0.498984
[125] train-mlogloss:0.389936 eval-mlogloss:0.498818
[126] train-mlogloss:0.388966 eval-mlogloss:0.498450
[127] train-mlogloss:0.388165 eval-mlogloss:0.498196
[128] train-mlogloss:0.387175 eval-mlogloss:0.497971
[129] train-mlogloss:0.386192 eval-mlogloss:0.497930
[130] train-mlogloss:0.385400 eval-mlogloss:0.497562
[131] train-mlogloss:0.384352 eval-mlogloss:0.497441
[132] train-mlogloss:0.383394 eval-mlogloss:0.497481
[133] train-mlogloss:0.382213 eval-mlogloss:0.496875
[134] train-mlogloss:0.381224 eval-mlogloss:0.496538
[135] train-mlogloss:0.380409 eval-mlogloss:0.496321
[136] train-mlogloss:0.379392 eval-mlogloss:0.495988
[137] train-mlogloss:0.378348 eval-mlogloss:0.495582
[138] train-mlogloss:0.377304 eval-mlogloss:0.495043
[139] train-mlogloss:0.376301 eval-mlogloss:0.494650
[140] train-mlogloss:0.375365 eval-mlogloss:0.494239
[141] train-mlogloss:0.374470 eval-mlogloss:0.494080
[142] train-mlogloss:0.373661 eval-mlogloss:0.493836
[143] train-mlogloss:0.372861 eval-mlogloss:0.493636
[144] train-mlogloss:0.371694 eval-mlogloss:0.493217
[145] train-mlogloss:0.370841 eval-mlogloss:0.492776
[146] train-mlogloss:0.369927 eval-mlogloss:0.492536
[147] train-mlogloss:0.369114 eval-mlogloss:0.492189
[148] train-mlogloss:0.368393 eval-mlogloss:0.492078
[149] train-mlogloss:0.367332 eval-mlogloss:0.491762
[150] train-mlogloss:0.366308 eval-mlogloss:0.491562
[151] train-mlogloss:0.365429 eval-mlogloss:0.490839
[152] train-mlogloss:0.364578 eval-mlogloss:0.490476
[153] train-mlogloss:0.363405 eval-mlogloss:0.490472
[154] train-mlogloss:0.362662 eval-mlogloss:0.490274
[155] train-mlogloss:0.361818 eval-mlogloss:0.489906
[156] train-mlogloss:0.360882 eval-mlogloss:0.489531
[157] train-mlogloss:0.360020 eval-mlogloss:0.489228
[158] train-mlogloss:0.359174 eval-mlogloss:0.489245
[159] train-mlogloss:0.358286 eval-mlogloss:0.488879
[160] train-mlogloss:0.357607 eval-mlogloss:0.488426
[161] train-mlogloss:0.356711 eval-mlogloss:0.488369
[162] train-mlogloss:0.355906 eval-mlogloss:0.488259
[163] train-mlogloss:0.355288 eval-mlogloss:0.487991
[164] train-mlogloss:0.354557 eval-mlogloss:0.488079
[165] train-mlogloss:0.353887 eval-mlogloss:0.487825
[166] train-mlogloss:0.352980 eval-mlogloss:0.487640
[167] train-mlogloss:0.351938 eval-mlogloss:0.487121
[168] train-mlogloss:0.351222 eval-mlogloss:0.486724
[169] train-mlogloss:0.350590 eval-mlogloss:0.486581
[170] train-mlogloss:0.349688 eval-mlogloss:0.486447
[171] train-mlogloss:0.348890 eval-mlogloss:0.486313
[172] train-mlogloss:0.348273 eval-mlogloss:0.485999
[173] train-mlogloss:0.347306 eval-mlogloss:0.485658
[174] train-mlogloss:0.346669 eval-mlogloss:0.485501
[175] train-mlogloss:0.345915 eval-mlogloss:0.485351
[176] train-mlogloss:0.345164 eval-mlogloss:0.485257
[177] train-mlogloss:0.344516 eval-mlogloss:0.485086
[178] train-mlogloss:0.343808 eval-mlogloss:0.485092
[179] train-mlogloss:0.342974 eval-mlogloss:0.484700
[180] train-mlogloss:0.342291 eval-mlogloss:0.484482
[181] train-mlogloss:0.341467 eval-mlogloss:0.484222
[182] train-mlogloss:0.340789 eval-mlogloss:0.484174
[183] train-mlogloss:0.340360 eval-mlogloss:0.484156
[184] train-mlogloss:0.339577 eval-mlogloss:0.483963
[185] train-mlogloss:0.338625 eval-mlogloss:0.483916
[186] train-mlogloss:0.337931 eval-mlogloss:0.483700
[187] train-mlogloss:0.337107 eval-mlogloss:0.483643
[188] train-mlogloss:0.336520 eval-mlogloss:0.483517
[189] train-mlogloss:0.335756 eval-mlogloss:0.483352
[190] train-mlogloss:0.335003 eval-mlogloss:0.483091
[191] train-mlogloss:0.334427 eval-mlogloss:0.483069
[192] train-mlogloss:0.333676 eval-mlogloss:0.482710
[193] train-mlogloss:0.333047 eval-mlogloss:0.482626
[194] train-mlogloss:0.332383 eval-mlogloss:0.482445
[195] train-mlogloss:0.331421 eval-mlogloss:0.482209
[196] train-mlogloss:0.330786 eval-mlogloss:0.482107
[197] train-mlogloss:0.330308 eval-mlogloss:0.481892
[198] train-mlogloss:0.329601 eval-mlogloss:0.481991
[199] train-mlogloss:0.329012 eval-mlogloss:0.481665
[200] train-mlogloss:0.328333 eval-mlogloss:0.481637
[201] train-mlogloss:0.327849 eval-mlogloss:0.481453
[202] train-mlogloss:0.327097 eval-mlogloss:0.481271
[203] train-mlogloss:0.326545 eval-mlogloss:0.481277
[204] train-mlogloss:0.325595 eval-mlogloss:0.481026
[205] train-mlogloss:0.324850 eval-mlogloss:0.481133
[206] train-mlogloss:0.324320 eval-mlogloss:0.481132
[207] train-mlogloss:0.323734 eval-mlogloss:0.481104
[208] train-mlogloss:0.323025 eval-mlogloss:0.480954
[209] train-mlogloss:0.322155 eval-mlogloss:0.480798
[210] train-mlogloss:0.321375 eval-mlogloss:0.480813
[211] train-mlogloss:0.320783 eval-mlogloss:0.480840
[212] train-mlogloss:0.320018 eval-mlogloss:0.480808
[213] train-mlogloss:0.319500 eval-mlogloss:0.480738
[214] train-mlogloss:0.318859 eval-mlogloss:0.480579
[215] train-mlogloss:0.318341 eval-mlogloss:0.480578
[216] train-mlogloss:0.317402 eval-mlogloss:0.480263
[217] train-mlogloss:0.316680 eval-mlogloss:0.480283
[218] train-mlogloss:0.316151 eval-mlogloss:0.480314
[219] train-mlogloss:0.315391 eval-mlogloss:0.480482
[220] train-mlogloss:0.314520 eval-mlogloss:0.480288
[221] train-mlogloss:0.314043 eval-mlogloss:0.479894
[222] train-mlogloss:0.313284 eval-mlogloss:0.479846
[223] train-mlogloss:0.312549 eval-mlogloss:0.479875
[224] train-mlogloss:0.311751 eval-mlogloss:0.479883
[225] train-mlogloss:0.311210 eval-mlogloss:0.479822
[226] train-mlogloss:0.310531 eval-mlogloss:0.479559
[227] train-mlogloss:0.309926 eval-mlogloss:0.479635
[228] train-mlogloss:0.309275 eval-mlogloss:0.479689
[229] train-mlogloss:0.308723 eval-mlogloss:0.479250
[230] train-mlogloss:0.308057 eval-mlogloss:0.479329
[231] train-mlogloss:0.307453 eval-mlogloss:0.479167
[232] train-mlogloss:0.306710 eval-mlogloss:0.479167
[233] train-mlogloss:0.306067 eval-mlogloss:0.479150
[234] train-mlogloss:0.305562 eval-mlogloss:0.479103
[235] train-mlogloss:0.304995 eval-mlogloss:0.478886
[236] train-mlogloss:0.304567 eval-mlogloss:0.478712
[237] train-mlogloss:0.303945 eval-mlogloss:0.478793
[238] train-mlogloss:0.303442 eval-mlogloss:0.478849
[239] train-mlogloss:0.302719 eval-mlogloss:0.478692
[240] train-mlogloss:0.302116 eval-mlogloss:0.478483
[241] train-mlogloss:0.301606 eval-mlogloss:0.478383
[242] train-mlogloss:0.300935 eval-mlogloss:0.478018
[243] train-mlogloss:0.300186 eval-mlogloss:0.478241
[244] train-mlogloss:0.299721 eval-mlogloss:0.478093
[245] train-mlogloss:0.299215 eval-mlogloss:0.478147
[246] train-mlogloss:0.298663 eval-mlogloss:0.478071
[247] train-mlogloss:0.298110 eval-mlogloss:0.477964
[248] train-mlogloss:0.297512 eval-mlogloss:0.477704
[249] train-mlogloss:0.296763 eval-mlogloss:0.477763
[250] train-mlogloss:0.296420 eval-mlogloss:0.477762
[251] train-mlogloss:0.295911 eval-mlogloss:0.477763
[252] train-mlogloss:0.295335 eval-mlogloss:0.477588
[253] train-mlogloss:0.294922 eval-mlogloss:0.477543
[254] train-mlogloss:0.294321 eval-mlogloss:0.477449
[255] train-mlogloss:0.293780 eval-mlogloss:0.477455
[256] train-mlogloss:0.293211 eval-mlogloss:0.477399
[257] train-mlogloss:0.292636 eval-mlogloss:0.477282
[258] train-mlogloss:0.292234 eval-mlogloss:0.477028
[259] train-mlogloss:0.291718 eval-mlogloss:0.476755
[260] train-mlogloss:0.291068 eval-mlogloss:0.476624
[261] train-mlogloss:0.290573 eval-mlogloss:0.476658
[262] train-mlogloss:0.290081 eval-mlogloss:0.476724
[263] train-mlogloss:0.289273 eval-mlogloss:0.476653
[264] train-mlogloss:0.288954 eval-mlogloss:0.476604
[265] train-mlogloss:0.288462 eval-mlogloss:0.476639
[266] train-mlogloss:0.288001 eval-mlogloss:0.476689
[267] train-mlogloss:0.287472 eval-mlogloss:0.476934
[268] train-mlogloss:0.286941 eval-mlogloss:0.476894
[269] train-mlogloss:0.286330 eval-mlogloss:0.476921
[270] train-mlogloss:0.285875 eval-mlogloss:0.476723
[271] train-mlogloss:0.285268 eval-mlogloss:0.476612
[272] train-mlogloss:0.284771 eval-mlogloss:0.476553
[273] train-mlogloss:0.284276 eval-mlogloss:0.476560
[274] train-mlogloss:0.283717 eval-mlogloss:0.476516
[275] train-mlogloss:0.283135 eval-mlogloss:0.476480
[276] train-mlogloss:0.282805 eval-mlogloss:0.476409
[277] train-mlogloss:0.282266 eval-mlogloss:0.476399
[278] train-mlogloss:0.281698 eval-mlogloss:0.476394
[279] train-mlogloss:0.281247 eval-mlogloss:0.476450
[280] train-mlogloss:0.280807 eval-mlogloss:0.476150
[281] train-mlogloss:0.280174 eval-mlogloss:0.476376
[282] train-mlogloss:0.279755 eval-mlogloss:0.476046
[283] train-mlogloss:0.279241 eval-mlogloss:0.476026
[284] train-mlogloss:0.278665 eval-mlogloss:0.475931
[285] train-mlogloss:0.278241 eval-mlogloss:0.476067
[286] train-mlogloss:0.277720 eval-mlogloss:0.476075
[287] train-mlogloss:0.277063 eval-mlogloss:0.476243
[288] train-mlogloss:0.276349 eval-mlogloss:0.476249
[289] train-mlogloss:0.275817 eval-mlogloss:0.476637
[290] train-mlogloss:0.275183 eval-mlogloss:0.476666
[291] train-mlogloss:0.274816 eval-mlogloss:0.476590
[292] train-mlogloss:0.274229 eval-mlogloss:0.476511
[293] train-mlogloss:0.273771 eval-mlogloss:0.476528
Training with params :
{'eta': 0.325, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 358.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.4765041156299016
[294] train-mlogloss:0.273357 eval-mlogloss:0.476504
Stopping. Best iteration:
[284] train-mlogloss:0.278665 eval-mlogloss:0.475931
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.720501 eval-mlogloss:1.723630
[1] train-mlogloss:1.479039 eval-mlogloss:1.483976
[2] train-mlogloss:1.297753 eval-mlogloss:1.304641
[3] train-mlogloss:1.172566 eval-mlogloss:1.180079
[4] train-mlogloss:1.078953 eval-mlogloss:1.087376
[5] train-mlogloss:1.005115 eval-mlogloss:1.014490
[6] train-mlogloss:0.945924 eval-mlogloss:0.956255
[7] train-mlogloss:0.897017 eval-mlogloss:0.907927
[8] train-mlogloss:0.856336 eval-mlogloss:0.867397
[9] train-mlogloss:0.825462 eval-mlogloss:0.837577
[10] train-mlogloss:0.795953 eval-mlogloss:0.809154
[11] train-mlogloss:0.771123 eval-mlogloss:0.785134
[12] train-mlogloss:0.749385 eval-mlogloss:0.764475
[13] train-mlogloss:0.730317 eval-mlogloss:0.746642
[14] train-mlogloss:0.713773 eval-mlogloss:0.730825
[15] train-mlogloss:0.699378 eval-mlogloss:0.717766
[16] train-mlogloss:0.685018 eval-mlogloss:0.704011
[17] train-mlogloss:0.673210 eval-mlogloss:0.693027
[18] train-mlogloss:0.662196 eval-mlogloss:0.682765
[19] train-mlogloss:0.652818 eval-mlogloss:0.674088
[20] train-mlogloss:0.643378 eval-mlogloss:0.665472
[21] train-mlogloss:0.635041 eval-mlogloss:0.658358
[22] train-mlogloss:0.627228 eval-mlogloss:0.651375
[23] train-mlogloss:0.620540 eval-mlogloss:0.645786
[24] train-mlogloss:0.614294 eval-mlogloss:0.640543
[25] train-mlogloss:0.607857 eval-mlogloss:0.635351
[26] train-mlogloss:0.601827 eval-mlogloss:0.630228
[27] train-mlogloss:0.595422 eval-mlogloss:0.624475
[28] train-mlogloss:0.590556 eval-mlogloss:0.620707
[29] train-mlogloss:0.584852 eval-mlogloss:0.616201
[30] train-mlogloss:0.580624 eval-mlogloss:0.612627
[31] train-mlogloss:0.575802 eval-mlogloss:0.608529
[32] train-mlogloss:0.572250 eval-mlogloss:0.605636
[33] train-mlogloss:0.568084 eval-mlogloss:0.602235
[34] train-mlogloss:0.564129 eval-mlogloss:0.599195
[35] train-mlogloss:0.560791 eval-mlogloss:0.596238
[36] train-mlogloss:0.556667 eval-mlogloss:0.592801
[37] train-mlogloss:0.553061 eval-mlogloss:0.590107
[38] train-mlogloss:0.549341 eval-mlogloss:0.587458
[39] train-mlogloss:0.545705 eval-mlogloss:0.584675
[40] train-mlogloss:0.542681 eval-mlogloss:0.582355
[41] train-mlogloss:0.539482 eval-mlogloss:0.580261
[42] train-mlogloss:0.537058 eval-mlogloss:0.578303
[43] train-mlogloss:0.534475 eval-mlogloss:0.576080
[44] train-mlogloss:0.531414 eval-mlogloss:0.573659
[45] train-mlogloss:0.528685 eval-mlogloss:0.572086
[46] train-mlogloss:0.526072 eval-mlogloss:0.570537
[47] train-mlogloss:0.523400 eval-mlogloss:0.568884
[48] train-mlogloss:0.520600 eval-mlogloss:0.566777
[49] train-mlogloss:0.518116 eval-mlogloss:0.565223
[50] train-mlogloss:0.515634 eval-mlogloss:0.563561
[51] train-mlogloss:0.513312 eval-mlogloss:0.561717
[52] train-mlogloss:0.510720 eval-mlogloss:0.560229
[53] train-mlogloss:0.508046 eval-mlogloss:0.559028
[54] train-mlogloss:0.505922 eval-mlogloss:0.557498
[55] train-mlogloss:0.503649 eval-mlogloss:0.555924
[56] train-mlogloss:0.501372 eval-mlogloss:0.554046
[57] train-mlogloss:0.499458 eval-mlogloss:0.552741
[58] train-mlogloss:0.497336 eval-mlogloss:0.551380
[59] train-mlogloss:0.495199 eval-mlogloss:0.549840
[60] train-mlogloss:0.493132 eval-mlogloss:0.548785
[61] train-mlogloss:0.491037 eval-mlogloss:0.547587
[62] train-mlogloss:0.489191 eval-mlogloss:0.546306
[63] train-mlogloss:0.487352 eval-mlogloss:0.545212
[64] train-mlogloss:0.485232 eval-mlogloss:0.543861
[65] train-mlogloss:0.483575 eval-mlogloss:0.542643
[66] train-mlogloss:0.481890 eval-mlogloss:0.541967
[67] train-mlogloss:0.480205 eval-mlogloss:0.540973
[68] train-mlogloss:0.478707 eval-mlogloss:0.539742
[69] train-mlogloss:0.477185 eval-mlogloss:0.538664
[70] train-mlogloss:0.475651 eval-mlogloss:0.537925
[71] train-mlogloss:0.474083 eval-mlogloss:0.537130
[72] train-mlogloss:0.472489 eval-mlogloss:0.536049
[73] train-mlogloss:0.470386 eval-mlogloss:0.534943
[74] train-mlogloss:0.468997 eval-mlogloss:0.534159
[75] train-mlogloss:0.467465 eval-mlogloss:0.533216
[76] train-mlogloss:0.466054 eval-mlogloss:0.532346
[77] train-mlogloss:0.464369 eval-mlogloss:0.531501
[78] train-mlogloss:0.462908 eval-mlogloss:0.530764
[79] train-mlogloss:0.461469 eval-mlogloss:0.529992
[80] train-mlogloss:0.460261 eval-mlogloss:0.529534
[81] train-mlogloss:0.458990 eval-mlogloss:0.528934
[82] train-mlogloss:0.457749 eval-mlogloss:0.528458
[83] train-mlogloss:0.456533 eval-mlogloss:0.527842
[84] train-mlogloss:0.454854 eval-mlogloss:0.527012
[85] train-mlogloss:0.453185 eval-mlogloss:0.526231
[86] train-mlogloss:0.451889 eval-mlogloss:0.525497
[87] train-mlogloss:0.450762 eval-mlogloss:0.524858
[88] train-mlogloss:0.449515 eval-mlogloss:0.524335
[89] train-mlogloss:0.448330 eval-mlogloss:0.524052
[90] train-mlogloss:0.447265 eval-mlogloss:0.523536
[91] train-mlogloss:0.445796 eval-mlogloss:0.522711
[92] train-mlogloss:0.444690 eval-mlogloss:0.522062
[93] train-mlogloss:0.443377 eval-mlogloss:0.521218
[94] train-mlogloss:0.442480 eval-mlogloss:0.520619
[95] train-mlogloss:0.441155 eval-mlogloss:0.520098
[96] train-mlogloss:0.439766 eval-mlogloss:0.519356
[97] train-mlogloss:0.438372 eval-mlogloss:0.518462
[98] train-mlogloss:0.437137 eval-mlogloss:0.518013
[99] train-mlogloss:0.435898 eval-mlogloss:0.517380
[100] train-mlogloss:0.434795 eval-mlogloss:0.516876
[101] train-mlogloss:0.433427 eval-mlogloss:0.516428
[102] train-mlogloss:0.432021 eval-mlogloss:0.515904
[103] train-mlogloss:0.430820 eval-mlogloss:0.515072
[104] train-mlogloss:0.429821 eval-mlogloss:0.514357
[105] train-mlogloss:0.428460 eval-mlogloss:0.513880
[106] train-mlogloss:0.427481 eval-mlogloss:0.513532
[107] train-mlogloss:0.426448 eval-mlogloss:0.513157
[108] train-mlogloss:0.425286 eval-mlogloss:0.512506
[109] train-mlogloss:0.424289 eval-mlogloss:0.512237
[110] train-mlogloss:0.423319 eval-mlogloss:0.511807
[111] train-mlogloss:0.422345 eval-mlogloss:0.511503
[112] train-mlogloss:0.421454 eval-mlogloss:0.511265
[113] train-mlogloss:0.420479 eval-mlogloss:0.511132
[114] train-mlogloss:0.419673 eval-mlogloss:0.510892
[115] train-mlogloss:0.418682 eval-mlogloss:0.510497
[116] train-mlogloss:0.417787 eval-mlogloss:0.510193
[117] train-mlogloss:0.416730 eval-mlogloss:0.509735
[118] train-mlogloss:0.415834 eval-mlogloss:0.509512
[119] train-mlogloss:0.414630 eval-mlogloss:0.509178
[120] train-mlogloss:0.413339 eval-mlogloss:0.508850
[121] train-mlogloss:0.412185 eval-mlogloss:0.508293
[122] train-mlogloss:0.411452 eval-mlogloss:0.507909
[123] train-mlogloss:0.410625 eval-mlogloss:0.507697
[124] train-mlogloss:0.409200 eval-mlogloss:0.507020
[125] train-mlogloss:0.408280 eval-mlogloss:0.506790
[126] train-mlogloss:0.407285 eval-mlogloss:0.506343
[127] train-mlogloss:0.406435 eval-mlogloss:0.505979
[128] train-mlogloss:0.405330 eval-mlogloss:0.505852
[129] train-mlogloss:0.404013 eval-mlogloss:0.505431
[130] train-mlogloss:0.403381 eval-mlogloss:0.505253
[131] train-mlogloss:0.402234 eval-mlogloss:0.504828
[132] train-mlogloss:0.401228 eval-mlogloss:0.504692
[133] train-mlogloss:0.400053 eval-mlogloss:0.504154
[134] train-mlogloss:0.399047 eval-mlogloss:0.503671
[135] train-mlogloss:0.398058 eval-mlogloss:0.503107
[136] train-mlogloss:0.397180 eval-mlogloss:0.502779
[137] train-mlogloss:0.396360 eval-mlogloss:0.502511
[138] train-mlogloss:0.395698 eval-mlogloss:0.502356
[139] train-mlogloss:0.395048 eval-mlogloss:0.502034
[140] train-mlogloss:0.394099 eval-mlogloss:0.501832
[141] train-mlogloss:0.393294 eval-mlogloss:0.501519
[142] train-mlogloss:0.392490 eval-mlogloss:0.500984
[143] train-mlogloss:0.391377 eval-mlogloss:0.500786
[144] train-mlogloss:0.390606 eval-mlogloss:0.500504
[145] train-mlogloss:0.389778 eval-mlogloss:0.500008
[146] train-mlogloss:0.388927 eval-mlogloss:0.499836
[147] train-mlogloss:0.387980 eval-mlogloss:0.499466
[148] train-mlogloss:0.387088 eval-mlogloss:0.498965
[149] train-mlogloss:0.386284 eval-mlogloss:0.498687
[150] train-mlogloss:0.385263 eval-mlogloss:0.498382
[151] train-mlogloss:0.384205 eval-mlogloss:0.498175
[152] train-mlogloss:0.383174 eval-mlogloss:0.498082
[153] train-mlogloss:0.382479 eval-mlogloss:0.497783
[154] train-mlogloss:0.382008 eval-mlogloss:0.497701
[155] train-mlogloss:0.381021 eval-mlogloss:0.497269
[156] train-mlogloss:0.380222 eval-mlogloss:0.497034
[157] train-mlogloss:0.379409 eval-mlogloss:0.496838
[158] train-mlogloss:0.378781 eval-mlogloss:0.496671
[159] train-mlogloss:0.377747 eval-mlogloss:0.496366
[160] train-mlogloss:0.376800 eval-mlogloss:0.496182
[161] train-mlogloss:0.376133 eval-mlogloss:0.495914
[162] train-mlogloss:0.375587 eval-mlogloss:0.495823
[163] train-mlogloss:0.375052 eval-mlogloss:0.495763
[164] train-mlogloss:0.374546 eval-mlogloss:0.495597
[165] train-mlogloss:0.373752 eval-mlogloss:0.495396
[166] train-mlogloss:0.373055 eval-mlogloss:0.495408
[167] train-mlogloss:0.372328 eval-mlogloss:0.495152
[168] train-mlogloss:0.371437 eval-mlogloss:0.494870
[169] train-mlogloss:0.370634 eval-mlogloss:0.494819
[170] train-mlogloss:0.369792 eval-mlogloss:0.494712
[171] train-mlogloss:0.368967 eval-mlogloss:0.494506
[172] train-mlogloss:0.368093 eval-mlogloss:0.494107
[173] train-mlogloss:0.367703 eval-mlogloss:0.493983
[174] train-mlogloss:0.366878 eval-mlogloss:0.493704
[175] train-mlogloss:0.365840 eval-mlogloss:0.493270
[176] train-mlogloss:0.365164 eval-mlogloss:0.493091
[177] train-mlogloss:0.364270 eval-mlogloss:0.493161
[178] train-mlogloss:0.363466 eval-mlogloss:0.492917
[179] train-mlogloss:0.363001 eval-mlogloss:0.493034
[180] train-mlogloss:0.362117 eval-mlogloss:0.492888
[181] train-mlogloss:0.361260 eval-mlogloss:0.492641
[182] train-mlogloss:0.360575 eval-mlogloss:0.492180
[183] train-mlogloss:0.360057 eval-mlogloss:0.491914
[184] train-mlogloss:0.359149 eval-mlogloss:0.491639
[185] train-mlogloss:0.358220 eval-mlogloss:0.491476
[186] train-mlogloss:0.357557 eval-mlogloss:0.491340
[187] train-mlogloss:0.356780 eval-mlogloss:0.491077
[188] train-mlogloss:0.356141 eval-mlogloss:0.490934
[189] train-mlogloss:0.355207 eval-mlogloss:0.490655
[190] train-mlogloss:0.354683 eval-mlogloss:0.490466
[191] train-mlogloss:0.354109 eval-mlogloss:0.490203
[192] train-mlogloss:0.353341 eval-mlogloss:0.490158
[193] train-mlogloss:0.352691 eval-mlogloss:0.490018
[194] train-mlogloss:0.351695 eval-mlogloss:0.489854
[195] train-mlogloss:0.351319 eval-mlogloss:0.489673
[196] train-mlogloss:0.350481 eval-mlogloss:0.489992
[197] train-mlogloss:0.349742 eval-mlogloss:0.489969
[198] train-mlogloss:0.349142 eval-mlogloss:0.489802
[199] train-mlogloss:0.348525 eval-mlogloss:0.489796
[200] train-mlogloss:0.347866 eval-mlogloss:0.489800
[201] train-mlogloss:0.347090 eval-mlogloss:0.489737
[202] train-mlogloss:0.346459 eval-mlogloss:0.489565
[203] train-mlogloss:0.345776 eval-mlogloss:0.489669
[204] train-mlogloss:0.345200 eval-mlogloss:0.489499
[205] train-mlogloss:0.344509 eval-mlogloss:0.489565
[206] train-mlogloss:0.344034 eval-mlogloss:0.489525
[207] train-mlogloss:0.343571 eval-mlogloss:0.489524
[208] train-mlogloss:0.342946 eval-mlogloss:0.489244
[209] train-mlogloss:0.342247 eval-mlogloss:0.489221
[210] train-mlogloss:0.341321 eval-mlogloss:0.488874
[211] train-mlogloss:0.340574 eval-mlogloss:0.488713
[212] train-mlogloss:0.339992 eval-mlogloss:0.488437
[213] train-mlogloss:0.339443 eval-mlogloss:0.488282
[214] train-mlogloss:0.338794 eval-mlogloss:0.488021
[215] train-mlogloss:0.338119 eval-mlogloss:0.487946
[216] train-mlogloss:0.337583 eval-mlogloss:0.487830
[217] train-mlogloss:0.337042 eval-mlogloss:0.487688
[218] train-mlogloss:0.336304 eval-mlogloss:0.487630
[219] train-mlogloss:0.335630 eval-mlogloss:0.487397
[220] train-mlogloss:0.334967 eval-mlogloss:0.487239
[221] train-mlogloss:0.334281 eval-mlogloss:0.487375
[222] train-mlogloss:0.333679 eval-mlogloss:0.487233
[223] train-mlogloss:0.333079 eval-mlogloss:0.487093
[224] train-mlogloss:0.332446 eval-mlogloss:0.486906
[225] train-mlogloss:0.331784 eval-mlogloss:0.486652
[226] train-mlogloss:0.331193 eval-mlogloss:0.486673
[227] train-mlogloss:0.330741 eval-mlogloss:0.486380
[228] train-mlogloss:0.330107 eval-mlogloss:0.486259
[229] train-mlogloss:0.329281 eval-mlogloss:0.486069
[230] train-mlogloss:0.328645 eval-mlogloss:0.485906
[231] train-mlogloss:0.328219 eval-mlogloss:0.485705
[232] train-mlogloss:0.327665 eval-mlogloss:0.485483
[233] train-mlogloss:0.327159 eval-mlogloss:0.485322
[234] train-mlogloss:0.326316 eval-mlogloss:0.485308
[235] train-mlogloss:0.325637 eval-mlogloss:0.485106
[236] train-mlogloss:0.325215 eval-mlogloss:0.485155
[237] train-mlogloss:0.324696 eval-mlogloss:0.485083
[238] train-mlogloss:0.324158 eval-mlogloss:0.484861
[239] train-mlogloss:0.323585 eval-mlogloss:0.484714
[240] train-mlogloss:0.322965 eval-mlogloss:0.484491
[241] train-mlogloss:0.322375 eval-mlogloss:0.484275
[242] train-mlogloss:0.321870 eval-mlogloss:0.484051
[243] train-mlogloss:0.321290 eval-mlogloss:0.483864
[244] train-mlogloss:0.320760 eval-mlogloss:0.483803
[245] train-mlogloss:0.320013 eval-mlogloss:0.483858
[246] train-mlogloss:0.319549 eval-mlogloss:0.483788
[247] train-mlogloss:0.319102 eval-mlogloss:0.483738
[248] train-mlogloss:0.318405 eval-mlogloss:0.483729
[249] train-mlogloss:0.317826 eval-mlogloss:0.483716
[250] train-mlogloss:0.317336 eval-mlogloss:0.483581
[251] train-mlogloss:0.316857 eval-mlogloss:0.483449
[252] train-mlogloss:0.316278 eval-mlogloss:0.483372
[253] train-mlogloss:0.315806 eval-mlogloss:0.483254
Training with params :
{'eta': 0.275, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 254.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 1.0}
Score 0.48325440503172135
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.067720 eval-mlogloss:2.071731
[1] train-mlogloss:1.961849 eval-mlogloss:1.969214
[2] train-mlogloss:1.868053 eval-mlogloss:1.879046
[3] train-mlogloss:1.785058 eval-mlogloss:1.798833
[4] train-mlogloss:1.709896 eval-mlogloss:1.726651
[5] train-mlogloss:1.640589 eval-mlogloss:1.659917
[6] train-mlogloss:1.577985 eval-mlogloss:1.600531
[7] train-mlogloss:1.520024 eval-mlogloss:1.544938
[8] train-mlogloss:1.467406 eval-mlogloss:1.494727
[9] train-mlogloss:1.418417 eval-mlogloss:1.447913
[10] train-mlogloss:1.372609 eval-mlogloss:1.404270
[11] train-mlogloss:1.329420 eval-mlogloss:1.363742
[12] train-mlogloss:1.289492 eval-mlogloss:1.326626
[13] train-mlogloss:1.250966 eval-mlogloss:1.290260
[14] train-mlogloss:1.214633 eval-mlogloss:1.256282
[15] train-mlogloss:1.180816 eval-mlogloss:1.224653
[16] train-mlogloss:1.148333 eval-mlogloss:1.194179
[17] train-mlogloss:1.118315 eval-mlogloss:1.166072
[18] train-mlogloss:1.089883 eval-mlogloss:1.139242
[19] train-mlogloss:1.062604 eval-mlogloss:1.113450
[20] train-mlogloss:1.036615 eval-mlogloss:1.089370
[21] train-mlogloss:1.011775 eval-mlogloss:1.066643
[22] train-mlogloss:0.987680 eval-mlogloss:1.044527
[23] train-mlogloss:0.965506 eval-mlogloss:1.024190
[24] train-mlogloss:0.944054 eval-mlogloss:1.004436
[25] train-mlogloss:0.923220 eval-mlogloss:0.985380
[26] train-mlogloss:0.903250 eval-mlogloss:0.967243
[27] train-mlogloss:0.884206 eval-mlogloss:0.950053
[28] train-mlogloss:0.866357 eval-mlogloss:0.933776
[29] train-mlogloss:0.849071 eval-mlogloss:0.918227
[30] train-mlogloss:0.832962 eval-mlogloss:0.903392
[31] train-mlogloss:0.816859 eval-mlogloss:0.889002
[32] train-mlogloss:0.801421 eval-mlogloss:0.875286
[33] train-mlogloss:0.786556 eval-mlogloss:0.861969
[34] train-mlogloss:0.772509 eval-mlogloss:0.849580
[35] train-mlogloss:0.758876 eval-mlogloss:0.837644
[36] train-mlogloss:0.745797 eval-mlogloss:0.826113
[37] train-mlogloss:0.733402 eval-mlogloss:0.815207
[38] train-mlogloss:0.721266 eval-mlogloss:0.804546
[39] train-mlogloss:0.710002 eval-mlogloss:0.794352
[40] train-mlogloss:0.698973 eval-mlogloss:0.784623
[41] train-mlogloss:0.687968 eval-mlogloss:0.775152
[42] train-mlogloss:0.677492 eval-mlogloss:0.766029
[43] train-mlogloss:0.667294 eval-mlogloss:0.757400
[44] train-mlogloss:0.657394 eval-mlogloss:0.749043
[45] train-mlogloss:0.648391 eval-mlogloss:0.741289
[46] train-mlogloss:0.639754 eval-mlogloss:0.734011
[47] train-mlogloss:0.630819 eval-mlogloss:0.726485
[48] train-mlogloss:0.622567 eval-mlogloss:0.719418
[49] train-mlogloss:0.614450 eval-mlogloss:0.712554
[50] train-mlogloss:0.606269 eval-mlogloss:0.705879
[51] train-mlogloss:0.598581 eval-mlogloss:0.699318
[52] train-mlogloss:0.591122 eval-mlogloss:0.693132
[53] train-mlogloss:0.584256 eval-mlogloss:0.687320
[54] train-mlogloss:0.577228 eval-mlogloss:0.681564
[55] train-mlogloss:0.570264 eval-mlogloss:0.675903
[56] train-mlogloss:0.563609 eval-mlogloss:0.670544
[57] train-mlogloss:0.557611 eval-mlogloss:0.665350
[58] train-mlogloss:0.551735 eval-mlogloss:0.660420
[59] train-mlogloss:0.546022 eval-mlogloss:0.655722
[60] train-mlogloss:0.540216 eval-mlogloss:0.650912
[61] train-mlogloss:0.534371 eval-mlogloss:0.646157
[62] train-mlogloss:0.528730 eval-mlogloss:0.641725
[63] train-mlogloss:0.523605 eval-mlogloss:0.637498
[64] train-mlogloss:0.518474 eval-mlogloss:0.633277
[65] train-mlogloss:0.513700 eval-mlogloss:0.629381
[66] train-mlogloss:0.509067 eval-mlogloss:0.625709
[67] train-mlogloss:0.504564 eval-mlogloss:0.622062
[68] train-mlogloss:0.499821 eval-mlogloss:0.618508
[69] train-mlogloss:0.495663 eval-mlogloss:0.615336
[70] train-mlogloss:0.491163 eval-mlogloss:0.612029
[71] train-mlogloss:0.487274 eval-mlogloss:0.608859
[72] train-mlogloss:0.483450 eval-mlogloss:0.605784
[73] train-mlogloss:0.479438 eval-mlogloss:0.602784
[74] train-mlogloss:0.475304 eval-mlogloss:0.599744
[75] train-mlogloss:0.471571 eval-mlogloss:0.596886
[76] train-mlogloss:0.467876 eval-mlogloss:0.594083
[77] train-mlogloss:0.464086 eval-mlogloss:0.591229
[78] train-mlogloss:0.460456 eval-mlogloss:0.588543
[79] train-mlogloss:0.456947 eval-mlogloss:0.585848
[80] train-mlogloss:0.453240 eval-mlogloss:0.583321
[81] train-mlogloss:0.449872 eval-mlogloss:0.580974
[82] train-mlogloss:0.446619 eval-mlogloss:0.578671
[83] train-mlogloss:0.443354 eval-mlogloss:0.576503
[84] train-mlogloss:0.439997 eval-mlogloss:0.574096
[85] train-mlogloss:0.436913 eval-mlogloss:0.571932
[86] train-mlogloss:0.433627 eval-mlogloss:0.569629
[87] train-mlogloss:0.430717 eval-mlogloss:0.567654
[88] train-mlogloss:0.427806 eval-mlogloss:0.565570
[89] train-mlogloss:0.424953 eval-mlogloss:0.563451
[90] train-mlogloss:0.422489 eval-mlogloss:0.561574
[91] train-mlogloss:0.419927 eval-mlogloss:0.559784
[92] train-mlogloss:0.417283 eval-mlogloss:0.557954
[93] train-mlogloss:0.414851 eval-mlogloss:0.556268
[94] train-mlogloss:0.412441 eval-mlogloss:0.554547
[95] train-mlogloss:0.410142 eval-mlogloss:0.552795
[96] train-mlogloss:0.407883 eval-mlogloss:0.551171
[97] train-mlogloss:0.405330 eval-mlogloss:0.549555
[98] train-mlogloss:0.403040 eval-mlogloss:0.547965
[99] train-mlogloss:0.400723 eval-mlogloss:0.546421
[100] train-mlogloss:0.398600 eval-mlogloss:0.544943
[101] train-mlogloss:0.396441 eval-mlogloss:0.543432
[102] train-mlogloss:0.394331 eval-mlogloss:0.541972
[103] train-mlogloss:0.392328 eval-mlogloss:0.540577
[104] train-mlogloss:0.390101 eval-mlogloss:0.539166
[105] train-mlogloss:0.388199 eval-mlogloss:0.537875
[106] train-mlogloss:0.386439 eval-mlogloss:0.536688
[107] train-mlogloss:0.384220 eval-mlogloss:0.535350
[108] train-mlogloss:0.382273 eval-mlogloss:0.534000
[109] train-mlogloss:0.380200 eval-mlogloss:0.532589
[110] train-mlogloss:0.378406 eval-mlogloss:0.531438
[111] train-mlogloss:0.376575 eval-mlogloss:0.530360
[112] train-mlogloss:0.374988 eval-mlogloss:0.529318
[113] train-mlogloss:0.373380 eval-mlogloss:0.528261
[114] train-mlogloss:0.371659 eval-mlogloss:0.527131
[115] train-mlogloss:0.369870 eval-mlogloss:0.525955
[116] train-mlogloss:0.368182 eval-mlogloss:0.524908
[117] train-mlogloss:0.366383 eval-mlogloss:0.523855
[118] train-mlogloss:0.364776 eval-mlogloss:0.522941
[119] train-mlogloss:0.363318 eval-mlogloss:0.522018
[120] train-mlogloss:0.361888 eval-mlogloss:0.521141
[121] train-mlogloss:0.360546 eval-mlogloss:0.520292
[122] train-mlogloss:0.359119 eval-mlogloss:0.519355
[123] train-mlogloss:0.357584 eval-mlogloss:0.518449
[124] train-mlogloss:0.356059 eval-mlogloss:0.517631
[125] train-mlogloss:0.354582 eval-mlogloss:0.516813
[126] train-mlogloss:0.352825 eval-mlogloss:0.515794
[127] train-mlogloss:0.351584 eval-mlogloss:0.514954
[128] train-mlogloss:0.350272 eval-mlogloss:0.514268
[129] train-mlogloss:0.348817 eval-mlogloss:0.513430
[130] train-mlogloss:0.347370 eval-mlogloss:0.512670
[131] train-mlogloss:0.346088 eval-mlogloss:0.511854
[132] train-mlogloss:0.344972 eval-mlogloss:0.511150
[133] train-mlogloss:0.343728 eval-mlogloss:0.510447
[134] train-mlogloss:0.342613 eval-mlogloss:0.509731
[135] train-mlogloss:0.341371 eval-mlogloss:0.509053
[136] train-mlogloss:0.339991 eval-mlogloss:0.508296
[137] train-mlogloss:0.338612 eval-mlogloss:0.507400
[138] train-mlogloss:0.337407 eval-mlogloss:0.506718
[139] train-mlogloss:0.336414 eval-mlogloss:0.506094
[140] train-mlogloss:0.335171 eval-mlogloss:0.505361
[141] train-mlogloss:0.333955 eval-mlogloss:0.504643
[142] train-mlogloss:0.332950 eval-mlogloss:0.503992
[143] train-mlogloss:0.331727 eval-mlogloss:0.503339
[144] train-mlogloss:0.330559 eval-mlogloss:0.502770
[145] train-mlogloss:0.329413 eval-mlogloss:0.502103
[146] train-mlogloss:0.328196 eval-mlogloss:0.501490
[147] train-mlogloss:0.327055 eval-mlogloss:0.500893
[148] train-mlogloss:0.325908 eval-mlogloss:0.500414
[149] train-mlogloss:0.325012 eval-mlogloss:0.499961
[150] train-mlogloss:0.324169 eval-mlogloss:0.499417
[151] train-mlogloss:0.323038 eval-mlogloss:0.498788
[152] train-mlogloss:0.322053 eval-mlogloss:0.498215
[153] train-mlogloss:0.320953 eval-mlogloss:0.497728
[154] train-mlogloss:0.319754 eval-mlogloss:0.497291
[155] train-mlogloss:0.318777 eval-mlogloss:0.496832
[156] train-mlogloss:0.317662 eval-mlogloss:0.496241
[157] train-mlogloss:0.316564 eval-mlogloss:0.495741
[158] train-mlogloss:0.315490 eval-mlogloss:0.495238
[159] train-mlogloss:0.314486 eval-mlogloss:0.494778
[160] train-mlogloss:0.313581 eval-mlogloss:0.494278
[161] train-mlogloss:0.312517 eval-mlogloss:0.493785
[162] train-mlogloss:0.311308 eval-mlogloss:0.493247
[163] train-mlogloss:0.310466 eval-mlogloss:0.492879
[164] train-mlogloss:0.309678 eval-mlogloss:0.492497
[165] train-mlogloss:0.308664 eval-mlogloss:0.492069
[166] train-mlogloss:0.307686 eval-mlogloss:0.491572
[167] train-mlogloss:0.306832 eval-mlogloss:0.491142
[168] train-mlogloss:0.305828 eval-mlogloss:0.490657
[169] train-mlogloss:0.305076 eval-mlogloss:0.490261
[170] train-mlogloss:0.304174 eval-mlogloss:0.489811
[171] train-mlogloss:0.303396 eval-mlogloss:0.489380
[172] train-mlogloss:0.302488 eval-mlogloss:0.488858
[173] train-mlogloss:0.301482 eval-mlogloss:0.488356
[174] train-mlogloss:0.300743 eval-mlogloss:0.487999
[175] train-mlogloss:0.299813 eval-mlogloss:0.487621
[176] train-mlogloss:0.298938 eval-mlogloss:0.487255
[177] train-mlogloss:0.298199 eval-mlogloss:0.486853
[178] train-mlogloss:0.297372 eval-mlogloss:0.486456
[179] train-mlogloss:0.296510 eval-mlogloss:0.486083
[180] train-mlogloss:0.295576 eval-mlogloss:0.485751
[181] train-mlogloss:0.294637 eval-mlogloss:0.485403
[182] train-mlogloss:0.293976 eval-mlogloss:0.485112
[183] train-mlogloss:0.293175 eval-mlogloss:0.484787
[184] train-mlogloss:0.292559 eval-mlogloss:0.484442
[185] train-mlogloss:0.291845 eval-mlogloss:0.484132
[186] train-mlogloss:0.291054 eval-mlogloss:0.483789
[187] train-mlogloss:0.290276 eval-mlogloss:0.483491
[188] train-mlogloss:0.289492 eval-mlogloss:0.483118
[189] train-mlogloss:0.288755 eval-mlogloss:0.482788
[190] train-mlogloss:0.287963 eval-mlogloss:0.482500
[191] train-mlogloss:0.287089 eval-mlogloss:0.482232
[192] train-mlogloss:0.286332 eval-mlogloss:0.481926
[193] train-mlogloss:0.285637 eval-mlogloss:0.481590
[194] train-mlogloss:0.284896 eval-mlogloss:0.481218
[195] train-mlogloss:0.284176 eval-mlogloss:0.480945
[196] train-mlogloss:0.283408 eval-mlogloss:0.480646
[197] train-mlogloss:0.282721 eval-mlogloss:0.480410
[198] train-mlogloss:0.281867 eval-mlogloss:0.480054
[199] train-mlogloss:0.281273 eval-mlogloss:0.479821
[200] train-mlogloss:0.280468 eval-mlogloss:0.479531
[201] train-mlogloss:0.279684 eval-mlogloss:0.479136
[202] train-mlogloss:0.278988 eval-mlogloss:0.478816
[203] train-mlogloss:0.278493 eval-mlogloss:0.478583
[204] train-mlogloss:0.277817 eval-mlogloss:0.478283
[205] train-mlogloss:0.277211 eval-mlogloss:0.477996
[206] train-mlogloss:0.276538 eval-mlogloss:0.477740
[207] train-mlogloss:0.275866 eval-mlogloss:0.477481
[208] train-mlogloss:0.275225 eval-mlogloss:0.477269
[209] train-mlogloss:0.274626 eval-mlogloss:0.477005
[210] train-mlogloss:0.274092 eval-mlogloss:0.476800
[211] train-mlogloss:0.273243 eval-mlogloss:0.476430
[212] train-mlogloss:0.272693 eval-mlogloss:0.476181
[213] train-mlogloss:0.272095 eval-mlogloss:0.475975
[214] train-mlogloss:0.271358 eval-mlogloss:0.475644
[215] train-mlogloss:0.270664 eval-mlogloss:0.475416
[216] train-mlogloss:0.270039 eval-mlogloss:0.475123
[217] train-mlogloss:0.269309 eval-mlogloss:0.474888
[218] train-mlogloss:0.268801 eval-mlogloss:0.474690
[219] train-mlogloss:0.268126 eval-mlogloss:0.474444
[220] train-mlogloss:0.267606 eval-mlogloss:0.474222
[221] train-mlogloss:0.266724 eval-mlogloss:0.473967
[222] train-mlogloss:0.266080 eval-mlogloss:0.473720
[223] train-mlogloss:0.265610 eval-mlogloss:0.473499
[224] train-mlogloss:0.264807 eval-mlogloss:0.473189
[225] train-mlogloss:0.264033 eval-mlogloss:0.472930
[226] train-mlogloss:0.263390 eval-mlogloss:0.472807
[227] train-mlogloss:0.262710 eval-mlogloss:0.472634
[228] train-mlogloss:0.262042 eval-mlogloss:0.472380
[229] train-mlogloss:0.261626 eval-mlogloss:0.472176
[230] train-mlogloss:0.261058 eval-mlogloss:0.471948
[231] train-mlogloss:0.260468 eval-mlogloss:0.471756
[232] train-mlogloss:0.259942 eval-mlogloss:0.471543
[233] train-mlogloss:0.259338 eval-mlogloss:0.471369
[234] train-mlogloss:0.258567 eval-mlogloss:0.471140
[235] train-mlogloss:0.258016 eval-mlogloss:0.470982
[236] train-mlogloss:0.257411 eval-mlogloss:0.470696
[237] train-mlogloss:0.256622 eval-mlogloss:0.470460
[238] train-mlogloss:0.255971 eval-mlogloss:0.470299
[239] train-mlogloss:0.255311 eval-mlogloss:0.470101
[240] train-mlogloss:0.254790 eval-mlogloss:0.469954
[241] train-mlogloss:0.254376 eval-mlogloss:0.469808
[242] train-mlogloss:0.253796 eval-mlogloss:0.469647
[243] train-mlogloss:0.253131 eval-mlogloss:0.469428
[244] train-mlogloss:0.252659 eval-mlogloss:0.469242
[245] train-mlogloss:0.251966 eval-mlogloss:0.469097
[246] train-mlogloss:0.251220 eval-mlogloss:0.468922
[247] train-mlogloss:0.250737 eval-mlogloss:0.468763
[248] train-mlogloss:0.250201 eval-mlogloss:0.468579
[249] train-mlogloss:0.249590 eval-mlogloss:0.468389
[250] train-mlogloss:0.248799 eval-mlogloss:0.468267
[251] train-mlogloss:0.248294 eval-mlogloss:0.468120
[252] train-mlogloss:0.247739 eval-mlogloss:0.467931
[253] train-mlogloss:0.247158 eval-mlogloss:0.467753
[254] train-mlogloss:0.246661 eval-mlogloss:0.467475
[255] train-mlogloss:0.246136 eval-mlogloss:0.467331
[256] train-mlogloss:0.245570 eval-mlogloss:0.467160
[257] train-mlogloss:0.245010 eval-mlogloss:0.466977
[258] train-mlogloss:0.244523 eval-mlogloss:0.466836
[259] train-mlogloss:0.244031 eval-mlogloss:0.466668
[260] train-mlogloss:0.243413 eval-mlogloss:0.466489
[261] train-mlogloss:0.242874 eval-mlogloss:0.466248
[262] train-mlogloss:0.242407 eval-mlogloss:0.466114
[263] train-mlogloss:0.241840 eval-mlogloss:0.465896
[264] train-mlogloss:0.241375 eval-mlogloss:0.465740
[265] train-mlogloss:0.240833 eval-mlogloss:0.465554
[266] train-mlogloss:0.240031 eval-mlogloss:0.465307
[267] train-mlogloss:0.239453 eval-mlogloss:0.465067
[268] train-mlogloss:0.238806 eval-mlogloss:0.464915
[269] train-mlogloss:0.238076 eval-mlogloss:0.464765
[270] train-mlogloss:0.237479 eval-mlogloss:0.464566
[271] train-mlogloss:0.236842 eval-mlogloss:0.464369
[272] train-mlogloss:0.236253 eval-mlogloss:0.464274
[273] train-mlogloss:0.235812 eval-mlogloss:0.464094
[274] train-mlogloss:0.235189 eval-mlogloss:0.463926
[275] train-mlogloss:0.234631 eval-mlogloss:0.463836
[276] train-mlogloss:0.234124 eval-mlogloss:0.463748
[277] train-mlogloss:0.233593 eval-mlogloss:0.463564
[278] train-mlogloss:0.233085 eval-mlogloss:0.463538
[279] train-mlogloss:0.232571 eval-mlogloss:0.463450
[280] train-mlogloss:0.232079 eval-mlogloss:0.463352
[281] train-mlogloss:0.231668 eval-mlogloss:0.463192
[282] train-mlogloss:0.231183 eval-mlogloss:0.463041
[283] train-mlogloss:0.230774 eval-mlogloss:0.462916
[284] train-mlogloss:0.230261 eval-mlogloss:0.462867
[285] train-mlogloss:0.229753 eval-mlogloss:0.462744
[286] train-mlogloss:0.229254 eval-mlogloss:0.462585
[287] train-mlogloss:0.228702 eval-mlogloss:0.462411
[288] train-mlogloss:0.228277 eval-mlogloss:0.462360
[289] train-mlogloss:0.227652 eval-mlogloss:0.462241
[290] train-mlogloss:0.227033 eval-mlogloss:0.462159
[291] train-mlogloss:0.226597 eval-mlogloss:0.462083
[292] train-mlogloss:0.226044 eval-mlogloss:0.461935
[293] train-mlogloss:0.225529 eval-mlogloss:0.461724
[294] train-mlogloss:0.225013 eval-mlogloss:0.461583
[295] train-mlogloss:0.224618 eval-mlogloss:0.461458
[296] train-mlogloss:0.224221 eval-mlogloss:0.461386
[297] train-mlogloss:0.223826 eval-mlogloss:0.461362
[298] train-mlogloss:0.223287 eval-mlogloss:0.461272
[299] train-mlogloss:0.222864 eval-mlogloss:0.461130
[300] train-mlogloss:0.222427 eval-mlogloss:0.461054
[301] train-mlogloss:0.221964 eval-mlogloss:0.460896
[302] train-mlogloss:0.221585 eval-mlogloss:0.460838
[303] train-mlogloss:0.221232 eval-mlogloss:0.460705
[304] train-mlogloss:0.220804 eval-mlogloss:0.460581
[305] train-mlogloss:0.220291 eval-mlogloss:0.460477
[306] train-mlogloss:0.219863 eval-mlogloss:0.460414
[307] train-mlogloss:0.219384 eval-mlogloss:0.460335
[308] train-mlogloss:0.218949 eval-mlogloss:0.460241
[309] train-mlogloss:0.218486 eval-mlogloss:0.460092
[310] train-mlogloss:0.217960 eval-mlogloss:0.459920
[311] train-mlogloss:0.217470 eval-mlogloss:0.459841
[312] train-mlogloss:0.217066 eval-mlogloss:0.459777
[313] train-mlogloss:0.216582 eval-mlogloss:0.459683
[314] train-mlogloss:0.216067 eval-mlogloss:0.459582
[315] train-mlogloss:0.215755 eval-mlogloss:0.459443
[316] train-mlogloss:0.215348 eval-mlogloss:0.459415
[317] train-mlogloss:0.214969 eval-mlogloss:0.459313
[318] train-mlogloss:0.214608 eval-mlogloss:0.459192
[319] train-mlogloss:0.214054 eval-mlogloss:0.459129
[320] train-mlogloss:0.213740 eval-mlogloss:0.459088
[321] train-mlogloss:0.213315 eval-mlogloss:0.458943
[322] train-mlogloss:0.212848 eval-mlogloss:0.458891
[323] train-mlogloss:0.212471 eval-mlogloss:0.458797
[324] train-mlogloss:0.211976 eval-mlogloss:0.458694
[325] train-mlogloss:0.211539 eval-mlogloss:0.458680
[326] train-mlogloss:0.211049 eval-mlogloss:0.458596
[327] train-mlogloss:0.210669 eval-mlogloss:0.458505
[328] train-mlogloss:0.210293 eval-mlogloss:0.458439
[329] train-mlogloss:0.209933 eval-mlogloss:0.458341
[330] train-mlogloss:0.209482 eval-mlogloss:0.458217
[331] train-mlogloss:0.209083 eval-mlogloss:0.458102
[332] train-mlogloss:0.208583 eval-mlogloss:0.457984
[333] train-mlogloss:0.208206 eval-mlogloss:0.457892
[334] train-mlogloss:0.207775 eval-mlogloss:0.457838
[335] train-mlogloss:0.207414 eval-mlogloss:0.457792
[336] train-mlogloss:0.206980 eval-mlogloss:0.457690
[337] train-mlogloss:0.206508 eval-mlogloss:0.457522
[338] train-mlogloss:0.206193 eval-mlogloss:0.457458
[339] train-mlogloss:0.205713 eval-mlogloss:0.457391
[340] train-mlogloss:0.205331 eval-mlogloss:0.457297
[341] train-mlogloss:0.204993 eval-mlogloss:0.457227
[342] train-mlogloss:0.204648 eval-mlogloss:0.457229
[343] train-mlogloss:0.204205 eval-mlogloss:0.457055
[344] train-mlogloss:0.203771 eval-mlogloss:0.456993
[345] train-mlogloss:0.203259 eval-mlogloss:0.456796
[346] train-mlogloss:0.202913 eval-mlogloss:0.456757
[347] train-mlogloss:0.202514 eval-mlogloss:0.456729
[348] train-mlogloss:0.202079 eval-mlogloss:0.456622
[349] train-mlogloss:0.201655 eval-mlogloss:0.456607
[350] train-mlogloss:0.201256 eval-mlogloss:0.456539
[351] train-mlogloss:0.200950 eval-mlogloss:0.456496
[352] train-mlogloss:0.200574 eval-mlogloss:0.456416
[353] train-mlogloss:0.200206 eval-mlogloss:0.456402
[354] train-mlogloss:0.199843 eval-mlogloss:0.456321
[355] train-mlogloss:0.199411 eval-mlogloss:0.456240
[356] train-mlogloss:0.198922 eval-mlogloss:0.456141
[357] train-mlogloss:0.198534 eval-mlogloss:0.456074
[358] train-mlogloss:0.198165 eval-mlogloss:0.456053
[359] train-mlogloss:0.197874 eval-mlogloss:0.456027
[360] train-mlogloss:0.197521 eval-mlogloss:0.456024
[361] train-mlogloss:0.197117 eval-mlogloss:0.455880
[362] train-mlogloss:0.196711 eval-mlogloss:0.455860
[363] train-mlogloss:0.196365 eval-mlogloss:0.455782
[364] train-mlogloss:0.195953 eval-mlogloss:0.455740
[365] train-mlogloss:0.195553 eval-mlogloss:0.455657
[366] train-mlogloss:0.195158 eval-mlogloss:0.455531
[367] train-mlogloss:0.194749 eval-mlogloss:0.455450
[368] train-mlogloss:0.194335 eval-mlogloss:0.455436
[369] train-mlogloss:0.193971 eval-mlogloss:0.455284
[370] train-mlogloss:0.193680 eval-mlogloss:0.455250
[371] train-mlogloss:0.193247 eval-mlogloss:0.455218
[372] train-mlogloss:0.192847 eval-mlogloss:0.455115
[373] train-mlogloss:0.192462 eval-mlogloss:0.455083
[374] train-mlogloss:0.192074 eval-mlogloss:0.455097
[375] train-mlogloss:0.191812 eval-mlogloss:0.455025
[376] train-mlogloss:0.191444 eval-mlogloss:0.454953
[377] train-mlogloss:0.191143 eval-mlogloss:0.454822
[378] train-mlogloss:0.190704 eval-mlogloss:0.454798
[379] train-mlogloss:0.190334 eval-mlogloss:0.454701
[380] train-mlogloss:0.190069 eval-mlogloss:0.454656
[381] train-mlogloss:0.189754 eval-mlogloss:0.454630
[382] train-mlogloss:0.189477 eval-mlogloss:0.454575
[383] train-mlogloss:0.189120 eval-mlogloss:0.454614
[384] train-mlogloss:0.188849 eval-mlogloss:0.454585
[385] train-mlogloss:0.188324 eval-mlogloss:0.454528
[386] train-mlogloss:0.188005 eval-mlogloss:0.454507
[387] train-mlogloss:0.187578 eval-mlogloss:0.454441
[388] train-mlogloss:0.187145 eval-mlogloss:0.454353
[389] train-mlogloss:0.186826 eval-mlogloss:0.454334
[390] train-mlogloss:0.186557 eval-mlogloss:0.454320
[391] train-mlogloss:0.186201 eval-mlogloss:0.454210
[392] train-mlogloss:0.185882 eval-mlogloss:0.454157
[393] train-mlogloss:0.185639 eval-mlogloss:0.454107
[394] train-mlogloss:0.185361 eval-mlogloss:0.454094
[395] train-mlogloss:0.185012 eval-mlogloss:0.454045
[396] train-mlogloss:0.184602 eval-mlogloss:0.454052
[397] train-mlogloss:0.184249 eval-mlogloss:0.453932
[398] train-mlogloss:0.183896 eval-mlogloss:0.453875
[399] train-mlogloss:0.183648 eval-mlogloss:0.453816
[400] train-mlogloss:0.183313 eval-mlogloss:0.453758
[401] train-mlogloss:0.182826 eval-mlogloss:0.453694
[402] train-mlogloss:0.182482 eval-mlogloss:0.453664
[403] train-mlogloss:0.182036 eval-mlogloss:0.453495
[404] train-mlogloss:0.181754 eval-mlogloss:0.453468
[405] train-mlogloss:0.181332 eval-mlogloss:0.453488
[406] train-mlogloss:0.181075 eval-mlogloss:0.453428
[407] train-mlogloss:0.180729 eval-mlogloss:0.453398
[408] train-mlogloss:0.180368 eval-mlogloss:0.453374
[409] train-mlogloss:0.180133 eval-mlogloss:0.453312
[410] train-mlogloss:0.179797 eval-mlogloss:0.453287
[411] train-mlogloss:0.179441 eval-mlogloss:0.453247
[412] train-mlogloss:0.179119 eval-mlogloss:0.453249
[413] train-mlogloss:0.178861 eval-mlogloss:0.453187
[414] train-mlogloss:0.178482 eval-mlogloss:0.453169
[415] train-mlogloss:0.178202 eval-mlogloss:0.453167
[416] train-mlogloss:0.177935 eval-mlogloss:0.453098
[417] train-mlogloss:0.177655 eval-mlogloss:0.453035
[418] train-mlogloss:0.177209 eval-mlogloss:0.452972
[419] train-mlogloss:0.176905 eval-mlogloss:0.452907
[420] train-mlogloss:0.176646 eval-mlogloss:0.452898
[421] train-mlogloss:0.176351 eval-mlogloss:0.452790
[422] train-mlogloss:0.176019 eval-mlogloss:0.452692
[423] train-mlogloss:0.175629 eval-mlogloss:0.452698
[424] train-mlogloss:0.175394 eval-mlogloss:0.452711
[425] train-mlogloss:0.175090 eval-mlogloss:0.452692
[426] train-mlogloss:0.174860 eval-mlogloss:0.452662
[427] train-mlogloss:0.174500 eval-mlogloss:0.452598
[428] train-mlogloss:0.174226 eval-mlogloss:0.452598
[429] train-mlogloss:0.173919 eval-mlogloss:0.452579
[430] train-mlogloss:0.173674 eval-mlogloss:0.452523
[431] train-mlogloss:0.173299 eval-mlogloss:0.452477
[432] train-mlogloss:0.173016 eval-mlogloss:0.452400
[433] train-mlogloss:0.172735 eval-mlogloss:0.452314
[434] train-mlogloss:0.172541 eval-mlogloss:0.452255
[435] train-mlogloss:0.172201 eval-mlogloss:0.452301
[436] train-mlogloss:0.171858 eval-mlogloss:0.452311
[437] train-mlogloss:0.171624 eval-mlogloss:0.452338
[438] train-mlogloss:0.171356 eval-mlogloss:0.452304
[439] train-mlogloss:0.171133 eval-mlogloss:0.452301
[440] train-mlogloss:0.170785 eval-mlogloss:0.452300
[441] train-mlogloss:0.170541 eval-mlogloss:0.452195
[442] train-mlogloss:0.170225 eval-mlogloss:0.452142
[443] train-mlogloss:0.169949 eval-mlogloss:0.452106
[444] train-mlogloss:0.169671 eval-mlogloss:0.452125
[445] train-mlogloss:0.169375 eval-mlogloss:0.452138
[446] train-mlogloss:0.169071 eval-mlogloss:0.452094
[447] train-mlogloss:0.168869 eval-mlogloss:0.452077
[448] train-mlogloss:0.168612 eval-mlogloss:0.452089
[449] train-mlogloss:0.168283 eval-mlogloss:0.452131
[450] train-mlogloss:0.168019 eval-mlogloss:0.452158
[451] train-mlogloss:0.167666 eval-mlogloss:0.452212
[452] train-mlogloss:0.167439 eval-mlogloss:0.452241
[453] train-mlogloss:0.167216 eval-mlogloss:0.452282
[454] train-mlogloss:0.166941 eval-mlogloss:0.452268
[455] train-mlogloss:0.166609 eval-mlogloss:0.452278
[456] train-mlogloss:0.166311 eval-mlogloss:0.452310
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.7000000000000001, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 901.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.45225086193177877
[457] train-mlogloss:0.166028 eval-mlogloss:0.452251
Stopping. Best iteration:
[447] train-mlogloss:0.168869 eval-mlogloss:0.452077
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.043689 eval-mlogloss:2.044075
[1] train-mlogloss:1.924102 eval-mlogloss:1.924943
[2] train-mlogloss:1.831560 eval-mlogloss:1.833318
[3] train-mlogloss:1.745727 eval-mlogloss:1.747203
[4] train-mlogloss:1.670827 eval-mlogloss:1.672733
[5] train-mlogloss:1.607339 eval-mlogloss:1.609452
[6] train-mlogloss:1.544103 eval-mlogloss:1.546640
[7] train-mlogloss:1.491553 eval-mlogloss:1.494569
[8] train-mlogloss:1.439487 eval-mlogloss:1.442906
[9] train-mlogloss:1.394878 eval-mlogloss:1.398835
[10] train-mlogloss:1.355668 eval-mlogloss:1.359808
[11] train-mlogloss:1.316955 eval-mlogloss:1.321393
[12] train-mlogloss:1.280473 eval-mlogloss:1.285297
[13] train-mlogloss:1.246622 eval-mlogloss:1.251778
[14] train-mlogloss:1.214696 eval-mlogloss:1.220174
[15] train-mlogloss:1.185941 eval-mlogloss:1.191877
[16] train-mlogloss:1.158360 eval-mlogloss:1.164621
[17] train-mlogloss:1.130944 eval-mlogloss:1.137627
[18] train-mlogloss:1.107440 eval-mlogloss:1.114303
[19] train-mlogloss:1.085863 eval-mlogloss:1.092793
[20] train-mlogloss:1.065467 eval-mlogloss:1.072699
[21] train-mlogloss:1.047077 eval-mlogloss:1.054468
[22] train-mlogloss:1.027416 eval-mlogloss:1.034806
[23] train-mlogloss:1.009571 eval-mlogloss:1.017317
[24] train-mlogloss:0.992600 eval-mlogloss:1.000451
[25] train-mlogloss:0.977028 eval-mlogloss:0.985253
[26] train-mlogloss:0.962660 eval-mlogloss:0.971166
[27] train-mlogloss:0.949080 eval-mlogloss:0.957924
[28] train-mlogloss:0.934952 eval-mlogloss:0.944004
[29] train-mlogloss:0.923583 eval-mlogloss:0.932896
[30] train-mlogloss:0.911510 eval-mlogloss:0.921153
[31] train-mlogloss:0.899755 eval-mlogloss:0.909584
[32] train-mlogloss:0.888067 eval-mlogloss:0.898132
[33] train-mlogloss:0.877254 eval-mlogloss:0.887458
[34] train-mlogloss:0.866456 eval-mlogloss:0.876952
[35] train-mlogloss:0.856533 eval-mlogloss:0.867212
[36] train-mlogloss:0.846995 eval-mlogloss:0.857968
[37] train-mlogloss:0.838621 eval-mlogloss:0.849902
[38] train-mlogloss:0.829707 eval-mlogloss:0.841230
[39] train-mlogloss:0.821142 eval-mlogloss:0.832951
[40] train-mlogloss:0.812914 eval-mlogloss:0.824867
[41] train-mlogloss:0.805216 eval-mlogloss:0.817264
[42] train-mlogloss:0.797747 eval-mlogloss:0.810173
[43] train-mlogloss:0.790840 eval-mlogloss:0.803695
[44] train-mlogloss:0.783786 eval-mlogloss:0.796877
[45] train-mlogloss:0.777674 eval-mlogloss:0.791085
[46] train-mlogloss:0.771595 eval-mlogloss:0.785326
[47] train-mlogloss:0.765559 eval-mlogloss:0.779570
[48] train-mlogloss:0.759578 eval-mlogloss:0.773813
[49] train-mlogloss:0.754322 eval-mlogloss:0.768718
[50] train-mlogloss:0.748926 eval-mlogloss:0.763445
[51] train-mlogloss:0.743652 eval-mlogloss:0.758322
[52] train-mlogloss:0.738315 eval-mlogloss:0.753218
[53] train-mlogloss:0.733246 eval-mlogloss:0.748401
[54] train-mlogloss:0.728737 eval-mlogloss:0.744088
[55] train-mlogloss:0.723926 eval-mlogloss:0.739716
[56] train-mlogloss:0.719318 eval-mlogloss:0.735335
[57] train-mlogloss:0.714919 eval-mlogloss:0.731235
[58] train-mlogloss:0.710593 eval-mlogloss:0.727193
[59] train-mlogloss:0.706483 eval-mlogloss:0.723522
[60] train-mlogloss:0.702617 eval-mlogloss:0.719771
[61] train-mlogloss:0.698823 eval-mlogloss:0.716325
[62] train-mlogloss:0.695348 eval-mlogloss:0.713123
[63] train-mlogloss:0.691782 eval-mlogloss:0.709666
[64] train-mlogloss:0.688284 eval-mlogloss:0.706155
[65] train-mlogloss:0.684676 eval-mlogloss:0.702723
[66] train-mlogloss:0.681390 eval-mlogloss:0.699641
[67] train-mlogloss:0.677956 eval-mlogloss:0.696331
[68] train-mlogloss:0.674923 eval-mlogloss:0.693374
[69] train-mlogloss:0.671980 eval-mlogloss:0.690572
[70] train-mlogloss:0.669150 eval-mlogloss:0.688010
[71] train-mlogloss:0.666247 eval-mlogloss:0.685266
[72] train-mlogloss:0.663208 eval-mlogloss:0.682397
[73] train-mlogloss:0.660252 eval-mlogloss:0.679553
[74] train-mlogloss:0.657631 eval-mlogloss:0.677200
[75] train-mlogloss:0.654689 eval-mlogloss:0.674451
[76] train-mlogloss:0.652356 eval-mlogloss:0.672422
[77] train-mlogloss:0.649746 eval-mlogloss:0.670061
[78] train-mlogloss:0.647209 eval-mlogloss:0.667763
[79] train-mlogloss:0.644603 eval-mlogloss:0.665364
[80] train-mlogloss:0.642057 eval-mlogloss:0.662966
[81] train-mlogloss:0.639593 eval-mlogloss:0.660643
[82] train-mlogloss:0.637502 eval-mlogloss:0.658865
[83] train-mlogloss:0.635175 eval-mlogloss:0.656828
[84] train-mlogloss:0.633178 eval-mlogloss:0.654994
[85] train-mlogloss:0.630983 eval-mlogloss:0.653114
[86] train-mlogloss:0.628738 eval-mlogloss:0.650906
[87] train-mlogloss:0.626664 eval-mlogloss:0.649088
[88] train-mlogloss:0.624826 eval-mlogloss:0.647504
[89] train-mlogloss:0.622837 eval-mlogloss:0.645751
[90] train-mlogloss:0.620874 eval-mlogloss:0.643887
[91] train-mlogloss:0.618992 eval-mlogloss:0.642224
[92] train-mlogloss:0.617267 eval-mlogloss:0.640669
[93] train-mlogloss:0.615451 eval-mlogloss:0.639132
[94] train-mlogloss:0.613828 eval-mlogloss:0.637766
[95] train-mlogloss:0.612025 eval-mlogloss:0.636074
[96] train-mlogloss:0.610404 eval-mlogloss:0.634692
[97] train-mlogloss:0.608778 eval-mlogloss:0.633242
[98] train-mlogloss:0.607199 eval-mlogloss:0.631827
[99] train-mlogloss:0.605492 eval-mlogloss:0.630272
[100] train-mlogloss:0.603904 eval-mlogloss:0.628938
[101] train-mlogloss:0.602257 eval-mlogloss:0.627596
[102] train-mlogloss:0.600662 eval-mlogloss:0.626207
[103] train-mlogloss:0.599112 eval-mlogloss:0.624883
[104] train-mlogloss:0.597594 eval-mlogloss:0.623592
[105] train-mlogloss:0.596097 eval-mlogloss:0.622202
[106] train-mlogloss:0.594666 eval-mlogloss:0.620969
[107] train-mlogloss:0.593477 eval-mlogloss:0.619915
[108] train-mlogloss:0.591962 eval-mlogloss:0.618671
[109] train-mlogloss:0.590583 eval-mlogloss:0.617505
[110] train-mlogloss:0.589249 eval-mlogloss:0.616320
[111] train-mlogloss:0.587777 eval-mlogloss:0.615011
[112] train-mlogloss:0.586350 eval-mlogloss:0.613857
[113] train-mlogloss:0.584850 eval-mlogloss:0.612667
[114] train-mlogloss:0.583573 eval-mlogloss:0.611559
[115] train-mlogloss:0.582322 eval-mlogloss:0.610486
[116] train-mlogloss:0.581045 eval-mlogloss:0.609508
[117] train-mlogloss:0.579679 eval-mlogloss:0.608409
[118] train-mlogloss:0.578444 eval-mlogloss:0.607435
[119] train-mlogloss:0.577331 eval-mlogloss:0.606500
[120] train-mlogloss:0.576223 eval-mlogloss:0.605527
[121] train-mlogloss:0.575167 eval-mlogloss:0.604562
[122] train-mlogloss:0.573972 eval-mlogloss:0.603618
[123] train-mlogloss:0.572860 eval-mlogloss:0.602680
[124] train-mlogloss:0.571687 eval-mlogloss:0.601730
[125] train-mlogloss:0.570464 eval-mlogloss:0.600793
[126] train-mlogloss:0.569372 eval-mlogloss:0.599885
[127] train-mlogloss:0.568230 eval-mlogloss:0.598924
[128] train-mlogloss:0.567199 eval-mlogloss:0.598002
[129] train-mlogloss:0.566194 eval-mlogloss:0.597214
[130] train-mlogloss:0.565276 eval-mlogloss:0.596408
[131] train-mlogloss:0.564300 eval-mlogloss:0.595599
[132] train-mlogloss:0.563196 eval-mlogloss:0.594603
[133] train-mlogloss:0.562210 eval-mlogloss:0.593751
[134] train-mlogloss:0.561278 eval-mlogloss:0.593004
[135] train-mlogloss:0.560229 eval-mlogloss:0.592104
[136] train-mlogloss:0.559224 eval-mlogloss:0.591413
[137] train-mlogloss:0.558148 eval-mlogloss:0.590512
[138] train-mlogloss:0.557139 eval-mlogloss:0.589732
[139] train-mlogloss:0.556139 eval-mlogloss:0.588940
[140] train-mlogloss:0.555242 eval-mlogloss:0.588125
[141] train-mlogloss:0.554212 eval-mlogloss:0.587307
[142] train-mlogloss:0.553220 eval-mlogloss:0.586448
[143] train-mlogloss:0.552383 eval-mlogloss:0.585774
[144] train-mlogloss:0.551428 eval-mlogloss:0.585027
[145] train-mlogloss:0.550487 eval-mlogloss:0.584279
[146] train-mlogloss:0.549588 eval-mlogloss:0.583612
[147] train-mlogloss:0.548685 eval-mlogloss:0.582994
[148] train-mlogloss:0.547784 eval-mlogloss:0.582307
[149] train-mlogloss:0.546875 eval-mlogloss:0.581535
[150] train-mlogloss:0.546131 eval-mlogloss:0.580842
[151] train-mlogloss:0.545140 eval-mlogloss:0.580016
[152] train-mlogloss:0.544298 eval-mlogloss:0.579410
[153] train-mlogloss:0.543407 eval-mlogloss:0.578651
[154] train-mlogloss:0.542574 eval-mlogloss:0.577867
[155] train-mlogloss:0.541716 eval-mlogloss:0.577196
[156] train-mlogloss:0.540861 eval-mlogloss:0.576507
[157] train-mlogloss:0.540136 eval-mlogloss:0.576005
[158] train-mlogloss:0.539345 eval-mlogloss:0.575392
[159] train-mlogloss:0.538547 eval-mlogloss:0.574768
[160] train-mlogloss:0.537780 eval-mlogloss:0.574225
[161] train-mlogloss:0.537003 eval-mlogloss:0.573601
[162] train-mlogloss:0.536215 eval-mlogloss:0.573021
[163] train-mlogloss:0.535527 eval-mlogloss:0.572464
[164] train-mlogloss:0.534660 eval-mlogloss:0.571845
[165] train-mlogloss:0.534071 eval-mlogloss:0.571356
[166] train-mlogloss:0.533253 eval-mlogloss:0.570639
[167] train-mlogloss:0.532399 eval-mlogloss:0.569951
[168] train-mlogloss:0.531650 eval-mlogloss:0.569389
[169] train-mlogloss:0.530995 eval-mlogloss:0.568937
[170] train-mlogloss:0.530359 eval-mlogloss:0.568497
[171] train-mlogloss:0.529625 eval-mlogloss:0.567984
[172] train-mlogloss:0.528826 eval-mlogloss:0.567307
[173] train-mlogloss:0.528097 eval-mlogloss:0.566866
[174] train-mlogloss:0.527479 eval-mlogloss:0.566438
[175] train-mlogloss:0.526686 eval-mlogloss:0.565921
[176] train-mlogloss:0.525943 eval-mlogloss:0.565447
[177] train-mlogloss:0.525084 eval-mlogloss:0.564796
[178] train-mlogloss:0.524471 eval-mlogloss:0.564359
[179] train-mlogloss:0.523802 eval-mlogloss:0.563808
[180] train-mlogloss:0.523102 eval-mlogloss:0.563328
[181] train-mlogloss:0.522369 eval-mlogloss:0.562865
[182] train-mlogloss:0.521735 eval-mlogloss:0.562377
[183] train-mlogloss:0.520988 eval-mlogloss:0.561962
[184] train-mlogloss:0.520250 eval-mlogloss:0.561485
[185] train-mlogloss:0.519704 eval-mlogloss:0.561083
[186] train-mlogloss:0.518922 eval-mlogloss:0.560587
[187] train-mlogloss:0.518428 eval-mlogloss:0.560281
[188] train-mlogloss:0.517708 eval-mlogloss:0.559887
[189] train-mlogloss:0.517105 eval-mlogloss:0.559515
[190] train-mlogloss:0.516516 eval-mlogloss:0.559114
[191] train-mlogloss:0.515829 eval-mlogloss:0.558611
[192] train-mlogloss:0.515001 eval-mlogloss:0.558113
[193] train-mlogloss:0.514382 eval-mlogloss:0.557878
[194] train-mlogloss:0.513833 eval-mlogloss:0.557543
[195] train-mlogloss:0.513242 eval-mlogloss:0.557156
[196] train-mlogloss:0.512605 eval-mlogloss:0.556640
[197] train-mlogloss:0.512067 eval-mlogloss:0.556186
[198] train-mlogloss:0.511467 eval-mlogloss:0.555778
[199] train-mlogloss:0.510706 eval-mlogloss:0.555255
[200] train-mlogloss:0.510063 eval-mlogloss:0.554753
[201] train-mlogloss:0.509418 eval-mlogloss:0.554226
[202] train-mlogloss:0.508956 eval-mlogloss:0.553923
[203] train-mlogloss:0.508426 eval-mlogloss:0.553576
[204] train-mlogloss:0.507806 eval-mlogloss:0.553007
[205] train-mlogloss:0.507300 eval-mlogloss:0.552725
[206] train-mlogloss:0.506794 eval-mlogloss:0.552351
[207] train-mlogloss:0.506263 eval-mlogloss:0.551982
[208] train-mlogloss:0.505742 eval-mlogloss:0.551626
[209] train-mlogloss:0.505145 eval-mlogloss:0.551171
[210] train-mlogloss:0.504562 eval-mlogloss:0.550758
[211] train-mlogloss:0.504015 eval-mlogloss:0.550390
[212] train-mlogloss:0.503354 eval-mlogloss:0.549933
[213] train-mlogloss:0.502806 eval-mlogloss:0.549562
[214] train-mlogloss:0.502234 eval-mlogloss:0.549208
[215] train-mlogloss:0.501714 eval-mlogloss:0.548871
[216] train-mlogloss:0.501076 eval-mlogloss:0.548442
[217] train-mlogloss:0.500456 eval-mlogloss:0.547882
[218] train-mlogloss:0.499914 eval-mlogloss:0.547565
[219] train-mlogloss:0.499487 eval-mlogloss:0.547281
[220] train-mlogloss:0.498958 eval-mlogloss:0.546938
[221] train-mlogloss:0.498360 eval-mlogloss:0.546599
[222] train-mlogloss:0.497840 eval-mlogloss:0.546288
[223] train-mlogloss:0.497236 eval-mlogloss:0.545830
[224] train-mlogloss:0.496672 eval-mlogloss:0.545419
[225] train-mlogloss:0.496314 eval-mlogloss:0.545137
[226] train-mlogloss:0.495759 eval-mlogloss:0.544692
[227] train-mlogloss:0.495287 eval-mlogloss:0.544378
[228] train-mlogloss:0.494788 eval-mlogloss:0.544019
[229] train-mlogloss:0.494259 eval-mlogloss:0.543692
[230] train-mlogloss:0.493606 eval-mlogloss:0.543352
[231] train-mlogloss:0.493087 eval-mlogloss:0.543072
[232] train-mlogloss:0.492616 eval-mlogloss:0.542747
[233] train-mlogloss:0.492238 eval-mlogloss:0.542475
[234] train-mlogloss:0.491796 eval-mlogloss:0.542122
[235] train-mlogloss:0.491300 eval-mlogloss:0.541860
[236] train-mlogloss:0.490821 eval-mlogloss:0.541600
[237] train-mlogloss:0.490310 eval-mlogloss:0.541406
[238] train-mlogloss:0.489819 eval-mlogloss:0.541110
[239] train-mlogloss:0.489276 eval-mlogloss:0.540735
[240] train-mlogloss:0.488715 eval-mlogloss:0.540298
[241] train-mlogloss:0.488293 eval-mlogloss:0.540073
[242] train-mlogloss:0.487871 eval-mlogloss:0.539745
[243] train-mlogloss:0.487352 eval-mlogloss:0.539445
[244] train-mlogloss:0.486858 eval-mlogloss:0.539019
[245] train-mlogloss:0.486342 eval-mlogloss:0.538738
[246] train-mlogloss:0.485909 eval-mlogloss:0.538481
[247] train-mlogloss:0.485432 eval-mlogloss:0.538182
[248] train-mlogloss:0.485060 eval-mlogloss:0.537897
[249] train-mlogloss:0.484596 eval-mlogloss:0.537579
[250] train-mlogloss:0.484172 eval-mlogloss:0.537316
[251] train-mlogloss:0.483632 eval-mlogloss:0.537040
[252] train-mlogloss:0.483195 eval-mlogloss:0.536785
[253] train-mlogloss:0.482678 eval-mlogloss:0.536533
[254] train-mlogloss:0.482222 eval-mlogloss:0.536255
[255] train-mlogloss:0.481804 eval-mlogloss:0.535998
[256] train-mlogloss:0.481281 eval-mlogloss:0.535586
[257] train-mlogloss:0.480827 eval-mlogloss:0.535345
[258] train-mlogloss:0.480364 eval-mlogloss:0.535013
[259] train-mlogloss:0.479845 eval-mlogloss:0.534724
[260] train-mlogloss:0.479392 eval-mlogloss:0.534479
[261] train-mlogloss:0.478924 eval-mlogloss:0.534202
[262] train-mlogloss:0.478501 eval-mlogloss:0.533971
[263] train-mlogloss:0.478085 eval-mlogloss:0.533633
Training with params :
{'eta': 0.07500000000000001, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 6.0, 'n_estimators': 265.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.5334293711873745
[264] train-mlogloss:0.477715 eval-mlogloss:0.533429
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.795898 eval-mlogloss:1.800671
[1] train-mlogloss:1.529705 eval-mlogloss:1.529259
[2] train-mlogloss:1.407930 eval-mlogloss:1.408517
[3] train-mlogloss:1.325710 eval-mlogloss:1.329366
[4] train-mlogloss:1.262023 eval-mlogloss:1.268235
[5] train-mlogloss:1.208864 eval-mlogloss:1.213842
[6] train-mlogloss:1.165563 eval-mlogloss:1.171242
[7] train-mlogloss:1.127113 eval-mlogloss:1.133045
[8] train-mlogloss:1.094882 eval-mlogloss:1.100518
[9] train-mlogloss:1.064003 eval-mlogloss:1.070103
[10] train-mlogloss:1.040750 eval-mlogloss:1.047790
[11] train-mlogloss:1.019250 eval-mlogloss:1.025571
[12] train-mlogloss:0.999487 eval-mlogloss:1.006448
[13] train-mlogloss:0.980305 eval-mlogloss:0.988046
[14] train-mlogloss:0.964481 eval-mlogloss:0.971676
[15] train-mlogloss:0.949198 eval-mlogloss:0.955949
[16] train-mlogloss:0.936333 eval-mlogloss:0.943755
[17] train-mlogloss:0.923474 eval-mlogloss:0.930769
[18] train-mlogloss:0.911768 eval-mlogloss:0.919417
[19] train-mlogloss:0.900924 eval-mlogloss:0.908291
[20] train-mlogloss:0.891063 eval-mlogloss:0.898472
[21] train-mlogloss:0.881453 eval-mlogloss:0.889070
[22] train-mlogloss:0.872747 eval-mlogloss:0.879953
[23] train-mlogloss:0.864450 eval-mlogloss:0.871255
[24] train-mlogloss:0.856590 eval-mlogloss:0.863246
[25] train-mlogloss:0.849386 eval-mlogloss:0.856120
[26] train-mlogloss:0.842522 eval-mlogloss:0.849300
[27] train-mlogloss:0.835935 eval-mlogloss:0.841960
[28] train-mlogloss:0.829374 eval-mlogloss:0.835507
[29] train-mlogloss:0.823485 eval-mlogloss:0.829845
[30] train-mlogloss:0.817383 eval-mlogloss:0.824206
[31] train-mlogloss:0.811675 eval-mlogloss:0.818426
[32] train-mlogloss:0.806258 eval-mlogloss:0.812689
[33] train-mlogloss:0.801269 eval-mlogloss:0.807724
[34] train-mlogloss:0.796288 eval-mlogloss:0.803329
[35] train-mlogloss:0.791402 eval-mlogloss:0.798486
[36] train-mlogloss:0.786990 eval-mlogloss:0.793969
[37] train-mlogloss:0.782656 eval-mlogloss:0.789651
[38] train-mlogloss:0.778249 eval-mlogloss:0.785120
[39] train-mlogloss:0.774299 eval-mlogloss:0.781024
[40] train-mlogloss:0.770205 eval-mlogloss:0.776749
[41] train-mlogloss:0.766301 eval-mlogloss:0.772821
[42] train-mlogloss:0.762583 eval-mlogloss:0.769057
[43] train-mlogloss:0.759032 eval-mlogloss:0.765525
[44] train-mlogloss:0.755542 eval-mlogloss:0.762070
[45] train-mlogloss:0.752165 eval-mlogloss:0.758793
[46] train-mlogloss:0.749016 eval-mlogloss:0.755596
[47] train-mlogloss:0.745855 eval-mlogloss:0.752928
[48] train-mlogloss:0.742820 eval-mlogloss:0.750399
[49] train-mlogloss:0.739877 eval-mlogloss:0.748252
[50] train-mlogloss:0.736877 eval-mlogloss:0.744918
[51] train-mlogloss:0.734101 eval-mlogloss:0.741908
[52] train-mlogloss:0.731440 eval-mlogloss:0.739491
[53] train-mlogloss:0.728774 eval-mlogloss:0.736420
[54] train-mlogloss:0.726260 eval-mlogloss:0.733915
[55] train-mlogloss:0.723825 eval-mlogloss:0.731128
[56] train-mlogloss:0.721420 eval-mlogloss:0.728878
[57] train-mlogloss:0.719161 eval-mlogloss:0.726907
[58] train-mlogloss:0.716831 eval-mlogloss:0.724325
[59] train-mlogloss:0.714577 eval-mlogloss:0.721909
[60] train-mlogloss:0.712415 eval-mlogloss:0.719838
[61] train-mlogloss:0.710267 eval-mlogloss:0.717910
[62] train-mlogloss:0.708142 eval-mlogloss:0.715619
[63] train-mlogloss:0.706046 eval-mlogloss:0.713641
[64] train-mlogloss:0.703951 eval-mlogloss:0.711370
[65] train-mlogloss:0.701925 eval-mlogloss:0.709877
[66] train-mlogloss:0.699917 eval-mlogloss:0.707608
[67] train-mlogloss:0.697973 eval-mlogloss:0.705713
[68] train-mlogloss:0.696191 eval-mlogloss:0.703618
[69] train-mlogloss:0.694367 eval-mlogloss:0.701846
[70] train-mlogloss:0.692532 eval-mlogloss:0.699731
[71] train-mlogloss:0.690770 eval-mlogloss:0.697972
[72] train-mlogloss:0.689092 eval-mlogloss:0.696717
[73] train-mlogloss:0.687540 eval-mlogloss:0.695358
[74] train-mlogloss:0.685882 eval-mlogloss:0.693639
[75] train-mlogloss:0.684269 eval-mlogloss:0.692019
[76] train-mlogloss:0.682710 eval-mlogloss:0.690594
[77] train-mlogloss:0.681149 eval-mlogloss:0.688746
[78] train-mlogloss:0.679661 eval-mlogloss:0.687292
[79] train-mlogloss:0.678136 eval-mlogloss:0.685537
[80] train-mlogloss:0.676689 eval-mlogloss:0.684297
[81] train-mlogloss:0.675262 eval-mlogloss:0.683005
[82] train-mlogloss:0.673775 eval-mlogloss:0.681805
[83] train-mlogloss:0.672442 eval-mlogloss:0.680557
[84] train-mlogloss:0.671043 eval-mlogloss:0.678824
[85] train-mlogloss:0.669695 eval-mlogloss:0.677705
[86] train-mlogloss:0.668369 eval-mlogloss:0.676386
[87] train-mlogloss:0.667027 eval-mlogloss:0.675316
[88] train-mlogloss:0.665757 eval-mlogloss:0.674423
[89] train-mlogloss:0.664526 eval-mlogloss:0.673051
[90] train-mlogloss:0.663224 eval-mlogloss:0.671586
[91] train-mlogloss:0.662029 eval-mlogloss:0.670254
[92] train-mlogloss:0.660787 eval-mlogloss:0.669347
[93] train-mlogloss:0.659589 eval-mlogloss:0.668142
[94] train-mlogloss:0.658372 eval-mlogloss:0.666820
[95] train-mlogloss:0.657305 eval-mlogloss:0.665821
[96] train-mlogloss:0.656099 eval-mlogloss:0.664781
[97] train-mlogloss:0.654960 eval-mlogloss:0.663842
[98] train-mlogloss:0.653912 eval-mlogloss:0.662571
[99] train-mlogloss:0.652871 eval-mlogloss:0.661556
[100] train-mlogloss:0.651821 eval-mlogloss:0.660660
[101] train-mlogloss:0.650829 eval-mlogloss:0.659736
[102] train-mlogloss:0.649827 eval-mlogloss:0.658707
[103] train-mlogloss:0.648845 eval-mlogloss:0.657764
[104] train-mlogloss:0.647831 eval-mlogloss:0.656851
[105] train-mlogloss:0.646812 eval-mlogloss:0.655850
[106] train-mlogloss:0.645792 eval-mlogloss:0.654970
[107] train-mlogloss:0.644777 eval-mlogloss:0.654023
[108] train-mlogloss:0.643802 eval-mlogloss:0.653154
[109] train-mlogloss:0.642860 eval-mlogloss:0.652239
[110] train-mlogloss:0.641924 eval-mlogloss:0.651558
[111] train-mlogloss:0.640978 eval-mlogloss:0.650650
[112] train-mlogloss:0.640084 eval-mlogloss:0.650004
[113] train-mlogloss:0.639229 eval-mlogloss:0.649370
[114] train-mlogloss:0.638326 eval-mlogloss:0.648372
[115] train-mlogloss:0.637486 eval-mlogloss:0.647707
[116] train-mlogloss:0.636629 eval-mlogloss:0.647156
[117] train-mlogloss:0.635799 eval-mlogloss:0.646394
[118] train-mlogloss:0.634910 eval-mlogloss:0.645435
[119] train-mlogloss:0.634031 eval-mlogloss:0.644232
[120] train-mlogloss:0.633228 eval-mlogloss:0.643412
[121] train-mlogloss:0.632399 eval-mlogloss:0.642442
[122] train-mlogloss:0.631652 eval-mlogloss:0.641527
[123] train-mlogloss:0.630837 eval-mlogloss:0.640723
[124] train-mlogloss:0.630092 eval-mlogloss:0.640011
[125] train-mlogloss:0.629295 eval-mlogloss:0.639404
[126] train-mlogloss:0.628447 eval-mlogloss:0.638840
[127] train-mlogloss:0.627688 eval-mlogloss:0.638393
[128] train-mlogloss:0.626911 eval-mlogloss:0.637785
[129] train-mlogloss:0.626220 eval-mlogloss:0.636935
[130] train-mlogloss:0.625553 eval-mlogloss:0.636304
[131] train-mlogloss:0.624824 eval-mlogloss:0.635558
[132] train-mlogloss:0.624148 eval-mlogloss:0.634945
[133] train-mlogloss:0.623499 eval-mlogloss:0.634352
[134] train-mlogloss:0.622809 eval-mlogloss:0.633672
[135] train-mlogloss:0.622105 eval-mlogloss:0.632980
[136] train-mlogloss:0.621449 eval-mlogloss:0.632203
[137] train-mlogloss:0.620768 eval-mlogloss:0.631668
[138] train-mlogloss:0.620122 eval-mlogloss:0.631098
[139] train-mlogloss:0.619441 eval-mlogloss:0.630409
[140] train-mlogloss:0.618765 eval-mlogloss:0.629782
[141] train-mlogloss:0.618117 eval-mlogloss:0.629546
[142] train-mlogloss:0.617479 eval-mlogloss:0.629054
[143] train-mlogloss:0.616810 eval-mlogloss:0.628287
[144] train-mlogloss:0.616212 eval-mlogloss:0.627800
[145] train-mlogloss:0.615552 eval-mlogloss:0.627451
[146] train-mlogloss:0.614975 eval-mlogloss:0.626840
[147] train-mlogloss:0.614395 eval-mlogloss:0.626310
[148] train-mlogloss:0.613817 eval-mlogloss:0.626101
[149] train-mlogloss:0.613248 eval-mlogloss:0.625625
[150] train-mlogloss:0.612659 eval-mlogloss:0.625122
[151] train-mlogloss:0.612086 eval-mlogloss:0.624475
[152] train-mlogloss:0.611483 eval-mlogloss:0.623850
[153] train-mlogloss:0.610918 eval-mlogloss:0.623056
[154] train-mlogloss:0.610357 eval-mlogloss:0.622565
[155] train-mlogloss:0.609846 eval-mlogloss:0.622072
[156] train-mlogloss:0.609264 eval-mlogloss:0.621555
[157] train-mlogloss:0.608733 eval-mlogloss:0.621188
[158] train-mlogloss:0.608123 eval-mlogloss:0.620876
[159] train-mlogloss:0.607609 eval-mlogloss:0.620361
[160] train-mlogloss:0.607118 eval-mlogloss:0.619913
[161] train-mlogloss:0.606609 eval-mlogloss:0.619537
[162] train-mlogloss:0.606060 eval-mlogloss:0.619114
[163] train-mlogloss:0.605533 eval-mlogloss:0.618585
[164] train-mlogloss:0.605064 eval-mlogloss:0.618305
[165] train-mlogloss:0.604538 eval-mlogloss:0.617802
[166] train-mlogloss:0.604053 eval-mlogloss:0.617278
[167] train-mlogloss:0.603532 eval-mlogloss:0.616820
[168] train-mlogloss:0.603010 eval-mlogloss:0.616045
[169] train-mlogloss:0.602499 eval-mlogloss:0.615632
[170] train-mlogloss:0.602012 eval-mlogloss:0.614939
[171] train-mlogloss:0.601518 eval-mlogloss:0.614371
[172] train-mlogloss:0.601016 eval-mlogloss:0.613988
[173] train-mlogloss:0.600528 eval-mlogloss:0.613709
[174] train-mlogloss:0.600054 eval-mlogloss:0.613253
[175] train-mlogloss:0.599585 eval-mlogloss:0.613085
[176] train-mlogloss:0.599110 eval-mlogloss:0.612997
[177] train-mlogloss:0.598649 eval-mlogloss:0.612713
[178] train-mlogloss:0.598144 eval-mlogloss:0.612453
[179] train-mlogloss:0.597698 eval-mlogloss:0.611879
[180] train-mlogloss:0.597222 eval-mlogloss:0.611555
[181] train-mlogloss:0.596741 eval-mlogloss:0.611249
[182] train-mlogloss:0.596319 eval-mlogloss:0.611057
[183] train-mlogloss:0.595912 eval-mlogloss:0.610692
[184] train-mlogloss:0.595487 eval-mlogloss:0.610171
[185] train-mlogloss:0.595043 eval-mlogloss:0.609672
[186] train-mlogloss:0.594581 eval-mlogloss:0.609185
[187] train-mlogloss:0.594168 eval-mlogloss:0.608887
[188] train-mlogloss:0.593758 eval-mlogloss:0.608405
[189] train-mlogloss:0.593316 eval-mlogloss:0.607872
[190] train-mlogloss:0.592915 eval-mlogloss:0.607457
[191] train-mlogloss:0.592503 eval-mlogloss:0.607225
[192] train-mlogloss:0.592089 eval-mlogloss:0.607090
[193] train-mlogloss:0.591672 eval-mlogloss:0.606872
[194] train-mlogloss:0.591250 eval-mlogloss:0.606595
[195] train-mlogloss:0.590817 eval-mlogloss:0.606288
[196] train-mlogloss:0.590423 eval-mlogloss:0.606101
[197] train-mlogloss:0.590026 eval-mlogloss:0.605788
[198] train-mlogloss:0.589615 eval-mlogloss:0.605375
[199] train-mlogloss:0.589213 eval-mlogloss:0.605059
[200] train-mlogloss:0.588809 eval-mlogloss:0.604757
[201] train-mlogloss:0.588425 eval-mlogloss:0.604209
[202] train-mlogloss:0.588050 eval-mlogloss:0.603934
[203] train-mlogloss:0.587682 eval-mlogloss:0.603652
[204] train-mlogloss:0.587334 eval-mlogloss:0.603517
[205] train-mlogloss:0.586960 eval-mlogloss:0.603295
[206] train-mlogloss:0.586576 eval-mlogloss:0.602980
[207] train-mlogloss:0.586207 eval-mlogloss:0.602898
[208] train-mlogloss:0.585835 eval-mlogloss:0.602581
[209] train-mlogloss:0.585479 eval-mlogloss:0.602454
[210] train-mlogloss:0.585127 eval-mlogloss:0.602237
[211] train-mlogloss:0.584790 eval-mlogloss:0.601844
[212] train-mlogloss:0.584449 eval-mlogloss:0.601490
[213] train-mlogloss:0.584090 eval-mlogloss:0.601152
[214] train-mlogloss:0.583728 eval-mlogloss:0.600806
[215] train-mlogloss:0.583335 eval-mlogloss:0.600439
[216] train-mlogloss:0.582999 eval-mlogloss:0.600232
[217] train-mlogloss:0.582673 eval-mlogloss:0.600107
[218] train-mlogloss:0.582327 eval-mlogloss:0.599727
[219] train-mlogloss:0.581972 eval-mlogloss:0.599456
[220] train-mlogloss:0.581637 eval-mlogloss:0.599111
[221] train-mlogloss:0.581341 eval-mlogloss:0.598792
[222] train-mlogloss:0.581035 eval-mlogloss:0.598580
[223] train-mlogloss:0.580692 eval-mlogloss:0.598417
[224] train-mlogloss:0.580410 eval-mlogloss:0.598282
[225] train-mlogloss:0.580116 eval-mlogloss:0.598264
[226] train-mlogloss:0.579793 eval-mlogloss:0.597905
[227] train-mlogloss:0.579448 eval-mlogloss:0.597490
[228] train-mlogloss:0.579104 eval-mlogloss:0.597137
[229] train-mlogloss:0.578780 eval-mlogloss:0.596904
[230] train-mlogloss:0.578475 eval-mlogloss:0.596598
[231] train-mlogloss:0.578154 eval-mlogloss:0.596180
[232] train-mlogloss:0.577862 eval-mlogloss:0.596117
[233] train-mlogloss:0.577535 eval-mlogloss:0.595941
[234] train-mlogloss:0.577230 eval-mlogloss:0.595787
[235] train-mlogloss:0.576945 eval-mlogloss:0.595516
[236] train-mlogloss:0.576636 eval-mlogloss:0.595282
[237] train-mlogloss:0.576301 eval-mlogloss:0.595153
[238] train-mlogloss:0.576015 eval-mlogloss:0.594909
[239] train-mlogloss:0.575741 eval-mlogloss:0.594421
[240] train-mlogloss:0.575456 eval-mlogloss:0.594432
[241] train-mlogloss:0.575154 eval-mlogloss:0.594116
[242] train-mlogloss:0.574890 eval-mlogloss:0.593876
[243] train-mlogloss:0.574584 eval-mlogloss:0.593524
[244] train-mlogloss:0.574285 eval-mlogloss:0.593230
[245] train-mlogloss:0.574005 eval-mlogloss:0.593106
[246] train-mlogloss:0.573718 eval-mlogloss:0.592947
[247] train-mlogloss:0.573430 eval-mlogloss:0.592915
[248] train-mlogloss:0.573146 eval-mlogloss:0.592662
[249] train-mlogloss:0.572847 eval-mlogloss:0.592490
[250] train-mlogloss:0.572583 eval-mlogloss:0.592317
[251] train-mlogloss:0.572306 eval-mlogloss:0.591963
[252] train-mlogloss:0.572048 eval-mlogloss:0.591820
[253] train-mlogloss:0.571781 eval-mlogloss:0.591653
[254] train-mlogloss:0.571539 eval-mlogloss:0.591280
[255] train-mlogloss:0.571311 eval-mlogloss:0.591056
[256] train-mlogloss:0.571053 eval-mlogloss:0.590951
[257] train-mlogloss:0.570793 eval-mlogloss:0.590926
[258] train-mlogloss:0.570546 eval-mlogloss:0.590798
[259] train-mlogloss:0.570268 eval-mlogloss:0.590535
[260] train-mlogloss:0.570031 eval-mlogloss:0.590481
[261] train-mlogloss:0.569801 eval-mlogloss:0.590267
[262] train-mlogloss:0.569558 eval-mlogloss:0.590166
[263] train-mlogloss:0.569324 eval-mlogloss:0.589823
[264] train-mlogloss:0.569072 eval-mlogloss:0.589766
[265] train-mlogloss:0.568803 eval-mlogloss:0.589738
[266] train-mlogloss:0.568525 eval-mlogloss:0.589455
[267] train-mlogloss:0.568278 eval-mlogloss:0.589142
[268] train-mlogloss:0.568025 eval-mlogloss:0.588942
[269] train-mlogloss:0.567786 eval-mlogloss:0.588747
[270] train-mlogloss:0.567509 eval-mlogloss:0.588561
[271] train-mlogloss:0.567268 eval-mlogloss:0.588402
[272] train-mlogloss:0.567044 eval-mlogloss:0.588311
[273] train-mlogloss:0.566799 eval-mlogloss:0.588038
[274] train-mlogloss:0.566570 eval-mlogloss:0.587906
[275] train-mlogloss:0.566330 eval-mlogloss:0.587757
[276] train-mlogloss:0.566108 eval-mlogloss:0.587412
[277] train-mlogloss:0.565856 eval-mlogloss:0.587374
[278] train-mlogloss:0.565625 eval-mlogloss:0.587427
[279] train-mlogloss:0.565393 eval-mlogloss:0.587280
[280] train-mlogloss:0.565181 eval-mlogloss:0.587097
[281] train-mlogloss:0.564956 eval-mlogloss:0.586810
[282] train-mlogloss:0.564737 eval-mlogloss:0.586782
[283] train-mlogloss:0.564533 eval-mlogloss:0.586761
[284] train-mlogloss:0.564298 eval-mlogloss:0.586604
[285] train-mlogloss:0.564068 eval-mlogloss:0.586302
[286] train-mlogloss:0.563860 eval-mlogloss:0.586198
[287] train-mlogloss:0.563624 eval-mlogloss:0.586153
[288] train-mlogloss:0.563415 eval-mlogloss:0.586038
[289] train-mlogloss:0.563199 eval-mlogloss:0.585793
[290] train-mlogloss:0.562984 eval-mlogloss:0.585803
[291] train-mlogloss:0.562779 eval-mlogloss:0.585661
[292] train-mlogloss:0.562570 eval-mlogloss:0.585343
[293] train-mlogloss:0.562377 eval-mlogloss:0.585340
[294] train-mlogloss:0.562188 eval-mlogloss:0.585217
[295] train-mlogloss:0.561995 eval-mlogloss:0.585213
[296] train-mlogloss:0.561801 eval-mlogloss:0.585088
[297] train-mlogloss:0.561573 eval-mlogloss:0.585039
[298] train-mlogloss:0.561337 eval-mlogloss:0.584957
[299] train-mlogloss:0.561109 eval-mlogloss:0.584745
[300] train-mlogloss:0.560907 eval-mlogloss:0.584739
[301] train-mlogloss:0.560704 eval-mlogloss:0.584525
[302] train-mlogloss:0.560489 eval-mlogloss:0.584295
[303] train-mlogloss:0.560291 eval-mlogloss:0.584210
[304] train-mlogloss:0.560111 eval-mlogloss:0.584364
[305] train-mlogloss:0.559908 eval-mlogloss:0.584364
[306] train-mlogloss:0.559710 eval-mlogloss:0.584413
[307] train-mlogloss:0.559477 eval-mlogloss:0.584350
[308] train-mlogloss:0.559301 eval-mlogloss:0.584215
[309] train-mlogloss:0.559120 eval-mlogloss:0.584046
[310] train-mlogloss:0.558927 eval-mlogloss:0.584122
[311] train-mlogloss:0.558720 eval-mlogloss:0.583831
[312] train-mlogloss:0.558500 eval-mlogloss:0.583630
[313] train-mlogloss:0.558289 eval-mlogloss:0.583336
[314] train-mlogloss:0.558138 eval-mlogloss:0.583190
[315] train-mlogloss:0.557926 eval-mlogloss:0.583096
[316] train-mlogloss:0.557731 eval-mlogloss:0.582983
[317] train-mlogloss:0.557556 eval-mlogloss:0.582820
[318] train-mlogloss:0.557361 eval-mlogloss:0.582722
[319] train-mlogloss:0.557146 eval-mlogloss:0.582619
[320] train-mlogloss:0.556964 eval-mlogloss:0.582590
[321] train-mlogloss:0.556775 eval-mlogloss:0.582424
[322] train-mlogloss:0.556574 eval-mlogloss:0.582373
[323] train-mlogloss:0.556367 eval-mlogloss:0.582033
[324] train-mlogloss:0.556184 eval-mlogloss:0.581909
[325] train-mlogloss:0.555993 eval-mlogloss:0.581567
[326] train-mlogloss:0.555827 eval-mlogloss:0.581504
[327] train-mlogloss:0.555636 eval-mlogloss:0.581504
[328] train-mlogloss:0.555464 eval-mlogloss:0.581367
[329] train-mlogloss:0.555277 eval-mlogloss:0.581294
[330] train-mlogloss:0.555090 eval-mlogloss:0.581262
[331] train-mlogloss:0.554898 eval-mlogloss:0.581249
[332] train-mlogloss:0.554702 eval-mlogloss:0.581053
[333] train-mlogloss:0.554514 eval-mlogloss:0.580992
[334] train-mlogloss:0.554329 eval-mlogloss:0.580974
[335] train-mlogloss:0.554156 eval-mlogloss:0.580842
[336] train-mlogloss:0.553972 eval-mlogloss:0.580790
[337] train-mlogloss:0.553810 eval-mlogloss:0.580754
[338] train-mlogloss:0.553623 eval-mlogloss:0.580628
[339] train-mlogloss:0.553450 eval-mlogloss:0.580360
[340] train-mlogloss:0.553289 eval-mlogloss:0.580097
[341] train-mlogloss:0.553136 eval-mlogloss:0.579981
[342] train-mlogloss:0.552942 eval-mlogloss:0.579829
[343] train-mlogloss:0.552780 eval-mlogloss:0.579869
[344] train-mlogloss:0.552601 eval-mlogloss:0.579956
[345] train-mlogloss:0.552423 eval-mlogloss:0.579761
[346] train-mlogloss:0.552263 eval-mlogloss:0.579676
[347] train-mlogloss:0.552099 eval-mlogloss:0.579700
[348] train-mlogloss:0.551941 eval-mlogloss:0.579393
[349] train-mlogloss:0.551799 eval-mlogloss:0.579250
[350] train-mlogloss:0.551643 eval-mlogloss:0.579285
[351] train-mlogloss:0.551490 eval-mlogloss:0.579248
[352] train-mlogloss:0.551328 eval-mlogloss:0.579045
[353] train-mlogloss:0.551149 eval-mlogloss:0.578970
[354] train-mlogloss:0.550960 eval-mlogloss:0.578693
[355] train-mlogloss:0.550811 eval-mlogloss:0.578532
[356] train-mlogloss:0.550669 eval-mlogloss:0.578561
[357] train-mlogloss:0.550519 eval-mlogloss:0.578357
[358] train-mlogloss:0.550377 eval-mlogloss:0.578212
[359] train-mlogloss:0.550204 eval-mlogloss:0.578082
[360] train-mlogloss:0.550026 eval-mlogloss:0.577974
[361] train-mlogloss:0.549866 eval-mlogloss:0.577834
[362] train-mlogloss:0.549693 eval-mlogloss:0.577672
[363] train-mlogloss:0.549538 eval-mlogloss:0.577605
[364] train-mlogloss:0.549383 eval-mlogloss:0.577679
[365] train-mlogloss:0.549226 eval-mlogloss:0.577783
[366] train-mlogloss:0.549071 eval-mlogloss:0.577824
[367] train-mlogloss:0.548914 eval-mlogloss:0.577671
[368] train-mlogloss:0.548767 eval-mlogloss:0.577600
[369] train-mlogloss:0.548598 eval-mlogloss:0.577409
[370] train-mlogloss:0.548457 eval-mlogloss:0.577320
[371] train-mlogloss:0.548291 eval-mlogloss:0.577255
[372] train-mlogloss:0.548151 eval-mlogloss:0.577114
[373] train-mlogloss:0.548002 eval-mlogloss:0.577003
[374] train-mlogloss:0.547844 eval-mlogloss:0.576678
[375] train-mlogloss:0.547694 eval-mlogloss:0.576612
[376] train-mlogloss:0.547563 eval-mlogloss:0.576342
[377] train-mlogloss:0.547400 eval-mlogloss:0.576171
[378] train-mlogloss:0.547266 eval-mlogloss:0.576116
[379] train-mlogloss:0.547121 eval-mlogloss:0.575984
[380] train-mlogloss:0.546966 eval-mlogloss:0.575968
[381] train-mlogloss:0.546828 eval-mlogloss:0.575844
[382] train-mlogloss:0.546691 eval-mlogloss:0.575880
[383] train-mlogloss:0.546556 eval-mlogloss:0.575796
[384] train-mlogloss:0.546387 eval-mlogloss:0.575582
[385] train-mlogloss:0.546230 eval-mlogloss:0.575477
[386] train-mlogloss:0.546094 eval-mlogloss:0.575527
[387] train-mlogloss:0.545936 eval-mlogloss:0.575329
[388] train-mlogloss:0.545806 eval-mlogloss:0.575213
[389] train-mlogloss:0.545691 eval-mlogloss:0.575222
[390] train-mlogloss:0.545570 eval-mlogloss:0.575086
[391] train-mlogloss:0.545415 eval-mlogloss:0.575042
[392] train-mlogloss:0.545293 eval-mlogloss:0.575031
[393] train-mlogloss:0.545175 eval-mlogloss:0.574927
[394] train-mlogloss:0.545035 eval-mlogloss:0.574968
[395] train-mlogloss:0.544910 eval-mlogloss:0.574864
[396] train-mlogloss:0.544743 eval-mlogloss:0.574728
[397] train-mlogloss:0.544620 eval-mlogloss:0.574700
[398] train-mlogloss:0.544468 eval-mlogloss:0.574799
[399] train-mlogloss:0.544322 eval-mlogloss:0.574706
[400] train-mlogloss:0.544179 eval-mlogloss:0.574492
[401] train-mlogloss:0.544017 eval-mlogloss:0.574463
[402] train-mlogloss:0.543887 eval-mlogloss:0.574271
[403] train-mlogloss:0.543751 eval-mlogloss:0.574128
[404] train-mlogloss:0.543610 eval-mlogloss:0.574022
[405] train-mlogloss:0.543484 eval-mlogloss:0.573820
[406] train-mlogloss:0.543370 eval-mlogloss:0.573613
[407] train-mlogloss:0.543227 eval-mlogloss:0.573410
[408] train-mlogloss:0.543108 eval-mlogloss:0.573277
[409] train-mlogloss:0.542978 eval-mlogloss:0.573280
[410] train-mlogloss:0.542863 eval-mlogloss:0.573332
[411] train-mlogloss:0.542737 eval-mlogloss:0.573392
[412] train-mlogloss:0.542600 eval-mlogloss:0.573293
[413] train-mlogloss:0.542470 eval-mlogloss:0.573280
[414] train-mlogloss:0.542367 eval-mlogloss:0.573094
[415] train-mlogloss:0.542241 eval-mlogloss:0.572884
[416] train-mlogloss:0.542125 eval-mlogloss:0.572836
[417] train-mlogloss:0.542030 eval-mlogloss:0.572729
[418] train-mlogloss:0.541897 eval-mlogloss:0.572780
[419] train-mlogloss:0.541748 eval-mlogloss:0.572764
[420] train-mlogloss:0.541629 eval-mlogloss:0.572579
[421] train-mlogloss:0.541499 eval-mlogloss:0.572403
[422] train-mlogloss:0.541367 eval-mlogloss:0.572253
[423] train-mlogloss:0.541244 eval-mlogloss:0.572091
[424] train-mlogloss:0.541119 eval-mlogloss:0.572121
[425] train-mlogloss:0.541003 eval-mlogloss:0.572158
[426] train-mlogloss:0.540876 eval-mlogloss:0.572125
[427] train-mlogloss:0.540749 eval-mlogloss:0.571884
[428] train-mlogloss:0.540616 eval-mlogloss:0.571723
[429] train-mlogloss:0.540509 eval-mlogloss:0.571609
[430] train-mlogloss:0.540374 eval-mlogloss:0.571640
[431] train-mlogloss:0.540244 eval-mlogloss:0.571602
[432] train-mlogloss:0.540105 eval-mlogloss:0.571659
[433] train-mlogloss:0.539981 eval-mlogloss:0.571608
[434] train-mlogloss:0.539881 eval-mlogloss:0.571707
[435] train-mlogloss:0.539734 eval-mlogloss:0.571565
[436] train-mlogloss:0.539599 eval-mlogloss:0.571612
[437] train-mlogloss:0.539504 eval-mlogloss:0.571644
[438] train-mlogloss:0.539377 eval-mlogloss:0.571416
[439] train-mlogloss:0.539258 eval-mlogloss:0.571325
[440] train-mlogloss:0.539149 eval-mlogloss:0.571308
[441] train-mlogloss:0.539017 eval-mlogloss:0.571193
[442] train-mlogloss:0.538911 eval-mlogloss:0.571228
[443] train-mlogloss:0.538812 eval-mlogloss:0.571127
[444] train-mlogloss:0.538709 eval-mlogloss:0.571126
[445] train-mlogloss:0.538580 eval-mlogloss:0.571089
[446] train-mlogloss:0.538473 eval-mlogloss:0.570975
[447] train-mlogloss:0.538341 eval-mlogloss:0.571035
[448] train-mlogloss:0.538210 eval-mlogloss:0.571218
[449] train-mlogloss:0.538099 eval-mlogloss:0.571164
[450] train-mlogloss:0.538005 eval-mlogloss:0.571199
[451] train-mlogloss:0.537881 eval-mlogloss:0.571221
[452] train-mlogloss:0.537786 eval-mlogloss:0.570940
[453] train-mlogloss:0.537680 eval-mlogloss:0.570882
[454] train-mlogloss:0.537561 eval-mlogloss:0.570857
[455] train-mlogloss:0.537430 eval-mlogloss:0.570799
[456] train-mlogloss:0.537336 eval-mlogloss:0.570812
[457] train-mlogloss:0.537240 eval-mlogloss:0.570937
[458] train-mlogloss:0.537123 eval-mlogloss:0.570917
[459] train-mlogloss:0.537025 eval-mlogloss:0.570901
[460] train-mlogloss:0.536912 eval-mlogloss:0.570761
[461] train-mlogloss:0.536818 eval-mlogloss:0.570685
[462] train-mlogloss:0.536707 eval-mlogloss:0.570561
[463] train-mlogloss:0.536591 eval-mlogloss:0.570594
[464] train-mlogloss:0.536462 eval-mlogloss:0.570587
[465] train-mlogloss:0.536346 eval-mlogloss:0.570591
[466] train-mlogloss:0.536253 eval-mlogloss:0.570660
[467] train-mlogloss:0.536158 eval-mlogloss:0.570490
[468] train-mlogloss:0.536033 eval-mlogloss:0.570391
[469] train-mlogloss:0.535928 eval-mlogloss:0.570274
[470] train-mlogloss:0.535840 eval-mlogloss:0.570295
[471] train-mlogloss:0.535733 eval-mlogloss:0.570199
[472] train-mlogloss:0.535637 eval-mlogloss:0.570093
[473] train-mlogloss:0.535523 eval-mlogloss:0.570055
[474] train-mlogloss:0.535434 eval-mlogloss:0.570284
[475] train-mlogloss:0.535330 eval-mlogloss:0.570277
[476] train-mlogloss:0.535231 eval-mlogloss:0.570294
[477] train-mlogloss:0.535113 eval-mlogloss:0.570306
[478] train-mlogloss:0.534995 eval-mlogloss:0.570084
[479] train-mlogloss:0.534899 eval-mlogloss:0.570077
[480] train-mlogloss:0.534791 eval-mlogloss:0.570039
[481] train-mlogloss:0.534681 eval-mlogloss:0.569904
[482] train-mlogloss:0.534592 eval-mlogloss:0.569874
[483] train-mlogloss:0.534500 eval-mlogloss:0.569933
[484] train-mlogloss:0.534386 eval-mlogloss:0.569891
[485] train-mlogloss:0.534280 eval-mlogloss:0.569875
[486] train-mlogloss:0.534183 eval-mlogloss:0.569839
[487] train-mlogloss:0.534077 eval-mlogloss:0.569711
[488] train-mlogloss:0.533981 eval-mlogloss:0.569535
[489] train-mlogloss:0.533906 eval-mlogloss:0.569472
[490] train-mlogloss:0.533793 eval-mlogloss:0.569582
[491] train-mlogloss:0.533687 eval-mlogloss:0.569469
[492] train-mlogloss:0.533571 eval-mlogloss:0.569303
[493] train-mlogloss:0.533477 eval-mlogloss:0.569228
[494] train-mlogloss:0.533355 eval-mlogloss:0.569224
[495] train-mlogloss:0.533271 eval-mlogloss:0.569361
[496] train-mlogloss:0.533183 eval-mlogloss:0.569264
[497] train-mlogloss:0.533085 eval-mlogloss:0.569278
[498] train-mlogloss:0.532976 eval-mlogloss:0.569203
[499] train-mlogloss:0.532876 eval-mlogloss:0.569296
[500] train-mlogloss:0.532774 eval-mlogloss:0.569253
[501] train-mlogloss:0.532686 eval-mlogloss:0.569219
[502] train-mlogloss:0.532589 eval-mlogloss:0.569197
[503] train-mlogloss:0.532489 eval-mlogloss:0.569223
[504] train-mlogloss:0.532391 eval-mlogloss:0.569164
[505] train-mlogloss:0.532307 eval-mlogloss:0.569198
[506] train-mlogloss:0.532219 eval-mlogloss:0.569248
[507] train-mlogloss:0.532118 eval-mlogloss:0.569343
[508] train-mlogloss:0.532028 eval-mlogloss:0.569164
[509] train-mlogloss:0.531916 eval-mlogloss:0.569144
[510] train-mlogloss:0.531849 eval-mlogloss:0.569209
[511] train-mlogloss:0.531776 eval-mlogloss:0.569254
[512] train-mlogloss:0.531699 eval-mlogloss:0.569063
[513] train-mlogloss:0.531613 eval-mlogloss:0.568926
[514] train-mlogloss:0.531538 eval-mlogloss:0.568918
[515] train-mlogloss:0.531449 eval-mlogloss:0.569015
[516] train-mlogloss:0.531368 eval-mlogloss:0.568976
[517] train-mlogloss:0.531281 eval-mlogloss:0.568965
[518] train-mlogloss:0.531189 eval-mlogloss:0.569014
[519] train-mlogloss:0.531093 eval-mlogloss:0.568943
[520] train-mlogloss:0.531002 eval-mlogloss:0.568865
[521] train-mlogloss:0.530900 eval-mlogloss:0.568948
[522] train-mlogloss:0.530793 eval-mlogloss:0.568905
[523] train-mlogloss:0.530705 eval-mlogloss:0.568856
[524] train-mlogloss:0.530606 eval-mlogloss:0.568802
[525] train-mlogloss:0.530527 eval-mlogloss:0.568774
[526] train-mlogloss:0.530445 eval-mlogloss:0.568816
[527] train-mlogloss:0.530377 eval-mlogloss:0.568734
[528] train-mlogloss:0.530283 eval-mlogloss:0.568792
[529] train-mlogloss:0.530230 eval-mlogloss:0.568832
[530] train-mlogloss:0.530176 eval-mlogloss:0.568820
[531] train-mlogloss:0.530079 eval-mlogloss:0.568829
[532] train-mlogloss:0.529988 eval-mlogloss:0.568789
[533] train-mlogloss:0.529891 eval-mlogloss:0.568956
[534] train-mlogloss:0.529789 eval-mlogloss:0.568913
[535] train-mlogloss:0.529696 eval-mlogloss:0.568861
[536] train-mlogloss:0.529610 eval-mlogloss:0.568704
[537] train-mlogloss:0.529523 eval-mlogloss:0.568622
[538] train-mlogloss:0.529444 eval-mlogloss:0.568486
[539] train-mlogloss:0.529353 eval-mlogloss:0.568387
[540] train-mlogloss:0.529261 eval-mlogloss:0.568307
[541] train-mlogloss:0.529185 eval-mlogloss:0.568472
[542] train-mlogloss:0.529115 eval-mlogloss:0.568443
[543] train-mlogloss:0.529034 eval-mlogloss:0.568433
[544] train-mlogloss:0.528928 eval-mlogloss:0.568218
[545] train-mlogloss:0.528835 eval-mlogloss:0.568164
[546] train-mlogloss:0.528729 eval-mlogloss:0.568047
[547] train-mlogloss:0.528652 eval-mlogloss:0.568072
[548] train-mlogloss:0.528588 eval-mlogloss:0.568139
[549] train-mlogloss:0.528479 eval-mlogloss:0.568088
[550] train-mlogloss:0.528381 eval-mlogloss:0.568014
[551] train-mlogloss:0.528310 eval-mlogloss:0.567994
[552] train-mlogloss:0.528250 eval-mlogloss:0.568130
[553] train-mlogloss:0.528176 eval-mlogloss:0.568223
[554] train-mlogloss:0.528090 eval-mlogloss:0.568244
[555] train-mlogloss:0.528009 eval-mlogloss:0.568354
[556] train-mlogloss:0.527914 eval-mlogloss:0.568283
[557] train-mlogloss:0.527843 eval-mlogloss:0.568193
[558] train-mlogloss:0.527794 eval-mlogloss:0.568220
[559] train-mlogloss:0.527703 eval-mlogloss:0.568191
[560] train-mlogloss:0.527638 eval-mlogloss:0.568159
[561] train-mlogloss:0.527556 eval-mlogloss:0.568182
Training with params :
{'eta': 0.47500000000000003, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 1.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 672.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.5681820842006488
Stopping. Best iteration:
[551] train-mlogloss:0.528310 eval-mlogloss:0.567994
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.867671 eval-mlogloss:1.866114
[1] train-mlogloss:1.692683 eval-mlogloss:1.692100
[2] train-mlogloss:1.561016 eval-mlogloss:1.559988
[3] train-mlogloss:1.463285 eval-mlogloss:1.463237
[4] train-mlogloss:1.382739 eval-mlogloss:1.383542
[5] train-mlogloss:1.313955 eval-mlogloss:1.313896
[6] train-mlogloss:1.255679 eval-mlogloss:1.256020
[7] train-mlogloss:1.207136 eval-mlogloss:1.207559
[8] train-mlogloss:1.163406 eval-mlogloss:1.164216
[9] train-mlogloss:1.127995 eval-mlogloss:1.129371
[10] train-mlogloss:1.095218 eval-mlogloss:1.096194
[11] train-mlogloss:1.065730 eval-mlogloss:1.067279
[12] train-mlogloss:1.038530 eval-mlogloss:1.040925
[13] train-mlogloss:1.015804 eval-mlogloss:1.018876
[14] train-mlogloss:0.994261 eval-mlogloss:0.997596
[15] train-mlogloss:0.974562 eval-mlogloss:0.978294
[16] train-mlogloss:0.957162 eval-mlogloss:0.961098
[17] train-mlogloss:0.940866 eval-mlogloss:0.944637
[18] train-mlogloss:0.925733 eval-mlogloss:0.929930
[19] train-mlogloss:0.911234 eval-mlogloss:0.915936
[20] train-mlogloss:0.898352 eval-mlogloss:0.903221
[21] train-mlogloss:0.886597 eval-mlogloss:0.891779
[22] train-mlogloss:0.875666 eval-mlogloss:0.881118
[23] train-mlogloss:0.864097 eval-mlogloss:0.869734
[24] train-mlogloss:0.854778 eval-mlogloss:0.860550
[25] train-mlogloss:0.845427 eval-mlogloss:0.851373
[26] train-mlogloss:0.837172 eval-mlogloss:0.843077
[27] train-mlogloss:0.828974 eval-mlogloss:0.835110
[28] train-mlogloss:0.821571 eval-mlogloss:0.827757
[29] train-mlogloss:0.814064 eval-mlogloss:0.820645
[30] train-mlogloss:0.807216 eval-mlogloss:0.814060
[31] train-mlogloss:0.800961 eval-mlogloss:0.808018
[32] train-mlogloss:0.794559 eval-mlogloss:0.801682
[33] train-mlogloss:0.788859 eval-mlogloss:0.795719
[34] train-mlogloss:0.783423 eval-mlogloss:0.790553
[35] train-mlogloss:0.777914 eval-mlogloss:0.784910
[36] train-mlogloss:0.772890 eval-mlogloss:0.780168
[37] train-mlogloss:0.767832 eval-mlogloss:0.775416
[38] train-mlogloss:0.763164 eval-mlogloss:0.770755
[39] train-mlogloss:0.758765 eval-mlogloss:0.766433
[40] train-mlogloss:0.754707 eval-mlogloss:0.762433
[41] train-mlogloss:0.750437 eval-mlogloss:0.758245
[42] train-mlogloss:0.746436 eval-mlogloss:0.754224
[43] train-mlogloss:0.742264 eval-mlogloss:0.750276
[44] train-mlogloss:0.738500 eval-mlogloss:0.746766
[45] train-mlogloss:0.734888 eval-mlogloss:0.743479
[46] train-mlogloss:0.731161 eval-mlogloss:0.739940
[47] train-mlogloss:0.727559 eval-mlogloss:0.736555
[48] train-mlogloss:0.724153 eval-mlogloss:0.733000
[49] train-mlogloss:0.720726 eval-mlogloss:0.729424
[50] train-mlogloss:0.717629 eval-mlogloss:0.726300
[51] train-mlogloss:0.714575 eval-mlogloss:0.723556
[52] train-mlogloss:0.711786 eval-mlogloss:0.720887
[53] train-mlogloss:0.709021 eval-mlogloss:0.718284
[54] train-mlogloss:0.706153 eval-mlogloss:0.715565
[55] train-mlogloss:0.703617 eval-mlogloss:0.712941
[56] train-mlogloss:0.700935 eval-mlogloss:0.710366
[57] train-mlogloss:0.698330 eval-mlogloss:0.707839
[58] train-mlogloss:0.695792 eval-mlogloss:0.705625
[59] train-mlogloss:0.693218 eval-mlogloss:0.703125
[60] train-mlogloss:0.690754 eval-mlogloss:0.700805
[61] train-mlogloss:0.688453 eval-mlogloss:0.698649
[62] train-mlogloss:0.686198 eval-mlogloss:0.696361
[63] train-mlogloss:0.683883 eval-mlogloss:0.694388
[64] train-mlogloss:0.681660 eval-mlogloss:0.692312
[65] train-mlogloss:0.679528 eval-mlogloss:0.690426
[66] train-mlogloss:0.677553 eval-mlogloss:0.688658
[67] train-mlogloss:0.675461 eval-mlogloss:0.686679
[68] train-mlogloss:0.673580 eval-mlogloss:0.685051
[69] train-mlogloss:0.671615 eval-mlogloss:0.683210
[70] train-mlogloss:0.669614 eval-mlogloss:0.681391
[71] train-mlogloss:0.667869 eval-mlogloss:0.679856
[72] train-mlogloss:0.665940 eval-mlogloss:0.678027
[73] train-mlogloss:0.664082 eval-mlogloss:0.676298
[74] train-mlogloss:0.662370 eval-mlogloss:0.674895
[75] train-mlogloss:0.660606 eval-mlogloss:0.672860
[76] train-mlogloss:0.658704 eval-mlogloss:0.671125
[77] train-mlogloss:0.657039 eval-mlogloss:0.669585
[78] train-mlogloss:0.655206 eval-mlogloss:0.667866
[79] train-mlogloss:0.653635 eval-mlogloss:0.666393
[80] train-mlogloss:0.651864 eval-mlogloss:0.664893
[81] train-mlogloss:0.650474 eval-mlogloss:0.663613
[82] train-mlogloss:0.649013 eval-mlogloss:0.662200
[83] train-mlogloss:0.647524 eval-mlogloss:0.660937
[84] train-mlogloss:0.646015 eval-mlogloss:0.659556
[85] train-mlogloss:0.644614 eval-mlogloss:0.658134
[86] train-mlogloss:0.643049 eval-mlogloss:0.656606
[87] train-mlogloss:0.641795 eval-mlogloss:0.655513
[88] train-mlogloss:0.640351 eval-mlogloss:0.654397
[89] train-mlogloss:0.638773 eval-mlogloss:0.653068
[90] train-mlogloss:0.637314 eval-mlogloss:0.651714
[91] train-mlogloss:0.636009 eval-mlogloss:0.650573
[92] train-mlogloss:0.634650 eval-mlogloss:0.649243
[93] train-mlogloss:0.633322 eval-mlogloss:0.648022
[94] train-mlogloss:0.632105 eval-mlogloss:0.647015
[95] train-mlogloss:0.630789 eval-mlogloss:0.645664
[96] train-mlogloss:0.629462 eval-mlogloss:0.644597
[97] train-mlogloss:0.628195 eval-mlogloss:0.643611
[98] train-mlogloss:0.627129 eval-mlogloss:0.642709
[99] train-mlogloss:0.625813 eval-mlogloss:0.641606
[100] train-mlogloss:0.624655 eval-mlogloss:0.640544
[101] train-mlogloss:0.623484 eval-mlogloss:0.639339
[102] train-mlogloss:0.622347 eval-mlogloss:0.638125
[103] train-mlogloss:0.621077 eval-mlogloss:0.636898
[104] train-mlogloss:0.620066 eval-mlogloss:0.636033
[105] train-mlogloss:0.618956 eval-mlogloss:0.634698
[106] train-mlogloss:0.617788 eval-mlogloss:0.633707
[107] train-mlogloss:0.616632 eval-mlogloss:0.632656
[108] train-mlogloss:0.615639 eval-mlogloss:0.631800
[109] train-mlogloss:0.614651 eval-mlogloss:0.630958
[110] train-mlogloss:0.613721 eval-mlogloss:0.630134
[111] train-mlogloss:0.612659 eval-mlogloss:0.629191
[112] train-mlogloss:0.611682 eval-mlogloss:0.628110
[113] train-mlogloss:0.610664 eval-mlogloss:0.627265
[114] train-mlogloss:0.609759 eval-mlogloss:0.626615
[115] train-mlogloss:0.608764 eval-mlogloss:0.625889
[116] train-mlogloss:0.607799 eval-mlogloss:0.625072
[117] train-mlogloss:0.606927 eval-mlogloss:0.624276
[118] train-mlogloss:0.606063 eval-mlogloss:0.623581
[119] train-mlogloss:0.605234 eval-mlogloss:0.622813
[120] train-mlogloss:0.604413 eval-mlogloss:0.622093
[121] train-mlogloss:0.603522 eval-mlogloss:0.621265
[122] train-mlogloss:0.602745 eval-mlogloss:0.620515
[123] train-mlogloss:0.601793 eval-mlogloss:0.619477
[124] train-mlogloss:0.600932 eval-mlogloss:0.618796
[125] train-mlogloss:0.600045 eval-mlogloss:0.618129
[126] train-mlogloss:0.599192 eval-mlogloss:0.617483
[127] train-mlogloss:0.598322 eval-mlogloss:0.616759
[128] train-mlogloss:0.597398 eval-mlogloss:0.615982
[129] train-mlogloss:0.596440 eval-mlogloss:0.615096
[130] train-mlogloss:0.595531 eval-mlogloss:0.614292
[131] train-mlogloss:0.594780 eval-mlogloss:0.613719
[132] train-mlogloss:0.594039 eval-mlogloss:0.613098
[133] train-mlogloss:0.593249 eval-mlogloss:0.612440
[134] train-mlogloss:0.592408 eval-mlogloss:0.611742
[135] train-mlogloss:0.591625 eval-mlogloss:0.611160
[136] train-mlogloss:0.590860 eval-mlogloss:0.610396
[137] train-mlogloss:0.590145 eval-mlogloss:0.609716
[138] train-mlogloss:0.589370 eval-mlogloss:0.609008
[139] train-mlogloss:0.588506 eval-mlogloss:0.608163
[140] train-mlogloss:0.587814 eval-mlogloss:0.607495
[141] train-mlogloss:0.586938 eval-mlogloss:0.606890
[142] train-mlogloss:0.586194 eval-mlogloss:0.606226
[143] train-mlogloss:0.585349 eval-mlogloss:0.605410
[144] train-mlogloss:0.584625 eval-mlogloss:0.604876
[145] train-mlogloss:0.583946 eval-mlogloss:0.604359
[146] train-mlogloss:0.583196 eval-mlogloss:0.603758
[147] train-mlogloss:0.582474 eval-mlogloss:0.603178
[148] train-mlogloss:0.581833 eval-mlogloss:0.602686
[149] train-mlogloss:0.581278 eval-mlogloss:0.602157
[150] train-mlogloss:0.580646 eval-mlogloss:0.601574
[151] train-mlogloss:0.580031 eval-mlogloss:0.601078
[152] train-mlogloss:0.579371 eval-mlogloss:0.600387
[153] train-mlogloss:0.578731 eval-mlogloss:0.599847
[154] train-mlogloss:0.578143 eval-mlogloss:0.599263
[155] train-mlogloss:0.577471 eval-mlogloss:0.598735
[156] train-mlogloss:0.576860 eval-mlogloss:0.598250
[157] train-mlogloss:0.576136 eval-mlogloss:0.597723
[158] train-mlogloss:0.575526 eval-mlogloss:0.597163
[159] train-mlogloss:0.574969 eval-mlogloss:0.596869
[160] train-mlogloss:0.574290 eval-mlogloss:0.596386
[161] train-mlogloss:0.573607 eval-mlogloss:0.595868
[162] train-mlogloss:0.572966 eval-mlogloss:0.595312
[163] train-mlogloss:0.572290 eval-mlogloss:0.594808
[164] train-mlogloss:0.571617 eval-mlogloss:0.594128
[165] train-mlogloss:0.570929 eval-mlogloss:0.593664
[166] train-mlogloss:0.570352 eval-mlogloss:0.593250
[167] train-mlogloss:0.569761 eval-mlogloss:0.592747
[168] train-mlogloss:0.569158 eval-mlogloss:0.592104
[169] train-mlogloss:0.568585 eval-mlogloss:0.591504
[170] train-mlogloss:0.567976 eval-mlogloss:0.590962
[171] train-mlogloss:0.567429 eval-mlogloss:0.590618
[172] train-mlogloss:0.566847 eval-mlogloss:0.590124
[173] train-mlogloss:0.566332 eval-mlogloss:0.589727
[174] train-mlogloss:0.565778 eval-mlogloss:0.589238
[175] train-mlogloss:0.565293 eval-mlogloss:0.588877
[176] train-mlogloss:0.564766 eval-mlogloss:0.588481
[177] train-mlogloss:0.564151 eval-mlogloss:0.588201
[178] train-mlogloss:0.563558 eval-mlogloss:0.587706
[179] train-mlogloss:0.563046 eval-mlogloss:0.587371
[180] train-mlogloss:0.562482 eval-mlogloss:0.586905
[181] train-mlogloss:0.561938 eval-mlogloss:0.586557
[182] train-mlogloss:0.561482 eval-mlogloss:0.586175
[183] train-mlogloss:0.560904 eval-mlogloss:0.585689
[184] train-mlogloss:0.560373 eval-mlogloss:0.585287
[185] train-mlogloss:0.559879 eval-mlogloss:0.584915
[186] train-mlogloss:0.559345 eval-mlogloss:0.584516
[187] train-mlogloss:0.558842 eval-mlogloss:0.584145
[188] train-mlogloss:0.558269 eval-mlogloss:0.583593
[189] train-mlogloss:0.557820 eval-mlogloss:0.583205
[190] train-mlogloss:0.557384 eval-mlogloss:0.582938
[191] train-mlogloss:0.556910 eval-mlogloss:0.582686
[192] train-mlogloss:0.556463 eval-mlogloss:0.582372
[193] train-mlogloss:0.555906 eval-mlogloss:0.581886
[194] train-mlogloss:0.555450 eval-mlogloss:0.581590
[195] train-mlogloss:0.554939 eval-mlogloss:0.581186
[196] train-mlogloss:0.554454 eval-mlogloss:0.580738
[197] train-mlogloss:0.554073 eval-mlogloss:0.580409
[198] train-mlogloss:0.553642 eval-mlogloss:0.579976
[199] train-mlogloss:0.553157 eval-mlogloss:0.579635
[200] train-mlogloss:0.552642 eval-mlogloss:0.579447
[201] train-mlogloss:0.552214 eval-mlogloss:0.579195
[202] train-mlogloss:0.551697 eval-mlogloss:0.578865
[203] train-mlogloss:0.551292 eval-mlogloss:0.578526
[204] train-mlogloss:0.550863 eval-mlogloss:0.578246
[205] train-mlogloss:0.550393 eval-mlogloss:0.577897
[206] train-mlogloss:0.549977 eval-mlogloss:0.577643
[207] train-mlogloss:0.549494 eval-mlogloss:0.577376
[208] train-mlogloss:0.548942 eval-mlogloss:0.576889
[209] train-mlogloss:0.548537 eval-mlogloss:0.576639
[210] train-mlogloss:0.548085 eval-mlogloss:0.576341
[211] train-mlogloss:0.547658 eval-mlogloss:0.576034
[212] train-mlogloss:0.547237 eval-mlogloss:0.575791
[213] train-mlogloss:0.546826 eval-mlogloss:0.575460
[214] train-mlogloss:0.546389 eval-mlogloss:0.575137
[215] train-mlogloss:0.545854 eval-mlogloss:0.574709
[216] train-mlogloss:0.545386 eval-mlogloss:0.574331
[217] train-mlogloss:0.545002 eval-mlogloss:0.574127
[218] train-mlogloss:0.544495 eval-mlogloss:0.573725
[219] train-mlogloss:0.544126 eval-mlogloss:0.573538
[220] train-mlogloss:0.543593 eval-mlogloss:0.572995
[221] train-mlogloss:0.543204 eval-mlogloss:0.572711
[222] train-mlogloss:0.542728 eval-mlogloss:0.572359
[223] train-mlogloss:0.542337 eval-mlogloss:0.572008
[224] train-mlogloss:0.541949 eval-mlogloss:0.571737
[225] train-mlogloss:0.541581 eval-mlogloss:0.571469
[226] train-mlogloss:0.541180 eval-mlogloss:0.571222
[227] train-mlogloss:0.540761 eval-mlogloss:0.570909
[228] train-mlogloss:0.540339 eval-mlogloss:0.570653
[229] train-mlogloss:0.539906 eval-mlogloss:0.570299
[230] train-mlogloss:0.539500 eval-mlogloss:0.570061
[231] train-mlogloss:0.539056 eval-mlogloss:0.569781
[232] train-mlogloss:0.538564 eval-mlogloss:0.569473
[233] train-mlogloss:0.538155 eval-mlogloss:0.569126
[234] train-mlogloss:0.537745 eval-mlogloss:0.568817
[235] train-mlogloss:0.537299 eval-mlogloss:0.568468
[236] train-mlogloss:0.536872 eval-mlogloss:0.568189
[237] train-mlogloss:0.536416 eval-mlogloss:0.567914
[238] train-mlogloss:0.536060 eval-mlogloss:0.567687
[239] train-mlogloss:0.535685 eval-mlogloss:0.567360
[240] train-mlogloss:0.535316 eval-mlogloss:0.567146
[241] train-mlogloss:0.534906 eval-mlogloss:0.566718
[242] train-mlogloss:0.534589 eval-mlogloss:0.566516
[243] train-mlogloss:0.534169 eval-mlogloss:0.566268
[244] train-mlogloss:0.533876 eval-mlogloss:0.566051
[245] train-mlogloss:0.533539 eval-mlogloss:0.565870
[246] train-mlogloss:0.533114 eval-mlogloss:0.565439
[247] train-mlogloss:0.532721 eval-mlogloss:0.565220
[248] train-mlogloss:0.532312 eval-mlogloss:0.564902
[249] train-mlogloss:0.531984 eval-mlogloss:0.564710
[250] train-mlogloss:0.531681 eval-mlogloss:0.564472
[251] train-mlogloss:0.531325 eval-mlogloss:0.564230
[252] train-mlogloss:0.530939 eval-mlogloss:0.563973
[253] train-mlogloss:0.530589 eval-mlogloss:0.563608
[254] train-mlogloss:0.530251 eval-mlogloss:0.563378
[255] train-mlogloss:0.529916 eval-mlogloss:0.563203
[256] train-mlogloss:0.529534 eval-mlogloss:0.563051
[257] train-mlogloss:0.529170 eval-mlogloss:0.562756
[258] train-mlogloss:0.528760 eval-mlogloss:0.562600
[259] train-mlogloss:0.528417 eval-mlogloss:0.562322
[260] train-mlogloss:0.528109 eval-mlogloss:0.562098
[261] train-mlogloss:0.527687 eval-mlogloss:0.561799
[262] train-mlogloss:0.527465 eval-mlogloss:0.561672
[263] train-mlogloss:0.527144 eval-mlogloss:0.561448
[264] train-mlogloss:0.526779 eval-mlogloss:0.561132
[265] train-mlogloss:0.526438 eval-mlogloss:0.560915
[266] train-mlogloss:0.526049 eval-mlogloss:0.560665
[267] train-mlogloss:0.525670 eval-mlogloss:0.560396
[268] train-mlogloss:0.525375 eval-mlogloss:0.560192
[269] train-mlogloss:0.525009 eval-mlogloss:0.559862
[270] train-mlogloss:0.524648 eval-mlogloss:0.559597
[271] train-mlogloss:0.524276 eval-mlogloss:0.559384
[272] train-mlogloss:0.523894 eval-mlogloss:0.559014
[273] train-mlogloss:0.523612 eval-mlogloss:0.558848
[274] train-mlogloss:0.523254 eval-mlogloss:0.558585
[275] train-mlogloss:0.522917 eval-mlogloss:0.558434
[276] train-mlogloss:0.522583 eval-mlogloss:0.558264
[277] train-mlogloss:0.522249 eval-mlogloss:0.558105
[278] train-mlogloss:0.521902 eval-mlogloss:0.557835
[279] train-mlogloss:0.521627 eval-mlogloss:0.557676
[280] train-mlogloss:0.521280 eval-mlogloss:0.557526
[281] train-mlogloss:0.520917 eval-mlogloss:0.557347
[282] train-mlogloss:0.520599 eval-mlogloss:0.557175
[283] train-mlogloss:0.520313 eval-mlogloss:0.556977
[284] train-mlogloss:0.520013 eval-mlogloss:0.556876
[285] train-mlogloss:0.519648 eval-mlogloss:0.556531
[286] train-mlogloss:0.519261 eval-mlogloss:0.556239
[287] train-mlogloss:0.518973 eval-mlogloss:0.556092
[288] train-mlogloss:0.518643 eval-mlogloss:0.555905
[289] train-mlogloss:0.518357 eval-mlogloss:0.555735
[290] train-mlogloss:0.518073 eval-mlogloss:0.555533
[291] train-mlogloss:0.517771 eval-mlogloss:0.555361
[292] train-mlogloss:0.517438 eval-mlogloss:0.555160
[293] train-mlogloss:0.517210 eval-mlogloss:0.555052
[294] train-mlogloss:0.516919 eval-mlogloss:0.554880
[295] train-mlogloss:0.516600 eval-mlogloss:0.554678
[296] train-mlogloss:0.516280 eval-mlogloss:0.554453
[297] train-mlogloss:0.516003 eval-mlogloss:0.554188
[298] train-mlogloss:0.515699 eval-mlogloss:0.553976
[299] train-mlogloss:0.515423 eval-mlogloss:0.553751
[300] train-mlogloss:0.515147 eval-mlogloss:0.553626
[301] train-mlogloss:0.514831 eval-mlogloss:0.553264
[302] train-mlogloss:0.514565 eval-mlogloss:0.553060
[303] train-mlogloss:0.514214 eval-mlogloss:0.552752
[304] train-mlogloss:0.513943 eval-mlogloss:0.552606
[305] train-mlogloss:0.513632 eval-mlogloss:0.552384
[306] train-mlogloss:0.513420 eval-mlogloss:0.552269
[307] train-mlogloss:0.513117 eval-mlogloss:0.552059
[308] train-mlogloss:0.512858 eval-mlogloss:0.551927
[309] train-mlogloss:0.512542 eval-mlogloss:0.551722
[310] train-mlogloss:0.512254 eval-mlogloss:0.551440
[311] train-mlogloss:0.512000 eval-mlogloss:0.551286
[312] train-mlogloss:0.511710 eval-mlogloss:0.551001
[313] train-mlogloss:0.511454 eval-mlogloss:0.550812
[314] train-mlogloss:0.511257 eval-mlogloss:0.550636
[315] train-mlogloss:0.510955 eval-mlogloss:0.550495
[316] train-mlogloss:0.510672 eval-mlogloss:0.550295
[317] train-mlogloss:0.510465 eval-mlogloss:0.550108
[318] train-mlogloss:0.510161 eval-mlogloss:0.549914
[319] train-mlogloss:0.509924 eval-mlogloss:0.549784
[320] train-mlogloss:0.509699 eval-mlogloss:0.549637
[321] train-mlogloss:0.509425 eval-mlogloss:0.549493
[322] train-mlogloss:0.509142 eval-mlogloss:0.549380
[323] train-mlogloss:0.508930 eval-mlogloss:0.549251
[324] train-mlogloss:0.508694 eval-mlogloss:0.549120
[325] train-mlogloss:0.508456 eval-mlogloss:0.548964
[326] train-mlogloss:0.508182 eval-mlogloss:0.548793
[327] train-mlogloss:0.507939 eval-mlogloss:0.548642
[328] train-mlogloss:0.507647 eval-mlogloss:0.548389
[329] train-mlogloss:0.507426 eval-mlogloss:0.548204
[330] train-mlogloss:0.507212 eval-mlogloss:0.548005
[331] train-mlogloss:0.506907 eval-mlogloss:0.547843
[332] train-mlogloss:0.506662 eval-mlogloss:0.547696
[333] train-mlogloss:0.506411 eval-mlogloss:0.547582
[334] train-mlogloss:0.506183 eval-mlogloss:0.547567
[335] train-mlogloss:0.505929 eval-mlogloss:0.547361
[336] train-mlogloss:0.505675 eval-mlogloss:0.547165
[337] train-mlogloss:0.505356 eval-mlogloss:0.546950
[338] train-mlogloss:0.505079 eval-mlogloss:0.546705
[339] train-mlogloss:0.504872 eval-mlogloss:0.546512
[340] train-mlogloss:0.504577 eval-mlogloss:0.546348
[341] train-mlogloss:0.504302 eval-mlogloss:0.546162
[342] train-mlogloss:0.504029 eval-mlogloss:0.545869
[343] train-mlogloss:0.503800 eval-mlogloss:0.545712
[344] train-mlogloss:0.503575 eval-mlogloss:0.545642
[345] train-mlogloss:0.503334 eval-mlogloss:0.545561
[346] train-mlogloss:0.503047 eval-mlogloss:0.545448
[347] train-mlogloss:0.502764 eval-mlogloss:0.545348
[348] train-mlogloss:0.502551 eval-mlogloss:0.545167
[349] train-mlogloss:0.502355 eval-mlogloss:0.545054
[350] train-mlogloss:0.502062 eval-mlogloss:0.544924
[351] train-mlogloss:0.501750 eval-mlogloss:0.544675
[352] train-mlogloss:0.501468 eval-mlogloss:0.544484
[353] train-mlogloss:0.501199 eval-mlogloss:0.544349
[354] train-mlogloss:0.500925 eval-mlogloss:0.544227
[355] train-mlogloss:0.500717 eval-mlogloss:0.544131
[356] train-mlogloss:0.500493 eval-mlogloss:0.544018
[357] train-mlogloss:0.500238 eval-mlogloss:0.543906
[358] train-mlogloss:0.500003 eval-mlogloss:0.543729
[359] train-mlogloss:0.499747 eval-mlogloss:0.543474
[360] train-mlogloss:0.499498 eval-mlogloss:0.543283
[361] train-mlogloss:0.499175 eval-mlogloss:0.543115
[362] train-mlogloss:0.498936 eval-mlogloss:0.543009
[363] train-mlogloss:0.498699 eval-mlogloss:0.542862
[364] train-mlogloss:0.498536 eval-mlogloss:0.542780
[365] train-mlogloss:0.498302 eval-mlogloss:0.542614
[366] train-mlogloss:0.498055 eval-mlogloss:0.542539
[367] train-mlogloss:0.497776 eval-mlogloss:0.542364
[368] train-mlogloss:0.497521 eval-mlogloss:0.542283
[369] train-mlogloss:0.497283 eval-mlogloss:0.542133
[370] train-mlogloss:0.497076 eval-mlogloss:0.541998
[371] train-mlogloss:0.496869 eval-mlogloss:0.541913
[372] train-mlogloss:0.496639 eval-mlogloss:0.541698
[373] train-mlogloss:0.496445 eval-mlogloss:0.541566
[374] train-mlogloss:0.496254 eval-mlogloss:0.541447
[375] train-mlogloss:0.496087 eval-mlogloss:0.541241
[376] train-mlogloss:0.495874 eval-mlogloss:0.541166
[377] train-mlogloss:0.495675 eval-mlogloss:0.540999
[378] train-mlogloss:0.495482 eval-mlogloss:0.540889
[379] train-mlogloss:0.495223 eval-mlogloss:0.540745
[380] train-mlogloss:0.495014 eval-mlogloss:0.540615
[381] train-mlogloss:0.494785 eval-mlogloss:0.540420
[382] train-mlogloss:0.494566 eval-mlogloss:0.540335
[383] train-mlogloss:0.494335 eval-mlogloss:0.540228
[384] train-mlogloss:0.494081 eval-mlogloss:0.540079
[385] train-mlogloss:0.493877 eval-mlogloss:0.540041
[386] train-mlogloss:0.493617 eval-mlogloss:0.539918
[387] train-mlogloss:0.493277 eval-mlogloss:0.539740
[388] train-mlogloss:0.493064 eval-mlogloss:0.539621
[389] train-mlogloss:0.492848 eval-mlogloss:0.539466
[390] train-mlogloss:0.492610 eval-mlogloss:0.539277
[391] train-mlogloss:0.492331 eval-mlogloss:0.539042
[392] train-mlogloss:0.492124 eval-mlogloss:0.538954
[393] train-mlogloss:0.491894 eval-mlogloss:0.538861
[394] train-mlogloss:0.491675 eval-mlogloss:0.538748
[395] train-mlogloss:0.491440 eval-mlogloss:0.538625
[396] train-mlogloss:0.491211 eval-mlogloss:0.538372
[397] train-mlogloss:0.490982 eval-mlogloss:0.538231
[398] train-mlogloss:0.490795 eval-mlogloss:0.538182
[399] train-mlogloss:0.490585 eval-mlogloss:0.538066
[400] train-mlogloss:0.490403 eval-mlogloss:0.537972
[401] train-mlogloss:0.490199 eval-mlogloss:0.537907
[402] train-mlogloss:0.490033 eval-mlogloss:0.537769
[403] train-mlogloss:0.489857 eval-mlogloss:0.537639
[404] train-mlogloss:0.489657 eval-mlogloss:0.537466
[405] train-mlogloss:0.489425 eval-mlogloss:0.537347
[406] train-mlogloss:0.489235 eval-mlogloss:0.537299
[407] train-mlogloss:0.489052 eval-mlogloss:0.537189
[408] train-mlogloss:0.488859 eval-mlogloss:0.537058
[409] train-mlogloss:0.488655 eval-mlogloss:0.536998
[410] train-mlogloss:0.488471 eval-mlogloss:0.537011
[411] train-mlogloss:0.488263 eval-mlogloss:0.536855
[412] train-mlogloss:0.488005 eval-mlogloss:0.536726
[413] train-mlogloss:0.487803 eval-mlogloss:0.536678
[414] train-mlogloss:0.487651 eval-mlogloss:0.536648
[415] train-mlogloss:0.487495 eval-mlogloss:0.536525
[416] train-mlogloss:0.487335 eval-mlogloss:0.536417
[417] train-mlogloss:0.487187 eval-mlogloss:0.536365
[418] train-mlogloss:0.486972 eval-mlogloss:0.536234
[419] train-mlogloss:0.486768 eval-mlogloss:0.536161
[420] train-mlogloss:0.486591 eval-mlogloss:0.536111
[421] train-mlogloss:0.486405 eval-mlogloss:0.536054
[422] train-mlogloss:0.486242 eval-mlogloss:0.535974
[423] train-mlogloss:0.485995 eval-mlogloss:0.535807
[424] train-mlogloss:0.485807 eval-mlogloss:0.535654
[425] train-mlogloss:0.485647 eval-mlogloss:0.535542
[426] train-mlogloss:0.485467 eval-mlogloss:0.535500
[427] train-mlogloss:0.485316 eval-mlogloss:0.535388
[428] train-mlogloss:0.485092 eval-mlogloss:0.535304
[429] train-mlogloss:0.484872 eval-mlogloss:0.535152
[430] train-mlogloss:0.484721 eval-mlogloss:0.535073
[431] train-mlogloss:0.484491 eval-mlogloss:0.534964
[432] train-mlogloss:0.484339 eval-mlogloss:0.534974
[433] train-mlogloss:0.484141 eval-mlogloss:0.534803
[434] train-mlogloss:0.483914 eval-mlogloss:0.534711
[435] train-mlogloss:0.483727 eval-mlogloss:0.534606
[436] train-mlogloss:0.483582 eval-mlogloss:0.534458
[437] train-mlogloss:0.483370 eval-mlogloss:0.534323
[438] train-mlogloss:0.483123 eval-mlogloss:0.534195
[439] train-mlogloss:0.482949 eval-mlogloss:0.533985
[440] train-mlogloss:0.482753 eval-mlogloss:0.533946
[441] train-mlogloss:0.482569 eval-mlogloss:0.533852
[442] train-mlogloss:0.482331 eval-mlogloss:0.533676
[443] train-mlogloss:0.482100 eval-mlogloss:0.533588
[444] train-mlogloss:0.481930 eval-mlogloss:0.533480
[445] train-mlogloss:0.481703 eval-mlogloss:0.533312
[446] train-mlogloss:0.481520 eval-mlogloss:0.533211
[447] train-mlogloss:0.481230 eval-mlogloss:0.532991
[448] train-mlogloss:0.481049 eval-mlogloss:0.532868
[449] train-mlogloss:0.480878 eval-mlogloss:0.532772
[450] train-mlogloss:0.480687 eval-mlogloss:0.532703
[451] train-mlogloss:0.480472 eval-mlogloss:0.532504
[452] train-mlogloss:0.480301 eval-mlogloss:0.532395
[453] train-mlogloss:0.480149 eval-mlogloss:0.532219
[454] train-mlogloss:0.480019 eval-mlogloss:0.532165
[455] train-mlogloss:0.479804 eval-mlogloss:0.532132
[456] train-mlogloss:0.479650 eval-mlogloss:0.532118
[457] train-mlogloss:0.479481 eval-mlogloss:0.532085
[458] train-mlogloss:0.479290 eval-mlogloss:0.531948
[459] train-mlogloss:0.479097 eval-mlogloss:0.531855
[460] train-mlogloss:0.478899 eval-mlogloss:0.531755
[461] train-mlogloss:0.478696 eval-mlogloss:0.531638
[462] train-mlogloss:0.478576 eval-mlogloss:0.531608
[463] train-mlogloss:0.478385 eval-mlogloss:0.531531
[464] train-mlogloss:0.478193 eval-mlogloss:0.531466
[465] train-mlogloss:0.478039 eval-mlogloss:0.531490
[466] train-mlogloss:0.477847 eval-mlogloss:0.531470
[467] train-mlogloss:0.477655 eval-mlogloss:0.531393
[468] train-mlogloss:0.477492 eval-mlogloss:0.531288
[469] train-mlogloss:0.477272 eval-mlogloss:0.531125
[470] train-mlogloss:0.477125 eval-mlogloss:0.531099
[471] train-mlogloss:0.476936 eval-mlogloss:0.531055
[472] train-mlogloss:0.476773 eval-mlogloss:0.530967
[473] train-mlogloss:0.476617 eval-mlogloss:0.530922
[474] train-mlogloss:0.476456 eval-mlogloss:0.530774
[475] train-mlogloss:0.476230 eval-mlogloss:0.530711
[476] train-mlogloss:0.476050 eval-mlogloss:0.530623
[477] train-mlogloss:0.475845 eval-mlogloss:0.530504
[478] train-mlogloss:0.475630 eval-mlogloss:0.530471
[479] train-mlogloss:0.475439 eval-mlogloss:0.530306
[480] train-mlogloss:0.475230 eval-mlogloss:0.530255
[481] train-mlogloss:0.475038 eval-mlogloss:0.530204
[482] train-mlogloss:0.474862 eval-mlogloss:0.530171
[483] train-mlogloss:0.474691 eval-mlogloss:0.530094
[484] train-mlogloss:0.474460 eval-mlogloss:0.529947
[485] train-mlogloss:0.474299 eval-mlogloss:0.529804
[486] train-mlogloss:0.474149 eval-mlogloss:0.529764
[487] train-mlogloss:0.473878 eval-mlogloss:0.529579
[488] train-mlogloss:0.473724 eval-mlogloss:0.529509
[489] train-mlogloss:0.473578 eval-mlogloss:0.529384
[490] train-mlogloss:0.473413 eval-mlogloss:0.529237
[491] train-mlogloss:0.473226 eval-mlogloss:0.529129
[492] train-mlogloss:0.473045 eval-mlogloss:0.529100
[493] train-mlogloss:0.472928 eval-mlogloss:0.529075
[494] train-mlogloss:0.472731 eval-mlogloss:0.529055
[495] train-mlogloss:0.472584 eval-mlogloss:0.528992
[496] train-mlogloss:0.472410 eval-mlogloss:0.528866
[497] train-mlogloss:0.472233 eval-mlogloss:0.528870
[498] train-mlogloss:0.472044 eval-mlogloss:0.528901
[499] train-mlogloss:0.471828 eval-mlogloss:0.528755
[500] train-mlogloss:0.471682 eval-mlogloss:0.528644
[501] train-mlogloss:0.471498 eval-mlogloss:0.528509
[502] train-mlogloss:0.471297 eval-mlogloss:0.528290
[503] train-mlogloss:0.471127 eval-mlogloss:0.528218
[504] train-mlogloss:0.470986 eval-mlogloss:0.528164
[505] train-mlogloss:0.470857 eval-mlogloss:0.528115
[506] train-mlogloss:0.470685 eval-mlogloss:0.528061
[507] train-mlogloss:0.470469 eval-mlogloss:0.528008
[508] train-mlogloss:0.470312 eval-mlogloss:0.527973
[509] train-mlogloss:0.470108 eval-mlogloss:0.527812
[510] train-mlogloss:0.470002 eval-mlogloss:0.527742
[511] train-mlogloss:0.469872 eval-mlogloss:0.527682
[512] train-mlogloss:0.469715 eval-mlogloss:0.527767
[513] train-mlogloss:0.469558 eval-mlogloss:0.527676
[514] train-mlogloss:0.469371 eval-mlogloss:0.527590
[515] train-mlogloss:0.469197 eval-mlogloss:0.527470
[516] train-mlogloss:0.468994 eval-mlogloss:0.527354
[517] train-mlogloss:0.468812 eval-mlogloss:0.527224
[518] train-mlogloss:0.468681 eval-mlogloss:0.527212
[519] train-mlogloss:0.468535 eval-mlogloss:0.527155
[520] train-mlogloss:0.468332 eval-mlogloss:0.526873
[521] train-mlogloss:0.468160 eval-mlogloss:0.526797
[522] train-mlogloss:0.468000 eval-mlogloss:0.526805
[523] train-mlogloss:0.467849 eval-mlogloss:0.526737
[524] train-mlogloss:0.467702 eval-mlogloss:0.526697
[525] train-mlogloss:0.467574 eval-mlogloss:0.526642
[526] train-mlogloss:0.467432 eval-mlogloss:0.526584
[527] train-mlogloss:0.467271 eval-mlogloss:0.526513
[528] train-mlogloss:0.467105 eval-mlogloss:0.526391
[529] train-mlogloss:0.466913 eval-mlogloss:0.526270
[530] train-mlogloss:0.466828 eval-mlogloss:0.526212
[531] train-mlogloss:0.466662 eval-mlogloss:0.526122
[532] train-mlogloss:0.466517 eval-mlogloss:0.526002
[533] train-mlogloss:0.466324 eval-mlogloss:0.525996
[534] train-mlogloss:0.466163 eval-mlogloss:0.525883
[535] train-mlogloss:0.466026 eval-mlogloss:0.525763
[536] train-mlogloss:0.465849 eval-mlogloss:0.525698
[537] train-mlogloss:0.465670 eval-mlogloss:0.525585
[538] train-mlogloss:0.465519 eval-mlogloss:0.525515
[539] train-mlogloss:0.465373 eval-mlogloss:0.525426
[540] train-mlogloss:0.465183 eval-mlogloss:0.525339
[541] train-mlogloss:0.465059 eval-mlogloss:0.525316
[542] train-mlogloss:0.464900 eval-mlogloss:0.525212
[543] train-mlogloss:0.464737 eval-mlogloss:0.525133
[544] train-mlogloss:0.464626 eval-mlogloss:0.525078
[545] train-mlogloss:0.464459 eval-mlogloss:0.525068
[546] train-mlogloss:0.464325 eval-mlogloss:0.525025
[547] train-mlogloss:0.464162 eval-mlogloss:0.524943
[548] train-mlogloss:0.463971 eval-mlogloss:0.524874
[549] train-mlogloss:0.463814 eval-mlogloss:0.524837
[550] train-mlogloss:0.463676 eval-mlogloss:0.524733
[551] train-mlogloss:0.463564 eval-mlogloss:0.524717
[552] train-mlogloss:0.463464 eval-mlogloss:0.524644
[553] train-mlogloss:0.463340 eval-mlogloss:0.524567
[554] train-mlogloss:0.463191 eval-mlogloss:0.524551
[555] train-mlogloss:0.463085 eval-mlogloss:0.524479
[556] train-mlogloss:0.462924 eval-mlogloss:0.524356
[557] train-mlogloss:0.462819 eval-mlogloss:0.524349
[558] train-mlogloss:0.462681 eval-mlogloss:0.524354
[559] train-mlogloss:0.462528 eval-mlogloss:0.524249
[560] train-mlogloss:0.462371 eval-mlogloss:0.524137
[561] train-mlogloss:0.462228 eval-mlogloss:0.524113
[562] train-mlogloss:0.462047 eval-mlogloss:0.524010
[563] train-mlogloss:0.461839 eval-mlogloss:0.523988
[564] train-mlogloss:0.461696 eval-mlogloss:0.523895
[565] train-mlogloss:0.461508 eval-mlogloss:0.523853
[566] train-mlogloss:0.461389 eval-mlogloss:0.523793
[567] train-mlogloss:0.461217 eval-mlogloss:0.523838
[568] train-mlogloss:0.461092 eval-mlogloss:0.523813
[569] train-mlogloss:0.460953 eval-mlogloss:0.523789
[570] train-mlogloss:0.460800 eval-mlogloss:0.523775
[571] train-mlogloss:0.460650 eval-mlogloss:0.523680
[572] train-mlogloss:0.460505 eval-mlogloss:0.523584
[573] train-mlogloss:0.460366 eval-mlogloss:0.523539
[574] train-mlogloss:0.460204 eval-mlogloss:0.523486
[575] train-mlogloss:0.460020 eval-mlogloss:0.523358
[576] train-mlogloss:0.459846 eval-mlogloss:0.523373
[577] train-mlogloss:0.459710 eval-mlogloss:0.523337
[578] train-mlogloss:0.459533 eval-mlogloss:0.523264
[579] train-mlogloss:0.459409 eval-mlogloss:0.523208
[580] train-mlogloss:0.459228 eval-mlogloss:0.523146
[581] train-mlogloss:0.459066 eval-mlogloss:0.523066
[582] train-mlogloss:0.458892 eval-mlogloss:0.523027
[583] train-mlogloss:0.458805 eval-mlogloss:0.523038
[584] train-mlogloss:0.458599 eval-mlogloss:0.522890
[585] train-mlogloss:0.458426 eval-mlogloss:0.522780
[586] train-mlogloss:0.458230 eval-mlogloss:0.522693
[587] train-mlogloss:0.458110 eval-mlogloss:0.522630
[588] train-mlogloss:0.458043 eval-mlogloss:0.522600
[589] train-mlogloss:0.457867 eval-mlogloss:0.522546
[590] train-mlogloss:0.457723 eval-mlogloss:0.522462
[591] train-mlogloss:0.457602 eval-mlogloss:0.522446
[592] train-mlogloss:0.457437 eval-mlogloss:0.522382
[593] train-mlogloss:0.457267 eval-mlogloss:0.522323
[594] train-mlogloss:0.457126 eval-mlogloss:0.522177
[595] train-mlogloss:0.457039 eval-mlogloss:0.522128
[596] train-mlogloss:0.456890 eval-mlogloss:0.522018
[597] train-mlogloss:0.456782 eval-mlogloss:0.521964
[598] train-mlogloss:0.456668 eval-mlogloss:0.521833
[599] train-mlogloss:0.456474 eval-mlogloss:0.521714
[600] train-mlogloss:0.456354 eval-mlogloss:0.521649
[601] train-mlogloss:0.456153 eval-mlogloss:0.521593
[602] train-mlogloss:0.456039 eval-mlogloss:0.521564
[603] train-mlogloss:0.455861 eval-mlogloss:0.521509
[604] train-mlogloss:0.455741 eval-mlogloss:0.521374
[605] train-mlogloss:0.455625 eval-mlogloss:0.521349
[606] train-mlogloss:0.455520 eval-mlogloss:0.521283
[607] train-mlogloss:0.455386 eval-mlogloss:0.521235
[608] train-mlogloss:0.455218 eval-mlogloss:0.521180
[609] train-mlogloss:0.455077 eval-mlogloss:0.521092
[610] train-mlogloss:0.454946 eval-mlogloss:0.521015
[611] train-mlogloss:0.454859 eval-mlogloss:0.520993
[612] train-mlogloss:0.454686 eval-mlogloss:0.520850
[613] train-mlogloss:0.454596 eval-mlogloss:0.520768
[614] train-mlogloss:0.454452 eval-mlogloss:0.520706
[615] train-mlogloss:0.454379 eval-mlogloss:0.520656
[616] train-mlogloss:0.454252 eval-mlogloss:0.520524
[617] train-mlogloss:0.454114 eval-mlogloss:0.520382
[618] train-mlogloss:0.453973 eval-mlogloss:0.520352
[619] train-mlogloss:0.453853 eval-mlogloss:0.520318
[620] train-mlogloss:0.453699 eval-mlogloss:0.520248
[621] train-mlogloss:0.453568 eval-mlogloss:0.520162
[622] train-mlogloss:0.453407 eval-mlogloss:0.520065
[623] train-mlogloss:0.453204 eval-mlogloss:0.519976
[624] train-mlogloss:0.453097 eval-mlogloss:0.519984
[625] train-mlogloss:0.452975 eval-mlogloss:0.519895
[626] train-mlogloss:0.452834 eval-mlogloss:0.519879
[627] train-mlogloss:0.452654 eval-mlogloss:0.519831
[628] train-mlogloss:0.452497 eval-mlogloss:0.519700
[629] train-mlogloss:0.452396 eval-mlogloss:0.519584
[630] train-mlogloss:0.452251 eval-mlogloss:0.519462
[631] train-mlogloss:0.452105 eval-mlogloss:0.519423
[632] train-mlogloss:0.451971 eval-mlogloss:0.519403
[633] train-mlogloss:0.451843 eval-mlogloss:0.519352
[634] train-mlogloss:0.451715 eval-mlogloss:0.519282
[635] train-mlogloss:0.451570 eval-mlogloss:0.519290
[636] train-mlogloss:0.451416 eval-mlogloss:0.519226
[637] train-mlogloss:0.451275 eval-mlogloss:0.519234
[638] train-mlogloss:0.451162 eval-mlogloss:0.519292
[639] train-mlogloss:0.451044 eval-mlogloss:0.519279
[640] train-mlogloss:0.450935 eval-mlogloss:0.519258
[641] train-mlogloss:0.450823 eval-mlogloss:0.519188
[642] train-mlogloss:0.450721 eval-mlogloss:0.519157
[643] train-mlogloss:0.450545 eval-mlogloss:0.519074
[644] train-mlogloss:0.450415 eval-mlogloss:0.518974
[645] train-mlogloss:0.450265 eval-mlogloss:0.518981
[646] train-mlogloss:0.450100 eval-mlogloss:0.518883
[647] train-mlogloss:0.449978 eval-mlogloss:0.518834
[648] train-mlogloss:0.449838 eval-mlogloss:0.518795
[649] train-mlogloss:0.449723 eval-mlogloss:0.518718
[650] train-mlogloss:0.449601 eval-mlogloss:0.518622
[651] train-mlogloss:0.449422 eval-mlogloss:0.518568
[652] train-mlogloss:0.449271 eval-mlogloss:0.518483
[653] train-mlogloss:0.449128 eval-mlogloss:0.518364
[654] train-mlogloss:0.449003 eval-mlogloss:0.518330
[655] train-mlogloss:0.448893 eval-mlogloss:0.518256
[656] train-mlogloss:0.448732 eval-mlogloss:0.518181
[657] train-mlogloss:0.448586 eval-mlogloss:0.518156
[658] train-mlogloss:0.448476 eval-mlogloss:0.518138
[659] train-mlogloss:0.448313 eval-mlogloss:0.518101
[660] train-mlogloss:0.448153 eval-mlogloss:0.518050
[661] train-mlogloss:0.448004 eval-mlogloss:0.518054
[662] train-mlogloss:0.447911 eval-mlogloss:0.518027
[663] train-mlogloss:0.447773 eval-mlogloss:0.518022
[664] train-mlogloss:0.447660 eval-mlogloss:0.517995
[665] train-mlogloss:0.447547 eval-mlogloss:0.517910
[666] train-mlogloss:0.447424 eval-mlogloss:0.517821
[667] train-mlogloss:0.447306 eval-mlogloss:0.517704
[668] train-mlogloss:0.447165 eval-mlogloss:0.517688
[669] train-mlogloss:0.447058 eval-mlogloss:0.517659
[670] train-mlogloss:0.446976 eval-mlogloss:0.517595
[671] train-mlogloss:0.446870 eval-mlogloss:0.517522
[672] train-mlogloss:0.446749 eval-mlogloss:0.517476
[673] train-mlogloss:0.446648 eval-mlogloss:0.517430
[674] train-mlogloss:0.446532 eval-mlogloss:0.517420
[675] train-mlogloss:0.446411 eval-mlogloss:0.517331
[676] train-mlogloss:0.446253 eval-mlogloss:0.517294
[677] train-mlogloss:0.446121 eval-mlogloss:0.517242
[678] train-mlogloss:0.445989 eval-mlogloss:0.517160
[679] train-mlogloss:0.445905 eval-mlogloss:0.517165
[680] train-mlogloss:0.445811 eval-mlogloss:0.517116
[681] train-mlogloss:0.445678 eval-mlogloss:0.517076
[682] train-mlogloss:0.445571 eval-mlogloss:0.517034
[683] train-mlogloss:0.445440 eval-mlogloss:0.517002
[684] train-mlogloss:0.445327 eval-mlogloss:0.517036
[685] train-mlogloss:0.445236 eval-mlogloss:0.516998
[686] train-mlogloss:0.445157 eval-mlogloss:0.516966
[687] train-mlogloss:0.445069 eval-mlogloss:0.516945
[688] train-mlogloss:0.444943 eval-mlogloss:0.516909
[689] train-mlogloss:0.444757 eval-mlogloss:0.516775
[690] train-mlogloss:0.444695 eval-mlogloss:0.516809
[691] train-mlogloss:0.444566 eval-mlogloss:0.516779
[692] train-mlogloss:0.444456 eval-mlogloss:0.516717
[693] train-mlogloss:0.444349 eval-mlogloss:0.516655
[694] train-mlogloss:0.444203 eval-mlogloss:0.516590
[695] train-mlogloss:0.444098 eval-mlogloss:0.516511
[696] train-mlogloss:0.444034 eval-mlogloss:0.516475
[697] train-mlogloss:0.443930 eval-mlogloss:0.516418
[698] train-mlogloss:0.443760 eval-mlogloss:0.516351
[699] train-mlogloss:0.443640 eval-mlogloss:0.516308
[700] train-mlogloss:0.443507 eval-mlogloss:0.516198
[701] train-mlogloss:0.443407 eval-mlogloss:0.516085
[702] train-mlogloss:0.443273 eval-mlogloss:0.516070
[703] train-mlogloss:0.443143 eval-mlogloss:0.516032
[704] train-mlogloss:0.443011 eval-mlogloss:0.515977
[705] train-mlogloss:0.442860 eval-mlogloss:0.515901
[706] train-mlogloss:0.442730 eval-mlogloss:0.515883
[707] train-mlogloss:0.442594 eval-mlogloss:0.515782
[708] train-mlogloss:0.442473 eval-mlogloss:0.515744
[709] train-mlogloss:0.442380 eval-mlogloss:0.515703
[710] train-mlogloss:0.442327 eval-mlogloss:0.515719
[711] train-mlogloss:0.442201 eval-mlogloss:0.515715
[712] train-mlogloss:0.442129 eval-mlogloss:0.515762
[713] train-mlogloss:0.442012 eval-mlogloss:0.515768
[714] train-mlogloss:0.441891 eval-mlogloss:0.515814
[715] train-mlogloss:0.441761 eval-mlogloss:0.515747
[716] train-mlogloss:0.441669 eval-mlogloss:0.515748
[717] train-mlogloss:0.441570 eval-mlogloss:0.515689
[718] train-mlogloss:0.441498 eval-mlogloss:0.515690
[719] train-mlogloss:0.441361 eval-mlogloss:0.515584
[720] train-mlogloss:0.441262 eval-mlogloss:0.515527
[721] train-mlogloss:0.441165 eval-mlogloss:0.515531
[722] train-mlogloss:0.441092 eval-mlogloss:0.515454
[723] train-mlogloss:0.440948 eval-mlogloss:0.515435
[724] train-mlogloss:0.440815 eval-mlogloss:0.515394
[725] train-mlogloss:0.440703 eval-mlogloss:0.515319
[726] train-mlogloss:0.440622 eval-mlogloss:0.515331
[727] train-mlogloss:0.440516 eval-mlogloss:0.515295
[728] train-mlogloss:0.440381 eval-mlogloss:0.515248
[729] train-mlogloss:0.440260 eval-mlogloss:0.515211
[730] train-mlogloss:0.440178 eval-mlogloss:0.515204
[731] train-mlogloss:0.440072 eval-mlogloss:0.515149
[732] train-mlogloss:0.439989 eval-mlogloss:0.515203
[733] train-mlogloss:0.439924 eval-mlogloss:0.515219
[734] train-mlogloss:0.439819 eval-mlogloss:0.515193
[735] train-mlogloss:0.439702 eval-mlogloss:0.515150
[736] train-mlogloss:0.439578 eval-mlogloss:0.515060
[737] train-mlogloss:0.439505 eval-mlogloss:0.515035
[738] train-mlogloss:0.439451 eval-mlogloss:0.515053
[739] train-mlogloss:0.439354 eval-mlogloss:0.515094
[740] train-mlogloss:0.439291 eval-mlogloss:0.515071
[741] train-mlogloss:0.439211 eval-mlogloss:0.515085
[742] train-mlogloss:0.439048 eval-mlogloss:0.514926
[743] train-mlogloss:0.438925 eval-mlogloss:0.514846
[744] train-mlogloss:0.438807 eval-mlogloss:0.514820
[745] train-mlogloss:0.438683 eval-mlogloss:0.514832
[746] train-mlogloss:0.438644 eval-mlogloss:0.514799
[747] train-mlogloss:0.438578 eval-mlogloss:0.514755
[748] train-mlogloss:0.438520 eval-mlogloss:0.514745
[749] train-mlogloss:0.438434 eval-mlogloss:0.514726
[750] train-mlogloss:0.438331 eval-mlogloss:0.514738
[751] train-mlogloss:0.438217 eval-mlogloss:0.514746
[752] train-mlogloss:0.438083 eval-mlogloss:0.514692
[753] train-mlogloss:0.437994 eval-mlogloss:0.514663
[754] train-mlogloss:0.437883 eval-mlogloss:0.514609
[755] train-mlogloss:0.437797 eval-mlogloss:0.514512
[756] train-mlogloss:0.437742 eval-mlogloss:0.514474
[757] train-mlogloss:0.437635 eval-mlogloss:0.514415
[758] train-mlogloss:0.437574 eval-mlogloss:0.514415
[759] train-mlogloss:0.437450 eval-mlogloss:0.514414
[760] train-mlogloss:0.437353 eval-mlogloss:0.514427
[761] train-mlogloss:0.437173 eval-mlogloss:0.514377
[762] train-mlogloss:0.437052 eval-mlogloss:0.514292
[763] train-mlogloss:0.436962 eval-mlogloss:0.514246
[764] train-mlogloss:0.436928 eval-mlogloss:0.514225
[765] train-mlogloss:0.436823 eval-mlogloss:0.514190
[766] train-mlogloss:0.436739 eval-mlogloss:0.514173
[767] train-mlogloss:0.436665 eval-mlogloss:0.514115
[768] train-mlogloss:0.436566 eval-mlogloss:0.514122
[769] train-mlogloss:0.436485 eval-mlogloss:0.514100
[770] train-mlogloss:0.436421 eval-mlogloss:0.514043
[771] train-mlogloss:0.436259 eval-mlogloss:0.513968
[772] train-mlogloss:0.436193 eval-mlogloss:0.513969
[773] train-mlogloss:0.436058 eval-mlogloss:0.513972
[774] train-mlogloss:0.435954 eval-mlogloss:0.513966
[775] train-mlogloss:0.435844 eval-mlogloss:0.513923
[776] train-mlogloss:0.435774 eval-mlogloss:0.513898
[777] train-mlogloss:0.435701 eval-mlogloss:0.513887
[778] train-mlogloss:0.435636 eval-mlogloss:0.513864
[779] train-mlogloss:0.435560 eval-mlogloss:0.513832
[780] train-mlogloss:0.435465 eval-mlogloss:0.513770
[781] train-mlogloss:0.435378 eval-mlogloss:0.513791
[782] train-mlogloss:0.435303 eval-mlogloss:0.513779
[783] train-mlogloss:0.435191 eval-mlogloss:0.513781
[784] train-mlogloss:0.435172 eval-mlogloss:0.513769
[785] train-mlogloss:0.435108 eval-mlogloss:0.513732
[786] train-mlogloss:0.435046 eval-mlogloss:0.513740
[787] train-mlogloss:0.434955 eval-mlogloss:0.513752
[788] train-mlogloss:0.434861 eval-mlogloss:0.513694
[789] train-mlogloss:0.434786 eval-mlogloss:0.513720
[790] train-mlogloss:0.434708 eval-mlogloss:0.513691
[791] train-mlogloss:0.434573 eval-mlogloss:0.513648
[792] train-mlogloss:0.434417 eval-mlogloss:0.513638
[793] train-mlogloss:0.434335 eval-mlogloss:0.513628
[794] train-mlogloss:0.434254 eval-mlogloss:0.513590
[795] train-mlogloss:0.434186 eval-mlogloss:0.513580
[796] train-mlogloss:0.434106 eval-mlogloss:0.513577
[797] train-mlogloss:0.433986 eval-mlogloss:0.513482
[798] train-mlogloss:0.433885 eval-mlogloss:0.513532
[799] train-mlogloss:0.433772 eval-mlogloss:0.513534
[800] train-mlogloss:0.433695 eval-mlogloss:0.513524
[801] train-mlogloss:0.433597 eval-mlogloss:0.513530
[802] train-mlogloss:0.433525 eval-mlogloss:0.513478
[803] train-mlogloss:0.433476 eval-mlogloss:0.513492
[804] train-mlogloss:0.433356 eval-mlogloss:0.513488
[805] train-mlogloss:0.433292 eval-mlogloss:0.513430
[806] train-mlogloss:0.433185 eval-mlogloss:0.513412
[807] train-mlogloss:0.433041 eval-mlogloss:0.513402
[808] train-mlogloss:0.432970 eval-mlogloss:0.513397
[809] train-mlogloss:0.432906 eval-mlogloss:0.513378
[810] train-mlogloss:0.432847 eval-mlogloss:0.513343
[811] train-mlogloss:0.432770 eval-mlogloss:0.513329
[812] train-mlogloss:0.432680 eval-mlogloss:0.513323
[813] train-mlogloss:0.432553 eval-mlogloss:0.513213
[814] train-mlogloss:0.432468 eval-mlogloss:0.513115
[815] train-mlogloss:0.432389 eval-mlogloss:0.513123
[816] train-mlogloss:0.432338 eval-mlogloss:0.513084
[817] train-mlogloss:0.432222 eval-mlogloss:0.513016
[818] train-mlogloss:0.432107 eval-mlogloss:0.512910
[819] train-mlogloss:0.432065 eval-mlogloss:0.512868
[820] train-mlogloss:0.431945 eval-mlogloss:0.512867
[821] train-mlogloss:0.431857 eval-mlogloss:0.512812
[822] train-mlogloss:0.431824 eval-mlogloss:0.512771
[823] train-mlogloss:0.431751 eval-mlogloss:0.512749
[824] train-mlogloss:0.431684 eval-mlogloss:0.512726
[825] train-mlogloss:0.431578 eval-mlogloss:0.512669
[826] train-mlogloss:0.431465 eval-mlogloss:0.512599
[827] train-mlogloss:0.431400 eval-mlogloss:0.512598
[828] train-mlogloss:0.431317 eval-mlogloss:0.512595
[829] train-mlogloss:0.431274 eval-mlogloss:0.512600
[830] train-mlogloss:0.431249 eval-mlogloss:0.512596
[831] train-mlogloss:0.431188 eval-mlogloss:0.512639
[832] train-mlogloss:0.431039 eval-mlogloss:0.512578
[833] train-mlogloss:0.430999 eval-mlogloss:0.512588
[834] train-mlogloss:0.430931 eval-mlogloss:0.512563
[835] train-mlogloss:0.430813 eval-mlogloss:0.512502
[836] train-mlogloss:0.430727 eval-mlogloss:0.512521
[837] train-mlogloss:0.430644 eval-mlogloss:0.512488
[838] train-mlogloss:0.430527 eval-mlogloss:0.512402
[839] train-mlogloss:0.430484 eval-mlogloss:0.512437
Training with params :
{'eta': 0.2, 'eval_metric': 'mlogloss', 'colsample_bytree': 1.0, 'max_depth': 2.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 840.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9500000000000001}
Score 0.5124372187314374
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.556645 eval-mlogloss:1.574993
[1] train-mlogloss:1.280155 eval-mlogloss:1.307452
[2] train-mlogloss:1.103035 eval-mlogloss:1.138541
[3] train-mlogloss:0.972779 eval-mlogloss:1.015212
[4] train-mlogloss:0.873480 eval-mlogloss:0.922726
[5] train-mlogloss:0.796026 eval-mlogloss:0.851456
[6] train-mlogloss:0.730399 eval-mlogloss:0.792350
[7] train-mlogloss:0.680680 eval-mlogloss:0.748683
[8] train-mlogloss:0.643272 eval-mlogloss:0.716300
[9] train-mlogloss:0.609566 eval-mlogloss:0.688030
[10] train-mlogloss:0.579058 eval-mlogloss:0.663196
[11] train-mlogloss:0.554382 eval-mlogloss:0.642359
[12] train-mlogloss:0.533578 eval-mlogloss:0.625460
[13] train-mlogloss:0.514865 eval-mlogloss:0.611300
[14] train-mlogloss:0.499823 eval-mlogloss:0.599853
[15] train-mlogloss:0.485922 eval-mlogloss:0.589315
[16] train-mlogloss:0.472648 eval-mlogloss:0.579769
[17] train-mlogloss:0.460762 eval-mlogloss:0.571285
[18] train-mlogloss:0.450429 eval-mlogloss:0.564514
[19] train-mlogloss:0.439416 eval-mlogloss:0.557548
[20] train-mlogloss:0.431376 eval-mlogloss:0.552576
[21] train-mlogloss:0.423922 eval-mlogloss:0.547893
[22] train-mlogloss:0.417108 eval-mlogloss:0.543867
[23] train-mlogloss:0.411222 eval-mlogloss:0.539635
[24] train-mlogloss:0.405764 eval-mlogloss:0.535616
[25] train-mlogloss:0.399848 eval-mlogloss:0.531801
[26] train-mlogloss:0.394706 eval-mlogloss:0.528180
[27] train-mlogloss:0.389216 eval-mlogloss:0.525285
[28] train-mlogloss:0.383345 eval-mlogloss:0.522083
[29] train-mlogloss:0.379191 eval-mlogloss:0.519932
[30] train-mlogloss:0.373885 eval-mlogloss:0.518204
[31] train-mlogloss:0.370010 eval-mlogloss:0.515808
[32] train-mlogloss:0.366593 eval-mlogloss:0.513968
[33] train-mlogloss:0.363512 eval-mlogloss:0.512134
[34] train-mlogloss:0.360617 eval-mlogloss:0.510437
[35] train-mlogloss:0.357236 eval-mlogloss:0.509281
[36] train-mlogloss:0.353708 eval-mlogloss:0.507358
[37] train-mlogloss:0.350150 eval-mlogloss:0.505548
[38] train-mlogloss:0.346878 eval-mlogloss:0.503912
[39] train-mlogloss:0.344249 eval-mlogloss:0.502513
[40] train-mlogloss:0.340624 eval-mlogloss:0.500991
[41] train-mlogloss:0.336640 eval-mlogloss:0.500260
[42] train-mlogloss:0.333387 eval-mlogloss:0.498726
[43] train-mlogloss:0.331441 eval-mlogloss:0.497705
[44] train-mlogloss:0.328083 eval-mlogloss:0.496204
[45] train-mlogloss:0.324771 eval-mlogloss:0.495424
[46] train-mlogloss:0.322110 eval-mlogloss:0.494765
[47] train-mlogloss:0.319473 eval-mlogloss:0.494023
[48] train-mlogloss:0.316038 eval-mlogloss:0.493469
[49] train-mlogloss:0.313413 eval-mlogloss:0.492626
[50] train-mlogloss:0.310533 eval-mlogloss:0.491499
[51] train-mlogloss:0.307451 eval-mlogloss:0.490597
[52] train-mlogloss:0.305238 eval-mlogloss:0.489836
[53] train-mlogloss:0.302528 eval-mlogloss:0.488693
[54] train-mlogloss:0.300401 eval-mlogloss:0.487785
[55] train-mlogloss:0.296987 eval-mlogloss:0.486663
[56] train-mlogloss:0.294847 eval-mlogloss:0.485707
[57] train-mlogloss:0.291307 eval-mlogloss:0.485185
[58] train-mlogloss:0.288979 eval-mlogloss:0.484922
[59] train-mlogloss:0.286917 eval-mlogloss:0.484033
[60] train-mlogloss:0.285211 eval-mlogloss:0.483784
[61] train-mlogloss:0.283585 eval-mlogloss:0.483300
[62] train-mlogloss:0.281737 eval-mlogloss:0.482793
[63] train-mlogloss:0.280076 eval-mlogloss:0.482162
[64] train-mlogloss:0.278380 eval-mlogloss:0.481775
[65] train-mlogloss:0.276683 eval-mlogloss:0.481405
[66] train-mlogloss:0.274884 eval-mlogloss:0.480739
[67] train-mlogloss:0.272660 eval-mlogloss:0.480288
[68] train-mlogloss:0.270995 eval-mlogloss:0.479811
[69] train-mlogloss:0.268774 eval-mlogloss:0.479256
[70] train-mlogloss:0.266274 eval-mlogloss:0.478795
[71] train-mlogloss:0.264257 eval-mlogloss:0.478660
[72] train-mlogloss:0.263227 eval-mlogloss:0.478440
[73] train-mlogloss:0.261794 eval-mlogloss:0.477931
[74] train-mlogloss:0.260194 eval-mlogloss:0.477960
[75] train-mlogloss:0.258442 eval-mlogloss:0.477655
[76] train-mlogloss:0.256632 eval-mlogloss:0.477375
[77] train-mlogloss:0.255131 eval-mlogloss:0.477323
[78] train-mlogloss:0.253080 eval-mlogloss:0.476403
[79] train-mlogloss:0.250947 eval-mlogloss:0.476004
[80] train-mlogloss:0.249092 eval-mlogloss:0.475714
[81] train-mlogloss:0.247643 eval-mlogloss:0.475770
[82] train-mlogloss:0.245117 eval-mlogloss:0.475471
[83] train-mlogloss:0.243419 eval-mlogloss:0.475276
[84] train-mlogloss:0.241678 eval-mlogloss:0.475092
[85] train-mlogloss:0.240004 eval-mlogloss:0.474845
[86] train-mlogloss:0.239032 eval-mlogloss:0.474985
[87] train-mlogloss:0.237572 eval-mlogloss:0.474924
[88] train-mlogloss:0.236107 eval-mlogloss:0.474800
[89] train-mlogloss:0.234355 eval-mlogloss:0.474787
[90] train-mlogloss:0.232985 eval-mlogloss:0.474473
[91] train-mlogloss:0.231221 eval-mlogloss:0.474516
[92] train-mlogloss:0.229604 eval-mlogloss:0.474269
[93] train-mlogloss:0.228431 eval-mlogloss:0.474340
[94] train-mlogloss:0.226883 eval-mlogloss:0.474395
[95] train-mlogloss:0.225511 eval-mlogloss:0.474270
[96] train-mlogloss:0.224553 eval-mlogloss:0.473930
[97] train-mlogloss:0.223444 eval-mlogloss:0.473780
[98] train-mlogloss:0.221452 eval-mlogloss:0.473437
[99] train-mlogloss:0.219886 eval-mlogloss:0.473302
[100] train-mlogloss:0.218752 eval-mlogloss:0.473064
[101] train-mlogloss:0.217624 eval-mlogloss:0.472845
[102] train-mlogloss:0.216826 eval-mlogloss:0.472651
[103] train-mlogloss:0.215630 eval-mlogloss:0.472483
[104] train-mlogloss:0.214430 eval-mlogloss:0.472344
[105] train-mlogloss:0.213000 eval-mlogloss:0.471886
[106] train-mlogloss:0.211927 eval-mlogloss:0.471948
[107] train-mlogloss:0.211234 eval-mlogloss:0.471882
[108] train-mlogloss:0.210133 eval-mlogloss:0.471689
[109] train-mlogloss:0.209195 eval-mlogloss:0.471907
[110] train-mlogloss:0.207796 eval-mlogloss:0.471819
[111] train-mlogloss:0.206827 eval-mlogloss:0.471780
[112] train-mlogloss:0.205677 eval-mlogloss:0.471834
[113] train-mlogloss:0.204601 eval-mlogloss:0.471721
[114] train-mlogloss:0.203462 eval-mlogloss:0.471500
[115] train-mlogloss:0.202759 eval-mlogloss:0.471433
[116] train-mlogloss:0.202066 eval-mlogloss:0.471491
[117] train-mlogloss:0.201035 eval-mlogloss:0.471178
[118] train-mlogloss:0.200174 eval-mlogloss:0.471236
[119] train-mlogloss:0.199201 eval-mlogloss:0.470957
[120] train-mlogloss:0.197951 eval-mlogloss:0.470880
[121] train-mlogloss:0.197258 eval-mlogloss:0.470779
[122] train-mlogloss:0.196384 eval-mlogloss:0.470818
[123] train-mlogloss:0.195693 eval-mlogloss:0.470828
[124] train-mlogloss:0.194790 eval-mlogloss:0.470586
[125] train-mlogloss:0.194178 eval-mlogloss:0.470484
[126] train-mlogloss:0.193445 eval-mlogloss:0.470444
[127] train-mlogloss:0.192510 eval-mlogloss:0.470479
[128] train-mlogloss:0.191742 eval-mlogloss:0.470517
[129] train-mlogloss:0.190909 eval-mlogloss:0.470443
[130] train-mlogloss:0.190123 eval-mlogloss:0.470388
[131] train-mlogloss:0.189602 eval-mlogloss:0.470315
[132] train-mlogloss:0.188953 eval-mlogloss:0.470314
[133] train-mlogloss:0.188061 eval-mlogloss:0.470096
[134] train-mlogloss:0.187504 eval-mlogloss:0.470128
[135] train-mlogloss:0.187153 eval-mlogloss:0.470193
[136] train-mlogloss:0.186352 eval-mlogloss:0.470123
[137] train-mlogloss:0.185627 eval-mlogloss:0.470404
[138] train-mlogloss:0.184689 eval-mlogloss:0.470315
[139] train-mlogloss:0.183863 eval-mlogloss:0.470399
[140] train-mlogloss:0.183260 eval-mlogloss:0.470360
[141] train-mlogloss:0.182593 eval-mlogloss:0.470397
[142] train-mlogloss:0.182023 eval-mlogloss:0.470587
Training with params :
{'eta': 0.325, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 8.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 151.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.75}
Score 0.4708093497471128
[143] train-mlogloss:0.181155 eval-mlogloss:0.470809
Stopping. Best iteration:
[133] train-mlogloss:0.188061 eval-mlogloss:0.470096
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.067661 eval-mlogloss:2.072323
[1] train-mlogloss:1.967490 eval-mlogloss:1.977888
[2] train-mlogloss:1.869902 eval-mlogloss:1.884920
[3] train-mlogloss:1.784113 eval-mlogloss:1.803540
[4] train-mlogloss:1.708443 eval-mlogloss:1.732563
[5] train-mlogloss:1.638818 eval-mlogloss:1.667525
[6] train-mlogloss:1.573695 eval-mlogloss:1.606286
[7] train-mlogloss:1.513641 eval-mlogloss:1.549861
[8] train-mlogloss:1.461062 eval-mlogloss:1.500980
[9] train-mlogloss:1.409355 eval-mlogloss:1.452672
[10] train-mlogloss:1.362108 eval-mlogloss:1.408196
[11] train-mlogloss:1.317629 eval-mlogloss:1.366848
[12] train-mlogloss:1.276826 eval-mlogloss:1.328919
[13] train-mlogloss:1.239172 eval-mlogloss:1.294241
[14] train-mlogloss:1.201406 eval-mlogloss:1.259420
[15] train-mlogloss:1.166245 eval-mlogloss:1.226653
[16] train-mlogloss:1.133105 eval-mlogloss:1.196159
[17] train-mlogloss:1.101728 eval-mlogloss:1.167699
[18] train-mlogloss:1.072538 eval-mlogloss:1.141124
[19] train-mlogloss:1.046074 eval-mlogloss:1.116976
[20] train-mlogloss:1.020537 eval-mlogloss:1.094041
[21] train-mlogloss:0.994531 eval-mlogloss:1.070486
[22] train-mlogloss:0.969828 eval-mlogloss:1.048173
[23] train-mlogloss:0.946755 eval-mlogloss:1.027439
[24] train-mlogloss:0.925064 eval-mlogloss:1.007968
[25] train-mlogloss:0.904086 eval-mlogloss:0.988995
[26] train-mlogloss:0.883539 eval-mlogloss:0.970603
[27] train-mlogloss:0.863761 eval-mlogloss:0.952970
[28] train-mlogloss:0.845828 eval-mlogloss:0.937048
[29] train-mlogloss:0.827734 eval-mlogloss:0.921255
[30] train-mlogloss:0.810745 eval-mlogloss:0.906565
[31] train-mlogloss:0.793898 eval-mlogloss:0.892172
[32] train-mlogloss:0.778334 eval-mlogloss:0.878605
[33] train-mlogloss:0.763669 eval-mlogloss:0.865598
[34] train-mlogloss:0.749270 eval-mlogloss:0.852778
[35] train-mlogloss:0.734977 eval-mlogloss:0.840395
[36] train-mlogloss:0.721425 eval-mlogloss:0.828563
[37] train-mlogloss:0.707717 eval-mlogloss:0.816863
[38] train-mlogloss:0.695348 eval-mlogloss:0.805996
[39] train-mlogloss:0.683320 eval-mlogloss:0.795613
[40] train-mlogloss:0.671970 eval-mlogloss:0.785984
[41] train-mlogloss:0.660422 eval-mlogloss:0.776281
[42] train-mlogloss:0.649648 eval-mlogloss:0.766964
[43] train-mlogloss:0.638885 eval-mlogloss:0.757803
[44] train-mlogloss:0.629407 eval-mlogloss:0.749916
[45] train-mlogloss:0.618965 eval-mlogloss:0.741444
[46] train-mlogloss:0.608960 eval-mlogloss:0.733501
[47] train-mlogloss:0.599529 eval-mlogloss:0.725638
[48] train-mlogloss:0.590841 eval-mlogloss:0.718494
[49] train-mlogloss:0.582783 eval-mlogloss:0.711599
[50] train-mlogloss:0.574190 eval-mlogloss:0.704862
[51] train-mlogloss:0.566485 eval-mlogloss:0.698542
[52] train-mlogloss:0.559281 eval-mlogloss:0.692448
[53] train-mlogloss:0.551791 eval-mlogloss:0.686372
[54] train-mlogloss:0.544590 eval-mlogloss:0.680695
[55] train-mlogloss:0.537537 eval-mlogloss:0.675010
[56] train-mlogloss:0.531153 eval-mlogloss:0.669665
[57] train-mlogloss:0.524860 eval-mlogloss:0.664464
[58] train-mlogloss:0.518714 eval-mlogloss:0.659508
[59] train-mlogloss:0.511942 eval-mlogloss:0.654298
[60] train-mlogloss:0.505819 eval-mlogloss:0.649567
[61] train-mlogloss:0.499973 eval-mlogloss:0.644937
[62] train-mlogloss:0.494499 eval-mlogloss:0.640686
[63] train-mlogloss:0.489177 eval-mlogloss:0.636318
[64] train-mlogloss:0.483723 eval-mlogloss:0.631978
[65] train-mlogloss:0.478205 eval-mlogloss:0.627578
[66] train-mlogloss:0.472953 eval-mlogloss:0.623478
[67] train-mlogloss:0.467766 eval-mlogloss:0.619653
[68] train-mlogloss:0.462575 eval-mlogloss:0.615778
[69] train-mlogloss:0.457940 eval-mlogloss:0.612273
[70] train-mlogloss:0.453228 eval-mlogloss:0.608752
[71] train-mlogloss:0.448697 eval-mlogloss:0.605288
[72] train-mlogloss:0.444724 eval-mlogloss:0.602148
[73] train-mlogloss:0.440848 eval-mlogloss:0.599232
[74] train-mlogloss:0.436765 eval-mlogloss:0.596213
[75] train-mlogloss:0.432680 eval-mlogloss:0.593218
[76] train-mlogloss:0.428362 eval-mlogloss:0.590085
[77] train-mlogloss:0.424545 eval-mlogloss:0.587359
[78] train-mlogloss:0.420857 eval-mlogloss:0.584528
[79] train-mlogloss:0.417225 eval-mlogloss:0.581884
[80] train-mlogloss:0.413797 eval-mlogloss:0.579300
[81] train-mlogloss:0.410051 eval-mlogloss:0.576708
[82] train-mlogloss:0.406928 eval-mlogloss:0.574270
[83] train-mlogloss:0.403885 eval-mlogloss:0.571901
[84] train-mlogloss:0.400663 eval-mlogloss:0.569717
[85] train-mlogloss:0.397250 eval-mlogloss:0.567378
[86] train-mlogloss:0.394365 eval-mlogloss:0.565210
[87] train-mlogloss:0.391727 eval-mlogloss:0.563058
[88] train-mlogloss:0.388951 eval-mlogloss:0.561199
[89] train-mlogloss:0.386012 eval-mlogloss:0.559238
[90] train-mlogloss:0.383188 eval-mlogloss:0.557356
[91] train-mlogloss:0.380362 eval-mlogloss:0.555600
[92] train-mlogloss:0.377526 eval-mlogloss:0.553787
[93] train-mlogloss:0.374796 eval-mlogloss:0.551982
[94] train-mlogloss:0.372257 eval-mlogloss:0.550254
[95] train-mlogloss:0.369798 eval-mlogloss:0.548683
[96] train-mlogloss:0.366828 eval-mlogloss:0.546877
[97] train-mlogloss:0.364377 eval-mlogloss:0.545161
[98] train-mlogloss:0.361835 eval-mlogloss:0.543453
[99] train-mlogloss:0.359311 eval-mlogloss:0.541820
[100] train-mlogloss:0.356986 eval-mlogloss:0.540301
[101] train-mlogloss:0.354556 eval-mlogloss:0.538794
[102] train-mlogloss:0.352337 eval-mlogloss:0.537162
[103] train-mlogloss:0.350390 eval-mlogloss:0.535892
[104] train-mlogloss:0.348104 eval-mlogloss:0.534405
[105] train-mlogloss:0.346212 eval-mlogloss:0.533197
[106] train-mlogloss:0.344237 eval-mlogloss:0.531992
[107] train-mlogloss:0.342511 eval-mlogloss:0.530918
[108] train-mlogloss:0.340547 eval-mlogloss:0.529566
[109] train-mlogloss:0.338645 eval-mlogloss:0.528332
[110] train-mlogloss:0.336690 eval-mlogloss:0.527162
[111] train-mlogloss:0.334950 eval-mlogloss:0.525891
[112] train-mlogloss:0.332998 eval-mlogloss:0.524661
[113] train-mlogloss:0.331398 eval-mlogloss:0.523547
[114] train-mlogloss:0.329550 eval-mlogloss:0.522232
[115] train-mlogloss:0.327981 eval-mlogloss:0.521219
[116] train-mlogloss:0.326219 eval-mlogloss:0.520074
[117] train-mlogloss:0.324584 eval-mlogloss:0.519039
[118] train-mlogloss:0.322938 eval-mlogloss:0.517986
[119] train-mlogloss:0.321548 eval-mlogloss:0.517026
[120] train-mlogloss:0.319763 eval-mlogloss:0.516017
[121] train-mlogloss:0.318241 eval-mlogloss:0.515197
[122] train-mlogloss:0.316934 eval-mlogloss:0.514291
[123] train-mlogloss:0.315351 eval-mlogloss:0.513418
[124] train-mlogloss:0.313658 eval-mlogloss:0.512398
[125] train-mlogloss:0.312491 eval-mlogloss:0.511572
[126] train-mlogloss:0.310914 eval-mlogloss:0.510676
[127] train-mlogloss:0.309768 eval-mlogloss:0.509865
[128] train-mlogloss:0.308491 eval-mlogloss:0.508983
[129] train-mlogloss:0.307301 eval-mlogloss:0.508263
[130] train-mlogloss:0.306356 eval-mlogloss:0.507518
[131] train-mlogloss:0.305031 eval-mlogloss:0.506856
[132] train-mlogloss:0.303609 eval-mlogloss:0.506090
[133] train-mlogloss:0.302423 eval-mlogloss:0.505439
[134] train-mlogloss:0.301236 eval-mlogloss:0.504714
[135] train-mlogloss:0.299959 eval-mlogloss:0.504001
[136] train-mlogloss:0.298795 eval-mlogloss:0.503301
[137] train-mlogloss:0.297626 eval-mlogloss:0.502666
[138] train-mlogloss:0.296566 eval-mlogloss:0.501956
[139] train-mlogloss:0.295375 eval-mlogloss:0.501282
[140] train-mlogloss:0.294269 eval-mlogloss:0.500698
[141] train-mlogloss:0.293050 eval-mlogloss:0.500015
[142] train-mlogloss:0.291990 eval-mlogloss:0.499380
[143] train-mlogloss:0.290870 eval-mlogloss:0.498714
[144] train-mlogloss:0.289570 eval-mlogloss:0.498117
[145] train-mlogloss:0.288386 eval-mlogloss:0.497498
[146] train-mlogloss:0.287577 eval-mlogloss:0.497039
[147] train-mlogloss:0.286568 eval-mlogloss:0.496484
[148] train-mlogloss:0.285594 eval-mlogloss:0.495959
[149] train-mlogloss:0.284444 eval-mlogloss:0.495379
[150] train-mlogloss:0.283346 eval-mlogloss:0.494883
[151] train-mlogloss:0.282411 eval-mlogloss:0.494309
[152] train-mlogloss:0.281454 eval-mlogloss:0.493726
[153] train-mlogloss:0.280367 eval-mlogloss:0.493191
[154] train-mlogloss:0.279131 eval-mlogloss:0.492639
[155] train-mlogloss:0.278054 eval-mlogloss:0.492075
[156] train-mlogloss:0.277068 eval-mlogloss:0.491595
[157] train-mlogloss:0.276068 eval-mlogloss:0.491059
[158] train-mlogloss:0.275078 eval-mlogloss:0.490539
[159] train-mlogloss:0.273951 eval-mlogloss:0.490084
[160] train-mlogloss:0.272871 eval-mlogloss:0.489592
[161] train-mlogloss:0.272072 eval-mlogloss:0.489136
[162] train-mlogloss:0.271064 eval-mlogloss:0.488717
[163] train-mlogloss:0.270328 eval-mlogloss:0.488326
[164] train-mlogloss:0.269597 eval-mlogloss:0.487919
[165] train-mlogloss:0.268668 eval-mlogloss:0.487572
[166] train-mlogloss:0.267858 eval-mlogloss:0.487123
[167] train-mlogloss:0.266917 eval-mlogloss:0.486641
[168] train-mlogloss:0.266077 eval-mlogloss:0.486260
[169] train-mlogloss:0.265266 eval-mlogloss:0.485844
[170] train-mlogloss:0.264434 eval-mlogloss:0.485489
[171] train-mlogloss:0.263736 eval-mlogloss:0.485142
[172] train-mlogloss:0.262924 eval-mlogloss:0.484767
[173] train-mlogloss:0.262236 eval-mlogloss:0.484383
[174] train-mlogloss:0.261407 eval-mlogloss:0.483942
[175] train-mlogloss:0.260714 eval-mlogloss:0.483573
[176] train-mlogloss:0.259844 eval-mlogloss:0.483143
[177] train-mlogloss:0.258980 eval-mlogloss:0.482846
[178] train-mlogloss:0.258375 eval-mlogloss:0.482580
[179] train-mlogloss:0.257601 eval-mlogloss:0.482158
[180] train-mlogloss:0.256823 eval-mlogloss:0.481819
[181] train-mlogloss:0.256052 eval-mlogloss:0.481450
[182] train-mlogloss:0.255282 eval-mlogloss:0.481130
[183] train-mlogloss:0.254447 eval-mlogloss:0.480809
[184] train-mlogloss:0.253915 eval-mlogloss:0.480559
[185] train-mlogloss:0.253097 eval-mlogloss:0.480229
[186] train-mlogloss:0.252525 eval-mlogloss:0.479953
[187] train-mlogloss:0.251825 eval-mlogloss:0.479619
[188] train-mlogloss:0.251067 eval-mlogloss:0.479298
[189] train-mlogloss:0.250382 eval-mlogloss:0.479023
[190] train-mlogloss:0.249654 eval-mlogloss:0.478711
[191] train-mlogloss:0.248874 eval-mlogloss:0.478458
[192] train-mlogloss:0.248187 eval-mlogloss:0.478135
[193] train-mlogloss:0.247515 eval-mlogloss:0.477846
[194] train-mlogloss:0.246929 eval-mlogloss:0.477467
[195] train-mlogloss:0.246139 eval-mlogloss:0.477173
[196] train-mlogloss:0.245408 eval-mlogloss:0.476890
[197] train-mlogloss:0.244874 eval-mlogloss:0.476624
[198] train-mlogloss:0.244176 eval-mlogloss:0.476339
[199] train-mlogloss:0.243420 eval-mlogloss:0.476127
[200] train-mlogloss:0.242737 eval-mlogloss:0.475833
[201] train-mlogloss:0.241924 eval-mlogloss:0.475587
[202] train-mlogloss:0.241282 eval-mlogloss:0.475385
[203] train-mlogloss:0.240584 eval-mlogloss:0.475161
[204] train-mlogloss:0.239946 eval-mlogloss:0.474944
[205] train-mlogloss:0.239305 eval-mlogloss:0.474751
[206] train-mlogloss:0.238704 eval-mlogloss:0.474488
[207] train-mlogloss:0.238367 eval-mlogloss:0.474306
[208] train-mlogloss:0.237735 eval-mlogloss:0.474143
[209] train-mlogloss:0.236978 eval-mlogloss:0.473944
[210] train-mlogloss:0.236610 eval-mlogloss:0.473725
[211] train-mlogloss:0.235913 eval-mlogloss:0.473430
[212] train-mlogloss:0.235223 eval-mlogloss:0.473064
[213] train-mlogloss:0.234541 eval-mlogloss:0.472928
[214] train-mlogloss:0.233951 eval-mlogloss:0.472662
[215] train-mlogloss:0.233144 eval-mlogloss:0.472372
[216] train-mlogloss:0.232324 eval-mlogloss:0.472086
[217] train-mlogloss:0.231475 eval-mlogloss:0.471801
[218] train-mlogloss:0.230758 eval-mlogloss:0.471567
[219] train-mlogloss:0.230186 eval-mlogloss:0.471332
[220] train-mlogloss:0.229722 eval-mlogloss:0.471125
[221] train-mlogloss:0.229138 eval-mlogloss:0.470830
[222] train-mlogloss:0.228617 eval-mlogloss:0.470625
[223] train-mlogloss:0.228036 eval-mlogloss:0.470408
[224] train-mlogloss:0.227322 eval-mlogloss:0.470192
[225] train-mlogloss:0.226610 eval-mlogloss:0.470000
[226] train-mlogloss:0.225941 eval-mlogloss:0.469793
[227] train-mlogloss:0.225465 eval-mlogloss:0.469589
[228] train-mlogloss:0.224825 eval-mlogloss:0.469365
[229] train-mlogloss:0.224165 eval-mlogloss:0.469186
[230] train-mlogloss:0.223772 eval-mlogloss:0.469019
[231] train-mlogloss:0.223275 eval-mlogloss:0.468829
[232] train-mlogloss:0.222770 eval-mlogloss:0.468691
[233] train-mlogloss:0.222038 eval-mlogloss:0.468472
[234] train-mlogloss:0.221434 eval-mlogloss:0.468363
[235] train-mlogloss:0.220919 eval-mlogloss:0.468216
[236] train-mlogloss:0.220294 eval-mlogloss:0.468077
[237] train-mlogloss:0.219852 eval-mlogloss:0.467894
[238] train-mlogloss:0.219346 eval-mlogloss:0.467739
[239] train-mlogloss:0.218773 eval-mlogloss:0.467503
[240] train-mlogloss:0.218253 eval-mlogloss:0.467300
[241] train-mlogloss:0.217648 eval-mlogloss:0.467135
[242] train-mlogloss:0.217153 eval-mlogloss:0.466910
[243] train-mlogloss:0.216677 eval-mlogloss:0.466732
[244] train-mlogloss:0.216221 eval-mlogloss:0.466546
[245] train-mlogloss:0.215647 eval-mlogloss:0.466378
[246] train-mlogloss:0.215072 eval-mlogloss:0.466180
[247] train-mlogloss:0.214623 eval-mlogloss:0.465997
[248] train-mlogloss:0.214240 eval-mlogloss:0.465892
[249] train-mlogloss:0.213729 eval-mlogloss:0.465752
[250] train-mlogloss:0.213250 eval-mlogloss:0.465625
[251] train-mlogloss:0.212825 eval-mlogloss:0.465481
[252] train-mlogloss:0.212373 eval-mlogloss:0.465374
[253] train-mlogloss:0.211904 eval-mlogloss:0.465240
[254] train-mlogloss:0.211494 eval-mlogloss:0.465109
[255] train-mlogloss:0.211075 eval-mlogloss:0.464969
[256] train-mlogloss:0.210596 eval-mlogloss:0.464839
[257] train-mlogloss:0.210204 eval-mlogloss:0.464803
[258] train-mlogloss:0.209787 eval-mlogloss:0.464693
[259] train-mlogloss:0.209335 eval-mlogloss:0.464597
[260] train-mlogloss:0.208967 eval-mlogloss:0.464406
[261] train-mlogloss:0.208572 eval-mlogloss:0.464301
[262] train-mlogloss:0.207966 eval-mlogloss:0.464137
[263] train-mlogloss:0.207453 eval-mlogloss:0.463971
[264] train-mlogloss:0.207056 eval-mlogloss:0.463858
[265] train-mlogloss:0.206714 eval-mlogloss:0.463737
[266] train-mlogloss:0.206245 eval-mlogloss:0.463626
[267] train-mlogloss:0.205786 eval-mlogloss:0.463515
[268] train-mlogloss:0.205303 eval-mlogloss:0.463361
[269] train-mlogloss:0.204976 eval-mlogloss:0.463251
[270] train-mlogloss:0.204530 eval-mlogloss:0.463163
[271] train-mlogloss:0.204061 eval-mlogloss:0.463082
[272] train-mlogloss:0.203395 eval-mlogloss:0.462927
[273] train-mlogloss:0.202960 eval-mlogloss:0.462743
[274] train-mlogloss:0.202508 eval-mlogloss:0.462563
[275] train-mlogloss:0.201928 eval-mlogloss:0.462451
[276] train-mlogloss:0.201227 eval-mlogloss:0.462266
[277] train-mlogloss:0.200942 eval-mlogloss:0.462172
[278] train-mlogloss:0.200418 eval-mlogloss:0.462015
[279] train-mlogloss:0.199963 eval-mlogloss:0.461877
[280] train-mlogloss:0.199587 eval-mlogloss:0.461797
[281] train-mlogloss:0.199184 eval-mlogloss:0.461767
[282] train-mlogloss:0.198784 eval-mlogloss:0.461643
[283] train-mlogloss:0.198376 eval-mlogloss:0.461559
[284] train-mlogloss:0.198107 eval-mlogloss:0.461478
[285] train-mlogloss:0.197744 eval-mlogloss:0.461380
[286] train-mlogloss:0.197199 eval-mlogloss:0.461289
[287] train-mlogloss:0.196883 eval-mlogloss:0.461172
[288] train-mlogloss:0.196404 eval-mlogloss:0.461076
[289] train-mlogloss:0.195942 eval-mlogloss:0.461091
[290] train-mlogloss:0.195532 eval-mlogloss:0.461023
[291] train-mlogloss:0.195071 eval-mlogloss:0.461035
[292] train-mlogloss:0.194576 eval-mlogloss:0.460941
[293] train-mlogloss:0.194231 eval-mlogloss:0.460821
[294] train-mlogloss:0.193878 eval-mlogloss:0.460670
[295] train-mlogloss:0.193527 eval-mlogloss:0.460543
[296] train-mlogloss:0.193214 eval-mlogloss:0.460463
[297] train-mlogloss:0.192802 eval-mlogloss:0.460353
[298] train-mlogloss:0.192362 eval-mlogloss:0.460231
[299] train-mlogloss:0.191963 eval-mlogloss:0.460150
[300] train-mlogloss:0.191503 eval-mlogloss:0.460052
[301] train-mlogloss:0.191030 eval-mlogloss:0.459917
[302] train-mlogloss:0.190783 eval-mlogloss:0.459828
[303] train-mlogloss:0.190413 eval-mlogloss:0.459655
[304] train-mlogloss:0.190191 eval-mlogloss:0.459621
[305] train-mlogloss:0.189824 eval-mlogloss:0.459551
[306] train-mlogloss:0.189390 eval-mlogloss:0.459470
[307] train-mlogloss:0.189019 eval-mlogloss:0.459378
[308] train-mlogloss:0.188496 eval-mlogloss:0.459278
[309] train-mlogloss:0.188035 eval-mlogloss:0.459132
[310] train-mlogloss:0.187704 eval-mlogloss:0.459097
[311] train-mlogloss:0.187281 eval-mlogloss:0.458909
[312] train-mlogloss:0.186947 eval-mlogloss:0.458878
[313] train-mlogloss:0.186622 eval-mlogloss:0.458771
[314] train-mlogloss:0.186360 eval-mlogloss:0.458684
[315] train-mlogloss:0.185926 eval-mlogloss:0.458594
[316] train-mlogloss:0.185599 eval-mlogloss:0.458539
[317] train-mlogloss:0.185204 eval-mlogloss:0.458428
[318] train-mlogloss:0.184843 eval-mlogloss:0.458368
[319] train-mlogloss:0.184540 eval-mlogloss:0.458298
[320] train-mlogloss:0.184128 eval-mlogloss:0.458248
[321] train-mlogloss:0.183738 eval-mlogloss:0.458239
[322] train-mlogloss:0.183248 eval-mlogloss:0.458212
[323] train-mlogloss:0.182919 eval-mlogloss:0.458122
[324] train-mlogloss:0.182488 eval-mlogloss:0.458069
[325] train-mlogloss:0.182109 eval-mlogloss:0.458016
[326] train-mlogloss:0.181822 eval-mlogloss:0.457981
[327] train-mlogloss:0.181434 eval-mlogloss:0.457856
[328] train-mlogloss:0.181184 eval-mlogloss:0.457848
[329] train-mlogloss:0.180659 eval-mlogloss:0.457814
[330] train-mlogloss:0.180262 eval-mlogloss:0.457742
[331] train-mlogloss:0.179885 eval-mlogloss:0.457697
[332] train-mlogloss:0.179567 eval-mlogloss:0.457639
[333] train-mlogloss:0.179244 eval-mlogloss:0.457595
[334] train-mlogloss:0.178941 eval-mlogloss:0.457455
[335] train-mlogloss:0.178609 eval-mlogloss:0.457349
[336] train-mlogloss:0.178216 eval-mlogloss:0.457238
[337] train-mlogloss:0.177892 eval-mlogloss:0.457214
[338] train-mlogloss:0.177567 eval-mlogloss:0.457138
[339] train-mlogloss:0.177210 eval-mlogloss:0.457036
[340] train-mlogloss:0.176883 eval-mlogloss:0.456961
[341] train-mlogloss:0.176590 eval-mlogloss:0.456863
[342] train-mlogloss:0.176353 eval-mlogloss:0.456819
[343] train-mlogloss:0.176058 eval-mlogloss:0.456758
[344] train-mlogloss:0.175677 eval-mlogloss:0.456677
[345] train-mlogloss:0.175395 eval-mlogloss:0.456586
[346] train-mlogloss:0.175041 eval-mlogloss:0.456434
[347] train-mlogloss:0.174674 eval-mlogloss:0.456421
[348] train-mlogloss:0.174355 eval-mlogloss:0.456346
[349] train-mlogloss:0.174024 eval-mlogloss:0.456339
[350] train-mlogloss:0.173701 eval-mlogloss:0.456264
[351] train-mlogloss:0.173371 eval-mlogloss:0.456192
[352] train-mlogloss:0.173116 eval-mlogloss:0.456089
[353] train-mlogloss:0.172725 eval-mlogloss:0.456075
[354] train-mlogloss:0.172397 eval-mlogloss:0.455997
[355] train-mlogloss:0.172120 eval-mlogloss:0.455950
[356] train-mlogloss:0.171892 eval-mlogloss:0.455922
[357] train-mlogloss:0.171528 eval-mlogloss:0.455847
[358] train-mlogloss:0.171324 eval-mlogloss:0.455814
[359] train-mlogloss:0.171197 eval-mlogloss:0.455726
[360] train-mlogloss:0.170824 eval-mlogloss:0.455650
[361] train-mlogloss:0.170565 eval-mlogloss:0.455624
[362] train-mlogloss:0.170263 eval-mlogloss:0.455615
[363] train-mlogloss:0.170028 eval-mlogloss:0.455547
[364] train-mlogloss:0.169756 eval-mlogloss:0.455508
[365] train-mlogloss:0.169521 eval-mlogloss:0.455462
[366] train-mlogloss:0.169153 eval-mlogloss:0.455375
[367] train-mlogloss:0.168793 eval-mlogloss:0.455319
[368] train-mlogloss:0.168513 eval-mlogloss:0.455266
[369] train-mlogloss:0.168298 eval-mlogloss:0.455164
[370] train-mlogloss:0.168017 eval-mlogloss:0.455113
[371] train-mlogloss:0.167847 eval-mlogloss:0.455072
[372] train-mlogloss:0.167321 eval-mlogloss:0.454978
[373] train-mlogloss:0.167008 eval-mlogloss:0.454964
[374] train-mlogloss:0.166768 eval-mlogloss:0.455014
[375] train-mlogloss:0.166444 eval-mlogloss:0.454979
[376] train-mlogloss:0.166221 eval-mlogloss:0.454990
[377] train-mlogloss:0.165963 eval-mlogloss:0.454970
[378] train-mlogloss:0.165621 eval-mlogloss:0.454935
[379] train-mlogloss:0.165411 eval-mlogloss:0.454949
[380] train-mlogloss:0.165111 eval-mlogloss:0.454901
[381] train-mlogloss:0.164832 eval-mlogloss:0.454843
[382] train-mlogloss:0.164620 eval-mlogloss:0.454832
[383] train-mlogloss:0.164433 eval-mlogloss:0.454793
[384] train-mlogloss:0.164197 eval-mlogloss:0.454761
[385] train-mlogloss:0.164010 eval-mlogloss:0.454744
[386] train-mlogloss:0.163778 eval-mlogloss:0.454734
[387] train-mlogloss:0.163518 eval-mlogloss:0.454697
[388] train-mlogloss:0.163296 eval-mlogloss:0.454632
[389] train-mlogloss:0.163163 eval-mlogloss:0.454595
[390] train-mlogloss:0.162753 eval-mlogloss:0.454478
[391] train-mlogloss:0.162601 eval-mlogloss:0.454412
[392] train-mlogloss:0.162425 eval-mlogloss:0.454355
[393] train-mlogloss:0.162218 eval-mlogloss:0.454339
[394] train-mlogloss:0.161989 eval-mlogloss:0.454355
[395] train-mlogloss:0.161677 eval-mlogloss:0.454253
[396] train-mlogloss:0.161492 eval-mlogloss:0.454262
[397] train-mlogloss:0.161186 eval-mlogloss:0.454189
[398] train-mlogloss:0.160955 eval-mlogloss:0.454206
[399] train-mlogloss:0.160695 eval-mlogloss:0.454132
[400] train-mlogloss:0.160528 eval-mlogloss:0.454125
[401] train-mlogloss:0.160276 eval-mlogloss:0.454089
[402] train-mlogloss:0.160086 eval-mlogloss:0.454085
[403] train-mlogloss:0.159928 eval-mlogloss:0.454071
[404] train-mlogloss:0.159697 eval-mlogloss:0.453980
[405] train-mlogloss:0.159409 eval-mlogloss:0.453916
[406] train-mlogloss:0.159084 eval-mlogloss:0.453844
[407] train-mlogloss:0.158903 eval-mlogloss:0.453800
[408] train-mlogloss:0.158659 eval-mlogloss:0.453757
[409] train-mlogloss:0.158478 eval-mlogloss:0.453730
[410] train-mlogloss:0.158195 eval-mlogloss:0.453695
[411] train-mlogloss:0.158052 eval-mlogloss:0.453674
[412] train-mlogloss:0.157794 eval-mlogloss:0.453670
[413] train-mlogloss:0.157551 eval-mlogloss:0.453603
[414] train-mlogloss:0.157363 eval-mlogloss:0.453622
[415] train-mlogloss:0.157114 eval-mlogloss:0.453608
[416] train-mlogloss:0.156916 eval-mlogloss:0.453576
[417] train-mlogloss:0.156631 eval-mlogloss:0.453573
[418] train-mlogloss:0.156436 eval-mlogloss:0.453563
[419] train-mlogloss:0.156283 eval-mlogloss:0.453482
[420] train-mlogloss:0.155993 eval-mlogloss:0.453468
[421] train-mlogloss:0.155752 eval-mlogloss:0.453473
[422] train-mlogloss:0.155592 eval-mlogloss:0.453456
[423] train-mlogloss:0.155349 eval-mlogloss:0.453475
[424] train-mlogloss:0.155101 eval-mlogloss:0.453440
[425] train-mlogloss:0.154832 eval-mlogloss:0.453367
[426] train-mlogloss:0.154500 eval-mlogloss:0.453355
[427] train-mlogloss:0.154307 eval-mlogloss:0.453303
[428] train-mlogloss:0.154087 eval-mlogloss:0.453295
[429] train-mlogloss:0.153809 eval-mlogloss:0.453222
[430] train-mlogloss:0.153580 eval-mlogloss:0.453183
[431] train-mlogloss:0.153361 eval-mlogloss:0.453118
[432] train-mlogloss:0.153200 eval-mlogloss:0.453126
[433] train-mlogloss:0.152923 eval-mlogloss:0.453117
[434] train-mlogloss:0.152665 eval-mlogloss:0.453113
[435] train-mlogloss:0.152477 eval-mlogloss:0.453112
[436] train-mlogloss:0.152186 eval-mlogloss:0.453061
[437] train-mlogloss:0.152068 eval-mlogloss:0.453022
[438] train-mlogloss:0.151885 eval-mlogloss:0.452977
[439] train-mlogloss:0.151694 eval-mlogloss:0.452979
[440] train-mlogloss:0.151531 eval-mlogloss:0.452972
[441] train-mlogloss:0.151296 eval-mlogloss:0.452980
[442] train-mlogloss:0.151037 eval-mlogloss:0.452991
[443] train-mlogloss:0.150837 eval-mlogloss:0.453004
[444] train-mlogloss:0.150592 eval-mlogloss:0.453046
[445] train-mlogloss:0.150403 eval-mlogloss:0.452986
[446] train-mlogloss:0.150141 eval-mlogloss:0.452962
[447] train-mlogloss:0.149907 eval-mlogloss:0.452955
[448] train-mlogloss:0.149784 eval-mlogloss:0.452904
[449] train-mlogloss:0.149596 eval-mlogloss:0.452931
[450] train-mlogloss:0.149346 eval-mlogloss:0.452884
[451] train-mlogloss:0.149153 eval-mlogloss:0.452850
[452] train-mlogloss:0.148933 eval-mlogloss:0.452811
[453] train-mlogloss:0.148695 eval-mlogloss:0.452758
[454] train-mlogloss:0.148581 eval-mlogloss:0.452761
[455] train-mlogloss:0.148350 eval-mlogloss:0.452759
[456] train-mlogloss:0.148084 eval-mlogloss:0.452738
[457] train-mlogloss:0.147835 eval-mlogloss:0.452735
[458] train-mlogloss:0.147615 eval-mlogloss:0.452748
[459] train-mlogloss:0.147493 eval-mlogloss:0.452722
[460] train-mlogloss:0.147321 eval-mlogloss:0.452704
[461] train-mlogloss:0.147074 eval-mlogloss:0.452676
[462] train-mlogloss:0.146905 eval-mlogloss:0.452678
[463] train-mlogloss:0.146704 eval-mlogloss:0.452637
[464] train-mlogloss:0.146471 eval-mlogloss:0.452614
[465] train-mlogloss:0.146218 eval-mlogloss:0.452613
[466] train-mlogloss:0.146017 eval-mlogloss:0.452568
[467] train-mlogloss:0.145692 eval-mlogloss:0.452532
[468] train-mlogloss:0.145522 eval-mlogloss:0.452536
[469] train-mlogloss:0.145319 eval-mlogloss:0.452531
[470] train-mlogloss:0.145205 eval-mlogloss:0.452525
[471] train-mlogloss:0.145020 eval-mlogloss:0.452524
[472] train-mlogloss:0.144889 eval-mlogloss:0.452513
[473] train-mlogloss:0.144794 eval-mlogloss:0.452481
[474] train-mlogloss:0.144636 eval-mlogloss:0.452462
[475] train-mlogloss:0.144419 eval-mlogloss:0.452491
[476] train-mlogloss:0.144264 eval-mlogloss:0.452431
[477] train-mlogloss:0.144078 eval-mlogloss:0.452384
[478] train-mlogloss:0.143896 eval-mlogloss:0.452356
[479] train-mlogloss:0.143715 eval-mlogloss:0.452302
[480] train-mlogloss:0.143494 eval-mlogloss:0.452306
[481] train-mlogloss:0.143274 eval-mlogloss:0.452289
[482] train-mlogloss:0.143090 eval-mlogloss:0.452239
[483] train-mlogloss:0.142920 eval-mlogloss:0.452150
[484] train-mlogloss:0.142673 eval-mlogloss:0.452109
[485] train-mlogloss:0.142474 eval-mlogloss:0.452126
[486] train-mlogloss:0.142265 eval-mlogloss:0.452134
[487] train-mlogloss:0.142081 eval-mlogloss:0.452098
[488] train-mlogloss:0.141978 eval-mlogloss:0.452089
[489] train-mlogloss:0.141861 eval-mlogloss:0.452078
[490] train-mlogloss:0.141633 eval-mlogloss:0.452055
[491] train-mlogloss:0.141463 eval-mlogloss:0.452032
[492] train-mlogloss:0.141291 eval-mlogloss:0.452027
[493] train-mlogloss:0.141088 eval-mlogloss:0.452075
[494] train-mlogloss:0.140844 eval-mlogloss:0.451993
[495] train-mlogloss:0.140689 eval-mlogloss:0.451964
[496] train-mlogloss:0.140387 eval-mlogloss:0.451956
[497] train-mlogloss:0.140189 eval-mlogloss:0.451998
[498] train-mlogloss:0.139982 eval-mlogloss:0.452045
[499] train-mlogloss:0.139793 eval-mlogloss:0.451992
[500] train-mlogloss:0.139622 eval-mlogloss:0.451954
[501] train-mlogloss:0.139453 eval-mlogloss:0.452006
[502] train-mlogloss:0.139226 eval-mlogloss:0.451987
[503] train-mlogloss:0.139007 eval-mlogloss:0.451983
[504] train-mlogloss:0.138871 eval-mlogloss:0.451952
[505] train-mlogloss:0.138630 eval-mlogloss:0.451983
[506] train-mlogloss:0.138558 eval-mlogloss:0.451993
[507] train-mlogloss:0.138368 eval-mlogloss:0.451984
[508] train-mlogloss:0.138161 eval-mlogloss:0.452006
[509] train-mlogloss:0.137949 eval-mlogloss:0.452012
[510] train-mlogloss:0.137770 eval-mlogloss:0.452015
[511] train-mlogloss:0.137551 eval-mlogloss:0.451994
[512] train-mlogloss:0.137381 eval-mlogloss:0.451996
[513] train-mlogloss:0.137182 eval-mlogloss:0.451979
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 677.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.4520024421096667
[514] train-mlogloss:0.137013 eval-mlogloss:0.452002
Stopping. Best iteration:
[504] train-mlogloss:0.138871 eval-mlogloss:0.451952
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.026594 eval-mlogloss:2.026106
[1] train-mlogloss:1.901949 eval-mlogloss:1.901471
[2] train-mlogloss:1.804008 eval-mlogloss:1.803692
[3] train-mlogloss:1.723294 eval-mlogloss:1.723038
[4] train-mlogloss:1.655594 eval-mlogloss:1.655885
[5] train-mlogloss:1.595195 eval-mlogloss:1.595944
[6] train-mlogloss:1.542469 eval-mlogloss:1.543682
[7] train-mlogloss:1.491566 eval-mlogloss:1.492505
[8] train-mlogloss:1.449544 eval-mlogloss:1.450561
[9] train-mlogloss:1.408159 eval-mlogloss:1.409680
[10] train-mlogloss:1.371372 eval-mlogloss:1.373182
[11] train-mlogloss:1.338775 eval-mlogloss:1.340890
[12] train-mlogloss:1.307182 eval-mlogloss:1.309006
[13] train-mlogloss:1.279222 eval-mlogloss:1.281378
[14] train-mlogloss:1.251857 eval-mlogloss:1.253943
[15] train-mlogloss:1.228127 eval-mlogloss:1.230068
[16] train-mlogloss:1.204663 eval-mlogloss:1.206625
[17] train-mlogloss:1.182941 eval-mlogloss:1.185030
[18] train-mlogloss:1.163269 eval-mlogloss:1.165419
[19] train-mlogloss:1.145398 eval-mlogloss:1.147543
[20] train-mlogloss:1.127652 eval-mlogloss:1.129869
[21] train-mlogloss:1.111448 eval-mlogloss:1.113643
[22] train-mlogloss:1.094913 eval-mlogloss:1.097076
[23] train-mlogloss:1.079801 eval-mlogloss:1.081871
[24] train-mlogloss:1.065666 eval-mlogloss:1.067712
[25] train-mlogloss:1.051921 eval-mlogloss:1.054386
[26] train-mlogloss:1.039078 eval-mlogloss:1.041654
[27] train-mlogloss:1.026704 eval-mlogloss:1.029424
[28] train-mlogloss:1.015579 eval-mlogloss:1.018384
[29] train-mlogloss:1.004429 eval-mlogloss:1.007434
[30] train-mlogloss:0.993789 eval-mlogloss:0.996812
[31] train-mlogloss:0.983678 eval-mlogloss:0.986834
[32] train-mlogloss:0.973889 eval-mlogloss:0.977414
[33] train-mlogloss:0.964779 eval-mlogloss:0.968407
[34] train-mlogloss:0.956299 eval-mlogloss:0.959998
[35] train-mlogloss:0.947956 eval-mlogloss:0.952020
[36] train-mlogloss:0.940247 eval-mlogloss:0.944410
[37] train-mlogloss:0.932791 eval-mlogloss:0.937058
[38] train-mlogloss:0.925467 eval-mlogloss:0.929939
[39] train-mlogloss:0.918683 eval-mlogloss:0.923205
[40] train-mlogloss:0.911747 eval-mlogloss:0.916607
[41] train-mlogloss:0.905160 eval-mlogloss:0.909979
[42] train-mlogloss:0.899021 eval-mlogloss:0.903866
[43] train-mlogloss:0.892756 eval-mlogloss:0.897694
[44] train-mlogloss:0.886544 eval-mlogloss:0.891820
[45] train-mlogloss:0.880700 eval-mlogloss:0.886057
[46] train-mlogloss:0.875040 eval-mlogloss:0.880566
[47] train-mlogloss:0.869823 eval-mlogloss:0.875336
[48] train-mlogloss:0.864528 eval-mlogloss:0.870287
[49] train-mlogloss:0.859856 eval-mlogloss:0.865931
[50] train-mlogloss:0.854974 eval-mlogloss:0.860910
[51] train-mlogloss:0.850515 eval-mlogloss:0.856577
[52] train-mlogloss:0.846013 eval-mlogloss:0.852169
[53] train-mlogloss:0.841771 eval-mlogloss:0.847980
[54] train-mlogloss:0.837492 eval-mlogloss:0.843625
[55] train-mlogloss:0.833316 eval-mlogloss:0.839182
[56] train-mlogloss:0.829147 eval-mlogloss:0.835159
[57] train-mlogloss:0.825273 eval-mlogloss:0.831435
[58] train-mlogloss:0.821449 eval-mlogloss:0.827629
[59] train-mlogloss:0.817692 eval-mlogloss:0.823883
[60] train-mlogloss:0.814231 eval-mlogloss:0.820319
[61] train-mlogloss:0.810843 eval-mlogloss:0.816994
[62] train-mlogloss:0.807399 eval-mlogloss:0.813744
[63] train-mlogloss:0.804069 eval-mlogloss:0.810499
[64] train-mlogloss:0.800945 eval-mlogloss:0.807310
[65] train-mlogloss:0.797657 eval-mlogloss:0.804020
[66] train-mlogloss:0.794591 eval-mlogloss:0.800988
[67] train-mlogloss:0.791493 eval-mlogloss:0.797990
[68] train-mlogloss:0.788586 eval-mlogloss:0.795127
[69] train-mlogloss:0.785548 eval-mlogloss:0.792055
[70] train-mlogloss:0.782735 eval-mlogloss:0.789290
[71] train-mlogloss:0.779914 eval-mlogloss:0.786547
[72] train-mlogloss:0.777315 eval-mlogloss:0.783942
[73] train-mlogloss:0.774626 eval-mlogloss:0.781395
[74] train-mlogloss:0.771935 eval-mlogloss:0.778727
[75] train-mlogloss:0.769348 eval-mlogloss:0.776302
[76] train-mlogloss:0.767016 eval-mlogloss:0.774024
[77] train-mlogloss:0.764587 eval-mlogloss:0.771563
[78] train-mlogloss:0.762176 eval-mlogloss:0.769072
[79] train-mlogloss:0.759831 eval-mlogloss:0.766804
[80] train-mlogloss:0.757699 eval-mlogloss:0.764578
[81] train-mlogloss:0.755548 eval-mlogloss:0.762478
[82] train-mlogloss:0.753370 eval-mlogloss:0.760314
[83] train-mlogloss:0.751225 eval-mlogloss:0.758173
[84] train-mlogloss:0.749170 eval-mlogloss:0.756052
[85] train-mlogloss:0.746957 eval-mlogloss:0.753954
[86] train-mlogloss:0.744613 eval-mlogloss:0.751625
[87] train-mlogloss:0.742514 eval-mlogloss:0.749596
[88] train-mlogloss:0.740377 eval-mlogloss:0.747610
[89] train-mlogloss:0.738567 eval-mlogloss:0.745978
[90] train-mlogloss:0.736599 eval-mlogloss:0.744004
[91] train-mlogloss:0.734818 eval-mlogloss:0.742318
[92] train-mlogloss:0.732951 eval-mlogloss:0.740787
[93] train-mlogloss:0.731101 eval-mlogloss:0.738939
[94] train-mlogloss:0.729373 eval-mlogloss:0.737374
[95] train-mlogloss:0.727668 eval-mlogloss:0.735765
[96] train-mlogloss:0.725848 eval-mlogloss:0.733805
[97] train-mlogloss:0.724148 eval-mlogloss:0.732034
[98] train-mlogloss:0.722429 eval-mlogloss:0.730445
[99] train-mlogloss:0.720681 eval-mlogloss:0.728701
[100] train-mlogloss:0.718992 eval-mlogloss:0.727095
[101] train-mlogloss:0.717397 eval-mlogloss:0.725483
[102] train-mlogloss:0.715694 eval-mlogloss:0.723668
[103] train-mlogloss:0.714022 eval-mlogloss:0.722044
[104] train-mlogloss:0.712424 eval-mlogloss:0.720472
[105] train-mlogloss:0.710892 eval-mlogloss:0.718948
[106] train-mlogloss:0.709412 eval-mlogloss:0.717531
[107] train-mlogloss:0.707979 eval-mlogloss:0.716216
[108] train-mlogloss:0.706567 eval-mlogloss:0.714793
[109] train-mlogloss:0.705016 eval-mlogloss:0.713248
[110] train-mlogloss:0.703564 eval-mlogloss:0.711837
[111] train-mlogloss:0.702232 eval-mlogloss:0.710552
[112] train-mlogloss:0.700707 eval-mlogloss:0.709089
[113] train-mlogloss:0.699324 eval-mlogloss:0.707713
[114] train-mlogloss:0.698076 eval-mlogloss:0.706520
[115] train-mlogloss:0.696833 eval-mlogloss:0.705400
[116] train-mlogloss:0.695492 eval-mlogloss:0.704107
[117] train-mlogloss:0.694178 eval-mlogloss:0.702802
[118] train-mlogloss:0.692901 eval-mlogloss:0.701613
[119] train-mlogloss:0.691658 eval-mlogloss:0.700407
[120] train-mlogloss:0.690471 eval-mlogloss:0.699323
[121] train-mlogloss:0.689145 eval-mlogloss:0.697964
[122] train-mlogloss:0.687887 eval-mlogloss:0.696868
[123] train-mlogloss:0.686634 eval-mlogloss:0.695550
[124] train-mlogloss:0.685466 eval-mlogloss:0.694373
[125] train-mlogloss:0.684134 eval-mlogloss:0.693162
[126] train-mlogloss:0.682920 eval-mlogloss:0.691932
[127] train-mlogloss:0.681641 eval-mlogloss:0.690579
[128] train-mlogloss:0.680445 eval-mlogloss:0.689438
[129] train-mlogloss:0.679332 eval-mlogloss:0.688361
[130] train-mlogloss:0.678213 eval-mlogloss:0.687398
[131] train-mlogloss:0.677043 eval-mlogloss:0.686175
[132] train-mlogloss:0.675862 eval-mlogloss:0.685136
[133] train-mlogloss:0.674838 eval-mlogloss:0.684341
[134] train-mlogloss:0.673746 eval-mlogloss:0.683414
[135] train-mlogloss:0.672622 eval-mlogloss:0.682324
[136] train-mlogloss:0.671608 eval-mlogloss:0.681418
[137] train-mlogloss:0.670574 eval-mlogloss:0.680523
[138] train-mlogloss:0.669539 eval-mlogloss:0.679538
[139] train-mlogloss:0.668501 eval-mlogloss:0.678490
[140] train-mlogloss:0.667436 eval-mlogloss:0.677480
[141] train-mlogloss:0.666515 eval-mlogloss:0.676597
[142] train-mlogloss:0.665472 eval-mlogloss:0.675630
[143] train-mlogloss:0.664467 eval-mlogloss:0.674446
[144] train-mlogloss:0.663509 eval-mlogloss:0.673362
[145] train-mlogloss:0.662522 eval-mlogloss:0.672452
[146] train-mlogloss:0.661587 eval-mlogloss:0.671609
[147] train-mlogloss:0.660556 eval-mlogloss:0.670631
[148] train-mlogloss:0.659595 eval-mlogloss:0.669681
[149] train-mlogloss:0.658690 eval-mlogloss:0.668724
[150] train-mlogloss:0.657827 eval-mlogloss:0.667890
[151] train-mlogloss:0.656933 eval-mlogloss:0.666966
[152] train-mlogloss:0.656054 eval-mlogloss:0.666273
[153] train-mlogloss:0.655121 eval-mlogloss:0.665453
[154] train-mlogloss:0.654256 eval-mlogloss:0.664718
[155] train-mlogloss:0.653208 eval-mlogloss:0.663705
[156] train-mlogloss:0.652182 eval-mlogloss:0.662780
[157] train-mlogloss:0.651321 eval-mlogloss:0.661969
[158] train-mlogloss:0.650464 eval-mlogloss:0.661079
[159] train-mlogloss:0.649672 eval-mlogloss:0.660326
[160] train-mlogloss:0.648735 eval-mlogloss:0.659496
[161] train-mlogloss:0.647916 eval-mlogloss:0.658742
[162] train-mlogloss:0.647040 eval-mlogloss:0.657953
[163] train-mlogloss:0.646211 eval-mlogloss:0.657220
[164] train-mlogloss:0.645439 eval-mlogloss:0.656537
[165] train-mlogloss:0.644648 eval-mlogloss:0.655819
[166] train-mlogloss:0.643726 eval-mlogloss:0.654977
[167] train-mlogloss:0.642958 eval-mlogloss:0.654189
[168] train-mlogloss:0.642145 eval-mlogloss:0.653408
[169] train-mlogloss:0.641410 eval-mlogloss:0.652624
[170] train-mlogloss:0.640712 eval-mlogloss:0.652026
[171] train-mlogloss:0.639975 eval-mlogloss:0.651258
[172] train-mlogloss:0.639261 eval-mlogloss:0.650641
[173] train-mlogloss:0.638377 eval-mlogloss:0.649615
[174] train-mlogloss:0.637651 eval-mlogloss:0.648924
[175] train-mlogloss:0.636878 eval-mlogloss:0.648276
[176] train-mlogloss:0.636162 eval-mlogloss:0.647648
[177] train-mlogloss:0.635462 eval-mlogloss:0.647049
[178] train-mlogloss:0.634723 eval-mlogloss:0.646289
[179] train-mlogloss:0.633911 eval-mlogloss:0.645590
[180] train-mlogloss:0.633210 eval-mlogloss:0.644906
[181] train-mlogloss:0.632561 eval-mlogloss:0.644265
[182] train-mlogloss:0.631789 eval-mlogloss:0.643631
[183] train-mlogloss:0.631052 eval-mlogloss:0.643008
[184] train-mlogloss:0.630433 eval-mlogloss:0.642454
[185] train-mlogloss:0.629737 eval-mlogloss:0.641806
[186] train-mlogloss:0.629089 eval-mlogloss:0.641220
[187] train-mlogloss:0.628399 eval-mlogloss:0.640628
[188] train-mlogloss:0.627703 eval-mlogloss:0.639879
[189] train-mlogloss:0.627044 eval-mlogloss:0.639275
[190] train-mlogloss:0.626383 eval-mlogloss:0.638716
[191] train-mlogloss:0.625719 eval-mlogloss:0.638151
[192] train-mlogloss:0.625072 eval-mlogloss:0.637486
[193] train-mlogloss:0.624435 eval-mlogloss:0.636844
[194] train-mlogloss:0.623797 eval-mlogloss:0.636320
[195] train-mlogloss:0.623173 eval-mlogloss:0.635749
[196] train-mlogloss:0.622496 eval-mlogloss:0.635053
[197] train-mlogloss:0.621875 eval-mlogloss:0.634468
[198] train-mlogloss:0.621228 eval-mlogloss:0.633891
[199] train-mlogloss:0.620618 eval-mlogloss:0.633355
[200] train-mlogloss:0.619920 eval-mlogloss:0.632529
[201] train-mlogloss:0.619304 eval-mlogloss:0.632022
[202] train-mlogloss:0.618732 eval-mlogloss:0.631553
[203] train-mlogloss:0.618188 eval-mlogloss:0.631054
[204] train-mlogloss:0.617538 eval-mlogloss:0.630417
[205] train-mlogloss:0.616883 eval-mlogloss:0.629711
[206] train-mlogloss:0.616286 eval-mlogloss:0.629151
[207] train-mlogloss:0.615673 eval-mlogloss:0.628638
[208] train-mlogloss:0.615097 eval-mlogloss:0.628057
[209] train-mlogloss:0.614504 eval-mlogloss:0.627531
[210] train-mlogloss:0.613977 eval-mlogloss:0.627141
[211] train-mlogloss:0.613403 eval-mlogloss:0.626490
[212] train-mlogloss:0.612812 eval-mlogloss:0.626062
[213] train-mlogloss:0.612217 eval-mlogloss:0.625557
[214] train-mlogloss:0.611720 eval-mlogloss:0.625100
[215] train-mlogloss:0.611197 eval-mlogloss:0.624595
[216] train-mlogloss:0.610587 eval-mlogloss:0.624029
[217] train-mlogloss:0.610029 eval-mlogloss:0.623516
[218] train-mlogloss:0.609492 eval-mlogloss:0.623111
[219] train-mlogloss:0.609008 eval-mlogloss:0.622631
[220] train-mlogloss:0.608446 eval-mlogloss:0.622205
[221] train-mlogloss:0.607827 eval-mlogloss:0.621750
[222] train-mlogloss:0.607285 eval-mlogloss:0.621190
[223] train-mlogloss:0.606730 eval-mlogloss:0.620625
[224] train-mlogloss:0.606211 eval-mlogloss:0.620185
[225] train-mlogloss:0.605660 eval-mlogloss:0.619963
[226] train-mlogloss:0.605068 eval-mlogloss:0.619491
[227] train-mlogloss:0.604528 eval-mlogloss:0.618933
[228] train-mlogloss:0.604089 eval-mlogloss:0.618601
[229] train-mlogloss:0.603592 eval-mlogloss:0.618193
[230] train-mlogloss:0.603067 eval-mlogloss:0.617817
[231] train-mlogloss:0.602535 eval-mlogloss:0.617432
[232] train-mlogloss:0.602053 eval-mlogloss:0.616976
[233] train-mlogloss:0.601553 eval-mlogloss:0.616457
[234] train-mlogloss:0.601108 eval-mlogloss:0.616128
[235] train-mlogloss:0.600641 eval-mlogloss:0.615711
[236] train-mlogloss:0.600156 eval-mlogloss:0.615285
[237] train-mlogloss:0.599632 eval-mlogloss:0.614853
[238] train-mlogloss:0.599134 eval-mlogloss:0.614462
[239] train-mlogloss:0.598672 eval-mlogloss:0.614039
[240] train-mlogloss:0.598226 eval-mlogloss:0.613643
[241] train-mlogloss:0.597761 eval-mlogloss:0.613182
[242] train-mlogloss:0.597299 eval-mlogloss:0.612750
[243] train-mlogloss:0.596825 eval-mlogloss:0.612336
[244] train-mlogloss:0.596353 eval-mlogloss:0.611847
[245] train-mlogloss:0.595894 eval-mlogloss:0.611536
[246] train-mlogloss:0.595396 eval-mlogloss:0.611091
[247] train-mlogloss:0.594939 eval-mlogloss:0.610706
[248] train-mlogloss:0.594472 eval-mlogloss:0.610362
[249] train-mlogloss:0.593958 eval-mlogloss:0.609881
[250] train-mlogloss:0.593479 eval-mlogloss:0.609566
[251] train-mlogloss:0.593007 eval-mlogloss:0.609132
[252] train-mlogloss:0.592526 eval-mlogloss:0.608727
[253] train-mlogloss:0.592072 eval-mlogloss:0.608400
[254] train-mlogloss:0.591641 eval-mlogloss:0.608036
[255] train-mlogloss:0.591158 eval-mlogloss:0.607458
[256] train-mlogloss:0.590788 eval-mlogloss:0.607153
[257] train-mlogloss:0.590339 eval-mlogloss:0.606821
[258] train-mlogloss:0.589861 eval-mlogloss:0.606370
[259] train-mlogloss:0.589390 eval-mlogloss:0.605969
[260] train-mlogloss:0.588925 eval-mlogloss:0.605645
[261] train-mlogloss:0.588461 eval-mlogloss:0.605260
[262] train-mlogloss:0.588017 eval-mlogloss:0.604850
[263] train-mlogloss:0.587601 eval-mlogloss:0.604457
[264] train-mlogloss:0.587154 eval-mlogloss:0.604057
[265] train-mlogloss:0.586682 eval-mlogloss:0.603628
[266] train-mlogloss:0.586230 eval-mlogloss:0.603264
[267] train-mlogloss:0.585758 eval-mlogloss:0.602810
[268] train-mlogloss:0.585355 eval-mlogloss:0.602484
[269] train-mlogloss:0.584918 eval-mlogloss:0.602199
[270] train-mlogloss:0.584489 eval-mlogloss:0.601921
[271] train-mlogloss:0.584104 eval-mlogloss:0.601609
[272] train-mlogloss:0.583708 eval-mlogloss:0.601265
[273] train-mlogloss:0.583286 eval-mlogloss:0.600953
[274] train-mlogloss:0.582920 eval-mlogloss:0.600601
[275] train-mlogloss:0.582511 eval-mlogloss:0.600277
[276] train-mlogloss:0.582088 eval-mlogloss:0.599957
[277] train-mlogloss:0.581649 eval-mlogloss:0.599612
[278] train-mlogloss:0.581285 eval-mlogloss:0.599365
[279] train-mlogloss:0.580891 eval-mlogloss:0.599074
[280] train-mlogloss:0.580541 eval-mlogloss:0.598748
[281] train-mlogloss:0.580170 eval-mlogloss:0.598479
[282] train-mlogloss:0.579719 eval-mlogloss:0.598084
[283] train-mlogloss:0.579364 eval-mlogloss:0.597823
[284] train-mlogloss:0.578975 eval-mlogloss:0.597462
[285] train-mlogloss:0.578564 eval-mlogloss:0.597155
[286] train-mlogloss:0.578172 eval-mlogloss:0.596660
[287] train-mlogloss:0.577805 eval-mlogloss:0.596328
[288] train-mlogloss:0.577410 eval-mlogloss:0.595994
[289] train-mlogloss:0.577034 eval-mlogloss:0.595657
[290] train-mlogloss:0.576676 eval-mlogloss:0.595448
[291] train-mlogloss:0.576292 eval-mlogloss:0.595100
[292] train-mlogloss:0.575982 eval-mlogloss:0.594811
[293] train-mlogloss:0.575621 eval-mlogloss:0.594515
[294] train-mlogloss:0.575291 eval-mlogloss:0.594075
[295] train-mlogloss:0.574920 eval-mlogloss:0.593657
[296] train-mlogloss:0.574586 eval-mlogloss:0.593441
[297] train-mlogloss:0.574250 eval-mlogloss:0.593276
[298] train-mlogloss:0.573891 eval-mlogloss:0.593046
[299] train-mlogloss:0.573502 eval-mlogloss:0.592695
[300] train-mlogloss:0.573169 eval-mlogloss:0.592485
[301] train-mlogloss:0.572809 eval-mlogloss:0.592193
[302] train-mlogloss:0.572429 eval-mlogloss:0.591888
[303] train-mlogloss:0.572100 eval-mlogloss:0.591601
[304] train-mlogloss:0.571731 eval-mlogloss:0.591206
[305] train-mlogloss:0.571345 eval-mlogloss:0.590836
[306] train-mlogloss:0.570978 eval-mlogloss:0.590598
[307] train-mlogloss:0.570627 eval-mlogloss:0.590330
[308] train-mlogloss:0.570251 eval-mlogloss:0.590024
[309] train-mlogloss:0.569934 eval-mlogloss:0.589747
[310] train-mlogloss:0.569540 eval-mlogloss:0.589449
[311] train-mlogloss:0.569232 eval-mlogloss:0.589265
[312] train-mlogloss:0.568901 eval-mlogloss:0.588999
[313] train-mlogloss:0.568547 eval-mlogloss:0.588721
[314] train-mlogloss:0.568242 eval-mlogloss:0.588495
[315] train-mlogloss:0.567826 eval-mlogloss:0.588200
[316] train-mlogloss:0.567530 eval-mlogloss:0.587940
[317] train-mlogloss:0.567185 eval-mlogloss:0.587681
[318] train-mlogloss:0.566864 eval-mlogloss:0.587395
[319] train-mlogloss:0.566513 eval-mlogloss:0.587142
[320] train-mlogloss:0.566143 eval-mlogloss:0.586891
[321] train-mlogloss:0.565771 eval-mlogloss:0.586582
[322] train-mlogloss:0.565386 eval-mlogloss:0.586306
[323] train-mlogloss:0.565051 eval-mlogloss:0.585963
[324] train-mlogloss:0.564734 eval-mlogloss:0.585724
[325] train-mlogloss:0.564405 eval-mlogloss:0.585391
[326] train-mlogloss:0.564004 eval-mlogloss:0.585029
[327] train-mlogloss:0.563668 eval-mlogloss:0.584789
[328] train-mlogloss:0.563331 eval-mlogloss:0.584543
[329] train-mlogloss:0.563023 eval-mlogloss:0.584262
[330] train-mlogloss:0.562741 eval-mlogloss:0.584035
[331] train-mlogloss:0.562420 eval-mlogloss:0.583812
[332] train-mlogloss:0.562111 eval-mlogloss:0.583494
[333] train-mlogloss:0.561825 eval-mlogloss:0.583299
[334] train-mlogloss:0.561499 eval-mlogloss:0.582906
[335] train-mlogloss:0.561209 eval-mlogloss:0.582646
[336] train-mlogloss:0.560838 eval-mlogloss:0.582282
[337] train-mlogloss:0.560554 eval-mlogloss:0.582072
[338] train-mlogloss:0.560235 eval-mlogloss:0.581930
[339] train-mlogloss:0.559924 eval-mlogloss:0.581689
[340] train-mlogloss:0.559628 eval-mlogloss:0.581350
[341] train-mlogloss:0.559298 eval-mlogloss:0.581076
[342] train-mlogloss:0.558945 eval-mlogloss:0.580845
[343] train-mlogloss:0.558624 eval-mlogloss:0.580585
[344] train-mlogloss:0.558307 eval-mlogloss:0.580318
[345] train-mlogloss:0.558041 eval-mlogloss:0.580076
[346] train-mlogloss:0.557743 eval-mlogloss:0.579812
[347] train-mlogloss:0.557452 eval-mlogloss:0.579651
[348] train-mlogloss:0.557122 eval-mlogloss:0.579375
[349] train-mlogloss:0.556842 eval-mlogloss:0.579128
[350] train-mlogloss:0.556559 eval-mlogloss:0.578955
[351] train-mlogloss:0.556315 eval-mlogloss:0.578753
[352] train-mlogloss:0.556019 eval-mlogloss:0.578495
[353] train-mlogloss:0.555722 eval-mlogloss:0.578266
[354] train-mlogloss:0.555392 eval-mlogloss:0.578097
[355] train-mlogloss:0.555100 eval-mlogloss:0.577778
[356] train-mlogloss:0.554795 eval-mlogloss:0.577631
[357] train-mlogloss:0.554479 eval-mlogloss:0.577344
[358] train-mlogloss:0.554195 eval-mlogloss:0.577104
[359] train-mlogloss:0.553897 eval-mlogloss:0.576844
[360] train-mlogloss:0.553641 eval-mlogloss:0.576701
[361] train-mlogloss:0.553384 eval-mlogloss:0.576526
[362] train-mlogloss:0.553090 eval-mlogloss:0.576255
[363] train-mlogloss:0.552802 eval-mlogloss:0.576066
[364] train-mlogloss:0.552496 eval-mlogloss:0.575849
[365] train-mlogloss:0.552204 eval-mlogloss:0.575661
[366] train-mlogloss:0.551914 eval-mlogloss:0.575444
[367] train-mlogloss:0.551665 eval-mlogloss:0.575278
[368] train-mlogloss:0.551411 eval-mlogloss:0.575070
[369] train-mlogloss:0.551102 eval-mlogloss:0.574845
[370] train-mlogloss:0.550853 eval-mlogloss:0.574652
[371] train-mlogloss:0.550555 eval-mlogloss:0.574445
[372] train-mlogloss:0.550277 eval-mlogloss:0.574265
[373] train-mlogloss:0.549962 eval-mlogloss:0.574002
[374] train-mlogloss:0.549737 eval-mlogloss:0.573829
[375] train-mlogloss:0.549457 eval-mlogloss:0.573627
[376] train-mlogloss:0.549166 eval-mlogloss:0.573443
[377] train-mlogloss:0.548905 eval-mlogloss:0.573280
[378] train-mlogloss:0.548648 eval-mlogloss:0.573060
[379] train-mlogloss:0.548381 eval-mlogloss:0.572795
[380] train-mlogloss:0.548106 eval-mlogloss:0.572604
[381] train-mlogloss:0.547868 eval-mlogloss:0.572479
[382] train-mlogloss:0.547581 eval-mlogloss:0.572237
[383] train-mlogloss:0.547329 eval-mlogloss:0.572064
[384] train-mlogloss:0.547065 eval-mlogloss:0.571834
[385] train-mlogloss:0.546831 eval-mlogloss:0.571693
[386] train-mlogloss:0.546584 eval-mlogloss:0.571541
[387] train-mlogloss:0.546285 eval-mlogloss:0.571387
[388] train-mlogloss:0.546027 eval-mlogloss:0.571194
[389] train-mlogloss:0.545748 eval-mlogloss:0.571071
[390] train-mlogloss:0.545481 eval-mlogloss:0.570882
[391] train-mlogloss:0.545268 eval-mlogloss:0.570686
[392] train-mlogloss:0.545014 eval-mlogloss:0.570524
[393] train-mlogloss:0.544797 eval-mlogloss:0.570376
[394] train-mlogloss:0.544562 eval-mlogloss:0.570239
[395] train-mlogloss:0.544318 eval-mlogloss:0.570003
[396] train-mlogloss:0.544044 eval-mlogloss:0.569875
[397] train-mlogloss:0.543785 eval-mlogloss:0.569705
[398] train-mlogloss:0.543531 eval-mlogloss:0.569474
[399] train-mlogloss:0.543240 eval-mlogloss:0.569318
[400] train-mlogloss:0.543005 eval-mlogloss:0.569210
[401] train-mlogloss:0.542706 eval-mlogloss:0.568968
[402] train-mlogloss:0.542455 eval-mlogloss:0.568775
[403] train-mlogloss:0.542257 eval-mlogloss:0.568640
[404] train-mlogloss:0.542018 eval-mlogloss:0.568433
[405] train-mlogloss:0.541762 eval-mlogloss:0.568238
[406] train-mlogloss:0.541540 eval-mlogloss:0.568063
[407] train-mlogloss:0.541312 eval-mlogloss:0.567909
[408] train-mlogloss:0.541041 eval-mlogloss:0.567696
[409] train-mlogloss:0.540844 eval-mlogloss:0.567610
[410] train-mlogloss:0.540625 eval-mlogloss:0.567475
[411] train-mlogloss:0.540386 eval-mlogloss:0.567305
[412] train-mlogloss:0.540120 eval-mlogloss:0.567133
[413] train-mlogloss:0.539855 eval-mlogloss:0.566971
[414] train-mlogloss:0.539583 eval-mlogloss:0.566736
[415] train-mlogloss:0.539304 eval-mlogloss:0.566486
[416] train-mlogloss:0.539058 eval-mlogloss:0.566294
[417] train-mlogloss:0.538825 eval-mlogloss:0.566146
[418] train-mlogloss:0.538598 eval-mlogloss:0.565954
[419] train-mlogloss:0.538329 eval-mlogloss:0.565734
[420] train-mlogloss:0.538104 eval-mlogloss:0.565554
[421] train-mlogloss:0.537865 eval-mlogloss:0.565371
[422] train-mlogloss:0.537644 eval-mlogloss:0.565210
[423] train-mlogloss:0.537393 eval-mlogloss:0.564976
[424] train-mlogloss:0.537151 eval-mlogloss:0.564779
[425] train-mlogloss:0.536909 eval-mlogloss:0.564611
[426] train-mlogloss:0.536669 eval-mlogloss:0.564483
[427] train-mlogloss:0.536468 eval-mlogloss:0.564336
[428] train-mlogloss:0.536240 eval-mlogloss:0.564068
[429] train-mlogloss:0.535948 eval-mlogloss:0.563927
[430] train-mlogloss:0.535720 eval-mlogloss:0.563765
[431] train-mlogloss:0.535503 eval-mlogloss:0.563569
[432] train-mlogloss:0.535276 eval-mlogloss:0.563386
[433] train-mlogloss:0.535067 eval-mlogloss:0.563281
[434] train-mlogloss:0.534824 eval-mlogloss:0.563105
[435] train-mlogloss:0.534575 eval-mlogloss:0.562900
[436] train-mlogloss:0.534357 eval-mlogloss:0.562747
[437] train-mlogloss:0.534110 eval-mlogloss:0.562539
[438] train-mlogloss:0.533880 eval-mlogloss:0.562409
[439] train-mlogloss:0.533653 eval-mlogloss:0.562217
[440] train-mlogloss:0.533407 eval-mlogloss:0.562030
[441] train-mlogloss:0.533188 eval-mlogloss:0.561882
[442] train-mlogloss:0.532961 eval-mlogloss:0.561749
[443] train-mlogloss:0.532752 eval-mlogloss:0.561629
[444] train-mlogloss:0.532539 eval-mlogloss:0.561460
[445] train-mlogloss:0.532336 eval-mlogloss:0.561363
[446] train-mlogloss:0.532071 eval-mlogloss:0.561205
[447] train-mlogloss:0.531867 eval-mlogloss:0.561064
[448] train-mlogloss:0.531654 eval-mlogloss:0.560876
[449] train-mlogloss:0.531449 eval-mlogloss:0.560770
[450] train-mlogloss:0.531267 eval-mlogloss:0.560638
[451] train-mlogloss:0.531061 eval-mlogloss:0.560459
[452] train-mlogloss:0.530807 eval-mlogloss:0.560292
[453] train-mlogloss:0.530548 eval-mlogloss:0.560150
[454] train-mlogloss:0.530317 eval-mlogloss:0.559954
[455] train-mlogloss:0.530117 eval-mlogloss:0.559802
[456] train-mlogloss:0.529939 eval-mlogloss:0.559690
[457] train-mlogloss:0.529744 eval-mlogloss:0.559484
[458] train-mlogloss:0.529511 eval-mlogloss:0.559361
[459] train-mlogloss:0.529237 eval-mlogloss:0.559135
[460] train-mlogloss:0.529054 eval-mlogloss:0.559070
[461] train-mlogloss:0.528848 eval-mlogloss:0.558964
[462] train-mlogloss:0.528597 eval-mlogloss:0.558815
[463] train-mlogloss:0.528379 eval-mlogloss:0.558696
[464] train-mlogloss:0.528218 eval-mlogloss:0.558559
[465] train-mlogloss:0.527988 eval-mlogloss:0.558303
[466] train-mlogloss:0.527796 eval-mlogloss:0.558150
[467] train-mlogloss:0.527570 eval-mlogloss:0.557969
[468] train-mlogloss:0.527348 eval-mlogloss:0.557772
[469] train-mlogloss:0.527150 eval-mlogloss:0.557652
[470] train-mlogloss:0.526939 eval-mlogloss:0.557503
[471] train-mlogloss:0.526712 eval-mlogloss:0.557320
[472] train-mlogloss:0.526492 eval-mlogloss:0.557168
[473] train-mlogloss:0.526314 eval-mlogloss:0.557051
[474] train-mlogloss:0.526115 eval-mlogloss:0.556971
[475] train-mlogloss:0.525900 eval-mlogloss:0.556812
[476] train-mlogloss:0.525711 eval-mlogloss:0.556657
[477] train-mlogloss:0.525491 eval-mlogloss:0.556523
[478] train-mlogloss:0.525273 eval-mlogloss:0.556387
[479] train-mlogloss:0.525091 eval-mlogloss:0.556125
[480] train-mlogloss:0.524884 eval-mlogloss:0.555993
[481] train-mlogloss:0.524681 eval-mlogloss:0.555848
[482] train-mlogloss:0.524438 eval-mlogloss:0.555699
[483] train-mlogloss:0.524235 eval-mlogloss:0.555512
[484] train-mlogloss:0.524077 eval-mlogloss:0.555384
[485] train-mlogloss:0.523873 eval-mlogloss:0.555251
[486] train-mlogloss:0.523701 eval-mlogloss:0.555148
[487] train-mlogloss:0.523509 eval-mlogloss:0.555010
[488] train-mlogloss:0.523305 eval-mlogloss:0.554946
[489] train-mlogloss:0.523119 eval-mlogloss:0.554850
[490] train-mlogloss:0.522923 eval-mlogloss:0.554724
[491] train-mlogloss:0.522687 eval-mlogloss:0.554639
[492] train-mlogloss:0.522508 eval-mlogloss:0.554559
[493] train-mlogloss:0.522291 eval-mlogloss:0.554420
[494] train-mlogloss:0.522032 eval-mlogloss:0.554145
[495] train-mlogloss:0.521840 eval-mlogloss:0.554060
[496] train-mlogloss:0.521651 eval-mlogloss:0.553867
[497] train-mlogloss:0.521462 eval-mlogloss:0.553736
[498] train-mlogloss:0.521269 eval-mlogloss:0.553642
[499] train-mlogloss:0.521054 eval-mlogloss:0.553490
[500] train-mlogloss:0.520883 eval-mlogloss:0.553353
[501] train-mlogloss:0.520667 eval-mlogloss:0.553250
[502] train-mlogloss:0.520504 eval-mlogloss:0.553120
[503] train-mlogloss:0.520323 eval-mlogloss:0.553030
[504] train-mlogloss:0.520138 eval-mlogloss:0.552904
[505] train-mlogloss:0.519935 eval-mlogloss:0.552754
[506] train-mlogloss:0.519720 eval-mlogloss:0.552586
[507] train-mlogloss:0.519526 eval-mlogloss:0.552501
[508] train-mlogloss:0.519336 eval-mlogloss:0.552369
[509] train-mlogloss:0.519169 eval-mlogloss:0.552257
[510] train-mlogloss:0.519007 eval-mlogloss:0.552194
[511] train-mlogloss:0.518846 eval-mlogloss:0.552124
[512] train-mlogloss:0.518646 eval-mlogloss:0.551937
[513] train-mlogloss:0.518483 eval-mlogloss:0.551835
[514] train-mlogloss:0.518284 eval-mlogloss:0.551718
[515] train-mlogloss:0.518095 eval-mlogloss:0.551539
[516] train-mlogloss:0.517891 eval-mlogloss:0.551412
[517] train-mlogloss:0.517680 eval-mlogloss:0.551350
[518] train-mlogloss:0.517521 eval-mlogloss:0.551205
[519] train-mlogloss:0.517357 eval-mlogloss:0.551089
[520] train-mlogloss:0.517183 eval-mlogloss:0.551014
[521] train-mlogloss:0.516998 eval-mlogloss:0.550898
[522] train-mlogloss:0.516779 eval-mlogloss:0.550892
[523] train-mlogloss:0.516609 eval-mlogloss:0.550680
[524] train-mlogloss:0.516471 eval-mlogloss:0.550585
[525] train-mlogloss:0.516301 eval-mlogloss:0.550458
[526] train-mlogloss:0.516143 eval-mlogloss:0.550358
[527] train-mlogloss:0.515978 eval-mlogloss:0.550225
[528] train-mlogloss:0.515767 eval-mlogloss:0.550104
[529] train-mlogloss:0.515608 eval-mlogloss:0.549967
[530] train-mlogloss:0.515449 eval-mlogloss:0.549833
[531] train-mlogloss:0.515258 eval-mlogloss:0.549754
[532] train-mlogloss:0.515083 eval-mlogloss:0.549625
[533] train-mlogloss:0.514932 eval-mlogloss:0.549525
[534] train-mlogloss:0.514726 eval-mlogloss:0.549370
[535] train-mlogloss:0.514530 eval-mlogloss:0.549213
[536] train-mlogloss:0.514340 eval-mlogloss:0.549151
[537] train-mlogloss:0.514154 eval-mlogloss:0.549014
[538] train-mlogloss:0.513990 eval-mlogloss:0.548910
[539] train-mlogloss:0.513790 eval-mlogloss:0.548846
[540] train-mlogloss:0.513629 eval-mlogloss:0.548717
[541] train-mlogloss:0.513463 eval-mlogloss:0.548643
[542] train-mlogloss:0.513309 eval-mlogloss:0.548548
[543] train-mlogloss:0.513146 eval-mlogloss:0.548453
[544] train-mlogloss:0.512956 eval-mlogloss:0.548410
[545] train-mlogloss:0.512787 eval-mlogloss:0.548286
[546] train-mlogloss:0.512619 eval-mlogloss:0.548229
[547] train-mlogloss:0.512439 eval-mlogloss:0.548191
[548] train-mlogloss:0.512267 eval-mlogloss:0.548150
[549] train-mlogloss:0.512101 eval-mlogloss:0.548053
[550] train-mlogloss:0.511919 eval-mlogloss:0.547940
[551] train-mlogloss:0.511721 eval-mlogloss:0.547847
[552] train-mlogloss:0.511513 eval-mlogloss:0.547740
[553] train-mlogloss:0.511342 eval-mlogloss:0.547609
[554] train-mlogloss:0.511160 eval-mlogloss:0.547447
[555] train-mlogloss:0.511000 eval-mlogloss:0.547356
[556] train-mlogloss:0.510816 eval-mlogloss:0.547281
[557] train-mlogloss:0.510649 eval-mlogloss:0.547196
[558] train-mlogloss:0.510472 eval-mlogloss:0.547097
[559] train-mlogloss:0.510271 eval-mlogloss:0.546923
[560] train-mlogloss:0.510112 eval-mlogloss:0.546798
[561] train-mlogloss:0.509932 eval-mlogloss:0.546630
[562] train-mlogloss:0.509778 eval-mlogloss:0.546523
[563] train-mlogloss:0.509629 eval-mlogloss:0.546373
[564] train-mlogloss:0.509462 eval-mlogloss:0.546278
[565] train-mlogloss:0.509288 eval-mlogloss:0.546172
[566] train-mlogloss:0.509137 eval-mlogloss:0.546067
[567] train-mlogloss:0.508989 eval-mlogloss:0.546048
[568] train-mlogloss:0.508804 eval-mlogloss:0.545876
[569] train-mlogloss:0.508653 eval-mlogloss:0.545756
[570] train-mlogloss:0.508507 eval-mlogloss:0.545707
[571] train-mlogloss:0.508363 eval-mlogloss:0.545614
[572] train-mlogloss:0.508183 eval-mlogloss:0.545493
[573] train-mlogloss:0.508035 eval-mlogloss:0.545466
[574] train-mlogloss:0.507878 eval-mlogloss:0.545395
[575] train-mlogloss:0.507706 eval-mlogloss:0.545240
[576] train-mlogloss:0.507565 eval-mlogloss:0.545121
[577] train-mlogloss:0.507435 eval-mlogloss:0.545093
[578] train-mlogloss:0.507318 eval-mlogloss:0.545045
[579] train-mlogloss:0.507134 eval-mlogloss:0.544881
[580] train-mlogloss:0.506998 eval-mlogloss:0.544754
[581] train-mlogloss:0.506869 eval-mlogloss:0.544652
[582] train-mlogloss:0.506704 eval-mlogloss:0.544579
[583] train-mlogloss:0.506526 eval-mlogloss:0.544513
[584] train-mlogloss:0.506389 eval-mlogloss:0.544405
[585] train-mlogloss:0.506231 eval-mlogloss:0.544306
[586] train-mlogloss:0.506063 eval-mlogloss:0.544156
[587] train-mlogloss:0.505870 eval-mlogloss:0.544060
[588] train-mlogloss:0.505736 eval-mlogloss:0.544018
[589] train-mlogloss:0.505567 eval-mlogloss:0.543954
[590] train-mlogloss:0.505419 eval-mlogloss:0.543889
[591] train-mlogloss:0.505250 eval-mlogloss:0.543879
[592] train-mlogloss:0.505088 eval-mlogloss:0.543775
[593] train-mlogloss:0.504929 eval-mlogloss:0.543694
[594] train-mlogloss:0.504776 eval-mlogloss:0.543575
[595] train-mlogloss:0.504597 eval-mlogloss:0.543507
[596] train-mlogloss:0.504422 eval-mlogloss:0.543304
[597] train-mlogloss:0.504265 eval-mlogloss:0.543179
[598] train-mlogloss:0.504044 eval-mlogloss:0.542981
[599] train-mlogloss:0.503907 eval-mlogloss:0.542891
[600] train-mlogloss:0.503740 eval-mlogloss:0.542838
[601] train-mlogloss:0.503584 eval-mlogloss:0.542721
[602] train-mlogloss:0.503450 eval-mlogloss:0.542596
[603] train-mlogloss:0.503319 eval-mlogloss:0.542509
[604] train-mlogloss:0.503148 eval-mlogloss:0.542442
[605] train-mlogloss:0.503020 eval-mlogloss:0.542338
[606] train-mlogloss:0.502846 eval-mlogloss:0.542308
[607] train-mlogloss:0.502681 eval-mlogloss:0.542219
[608] train-mlogloss:0.502529 eval-mlogloss:0.542108
[609] train-mlogloss:0.502355 eval-mlogloss:0.542032
[610] train-mlogloss:0.502203 eval-mlogloss:0.541963
[611] train-mlogloss:0.502057 eval-mlogloss:0.541852
[612] train-mlogloss:0.501871 eval-mlogloss:0.541715
[613] train-mlogloss:0.501740 eval-mlogloss:0.541604
[614] train-mlogloss:0.501601 eval-mlogloss:0.541529
[615] train-mlogloss:0.501460 eval-mlogloss:0.541409
[616] train-mlogloss:0.501324 eval-mlogloss:0.541324
[617] train-mlogloss:0.501168 eval-mlogloss:0.541264
[618] train-mlogloss:0.500999 eval-mlogloss:0.541200
[619] train-mlogloss:0.500869 eval-mlogloss:0.541166
[620] train-mlogloss:0.500696 eval-mlogloss:0.541061
[621] train-mlogloss:0.500561 eval-mlogloss:0.541008
[622] train-mlogloss:0.500420 eval-mlogloss:0.540902
[623] train-mlogloss:0.500264 eval-mlogloss:0.540778
[624] train-mlogloss:0.500108 eval-mlogloss:0.540730
[625] train-mlogloss:0.499938 eval-mlogloss:0.540664
[626] train-mlogloss:0.499821 eval-mlogloss:0.540591
[627] train-mlogloss:0.499684 eval-mlogloss:0.540554
[628] train-mlogloss:0.499500 eval-mlogloss:0.540508
[629] train-mlogloss:0.499363 eval-mlogloss:0.540411
[630] train-mlogloss:0.499195 eval-mlogloss:0.540301
[631] train-mlogloss:0.499039 eval-mlogloss:0.540235
[632] train-mlogloss:0.498885 eval-mlogloss:0.540092
[633] train-mlogloss:0.498733 eval-mlogloss:0.539997
[634] train-mlogloss:0.498607 eval-mlogloss:0.539930
[635] train-mlogloss:0.498486 eval-mlogloss:0.539838
[636] train-mlogloss:0.498360 eval-mlogloss:0.539721
[637] train-mlogloss:0.498224 eval-mlogloss:0.539680
[638] train-mlogloss:0.498089 eval-mlogloss:0.539572
[639] train-mlogloss:0.497967 eval-mlogloss:0.539477
Training with params :
{'eta': 0.1, 'eval_metric': 'mlogloss', 'colsample_bytree': 1.0, 'max_depth': 2.0, 'silent': 1, 'subsample': 0.6000000000000001, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 641.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.5394066495547194
[640] train-mlogloss:0.497829 eval-mlogloss:0.539407
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.661219 eval-mlogloss:1.687792
[1] train-mlogloss:1.385520 eval-mlogloss:1.428874
[2] train-mlogloss:1.189140 eval-mlogloss:1.245925
[3] train-mlogloss:1.044403 eval-mlogloss:1.111474
[4] train-mlogloss:0.931804 eval-mlogloss:1.009096
[5] train-mlogloss:0.840799 eval-mlogloss:0.928516
[6] train-mlogloss:0.765589 eval-mlogloss:0.862888
[7] train-mlogloss:0.703140 eval-mlogloss:0.808959
[8] train-mlogloss:0.651571 eval-mlogloss:0.766086
[9] train-mlogloss:0.607486 eval-mlogloss:0.729013
[10] train-mlogloss:0.569969 eval-mlogloss:0.697869
[11] train-mlogloss:0.539300 eval-mlogloss:0.672477
[12] train-mlogloss:0.511660 eval-mlogloss:0.651001
[13] train-mlogloss:0.487413 eval-mlogloss:0.632473
[14] train-mlogloss:0.465773 eval-mlogloss:0.616627
[15] train-mlogloss:0.445567 eval-mlogloss:0.602452
[16] train-mlogloss:0.428869 eval-mlogloss:0.590352
[17] train-mlogloss:0.414093 eval-mlogloss:0.579925
[18] train-mlogloss:0.401398 eval-mlogloss:0.571109
[19] train-mlogloss:0.388830 eval-mlogloss:0.562951
[20] train-mlogloss:0.378935 eval-mlogloss:0.555921
[21] train-mlogloss:0.370042 eval-mlogloss:0.549705
[22] train-mlogloss:0.360692 eval-mlogloss:0.543662
[23] train-mlogloss:0.353335 eval-mlogloss:0.538619
[24] train-mlogloss:0.346873 eval-mlogloss:0.534186
[25] train-mlogloss:0.341103 eval-mlogloss:0.530103
[26] train-mlogloss:0.335628 eval-mlogloss:0.526644
[27] train-mlogloss:0.330536 eval-mlogloss:0.523607
[28] train-mlogloss:0.324746 eval-mlogloss:0.520417
[29] train-mlogloss:0.319864 eval-mlogloss:0.517339
[30] train-mlogloss:0.314504 eval-mlogloss:0.514825
[31] train-mlogloss:0.310132 eval-mlogloss:0.512610
[32] train-mlogloss:0.304542 eval-mlogloss:0.510134
[33] train-mlogloss:0.300235 eval-mlogloss:0.507589
[34] train-mlogloss:0.297148 eval-mlogloss:0.505911
[35] train-mlogloss:0.293426 eval-mlogloss:0.504149
[36] train-mlogloss:0.290213 eval-mlogloss:0.502285
[37] train-mlogloss:0.285650 eval-mlogloss:0.500632
[38] train-mlogloss:0.280465 eval-mlogloss:0.498680
[39] train-mlogloss:0.276696 eval-mlogloss:0.497203
[40] train-mlogloss:0.273671 eval-mlogloss:0.495931
[41] train-mlogloss:0.270432 eval-mlogloss:0.494652
[42] train-mlogloss:0.267400 eval-mlogloss:0.493744
[43] train-mlogloss:0.264683 eval-mlogloss:0.492651
[44] train-mlogloss:0.262135 eval-mlogloss:0.491370
[45] train-mlogloss:0.259295 eval-mlogloss:0.490632
[46] train-mlogloss:0.255880 eval-mlogloss:0.489384
[47] train-mlogloss:0.253153 eval-mlogloss:0.488117
[48] train-mlogloss:0.251204 eval-mlogloss:0.487275
[49] train-mlogloss:0.248978 eval-mlogloss:0.486468
[50] train-mlogloss:0.246817 eval-mlogloss:0.485847
[51] train-mlogloss:0.244715 eval-mlogloss:0.485224
[52] train-mlogloss:0.242138 eval-mlogloss:0.484227
[53] train-mlogloss:0.239883 eval-mlogloss:0.483339
[54] train-mlogloss:0.236683 eval-mlogloss:0.482560
[55] train-mlogloss:0.234370 eval-mlogloss:0.481778
[56] train-mlogloss:0.232521 eval-mlogloss:0.481195
[57] train-mlogloss:0.231523 eval-mlogloss:0.480808
[58] train-mlogloss:0.229617 eval-mlogloss:0.480182
[59] train-mlogloss:0.227393 eval-mlogloss:0.479649
[60] train-mlogloss:0.226095 eval-mlogloss:0.479219
[61] train-mlogloss:0.224286 eval-mlogloss:0.478631
[62] train-mlogloss:0.222542 eval-mlogloss:0.478266
[63] train-mlogloss:0.220510 eval-mlogloss:0.477787
[64] train-mlogloss:0.218286 eval-mlogloss:0.477287
[65] train-mlogloss:0.217298 eval-mlogloss:0.477098
[66] train-mlogloss:0.215257 eval-mlogloss:0.476498
[67] train-mlogloss:0.213963 eval-mlogloss:0.476117
[68] train-mlogloss:0.212416 eval-mlogloss:0.475925
[69] train-mlogloss:0.211161 eval-mlogloss:0.475633
[70] train-mlogloss:0.209737 eval-mlogloss:0.475166
[71] train-mlogloss:0.209258 eval-mlogloss:0.475069
[72] train-mlogloss:0.207634 eval-mlogloss:0.474791
[73] train-mlogloss:0.205634 eval-mlogloss:0.474329
[74] train-mlogloss:0.204561 eval-mlogloss:0.474095
[75] train-mlogloss:0.203153 eval-mlogloss:0.473864
[76] train-mlogloss:0.201604 eval-mlogloss:0.473517
[77] train-mlogloss:0.199746 eval-mlogloss:0.473411
[78] train-mlogloss:0.198882 eval-mlogloss:0.473053
[79] train-mlogloss:0.197416 eval-mlogloss:0.473179
[80] train-mlogloss:0.195768 eval-mlogloss:0.473080
[81] train-mlogloss:0.194058 eval-mlogloss:0.472972
[82] train-mlogloss:0.192731 eval-mlogloss:0.472535
[83] train-mlogloss:0.191898 eval-mlogloss:0.472509
[84] train-mlogloss:0.190381 eval-mlogloss:0.472200
[85] train-mlogloss:0.189512 eval-mlogloss:0.471993
[86] train-mlogloss:0.188662 eval-mlogloss:0.472007
[87] train-mlogloss:0.187619 eval-mlogloss:0.471795
[88] train-mlogloss:0.186425 eval-mlogloss:0.471575
[89] train-mlogloss:0.185685 eval-mlogloss:0.471424
[90] train-mlogloss:0.183864 eval-mlogloss:0.471132
[91] train-mlogloss:0.182860 eval-mlogloss:0.470988
[92] train-mlogloss:0.181876 eval-mlogloss:0.470728
[93] train-mlogloss:0.180930 eval-mlogloss:0.470449
[94] train-mlogloss:0.179543 eval-mlogloss:0.470133
[95] train-mlogloss:0.179040 eval-mlogloss:0.469927
[96] train-mlogloss:0.178264 eval-mlogloss:0.469559
[97] train-mlogloss:0.177015 eval-mlogloss:0.469484
[98] train-mlogloss:0.176385 eval-mlogloss:0.469282
[99] train-mlogloss:0.176020 eval-mlogloss:0.469234
[100] train-mlogloss:0.175293 eval-mlogloss:0.469128
[101] train-mlogloss:0.174572 eval-mlogloss:0.468844
[102] train-mlogloss:0.173537 eval-mlogloss:0.468888
[103] train-mlogloss:0.172407 eval-mlogloss:0.468569
[104] train-mlogloss:0.172058 eval-mlogloss:0.468490
[105] train-mlogloss:0.170966 eval-mlogloss:0.468455
[106] train-mlogloss:0.170150 eval-mlogloss:0.468527
[107] train-mlogloss:0.169556 eval-mlogloss:0.468629
[108] train-mlogloss:0.168977 eval-mlogloss:0.468402
[109] train-mlogloss:0.168502 eval-mlogloss:0.468353
[110] train-mlogloss:0.167907 eval-mlogloss:0.468219
[111] train-mlogloss:0.166934 eval-mlogloss:0.467911
[112] train-mlogloss:0.166326 eval-mlogloss:0.467845
[113] train-mlogloss:0.165811 eval-mlogloss:0.467602
[114] train-mlogloss:0.165089 eval-mlogloss:0.467593
[115] train-mlogloss:0.164649 eval-mlogloss:0.467450
[116] train-mlogloss:0.163829 eval-mlogloss:0.467481
[117] train-mlogloss:0.163355 eval-mlogloss:0.467362
[118] train-mlogloss:0.162776 eval-mlogloss:0.467563
[119] train-mlogloss:0.162171 eval-mlogloss:0.467448
[120] train-mlogloss:0.161672 eval-mlogloss:0.467577
[121] train-mlogloss:0.161288 eval-mlogloss:0.467503
[122] train-mlogloss:0.160441 eval-mlogloss:0.467645
[123] train-mlogloss:0.159730 eval-mlogloss:0.467461
[124] train-mlogloss:0.159066 eval-mlogloss:0.467536
[125] train-mlogloss:0.158804 eval-mlogloss:0.467407
[126] train-mlogloss:0.158631 eval-mlogloss:0.467348
[127] train-mlogloss:0.158279 eval-mlogloss:0.467480
[128] train-mlogloss:0.157200 eval-mlogloss:0.467556
[129] train-mlogloss:0.156519 eval-mlogloss:0.467500
[130] train-mlogloss:0.155780 eval-mlogloss:0.467543
[131] train-mlogloss:0.154987 eval-mlogloss:0.467630
[132] train-mlogloss:0.154613 eval-mlogloss:0.467545
[133] train-mlogloss:0.154083 eval-mlogloss:0.467321
[134] train-mlogloss:0.153820 eval-mlogloss:0.467061
[135] train-mlogloss:0.153098 eval-mlogloss:0.467138
[136] train-mlogloss:0.152551 eval-mlogloss:0.467191
[137] train-mlogloss:0.152128 eval-mlogloss:0.467262
[138] train-mlogloss:0.151365 eval-mlogloss:0.467155
[139] train-mlogloss:0.151013 eval-mlogloss:0.467005
[140] train-mlogloss:0.150655 eval-mlogloss:0.467023
[141] train-mlogloss:0.150359 eval-mlogloss:0.467015
[142] train-mlogloss:0.149591 eval-mlogloss:0.467058
[143] train-mlogloss:0.149208 eval-mlogloss:0.467014
[144] train-mlogloss:0.148968 eval-mlogloss:0.467031
[145] train-mlogloss:0.148466 eval-mlogloss:0.466971
[146] train-mlogloss:0.148189 eval-mlogloss:0.466986
[147] train-mlogloss:0.147761 eval-mlogloss:0.466966
[148] train-mlogloss:0.146895 eval-mlogloss:0.467010
[149] train-mlogloss:0.146386 eval-mlogloss:0.466887
[150] train-mlogloss:0.145889 eval-mlogloss:0.466929
[151] train-mlogloss:0.145626 eval-mlogloss:0.467049
[152] train-mlogloss:0.145315 eval-mlogloss:0.467043
[153] train-mlogloss:0.144514 eval-mlogloss:0.467282
[154] train-mlogloss:0.143773 eval-mlogloss:0.467112
[155] train-mlogloss:0.143382 eval-mlogloss:0.467118
[156] train-mlogloss:0.143278 eval-mlogloss:0.467084
[157] train-mlogloss:0.142928 eval-mlogloss:0.467204
[158] train-mlogloss:0.142416 eval-mlogloss:0.467128
[159] train-mlogloss:0.141853 eval-mlogloss:0.467148
Training with params :
{'eta': 0.225, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9, 'max_depth': 10.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 819.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.46714755656078166
Stopping. Best iteration:
[149] train-mlogloss:0.146386 eval-mlogloss:0.466887
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.095997 eval-mlogloss:2.096916
[1] train-mlogloss:2.016969 eval-mlogloss:2.018269
[2] train-mlogloss:1.939236 eval-mlogloss:1.940912
[3] train-mlogloss:1.875059 eval-mlogloss:1.877060
[4] train-mlogloss:1.814607 eval-mlogloss:1.816700
[5] train-mlogloss:1.762323 eval-mlogloss:1.764922
[6] train-mlogloss:1.713485 eval-mlogloss:1.716723
[7] train-mlogloss:1.661674 eval-mlogloss:1.665639
[8] train-mlogloss:1.614648 eval-mlogloss:1.619224
[9] train-mlogloss:1.570102 eval-mlogloss:1.575079
[10] train-mlogloss:1.529675 eval-mlogloss:1.534919
[11] train-mlogloss:1.493852 eval-mlogloss:1.499604
[12] train-mlogloss:1.460596 eval-mlogloss:1.466644
[13] train-mlogloss:1.425658 eval-mlogloss:1.432446
[14] train-mlogloss:1.392177 eval-mlogloss:1.399280
[15] train-mlogloss:1.361519 eval-mlogloss:1.368998
[16] train-mlogloss:1.332784 eval-mlogloss:1.340629
[17] train-mlogloss:1.305890 eval-mlogloss:1.314114
[18] train-mlogloss:1.280118 eval-mlogloss:1.288837
[19] train-mlogloss:1.255049 eval-mlogloss:1.264082
[20] train-mlogloss:1.232114 eval-mlogloss:1.241578
[21] train-mlogloss:1.209907 eval-mlogloss:1.219545
[22] train-mlogloss:1.187278 eval-mlogloss:1.197289
[23] train-mlogloss:1.169045 eval-mlogloss:1.179388
[24] train-mlogloss:1.148613 eval-mlogloss:1.159178
[25] train-mlogloss:1.130344 eval-mlogloss:1.141262
[26] train-mlogloss:1.112695 eval-mlogloss:1.123800
[27] train-mlogloss:1.096549 eval-mlogloss:1.107949
[28] train-mlogloss:1.080629 eval-mlogloss:1.092291
[29] train-mlogloss:1.066807 eval-mlogloss:1.079006
[30] train-mlogloss:1.051975 eval-mlogloss:1.064268
[31] train-mlogloss:1.038292 eval-mlogloss:1.050823
[32] train-mlogloss:1.024746 eval-mlogloss:1.037668
[33] train-mlogloss:1.010447 eval-mlogloss:1.023673
[34] train-mlogloss:0.996635 eval-mlogloss:1.010176
[35] train-mlogloss:0.983738 eval-mlogloss:0.997790
[36] train-mlogloss:0.971812 eval-mlogloss:0.986061
[37] train-mlogloss:0.960203 eval-mlogloss:0.974704
[38] train-mlogloss:0.948844 eval-mlogloss:0.963509
[39] train-mlogloss:0.937892 eval-mlogloss:0.952806
[40] train-mlogloss:0.927898 eval-mlogloss:0.943262
[41] train-mlogloss:0.917515 eval-mlogloss:0.933166
[42] train-mlogloss:0.907504 eval-mlogloss:0.923497
[43] train-mlogloss:0.897750 eval-mlogloss:0.913988
[44] train-mlogloss:0.888603 eval-mlogloss:0.905003
[45] train-mlogloss:0.879673 eval-mlogloss:0.896305
[46] train-mlogloss:0.871973 eval-mlogloss:0.888889
[47] train-mlogloss:0.863581 eval-mlogloss:0.880857
[48] train-mlogloss:0.855310 eval-mlogloss:0.872890
[49] train-mlogloss:0.846737 eval-mlogloss:0.864625
[50] train-mlogloss:0.839752 eval-mlogloss:0.857901
[51] train-mlogloss:0.832799 eval-mlogloss:0.851345
[52] train-mlogloss:0.825307 eval-mlogloss:0.844142
[53] train-mlogloss:0.818338 eval-mlogloss:0.837575
[54] train-mlogloss:0.811653 eval-mlogloss:0.831300
[55] train-mlogloss:0.804555 eval-mlogloss:0.824511
[56] train-mlogloss:0.797996 eval-mlogloss:0.818247
[57] train-mlogloss:0.791757 eval-mlogloss:0.812281
[58] train-mlogloss:0.785525 eval-mlogloss:0.806384
[59] train-mlogloss:0.779936 eval-mlogloss:0.800970
[60] train-mlogloss:0.774959 eval-mlogloss:0.796121
[61] train-mlogloss:0.769462 eval-mlogloss:0.790989
[62] train-mlogloss:0.764053 eval-mlogloss:0.785948
[63] train-mlogloss:0.758790 eval-mlogloss:0.781012
[64] train-mlogloss:0.753584 eval-mlogloss:0.776178
[65] train-mlogloss:0.748864 eval-mlogloss:0.771709
[66] train-mlogloss:0.743568 eval-mlogloss:0.766763
[67] train-mlogloss:0.738937 eval-mlogloss:0.762369
[68] train-mlogloss:0.733979 eval-mlogloss:0.757658
[69] train-mlogloss:0.729517 eval-mlogloss:0.753326
[70] train-mlogloss:0.724853 eval-mlogloss:0.749002
[71] train-mlogloss:0.720288 eval-mlogloss:0.744617
[72] train-mlogloss:0.716262 eval-mlogloss:0.740999
[73] train-mlogloss:0.712659 eval-mlogloss:0.737567
[74] train-mlogloss:0.708765 eval-mlogloss:0.733936
[75] train-mlogloss:0.704782 eval-mlogloss:0.730190
[76] train-mlogloss:0.701327 eval-mlogloss:0.727028
[77] train-mlogloss:0.697921 eval-mlogloss:0.723859
[78] train-mlogloss:0.694115 eval-mlogloss:0.720358
[79] train-mlogloss:0.690427 eval-mlogloss:0.717108
[80] train-mlogloss:0.687114 eval-mlogloss:0.714075
[81] train-mlogloss:0.683609 eval-mlogloss:0.710880
[82] train-mlogloss:0.680570 eval-mlogloss:0.707979
[83] train-mlogloss:0.677247 eval-mlogloss:0.704988
[84] train-mlogloss:0.674101 eval-mlogloss:0.702134
[85] train-mlogloss:0.671233 eval-mlogloss:0.699533
[86] train-mlogloss:0.667957 eval-mlogloss:0.696493
[87] train-mlogloss:0.664798 eval-mlogloss:0.693672
[88] train-mlogloss:0.661808 eval-mlogloss:0.690995
[89] train-mlogloss:0.659252 eval-mlogloss:0.688748
[90] train-mlogloss:0.656393 eval-mlogloss:0.686166
[91] train-mlogloss:0.653521 eval-mlogloss:0.683558
[92] train-mlogloss:0.650762 eval-mlogloss:0.681042
[93] train-mlogloss:0.647791 eval-mlogloss:0.678370
[94] train-mlogloss:0.645092 eval-mlogloss:0.675909
[95] train-mlogloss:0.642277 eval-mlogloss:0.673298
[96] train-mlogloss:0.640068 eval-mlogloss:0.671342
[97] train-mlogloss:0.637595 eval-mlogloss:0.669062
[98] train-mlogloss:0.635086 eval-mlogloss:0.666775
[99] train-mlogloss:0.632706 eval-mlogloss:0.664739
[100] train-mlogloss:0.630336 eval-mlogloss:0.662582
[101] train-mlogloss:0.628139 eval-mlogloss:0.660709
[102] train-mlogloss:0.625864 eval-mlogloss:0.658740
[103] train-mlogloss:0.623798 eval-mlogloss:0.657029
[104] train-mlogloss:0.621635 eval-mlogloss:0.654969
[105] train-mlogloss:0.619507 eval-mlogloss:0.653111
[106] train-mlogloss:0.617423 eval-mlogloss:0.651278
[107] train-mlogloss:0.615249 eval-mlogloss:0.649405
[108] train-mlogloss:0.613456 eval-mlogloss:0.647781
[109] train-mlogloss:0.611489 eval-mlogloss:0.645986
[110] train-mlogloss:0.609472 eval-mlogloss:0.644188
[111] train-mlogloss:0.607675 eval-mlogloss:0.642685
[112] train-mlogloss:0.605709 eval-mlogloss:0.640872
[113] train-mlogloss:0.603921 eval-mlogloss:0.639294
[114] train-mlogloss:0.602033 eval-mlogloss:0.637646
[115] train-mlogloss:0.600297 eval-mlogloss:0.636108
[116] train-mlogloss:0.598613 eval-mlogloss:0.634677
[117] train-mlogloss:0.596736 eval-mlogloss:0.633151
[118] train-mlogloss:0.595069 eval-mlogloss:0.631632
[119] train-mlogloss:0.593413 eval-mlogloss:0.630273
[120] train-mlogloss:0.591761 eval-mlogloss:0.628852
[121] train-mlogloss:0.589975 eval-mlogloss:0.627383
[122] train-mlogloss:0.588249 eval-mlogloss:0.625799
[123] train-mlogloss:0.586627 eval-mlogloss:0.624418
[124] train-mlogloss:0.585115 eval-mlogloss:0.623072
[125] train-mlogloss:0.583556 eval-mlogloss:0.621650
[126] train-mlogloss:0.582224 eval-mlogloss:0.620548
[127] train-mlogloss:0.580769 eval-mlogloss:0.619340
[128] train-mlogloss:0.579260 eval-mlogloss:0.618032
[129] train-mlogloss:0.577888 eval-mlogloss:0.616862
[130] train-mlogloss:0.576354 eval-mlogloss:0.615610
[131] train-mlogloss:0.574832 eval-mlogloss:0.614279
[132] train-mlogloss:0.573556 eval-mlogloss:0.613282
[133] train-mlogloss:0.572313 eval-mlogloss:0.612167
[134] train-mlogloss:0.571001 eval-mlogloss:0.611109
[135] train-mlogloss:0.569557 eval-mlogloss:0.609967
[136] train-mlogloss:0.568320 eval-mlogloss:0.608873
[137] train-mlogloss:0.567008 eval-mlogloss:0.607797
[138] train-mlogloss:0.565721 eval-mlogloss:0.606722
[139] train-mlogloss:0.564433 eval-mlogloss:0.605664
[140] train-mlogloss:0.563250 eval-mlogloss:0.604644
[141] train-mlogloss:0.561884 eval-mlogloss:0.603486
[142] train-mlogloss:0.560750 eval-mlogloss:0.602618
[143] train-mlogloss:0.559697 eval-mlogloss:0.601808
[144] train-mlogloss:0.558688 eval-mlogloss:0.600946
[145] train-mlogloss:0.557396 eval-mlogloss:0.599853
[146] train-mlogloss:0.556299 eval-mlogloss:0.598926
[147] train-mlogloss:0.555056 eval-mlogloss:0.597939
[148] train-mlogloss:0.553957 eval-mlogloss:0.597003
[149] train-mlogloss:0.552988 eval-mlogloss:0.596204
[150] train-mlogloss:0.551850 eval-mlogloss:0.595356
[151] train-mlogloss:0.550738 eval-mlogloss:0.594460
[152] train-mlogloss:0.549616 eval-mlogloss:0.593584
[153] train-mlogloss:0.548586 eval-mlogloss:0.592774
[154] train-mlogloss:0.547456 eval-mlogloss:0.591885
[155] train-mlogloss:0.546381 eval-mlogloss:0.591087
[156] train-mlogloss:0.545323 eval-mlogloss:0.590282
[157] train-mlogloss:0.544282 eval-mlogloss:0.589433
[158] train-mlogloss:0.543223 eval-mlogloss:0.588578
[159] train-mlogloss:0.542209 eval-mlogloss:0.587813
[160] train-mlogloss:0.541311 eval-mlogloss:0.587091
[161] train-mlogloss:0.540354 eval-mlogloss:0.586323
[162] train-mlogloss:0.539160 eval-mlogloss:0.585414
[163] train-mlogloss:0.538211 eval-mlogloss:0.584696
[164] train-mlogloss:0.537331 eval-mlogloss:0.583970
[165] train-mlogloss:0.536384 eval-mlogloss:0.583246
[166] train-mlogloss:0.535369 eval-mlogloss:0.582435
[167] train-mlogloss:0.534453 eval-mlogloss:0.581713
[168] train-mlogloss:0.533594 eval-mlogloss:0.581058
[169] train-mlogloss:0.532758 eval-mlogloss:0.580369
[170] train-mlogloss:0.531746 eval-mlogloss:0.579580
[171] train-mlogloss:0.530770 eval-mlogloss:0.578851
[172] train-mlogloss:0.529946 eval-mlogloss:0.578226
[173] train-mlogloss:0.529074 eval-mlogloss:0.577547
[174] train-mlogloss:0.528247 eval-mlogloss:0.576933
[175] train-mlogloss:0.527484 eval-mlogloss:0.576335
[176] train-mlogloss:0.526552 eval-mlogloss:0.575720
[177] train-mlogloss:0.525685 eval-mlogloss:0.575108
[178] train-mlogloss:0.524613 eval-mlogloss:0.574379
[179] train-mlogloss:0.523747 eval-mlogloss:0.573751
[180] train-mlogloss:0.522985 eval-mlogloss:0.573192
[181] train-mlogloss:0.522036 eval-mlogloss:0.572435
[182] train-mlogloss:0.521128 eval-mlogloss:0.571781
[183] train-mlogloss:0.520327 eval-mlogloss:0.571129
[184] train-mlogloss:0.519330 eval-mlogloss:0.570450
[185] train-mlogloss:0.518472 eval-mlogloss:0.569747
[186] train-mlogloss:0.517604 eval-mlogloss:0.569099
[187] train-mlogloss:0.516836 eval-mlogloss:0.568523
[188] train-mlogloss:0.516113 eval-mlogloss:0.567981
[189] train-mlogloss:0.515531 eval-mlogloss:0.567551
[190] train-mlogloss:0.514806 eval-mlogloss:0.567089
[191] train-mlogloss:0.514075 eval-mlogloss:0.566586
[192] train-mlogloss:0.513167 eval-mlogloss:0.565922
[193] train-mlogloss:0.512425 eval-mlogloss:0.565403
[194] train-mlogloss:0.511766 eval-mlogloss:0.564879
[195] train-mlogloss:0.510913 eval-mlogloss:0.564269
[196] train-mlogloss:0.510044 eval-mlogloss:0.563647
[197] train-mlogloss:0.509347 eval-mlogloss:0.563159
[198] train-mlogloss:0.508585 eval-mlogloss:0.562599
[199] train-mlogloss:0.507816 eval-mlogloss:0.562086
[200] train-mlogloss:0.507132 eval-mlogloss:0.561588
[201] train-mlogloss:0.506343 eval-mlogloss:0.560999
[202] train-mlogloss:0.505760 eval-mlogloss:0.560595
[203] train-mlogloss:0.504983 eval-mlogloss:0.560058
[204] train-mlogloss:0.504328 eval-mlogloss:0.559597
[205] train-mlogloss:0.503638 eval-mlogloss:0.559047
[206] train-mlogloss:0.502913 eval-mlogloss:0.558495
[207] train-mlogloss:0.502276 eval-mlogloss:0.558023
[208] train-mlogloss:0.501526 eval-mlogloss:0.557493
[209] train-mlogloss:0.500925 eval-mlogloss:0.557025
[210] train-mlogloss:0.500219 eval-mlogloss:0.556545
[211] train-mlogloss:0.499511 eval-mlogloss:0.556016
[212] train-mlogloss:0.498750 eval-mlogloss:0.555552
[213] train-mlogloss:0.498062 eval-mlogloss:0.555010
[214] train-mlogloss:0.497519 eval-mlogloss:0.554622
[215] train-mlogloss:0.496936 eval-mlogloss:0.554171
[216] train-mlogloss:0.496346 eval-mlogloss:0.553734
[217] train-mlogloss:0.495723 eval-mlogloss:0.553308
[218] train-mlogloss:0.494980 eval-mlogloss:0.552837
[219] train-mlogloss:0.494153 eval-mlogloss:0.552250
[220] train-mlogloss:0.493536 eval-mlogloss:0.551802
[221] train-mlogloss:0.492953 eval-mlogloss:0.551402
[222] train-mlogloss:0.492282 eval-mlogloss:0.550887
[223] train-mlogloss:0.491685 eval-mlogloss:0.550459
[224] train-mlogloss:0.490980 eval-mlogloss:0.549975
[225] train-mlogloss:0.490365 eval-mlogloss:0.549564
[226] train-mlogloss:0.489872 eval-mlogloss:0.549234
[227] train-mlogloss:0.489365 eval-mlogloss:0.548870
[228] train-mlogloss:0.488729 eval-mlogloss:0.548433
[229] train-mlogloss:0.488109 eval-mlogloss:0.547974
[230] train-mlogloss:0.487569 eval-mlogloss:0.547624
[231] train-mlogloss:0.487038 eval-mlogloss:0.547289
[232] train-mlogloss:0.486536 eval-mlogloss:0.546952
[233] train-mlogloss:0.485959 eval-mlogloss:0.546569
[234] train-mlogloss:0.485358 eval-mlogloss:0.546170
[235] train-mlogloss:0.484774 eval-mlogloss:0.545806
[236] train-mlogloss:0.484104 eval-mlogloss:0.545432
[237] train-mlogloss:0.483521 eval-mlogloss:0.544994
[238] train-mlogloss:0.483082 eval-mlogloss:0.544654
[239] train-mlogloss:0.482393 eval-mlogloss:0.544120
[240] train-mlogloss:0.481727 eval-mlogloss:0.543609
[241] train-mlogloss:0.481168 eval-mlogloss:0.543158
[242] train-mlogloss:0.480559 eval-mlogloss:0.542771
[243] train-mlogloss:0.479923 eval-mlogloss:0.542385
[244] train-mlogloss:0.479413 eval-mlogloss:0.542082
[245] train-mlogloss:0.478737 eval-mlogloss:0.541645
[246] train-mlogloss:0.478252 eval-mlogloss:0.541309
[247] train-mlogloss:0.477658 eval-mlogloss:0.540931
[248] train-mlogloss:0.477089 eval-mlogloss:0.540656
[249] train-mlogloss:0.476564 eval-mlogloss:0.540377
[250] train-mlogloss:0.476028 eval-mlogloss:0.540101
[251] train-mlogloss:0.475544 eval-mlogloss:0.539796
[252] train-mlogloss:0.475016 eval-mlogloss:0.539460
[253] train-mlogloss:0.474396 eval-mlogloss:0.539032
[254] train-mlogloss:0.473868 eval-mlogloss:0.538716
[255] train-mlogloss:0.473276 eval-mlogloss:0.538386
[256] train-mlogloss:0.472717 eval-mlogloss:0.538037
[257] train-mlogloss:0.472300 eval-mlogloss:0.537767
[258] train-mlogloss:0.471755 eval-mlogloss:0.537449
[259] train-mlogloss:0.471233 eval-mlogloss:0.537096
[260] train-mlogloss:0.470768 eval-mlogloss:0.536802
[261] train-mlogloss:0.470339 eval-mlogloss:0.536477
[262] train-mlogloss:0.469866 eval-mlogloss:0.536186
[263] train-mlogloss:0.469422 eval-mlogloss:0.535870
[264] train-mlogloss:0.468901 eval-mlogloss:0.535554
[265] train-mlogloss:0.468331 eval-mlogloss:0.535211
[266] train-mlogloss:0.467775 eval-mlogloss:0.534992
[267] train-mlogloss:0.467297 eval-mlogloss:0.534762
[268] train-mlogloss:0.466881 eval-mlogloss:0.534542
[269] train-mlogloss:0.466292 eval-mlogloss:0.534168
[270] train-mlogloss:0.465840 eval-mlogloss:0.533801
[271] train-mlogloss:0.465396 eval-mlogloss:0.533499
[272] train-mlogloss:0.464856 eval-mlogloss:0.533173
[273] train-mlogloss:0.464313 eval-mlogloss:0.532810
[274] train-mlogloss:0.463877 eval-mlogloss:0.532570
[275] train-mlogloss:0.463352 eval-mlogloss:0.532229
[276] train-mlogloss:0.462942 eval-mlogloss:0.531942
[277] train-mlogloss:0.462457 eval-mlogloss:0.531678
[278] train-mlogloss:0.461937 eval-mlogloss:0.531354
[279] train-mlogloss:0.461469 eval-mlogloss:0.531060
[280] train-mlogloss:0.460979 eval-mlogloss:0.530781
[281] train-mlogloss:0.460538 eval-mlogloss:0.530515
[282] train-mlogloss:0.460116 eval-mlogloss:0.530288
[283] train-mlogloss:0.459614 eval-mlogloss:0.529901
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 5.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 665.0, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-29-e595d8e41eb1> in <module>()
7 trials = Trials()
8
----> 9 optimize(trials)
<ipython-input-28-546b3d8e0e6e> in optimize(trials)
67 }
68
---> 69 best = fmin(score, space, algo=tpe.suggest, trials=trials, max_evals=250)
70
71 print (best)
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in fmin(fn, space, algo, max_evals, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin)
304 verbose=verbose,
305 catch_eval_exceptions=catch_eval_exceptions,
--> 306 return_argmin=return_argmin,
307 )
308
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/base.py in fmin(self, fn, space, algo, max_evals, rstate, verbose, pass_expr_memo_ctrl, catch_eval_exceptions, return_argmin)
631 pass_expr_memo_ctrl=pass_expr_memo_ctrl,
632 catch_eval_exceptions=catch_eval_exceptions,
--> 633 return_argmin=return_argmin)
634
635
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in fmin(fn, space, algo, max_evals, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin)
317 verbose=verbose)
318 rval.catch_eval_exceptions = catch_eval_exceptions
--> 319 rval.exhaust()
320 if return_argmin:
321 return trials.argmin
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in exhaust(self)
196 def exhaust(self):
197 n_done = len(self.trials)
--> 198 self.run(self.max_evals - n_done, block_until_done=self.async)
199 self.trials.refresh()
200 return self
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in run(self, N, block_until_done)
170 else:
171 # -- loop over trials and do the jobs directly
--> 172 self.serial_evaluate()
173
174 if stopped:
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in serial_evaluate(self, N)
87 ctrl = base.Ctrl(self.trials, current_trial=trial)
88 try:
---> 89 result = self.domain.evaluate(spec, ctrl)
90 except Exception as e:
91 logger.info('job exception: %s' % str(e))
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/base.py in evaluate(self, config, ctrl, attach_attachments)
836 memo=memo,
837 print_node_on_error=self.rec_eval_print_node_on_error)
--> 838 rval = self.fn(pyll_rval)
839
840 if isinstance(rval, (float, int, np.number)):
<ipython-input-28-546b3d8e0e6e> in score(params)
44 dvalid = xgb.DMatrix(X_test, label=y_test)
45 watchlist = [(dtrain, 'train'),(dvalid, 'eval')]
---> 46 model = xgb.train(params, dtrain, num_round,watchlist,early_stopping_rounds=10)
47 predictions = model.predict(dvalid).reshape((X_test.shape[0], 9))
48 score = log_loss(y_test, predictions)
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/training.py in train(params, dtrain, num_boost_round, evals, obj, feval, early_stopping_rounds, evals_result, verbose_eval)
107
108 for i in range(num_boost_round):
--> 109 bst.update(dtrain, i, obj)
110 bst_eval_set = bst.eval_set(evals, i, feval)
111
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/core.py in update(self, dtrain, iteration, fobj)
521 raise TypeError('invalid training matrix: {}'.format(type(dtrain).__name__))
522 if fobj is None:
--> 523 _check_call(_LIB.XGBoosterUpdateOneIter(self.handle, iteration, dtrain.handle))
524 else:
525 pred = self.predict(dtrain)
KeyboardInterrupt:
In [32]:
X, y = load_train()
print ("Splitting data into train and valid ...\n\n")
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=1234)
#Trials object where the history of search will be stored
trials = Trials()
optimize(trials)
Splitting data into train and valid ...
Training with params :
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.613063 eval-mlogloss:1.635780
[1] train-mlogloss:1.340728 eval-mlogloss:1.385864
[2] train-mlogloss:1.150567 eval-mlogloss:1.210334
[3] train-mlogloss:1.007936 eval-mlogloss:1.080255
[4] train-mlogloss:0.899594 eval-mlogloss:0.982222
[5] train-mlogloss:0.811950 eval-mlogloss:0.904010
[6] train-mlogloss:0.740421 eval-mlogloss:0.841204
[7] train-mlogloss:0.676811 eval-mlogloss:0.787053
[8] train-mlogloss:0.629190 eval-mlogloss:0.746192
[9] train-mlogloss:0.588885 eval-mlogloss:0.713217
[10] train-mlogloss:0.550324 eval-mlogloss:0.681779
[11] train-mlogloss:0.519391 eval-mlogloss:0.657543
[12] train-mlogloss:0.492662 eval-mlogloss:0.636952
[13] train-mlogloss:0.471745 eval-mlogloss:0.620226
[14] train-mlogloss:0.449592 eval-mlogloss:0.604870
[15] train-mlogloss:0.428937 eval-mlogloss:0.590580
[16] train-mlogloss:0.412923 eval-mlogloss:0.578653
[17] train-mlogloss:0.399348 eval-mlogloss:0.569375
[18] train-mlogloss:0.387838 eval-mlogloss:0.560811
[19] train-mlogloss:0.377315 eval-mlogloss:0.552826
[20] train-mlogloss:0.367304 eval-mlogloss:0.545590
[21] train-mlogloss:0.359969 eval-mlogloss:0.540384
[22] train-mlogloss:0.351659 eval-mlogloss:0.534415
[23] train-mlogloss:0.343349 eval-mlogloss:0.528977
[24] train-mlogloss:0.336011 eval-mlogloss:0.524689
[25] train-mlogloss:0.329529 eval-mlogloss:0.520952
[26] train-mlogloss:0.324449 eval-mlogloss:0.516942
[27] train-mlogloss:0.317622 eval-mlogloss:0.513782
[28] train-mlogloss:0.311449 eval-mlogloss:0.510835
[29] train-mlogloss:0.306874 eval-mlogloss:0.507981
[30] train-mlogloss:0.301960 eval-mlogloss:0.505471
[31] train-mlogloss:0.297185 eval-mlogloss:0.502907
[32] train-mlogloss:0.293362 eval-mlogloss:0.500696
[33] train-mlogloss:0.288721 eval-mlogloss:0.498952
[34] train-mlogloss:0.285114 eval-mlogloss:0.497223
[35] train-mlogloss:0.281875 eval-mlogloss:0.495623
[36] train-mlogloss:0.278340 eval-mlogloss:0.494368
[37] train-mlogloss:0.275590 eval-mlogloss:0.492991
[38] train-mlogloss:0.272829 eval-mlogloss:0.491563
[39] train-mlogloss:0.270596 eval-mlogloss:0.490407
[40] train-mlogloss:0.267621 eval-mlogloss:0.489172
[41] train-mlogloss:0.265774 eval-mlogloss:0.487934
[42] train-mlogloss:0.262249 eval-mlogloss:0.486664
[43] train-mlogloss:0.260094 eval-mlogloss:0.485675
[44] train-mlogloss:0.256806 eval-mlogloss:0.484702
[45] train-mlogloss:0.254067 eval-mlogloss:0.483655
[46] train-mlogloss:0.251555 eval-mlogloss:0.482421
[47] train-mlogloss:0.248890 eval-mlogloss:0.481393
[48] train-mlogloss:0.246401 eval-mlogloss:0.480584
[49] train-mlogloss:0.243178 eval-mlogloss:0.479697
[50] train-mlogloss:0.240283 eval-mlogloss:0.478905
[51] train-mlogloss:0.238649 eval-mlogloss:0.478272
[52] train-mlogloss:0.236672 eval-mlogloss:0.477528
[53] train-mlogloss:0.234664 eval-mlogloss:0.476788
[54] train-mlogloss:0.232402 eval-mlogloss:0.476484
[55] train-mlogloss:0.229439 eval-mlogloss:0.475589
[56] train-mlogloss:0.227777 eval-mlogloss:0.475042
[57] train-mlogloss:0.225167 eval-mlogloss:0.474232
[58] train-mlogloss:0.222804 eval-mlogloss:0.473992
[59] train-mlogloss:0.220736 eval-mlogloss:0.473480
[60] train-mlogloss:0.218933 eval-mlogloss:0.473079
[61] train-mlogloss:0.216647 eval-mlogloss:0.473119
[62] train-mlogloss:0.215117 eval-mlogloss:0.472666
[63] train-mlogloss:0.213504 eval-mlogloss:0.472338
[64] train-mlogloss:0.212248 eval-mlogloss:0.472095
[65] train-mlogloss:0.210607 eval-mlogloss:0.471969
[66] train-mlogloss:0.208669 eval-mlogloss:0.471675
[67] train-mlogloss:0.207319 eval-mlogloss:0.471467
[68] train-mlogloss:0.206000 eval-mlogloss:0.471260
[69] train-mlogloss:0.204584 eval-mlogloss:0.470946
[70] train-mlogloss:0.203329 eval-mlogloss:0.470735
[71] train-mlogloss:0.201882 eval-mlogloss:0.470781
[72] train-mlogloss:0.200019 eval-mlogloss:0.470565
[73] train-mlogloss:0.198594 eval-mlogloss:0.470065
[74] train-mlogloss:0.196940 eval-mlogloss:0.470037
[75] train-mlogloss:0.195701 eval-mlogloss:0.469469
[76] train-mlogloss:0.194195 eval-mlogloss:0.469509
[77] train-mlogloss:0.192903 eval-mlogloss:0.469237
[78] train-mlogloss:0.192100 eval-mlogloss:0.469047
[79] train-mlogloss:0.190708 eval-mlogloss:0.469001
[80] train-mlogloss:0.189815 eval-mlogloss:0.468658
[81] train-mlogloss:0.188427 eval-mlogloss:0.468430
[82] train-mlogloss:0.187240 eval-mlogloss:0.468097
[83] train-mlogloss:0.185762 eval-mlogloss:0.467822
[84] train-mlogloss:0.184189 eval-mlogloss:0.467702
[85] train-mlogloss:0.183018 eval-mlogloss:0.467597
[86] train-mlogloss:0.182206 eval-mlogloss:0.467685
[87] train-mlogloss:0.180636 eval-mlogloss:0.467420
[88] train-mlogloss:0.179894 eval-mlogloss:0.467097
[89] train-mlogloss:0.178773 eval-mlogloss:0.466988
[90] train-mlogloss:0.177853 eval-mlogloss:0.467062
[91] train-mlogloss:0.176706 eval-mlogloss:0.467034
[92] train-mlogloss:0.175805 eval-mlogloss:0.466920
[93] train-mlogloss:0.174857 eval-mlogloss:0.466845
[94] train-mlogloss:0.174163 eval-mlogloss:0.466856
[95] train-mlogloss:0.172898 eval-mlogloss:0.466547
[96] train-mlogloss:0.172015 eval-mlogloss:0.466501
[97] train-mlogloss:0.171453 eval-mlogloss:0.466610
[98] train-mlogloss:0.170543 eval-mlogloss:0.466360
[99] train-mlogloss:0.169111 eval-mlogloss:0.466476
[100] train-mlogloss:0.168131 eval-mlogloss:0.466602
[101] train-mlogloss:0.167021 eval-mlogloss:0.466446
[102] train-mlogloss:0.165835 eval-mlogloss:0.466368
[103] train-mlogloss:0.164986 eval-mlogloss:0.466306
[104] train-mlogloss:0.164396 eval-mlogloss:0.466397
[105] train-mlogloss:0.163443 eval-mlogloss:0.466237
[106] train-mlogloss:0.162821 eval-mlogloss:0.466012
[107] train-mlogloss:0.162046 eval-mlogloss:0.466077
[108] train-mlogloss:0.161280 eval-mlogloss:0.465981
[109] train-mlogloss:0.160820 eval-mlogloss:0.465955
[110] train-mlogloss:0.160137 eval-mlogloss:0.466088
[111] train-mlogloss:0.159407 eval-mlogloss:0.466072
[112] train-mlogloss:0.158711 eval-mlogloss:0.466146
[113] train-mlogloss:0.157514 eval-mlogloss:0.465954
[114] train-mlogloss:0.157144 eval-mlogloss:0.465914
[115] train-mlogloss:0.156537 eval-mlogloss:0.465922
[116] train-mlogloss:0.155987 eval-mlogloss:0.465709
[117] train-mlogloss:0.155613 eval-mlogloss:0.465698
[118] train-mlogloss:0.154968 eval-mlogloss:0.465706
[119] train-mlogloss:0.154438 eval-mlogloss:0.465802
[120] train-mlogloss:0.153494 eval-mlogloss:0.465705
[121] train-mlogloss:0.153068 eval-mlogloss:0.465662
[122] train-mlogloss:0.152546 eval-mlogloss:0.465507
[123] train-mlogloss:0.152087 eval-mlogloss:0.465550
[124] train-mlogloss:0.151573 eval-mlogloss:0.465459
[125] train-mlogloss:0.150868 eval-mlogloss:0.465361
[126] train-mlogloss:0.149925 eval-mlogloss:0.465523
[127] train-mlogloss:0.149250 eval-mlogloss:0.465534
[128] train-mlogloss:0.148869 eval-mlogloss:0.465518
[129] train-mlogloss:0.148183 eval-mlogloss:0.465490
[130] train-mlogloss:0.147622 eval-mlogloss:0.465313
[131] train-mlogloss:0.147149 eval-mlogloss:0.465426
[132] train-mlogloss:0.146611 eval-mlogloss:0.465379
[133] train-mlogloss:0.146113 eval-mlogloss:0.465476
[134] train-mlogloss:0.145618 eval-mlogloss:0.465358
[135] train-mlogloss:0.145200 eval-mlogloss:0.465395
[136] train-mlogloss:0.144748 eval-mlogloss:0.465386
[137] train-mlogloss:0.144196 eval-mlogloss:0.465499
[138] train-mlogloss:0.143825 eval-mlogloss:0.465595
[139] train-mlogloss:0.143409 eval-mlogloss:0.465676
[140] train-mlogloss:0.142847 eval-mlogloss:0.465828
{'eta': 0.25, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.4658277153093069
Stopping. Best iteration:
[130] train-mlogloss:0.147622 eval-mlogloss:0.465313
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.873075 eval-mlogloss:1.876454
[1] train-mlogloss:1.690907 eval-mlogloss:1.690414
[2] train-mlogloss:1.572723 eval-mlogloss:1.572101
[3] train-mlogloss:1.486662 eval-mlogloss:1.486391
[4] train-mlogloss:1.419091 eval-mlogloss:1.418536
[5] train-mlogloss:1.361313 eval-mlogloss:1.360339
[6] train-mlogloss:1.313528 eval-mlogloss:1.312695
[7] train-mlogloss:1.273811 eval-mlogloss:1.274210
[8] train-mlogloss:1.238327 eval-mlogloss:1.239969
[9] train-mlogloss:1.208471 eval-mlogloss:1.209948
[10] train-mlogloss:1.180933 eval-mlogloss:1.182281
[11] train-mlogloss:1.157274 eval-mlogloss:1.159661
[12] train-mlogloss:1.135773 eval-mlogloss:1.138808
[13] train-mlogloss:1.115140 eval-mlogloss:1.119230
[14] train-mlogloss:1.097535 eval-mlogloss:1.101810
[15] train-mlogloss:1.080963 eval-mlogloss:1.085578
[16] train-mlogloss:1.065539 eval-mlogloss:1.069464
[17] train-mlogloss:1.050681 eval-mlogloss:1.055234
[18] train-mlogloss:1.036623 eval-mlogloss:1.040656
[19] train-mlogloss:1.023693 eval-mlogloss:1.027476
[20] train-mlogloss:1.011159 eval-mlogloss:1.015852
[21] train-mlogloss:0.999571 eval-mlogloss:1.004531
[22] train-mlogloss:0.988799 eval-mlogloss:0.993587
[23] train-mlogloss:0.978765 eval-mlogloss:0.984333
[24] train-mlogloss:0.968968 eval-mlogloss:0.973912
[25] train-mlogloss:0.959564 eval-mlogloss:0.964426
[26] train-mlogloss:0.950925 eval-mlogloss:0.956025
[27] train-mlogloss:0.942553 eval-mlogloss:0.947307
[28] train-mlogloss:0.934180 eval-mlogloss:0.939246
[29] train-mlogloss:0.926391 eval-mlogloss:0.931681
[30] train-mlogloss:0.918691 eval-mlogloss:0.923515
[31] train-mlogloss:0.911690 eval-mlogloss:0.916209
[32] train-mlogloss:0.904982 eval-mlogloss:0.909489
[33] train-mlogloss:0.898703 eval-mlogloss:0.903966
[34] train-mlogloss:0.892472 eval-mlogloss:0.897942
[35] train-mlogloss:0.886271 eval-mlogloss:0.891891
[36] train-mlogloss:0.880438 eval-mlogloss:0.885953
[37] train-mlogloss:0.874558 eval-mlogloss:0.880199
[38] train-mlogloss:0.869369 eval-mlogloss:0.874889
[39] train-mlogloss:0.864050 eval-mlogloss:0.869846
[40] train-mlogloss:0.858949 eval-mlogloss:0.864687
[41] train-mlogloss:0.854036 eval-mlogloss:0.860027
[42] train-mlogloss:0.849422 eval-mlogloss:0.855634
[43] train-mlogloss:0.844837 eval-mlogloss:0.851063
[44] train-mlogloss:0.840370 eval-mlogloss:0.846421
[45] train-mlogloss:0.836105 eval-mlogloss:0.841946
[46] train-mlogloss:0.831804 eval-mlogloss:0.837694
[47] train-mlogloss:0.827954 eval-mlogloss:0.834016
[48] train-mlogloss:0.824071 eval-mlogloss:0.829703
[49] train-mlogloss:0.820258 eval-mlogloss:0.825960
[50] train-mlogloss:0.816591 eval-mlogloss:0.822391
[51] train-mlogloss:0.812975 eval-mlogloss:0.818760
[52] train-mlogloss:0.809186 eval-mlogloss:0.815207
[53] train-mlogloss:0.805927 eval-mlogloss:0.811994
[54] train-mlogloss:0.802544 eval-mlogloss:0.808532
[55] train-mlogloss:0.799447 eval-mlogloss:0.805335
[56] train-mlogloss:0.796183 eval-mlogloss:0.802358
[57] train-mlogloss:0.792975 eval-mlogloss:0.799049
[58] train-mlogloss:0.789903 eval-mlogloss:0.796053
[59] train-mlogloss:0.786907 eval-mlogloss:0.792976
[60] train-mlogloss:0.783987 eval-mlogloss:0.790393
[61] train-mlogloss:0.781198 eval-mlogloss:0.787679
[62] train-mlogloss:0.778344 eval-mlogloss:0.784277
[63] train-mlogloss:0.775653 eval-mlogloss:0.781591
[64] train-mlogloss:0.773081 eval-mlogloss:0.778805
[65] train-mlogloss:0.770545 eval-mlogloss:0.776464
[66] train-mlogloss:0.767978 eval-mlogloss:0.773716
[67] train-mlogloss:0.765486 eval-mlogloss:0.771022
[68] train-mlogloss:0.762974 eval-mlogloss:0.768557
[69] train-mlogloss:0.760576 eval-mlogloss:0.766167
[70] train-mlogloss:0.758153 eval-mlogloss:0.763696
[71] train-mlogloss:0.755845 eval-mlogloss:0.761489
[72] train-mlogloss:0.753531 eval-mlogloss:0.759024
[73] train-mlogloss:0.751256 eval-mlogloss:0.756919
[74] train-mlogloss:0.749231 eval-mlogloss:0.754874
[75] train-mlogloss:0.747046 eval-mlogloss:0.752495
[76] train-mlogloss:0.745043 eval-mlogloss:0.750657
[77] train-mlogloss:0.743014 eval-mlogloss:0.748721
[78] train-mlogloss:0.740990 eval-mlogloss:0.746412
[79] train-mlogloss:0.738962 eval-mlogloss:0.744389
[80] train-mlogloss:0.737061 eval-mlogloss:0.742582
[81] train-mlogloss:0.735117 eval-mlogloss:0.740609
[82] train-mlogloss:0.733291 eval-mlogloss:0.738659
[83] train-mlogloss:0.731445 eval-mlogloss:0.736874
[84] train-mlogloss:0.729665 eval-mlogloss:0.734888
[85] train-mlogloss:0.727857 eval-mlogloss:0.733101
[86] train-mlogloss:0.726089 eval-mlogloss:0.731492
[87] train-mlogloss:0.724439 eval-mlogloss:0.729982
[88] train-mlogloss:0.722827 eval-mlogloss:0.728600
[89] train-mlogloss:0.721181 eval-mlogloss:0.726976
[90] train-mlogloss:0.719689 eval-mlogloss:0.725424
[91] train-mlogloss:0.718179 eval-mlogloss:0.723663
[92] train-mlogloss:0.716825 eval-mlogloss:0.722394
[93] train-mlogloss:0.715300 eval-mlogloss:0.720632
[94] train-mlogloss:0.713743 eval-mlogloss:0.718978
[95] train-mlogloss:0.712274 eval-mlogloss:0.717897
[96] train-mlogloss:0.710873 eval-mlogloss:0.716408
[97] train-mlogloss:0.709328 eval-mlogloss:0.715009
[98] train-mlogloss:0.707772 eval-mlogloss:0.713339
[99] train-mlogloss:0.706412 eval-mlogloss:0.711556
[100] train-mlogloss:0.705064 eval-mlogloss:0.710247
[101] train-mlogloss:0.703690 eval-mlogloss:0.708851
[102] train-mlogloss:0.702358 eval-mlogloss:0.707736
[103] train-mlogloss:0.701037 eval-mlogloss:0.706464
[104] train-mlogloss:0.699718 eval-mlogloss:0.705086
[105] train-mlogloss:0.698519 eval-mlogloss:0.704065
[106] train-mlogloss:0.697251 eval-mlogloss:0.702918
[107] train-mlogloss:0.695959 eval-mlogloss:0.701401
[108] train-mlogloss:0.694675 eval-mlogloss:0.699952
[109] train-mlogloss:0.693401 eval-mlogloss:0.698547
[110] train-mlogloss:0.692177 eval-mlogloss:0.697486
[111] train-mlogloss:0.691010 eval-mlogloss:0.696503
[112] train-mlogloss:0.689833 eval-mlogloss:0.695529
[113] train-mlogloss:0.688622 eval-mlogloss:0.694406
[114] train-mlogloss:0.687471 eval-mlogloss:0.693216
[115] train-mlogloss:0.686380 eval-mlogloss:0.691974
[116] train-mlogloss:0.685263 eval-mlogloss:0.691186
[117] train-mlogloss:0.684155 eval-mlogloss:0.689852
[118] train-mlogloss:0.683089 eval-mlogloss:0.689218
[119] train-mlogloss:0.682068 eval-mlogloss:0.688150
[120] train-mlogloss:0.681021 eval-mlogloss:0.687140
[121] train-mlogloss:0.679956 eval-mlogloss:0.686246
[122] train-mlogloss:0.678881 eval-mlogloss:0.685169
[123] train-mlogloss:0.677935 eval-mlogloss:0.684190
[124] train-mlogloss:0.676858 eval-mlogloss:0.683009
[125] train-mlogloss:0.675768 eval-mlogloss:0.681848
[126] train-mlogloss:0.674740 eval-mlogloss:0.680922
[127] train-mlogloss:0.673726 eval-mlogloss:0.680097
[128] train-mlogloss:0.672784 eval-mlogloss:0.679101
[129] train-mlogloss:0.671868 eval-mlogloss:0.678126
[130] train-mlogloss:0.670930 eval-mlogloss:0.677283
[131] train-mlogloss:0.669978 eval-mlogloss:0.676307
[132] train-mlogloss:0.669023 eval-mlogloss:0.675494
[133] train-mlogloss:0.668096 eval-mlogloss:0.674550
[134] train-mlogloss:0.667164 eval-mlogloss:0.673634
[135] train-mlogloss:0.666245 eval-mlogloss:0.672968
[136] train-mlogloss:0.665394 eval-mlogloss:0.672334
[137] train-mlogloss:0.664512 eval-mlogloss:0.671526
[138] train-mlogloss:0.663655 eval-mlogloss:0.670589
[139] train-mlogloss:0.662766 eval-mlogloss:0.669687
[140] train-mlogloss:0.662003 eval-mlogloss:0.668977
[141] train-mlogloss:0.661167 eval-mlogloss:0.668048
[142] train-mlogloss:0.660361 eval-mlogloss:0.667165
[143] train-mlogloss:0.659570 eval-mlogloss:0.666578
[144] train-mlogloss:0.658661 eval-mlogloss:0.665731
[145] train-mlogloss:0.657879 eval-mlogloss:0.665025
[146] train-mlogloss:0.657032 eval-mlogloss:0.664266
[147] train-mlogloss:0.656235 eval-mlogloss:0.663372
[148] train-mlogloss:0.655452 eval-mlogloss:0.662358
[149] train-mlogloss:0.654658 eval-mlogloss:0.661649
[150] train-mlogloss:0.653951 eval-mlogloss:0.661118
[151] train-mlogloss:0.653213 eval-mlogloss:0.660424
[152] train-mlogloss:0.652445 eval-mlogloss:0.659736
[153] train-mlogloss:0.651707 eval-mlogloss:0.659026
[154] train-mlogloss:0.650964 eval-mlogloss:0.658216
[155] train-mlogloss:0.650215 eval-mlogloss:0.657523
[156] train-mlogloss:0.649518 eval-mlogloss:0.657003
[157] train-mlogloss:0.648792 eval-mlogloss:0.656195
[158] train-mlogloss:0.648065 eval-mlogloss:0.655514
[159] train-mlogloss:0.647317 eval-mlogloss:0.655128
[160] train-mlogloss:0.646627 eval-mlogloss:0.654773
[161] train-mlogloss:0.645931 eval-mlogloss:0.654218
[162] train-mlogloss:0.645221 eval-mlogloss:0.653501
[163] train-mlogloss:0.644551 eval-mlogloss:0.652921
[164] train-mlogloss:0.643894 eval-mlogloss:0.652390
[165] train-mlogloss:0.643263 eval-mlogloss:0.651819
[166] train-mlogloss:0.642620 eval-mlogloss:0.651051
[167] train-mlogloss:0.641951 eval-mlogloss:0.650528
[168] train-mlogloss:0.641347 eval-mlogloss:0.649767
[169] train-mlogloss:0.640671 eval-mlogloss:0.649172
[170] train-mlogloss:0.640062 eval-mlogloss:0.648583
[171] train-mlogloss:0.639400 eval-mlogloss:0.648122
[172] train-mlogloss:0.638786 eval-mlogloss:0.647746
[173] train-mlogloss:0.638204 eval-mlogloss:0.647280
[174] train-mlogloss:0.637579 eval-mlogloss:0.646898
[175] train-mlogloss:0.636953 eval-mlogloss:0.646371
[176] train-mlogloss:0.636394 eval-mlogloss:0.645691
[177] train-mlogloss:0.635769 eval-mlogloss:0.645325
[178] train-mlogloss:0.635226 eval-mlogloss:0.644721
[179] train-mlogloss:0.634620 eval-mlogloss:0.644063
[180] train-mlogloss:0.634090 eval-mlogloss:0.643490
[181] train-mlogloss:0.633528 eval-mlogloss:0.643022
[182] train-mlogloss:0.632963 eval-mlogloss:0.642483
[183] train-mlogloss:0.632345 eval-mlogloss:0.641812
[184] train-mlogloss:0.631725 eval-mlogloss:0.641049
[185] train-mlogloss:0.631152 eval-mlogloss:0.640382
[186] train-mlogloss:0.630506 eval-mlogloss:0.639769
[187] train-mlogloss:0.629980 eval-mlogloss:0.639304
[188] train-mlogloss:0.629452 eval-mlogloss:0.638615
[189] train-mlogloss:0.628923 eval-mlogloss:0.638040
[190] train-mlogloss:0.628355 eval-mlogloss:0.637532
[191] train-mlogloss:0.627787 eval-mlogloss:0.637201
[192] train-mlogloss:0.627291 eval-mlogloss:0.636900
[193] train-mlogloss:0.626794 eval-mlogloss:0.636347
[194] train-mlogloss:0.626317 eval-mlogloss:0.635809
[195] train-mlogloss:0.625779 eval-mlogloss:0.635422
[196] train-mlogloss:0.625227 eval-mlogloss:0.634928
[197] train-mlogloss:0.624664 eval-mlogloss:0.634463
[198] train-mlogloss:0.624162 eval-mlogloss:0.633999
[199] train-mlogloss:0.623682 eval-mlogloss:0.633620
[200] train-mlogloss:0.623142 eval-mlogloss:0.633174
[201] train-mlogloss:0.622655 eval-mlogloss:0.632950
[202] train-mlogloss:0.622155 eval-mlogloss:0.632512
[203] train-mlogloss:0.621692 eval-mlogloss:0.632169
[204] train-mlogloss:0.621244 eval-mlogloss:0.631569
[205] train-mlogloss:0.620799 eval-mlogloss:0.630797
[206] train-mlogloss:0.620332 eval-mlogloss:0.630381
[207] train-mlogloss:0.619870 eval-mlogloss:0.629890
[208] train-mlogloss:0.619418 eval-mlogloss:0.629472
[209] train-mlogloss:0.619024 eval-mlogloss:0.629147
[210] train-mlogloss:0.618550 eval-mlogloss:0.628716
[211] train-mlogloss:0.618038 eval-mlogloss:0.628305
[212] train-mlogloss:0.617593 eval-mlogloss:0.627952
[213] train-mlogloss:0.617145 eval-mlogloss:0.627697
[214] train-mlogloss:0.616681 eval-mlogloss:0.627395
[215] train-mlogloss:0.616229 eval-mlogloss:0.626849
[216] train-mlogloss:0.615777 eval-mlogloss:0.626406
[217] train-mlogloss:0.615302 eval-mlogloss:0.626107
[218] train-mlogloss:0.614899 eval-mlogloss:0.625795
[219] train-mlogloss:0.614460 eval-mlogloss:0.625406
[220] train-mlogloss:0.614017 eval-mlogloss:0.624726
[221] train-mlogloss:0.613561 eval-mlogloss:0.624303
[222] train-mlogloss:0.613111 eval-mlogloss:0.624007
[223] train-mlogloss:0.612715 eval-mlogloss:0.623624
[224] train-mlogloss:0.612280 eval-mlogloss:0.623367
[225] train-mlogloss:0.611883 eval-mlogloss:0.622975
[226] train-mlogloss:0.611459 eval-mlogloss:0.622520
[227] train-mlogloss:0.611079 eval-mlogloss:0.622391
[228] train-mlogloss:0.610653 eval-mlogloss:0.622255
[229] train-mlogloss:0.610253 eval-mlogloss:0.621962
[230] train-mlogloss:0.609857 eval-mlogloss:0.621746
[231] train-mlogloss:0.609468 eval-mlogloss:0.621593
[232] train-mlogloss:0.609067 eval-mlogloss:0.621191
[233] train-mlogloss:0.608655 eval-mlogloss:0.620880
[234] train-mlogloss:0.608286 eval-mlogloss:0.620606
[235] train-mlogloss:0.607858 eval-mlogloss:0.620104
[236] train-mlogloss:0.607437 eval-mlogloss:0.619826
[237] train-mlogloss:0.607099 eval-mlogloss:0.619583
[238] train-mlogloss:0.606747 eval-mlogloss:0.619334
[239] train-mlogloss:0.606405 eval-mlogloss:0.618929
[240] train-mlogloss:0.605966 eval-mlogloss:0.618479
[241] train-mlogloss:0.605601 eval-mlogloss:0.618066
[242] train-mlogloss:0.605206 eval-mlogloss:0.617762
[243] train-mlogloss:0.604818 eval-mlogloss:0.617291
[244] train-mlogloss:0.604463 eval-mlogloss:0.616849
[245] train-mlogloss:0.604077 eval-mlogloss:0.616416
[246] train-mlogloss:0.603709 eval-mlogloss:0.616108
[247] train-mlogloss:0.603340 eval-mlogloss:0.615628
[248] train-mlogloss:0.602956 eval-mlogloss:0.615209
[249] train-mlogloss:0.602596 eval-mlogloss:0.615086
[250] train-mlogloss:0.602248 eval-mlogloss:0.615033
[251] train-mlogloss:0.601920 eval-mlogloss:0.614910
[252] train-mlogloss:0.601577 eval-mlogloss:0.614553
[253] train-mlogloss:0.601209 eval-mlogloss:0.614104
[254] train-mlogloss:0.600863 eval-mlogloss:0.613823
[255] train-mlogloss:0.600486 eval-mlogloss:0.613661
[256] train-mlogloss:0.600163 eval-mlogloss:0.613368
[257] train-mlogloss:0.599830 eval-mlogloss:0.613089
[258] train-mlogloss:0.599521 eval-mlogloss:0.612880
[259] train-mlogloss:0.599122 eval-mlogloss:0.612653
[260] train-mlogloss:0.598776 eval-mlogloss:0.612357
[261] train-mlogloss:0.598436 eval-mlogloss:0.612174
[262] train-mlogloss:0.598077 eval-mlogloss:0.612042
[263] train-mlogloss:0.597733 eval-mlogloss:0.611577
[264] train-mlogloss:0.597419 eval-mlogloss:0.611399
[265] train-mlogloss:0.597122 eval-mlogloss:0.611102
[266] train-mlogloss:0.596836 eval-mlogloss:0.610880
[267] train-mlogloss:0.596533 eval-mlogloss:0.610625
[268] train-mlogloss:0.596210 eval-mlogloss:0.610578
[269] train-mlogloss:0.595852 eval-mlogloss:0.610500
[270] train-mlogloss:0.595569 eval-mlogloss:0.610228
[271] train-mlogloss:0.595252 eval-mlogloss:0.610023
[272] train-mlogloss:0.594960 eval-mlogloss:0.609641
[273] train-mlogloss:0.594643 eval-mlogloss:0.609323
[274] train-mlogloss:0.594364 eval-mlogloss:0.609075
[275] train-mlogloss:0.594092 eval-mlogloss:0.608924
[276] train-mlogloss:0.593810 eval-mlogloss:0.608672
[277] train-mlogloss:0.593512 eval-mlogloss:0.608364
[278] train-mlogloss:0.593221 eval-mlogloss:0.608109
[279] train-mlogloss:0.592928 eval-mlogloss:0.607911
[280] train-mlogloss:0.592610 eval-mlogloss:0.607750
[281] train-mlogloss:0.592319 eval-mlogloss:0.607600
[282] train-mlogloss:0.592016 eval-mlogloss:0.607326
[283] train-mlogloss:0.591742 eval-mlogloss:0.606996
[284] train-mlogloss:0.591454 eval-mlogloss:0.606847
[285] train-mlogloss:0.591183 eval-mlogloss:0.606742
[286] train-mlogloss:0.590902 eval-mlogloss:0.606567
[287] train-mlogloss:0.590631 eval-mlogloss:0.606194
[288] train-mlogloss:0.590395 eval-mlogloss:0.605958
[289] train-mlogloss:0.590147 eval-mlogloss:0.605663
[290] train-mlogloss:0.589849 eval-mlogloss:0.605436
[291] train-mlogloss:0.589565 eval-mlogloss:0.605137
[292] train-mlogloss:0.589302 eval-mlogloss:0.604778
[293] train-mlogloss:0.589038 eval-mlogloss:0.604592
[294] train-mlogloss:0.588744 eval-mlogloss:0.604563
[295] train-mlogloss:0.588479 eval-mlogloss:0.604268
[296] train-mlogloss:0.588230 eval-mlogloss:0.604058
[297] train-mlogloss:0.588026 eval-mlogloss:0.604016
[298] train-mlogloss:0.587777 eval-mlogloss:0.603928
[299] train-mlogloss:0.587525 eval-mlogloss:0.603675
[300] train-mlogloss:0.587280 eval-mlogloss:0.603463
[301] train-mlogloss:0.587002 eval-mlogloss:0.603185
[302] train-mlogloss:0.586733 eval-mlogloss:0.602790
[303] train-mlogloss:0.586464 eval-mlogloss:0.602545
[304] train-mlogloss:0.586167 eval-mlogloss:0.602220
[305] train-mlogloss:0.585900 eval-mlogloss:0.601967
[306] train-mlogloss:0.585640 eval-mlogloss:0.601711
[307] train-mlogloss:0.585428 eval-mlogloss:0.601429
[308] train-mlogloss:0.585212 eval-mlogloss:0.601191
[309] train-mlogloss:0.584957 eval-mlogloss:0.601039
[310] train-mlogloss:0.584681 eval-mlogloss:0.600998
[311] train-mlogloss:0.584431 eval-mlogloss:0.600819
[312] train-mlogloss:0.584180 eval-mlogloss:0.600457
[313] train-mlogloss:0.583926 eval-mlogloss:0.600179
[314] train-mlogloss:0.583713 eval-mlogloss:0.599947
[315] train-mlogloss:0.583471 eval-mlogloss:0.599764
[316] train-mlogloss:0.583236 eval-mlogloss:0.599710
[317] train-mlogloss:0.582972 eval-mlogloss:0.599514
[318] train-mlogloss:0.582752 eval-mlogloss:0.599317
[319] train-mlogloss:0.582501 eval-mlogloss:0.599100
[320] train-mlogloss:0.582271 eval-mlogloss:0.599149
[321] train-mlogloss:0.582056 eval-mlogloss:0.599040
[322] train-mlogloss:0.581826 eval-mlogloss:0.598971
[323] train-mlogloss:0.581570 eval-mlogloss:0.598788
[324] train-mlogloss:0.581318 eval-mlogloss:0.598601
[325] train-mlogloss:0.581082 eval-mlogloss:0.598261
[326] train-mlogloss:0.580810 eval-mlogloss:0.598061
[327] train-mlogloss:0.580560 eval-mlogloss:0.597849
[328] train-mlogloss:0.580362 eval-mlogloss:0.597820
[329] train-mlogloss:0.580097 eval-mlogloss:0.597551
[330] train-mlogloss:0.579889 eval-mlogloss:0.597472
[331] train-mlogloss:0.579678 eval-mlogloss:0.597091
[332] train-mlogloss:0.579486 eval-mlogloss:0.596918
[333] train-mlogloss:0.579247 eval-mlogloss:0.596767
[334] train-mlogloss:0.578987 eval-mlogloss:0.596475
[335] train-mlogloss:0.578736 eval-mlogloss:0.596128
[336] train-mlogloss:0.578525 eval-mlogloss:0.595881
[337] train-mlogloss:0.578314 eval-mlogloss:0.595737
[338] train-mlogloss:0.578094 eval-mlogloss:0.595711
[339] train-mlogloss:0.577892 eval-mlogloss:0.595648
[340] train-mlogloss:0.577672 eval-mlogloss:0.595659
[341] train-mlogloss:0.577424 eval-mlogloss:0.595408
[342] train-mlogloss:0.577200 eval-mlogloss:0.595192
[343] train-mlogloss:0.577002 eval-mlogloss:0.594951
[344] train-mlogloss:0.576791 eval-mlogloss:0.594778
[345] train-mlogloss:0.576598 eval-mlogloss:0.594583
[346] train-mlogloss:0.576413 eval-mlogloss:0.594544
[347] train-mlogloss:0.576213 eval-mlogloss:0.594345
[348] train-mlogloss:0.575993 eval-mlogloss:0.594075
[349] train-mlogloss:0.575792 eval-mlogloss:0.593975
[350] train-mlogloss:0.575562 eval-mlogloss:0.593852
[351] train-mlogloss:0.575355 eval-mlogloss:0.593536
[352] train-mlogloss:0.575161 eval-mlogloss:0.593210
[353] train-mlogloss:0.574937 eval-mlogloss:0.592938
[354] train-mlogloss:0.574729 eval-mlogloss:0.592798
[355] train-mlogloss:0.574555 eval-mlogloss:0.592665
[356] train-mlogloss:0.574346 eval-mlogloss:0.592412
[357] train-mlogloss:0.574187 eval-mlogloss:0.592359
[358] train-mlogloss:0.573984 eval-mlogloss:0.592024
[359] train-mlogloss:0.573769 eval-mlogloss:0.591990
[360] train-mlogloss:0.573588 eval-mlogloss:0.591907
[361] train-mlogloss:0.573380 eval-mlogloss:0.591678
[362] train-mlogloss:0.573143 eval-mlogloss:0.591490
[363] train-mlogloss:0.572959 eval-mlogloss:0.591454
[364] train-mlogloss:0.572791 eval-mlogloss:0.591479
[365] train-mlogloss:0.572576 eval-mlogloss:0.591318
[366] train-mlogloss:0.572411 eval-mlogloss:0.591092
[367] train-mlogloss:0.572218 eval-mlogloss:0.590905
[368] train-mlogloss:0.572009 eval-mlogloss:0.590964
[369] train-mlogloss:0.571799 eval-mlogloss:0.590834
[370] train-mlogloss:0.571593 eval-mlogloss:0.590575
[371] train-mlogloss:0.571386 eval-mlogloss:0.590400
[372] train-mlogloss:0.571193 eval-mlogloss:0.590243
[373] train-mlogloss:0.570999 eval-mlogloss:0.590067
[374] train-mlogloss:0.570824 eval-mlogloss:0.590042
[375] train-mlogloss:0.570612 eval-mlogloss:0.589885
[376] train-mlogloss:0.570483 eval-mlogloss:0.589854
[377] train-mlogloss:0.570271 eval-mlogloss:0.589800
[378] train-mlogloss:0.570088 eval-mlogloss:0.589758
[379] train-mlogloss:0.569898 eval-mlogloss:0.589555
[380] train-mlogloss:0.569708 eval-mlogloss:0.589367
[381] train-mlogloss:0.569541 eval-mlogloss:0.589182
[382] train-mlogloss:0.569369 eval-mlogloss:0.589220
[383] train-mlogloss:0.569175 eval-mlogloss:0.589034
[384] train-mlogloss:0.569014 eval-mlogloss:0.588776
[385] train-mlogloss:0.568843 eval-mlogloss:0.588777
[386] train-mlogloss:0.568650 eval-mlogloss:0.588581
[387] train-mlogloss:0.568436 eval-mlogloss:0.588494
[388] train-mlogloss:0.568301 eval-mlogloss:0.588432
[389] train-mlogloss:0.568092 eval-mlogloss:0.588303
[390] train-mlogloss:0.567924 eval-mlogloss:0.588311
[391] train-mlogloss:0.567749 eval-mlogloss:0.588104
[392] train-mlogloss:0.567571 eval-mlogloss:0.588032
[393] train-mlogloss:0.567378 eval-mlogloss:0.587914
[394] train-mlogloss:0.567194 eval-mlogloss:0.587714
[395] train-mlogloss:0.566998 eval-mlogloss:0.587519
[396] train-mlogloss:0.566816 eval-mlogloss:0.587264
[397] train-mlogloss:0.566670 eval-mlogloss:0.587135
[398] train-mlogloss:0.566462 eval-mlogloss:0.587060
[399] train-mlogloss:0.566246 eval-mlogloss:0.586926
[400] train-mlogloss:0.566095 eval-mlogloss:0.586779
[401] train-mlogloss:0.565942 eval-mlogloss:0.586647
[402] train-mlogloss:0.565775 eval-mlogloss:0.586443
[403] train-mlogloss:0.565619 eval-mlogloss:0.586108
[404] train-mlogloss:0.565451 eval-mlogloss:0.585954
[405] train-mlogloss:0.565263 eval-mlogloss:0.585674
[406] train-mlogloss:0.565102 eval-mlogloss:0.585504
[407] train-mlogloss:0.564952 eval-mlogloss:0.585405
[408] train-mlogloss:0.564800 eval-mlogloss:0.585227
[409] train-mlogloss:0.564622 eval-mlogloss:0.585124
[410] train-mlogloss:0.564450 eval-mlogloss:0.585015
[411] train-mlogloss:0.564284 eval-mlogloss:0.584879
[412] train-mlogloss:0.564143 eval-mlogloss:0.584868
[413] train-mlogloss:0.563984 eval-mlogloss:0.584735
[414] train-mlogloss:0.563828 eval-mlogloss:0.584520
[415] train-mlogloss:0.563656 eval-mlogloss:0.584342
[416] train-mlogloss:0.563473 eval-mlogloss:0.584208
[417] train-mlogloss:0.563346 eval-mlogloss:0.584311
[418] train-mlogloss:0.563167 eval-mlogloss:0.584124
[419] train-mlogloss:0.563049 eval-mlogloss:0.583967
[420] train-mlogloss:0.562895 eval-mlogloss:0.583951
[421] train-mlogloss:0.562747 eval-mlogloss:0.584011
[422] train-mlogloss:0.562591 eval-mlogloss:0.583873
[423] train-mlogloss:0.562397 eval-mlogloss:0.583806
[424] train-mlogloss:0.562244 eval-mlogloss:0.583739
[425] train-mlogloss:0.562076 eval-mlogloss:0.583732
[426] train-mlogloss:0.561946 eval-mlogloss:0.583691
[427] train-mlogloss:0.561800 eval-mlogloss:0.583492
[428] train-mlogloss:0.561654 eval-mlogloss:0.583412
[429] train-mlogloss:0.561513 eval-mlogloss:0.583276
[430] train-mlogloss:0.561353 eval-mlogloss:0.583173
[431] train-mlogloss:0.561238 eval-mlogloss:0.582962
[432] train-mlogloss:0.561102 eval-mlogloss:0.582971
[433] train-mlogloss:0.560970 eval-mlogloss:0.582893
[434] train-mlogloss:0.560830 eval-mlogloss:0.582908
[435] train-mlogloss:0.560720 eval-mlogloss:0.582828
[436] train-mlogloss:0.560570 eval-mlogloss:0.582632
[437] train-mlogloss:0.560437 eval-mlogloss:0.582541
[438] train-mlogloss:0.560300 eval-mlogloss:0.582541
[439] train-mlogloss:0.560112 eval-mlogloss:0.582382
[440] train-mlogloss:0.559974 eval-mlogloss:0.582316
[441] train-mlogloss:0.559826 eval-mlogloss:0.582333
[442] train-mlogloss:0.559680 eval-mlogloss:0.582305
[443] train-mlogloss:0.559544 eval-mlogloss:0.582250
[444] train-mlogloss:0.559356 eval-mlogloss:0.582097
[445] train-mlogloss:0.559230 eval-mlogloss:0.582038
[446] train-mlogloss:0.559092 eval-mlogloss:0.581997
[447] train-mlogloss:0.558971 eval-mlogloss:0.582039
[448] train-mlogloss:0.558814 eval-mlogloss:0.581964
[449] train-mlogloss:0.558687 eval-mlogloss:0.581837
[450] train-mlogloss:0.558549 eval-mlogloss:0.581735
[451] train-mlogloss:0.558414 eval-mlogloss:0.581733
[452] train-mlogloss:0.558285 eval-mlogloss:0.581691
[453] train-mlogloss:0.558159 eval-mlogloss:0.581727
[454] train-mlogloss:0.558012 eval-mlogloss:0.581635
[455] train-mlogloss:0.557867 eval-mlogloss:0.581640
[456] train-mlogloss:0.557748 eval-mlogloss:0.581574
[457] train-mlogloss:0.557602 eval-mlogloss:0.581510
[458] train-mlogloss:0.557475 eval-mlogloss:0.581477
[459] train-mlogloss:0.557380 eval-mlogloss:0.581474
[460] train-mlogloss:0.557295 eval-mlogloss:0.581400
[461] train-mlogloss:0.557147 eval-mlogloss:0.581398
[462] train-mlogloss:0.556988 eval-mlogloss:0.581291
[463] train-mlogloss:0.556835 eval-mlogloss:0.581049
[464] train-mlogloss:0.556693 eval-mlogloss:0.581025
[465] train-mlogloss:0.556543 eval-mlogloss:0.580833
[466] train-mlogloss:0.556433 eval-mlogloss:0.580796
[467] train-mlogloss:0.556275 eval-mlogloss:0.580653
[468] train-mlogloss:0.556154 eval-mlogloss:0.580503
[469] train-mlogloss:0.556070 eval-mlogloss:0.580509
[470] train-mlogloss:0.555951 eval-mlogloss:0.580536
[471] train-mlogloss:0.555841 eval-mlogloss:0.580505
[472] train-mlogloss:0.555731 eval-mlogloss:0.580423
[473] train-mlogloss:0.555598 eval-mlogloss:0.580244
[474] train-mlogloss:0.555455 eval-mlogloss:0.580179
[475] train-mlogloss:0.555348 eval-mlogloss:0.580100
[476] train-mlogloss:0.555216 eval-mlogloss:0.579953
[477] train-mlogloss:0.555088 eval-mlogloss:0.579916
[478] train-mlogloss:0.554968 eval-mlogloss:0.579930
[479] train-mlogloss:0.554837 eval-mlogloss:0.579908
[480] train-mlogloss:0.554704 eval-mlogloss:0.579845
[481] train-mlogloss:0.554608 eval-mlogloss:0.579801
[482] train-mlogloss:0.554490 eval-mlogloss:0.579638
[483] train-mlogloss:0.554420 eval-mlogloss:0.579721
[484] train-mlogloss:0.554291 eval-mlogloss:0.579707
[485] train-mlogloss:0.554179 eval-mlogloss:0.579755
[486] train-mlogloss:0.554047 eval-mlogloss:0.579711
[487] train-mlogloss:0.553942 eval-mlogloss:0.579574
[488] train-mlogloss:0.553818 eval-mlogloss:0.579581
[489] train-mlogloss:0.553688 eval-mlogloss:0.579409
[490] train-mlogloss:0.553563 eval-mlogloss:0.579220
[491] train-mlogloss:0.553449 eval-mlogloss:0.579219
[492] train-mlogloss:0.553337 eval-mlogloss:0.579212
[493] train-mlogloss:0.553232 eval-mlogloss:0.579178
[494] train-mlogloss:0.553075 eval-mlogloss:0.579047
[495] train-mlogloss:0.552952 eval-mlogloss:0.579003
[496] train-mlogloss:0.552841 eval-mlogloss:0.578874
[497] train-mlogloss:0.552745 eval-mlogloss:0.578858
[498] train-mlogloss:0.552620 eval-mlogloss:0.578826
[499] train-mlogloss:0.552515 eval-mlogloss:0.578910
Training with params :
{'eta': 0.30000000000000004, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 1.0, 'silent': 1, 'subsample': 0.5, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.5789096562381619
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.389113 eval-mlogloss:1.400959
[1] train-mlogloss:1.142013 eval-mlogloss:1.160041
[2] train-mlogloss:0.986562 eval-mlogloss:1.009131
[3] train-mlogloss:0.878158 eval-mlogloss:0.905519
[4] train-mlogloss:0.798620 eval-mlogloss:0.830811
[5] train-mlogloss:0.740898 eval-mlogloss:0.777168
[6] train-mlogloss:0.694367 eval-mlogloss:0.735736
[7] train-mlogloss:0.655632 eval-mlogloss:0.702910
[8] train-mlogloss:0.624670 eval-mlogloss:0.676654
[9] train-mlogloss:0.599001 eval-mlogloss:0.655118
[10] train-mlogloss:0.579406 eval-mlogloss:0.639392
[11] train-mlogloss:0.561691 eval-mlogloss:0.624949
[12] train-mlogloss:0.545016 eval-mlogloss:0.613226
[13] train-mlogloss:0.530673 eval-mlogloss:0.602973
[14] train-mlogloss:0.518710 eval-mlogloss:0.594563
[15] train-mlogloss:0.508812 eval-mlogloss:0.587177
[16] train-mlogloss:0.498267 eval-mlogloss:0.579399
[17] train-mlogloss:0.488878 eval-mlogloss:0.573366
[18] train-mlogloss:0.481496 eval-mlogloss:0.567751
[19] train-mlogloss:0.474587 eval-mlogloss:0.563683
[20] train-mlogloss:0.465794 eval-mlogloss:0.558590
[21] train-mlogloss:0.459021 eval-mlogloss:0.554092
[22] train-mlogloss:0.451789 eval-mlogloss:0.550519
[23] train-mlogloss:0.444695 eval-mlogloss:0.547540
[24] train-mlogloss:0.439667 eval-mlogloss:0.545120
[25] train-mlogloss:0.432901 eval-mlogloss:0.542697
[26] train-mlogloss:0.427825 eval-mlogloss:0.540588
[27] train-mlogloss:0.422940 eval-mlogloss:0.538026
[28] train-mlogloss:0.417784 eval-mlogloss:0.535307
[29] train-mlogloss:0.412895 eval-mlogloss:0.533132
[30] train-mlogloss:0.407637 eval-mlogloss:0.531258
[31] train-mlogloss:0.403333 eval-mlogloss:0.529425
[32] train-mlogloss:0.398804 eval-mlogloss:0.527733
[33] train-mlogloss:0.394147 eval-mlogloss:0.526093
[34] train-mlogloss:0.389974 eval-mlogloss:0.524545
[35] train-mlogloss:0.385141 eval-mlogloss:0.521962
[36] train-mlogloss:0.382088 eval-mlogloss:0.520644
[37] train-mlogloss:0.377362 eval-mlogloss:0.518908
[38] train-mlogloss:0.374887 eval-mlogloss:0.517443
[39] train-mlogloss:0.371465 eval-mlogloss:0.516156
[40] train-mlogloss:0.367373 eval-mlogloss:0.515389
[41] train-mlogloss:0.363578 eval-mlogloss:0.514541
[42] train-mlogloss:0.359520 eval-mlogloss:0.513432
[43] train-mlogloss:0.355439 eval-mlogloss:0.512310
[44] train-mlogloss:0.352391 eval-mlogloss:0.511599
[45] train-mlogloss:0.349306 eval-mlogloss:0.510773
[46] train-mlogloss:0.346276 eval-mlogloss:0.510041
[47] train-mlogloss:0.342596 eval-mlogloss:0.509100
[48] train-mlogloss:0.339857 eval-mlogloss:0.508284
[49] train-mlogloss:0.336770 eval-mlogloss:0.507241
[50] train-mlogloss:0.334479 eval-mlogloss:0.506390
[51] train-mlogloss:0.330972 eval-mlogloss:0.505590
[52] train-mlogloss:0.328139 eval-mlogloss:0.504944
[53] train-mlogloss:0.324963 eval-mlogloss:0.504759
[54] train-mlogloss:0.321944 eval-mlogloss:0.504246
[55] train-mlogloss:0.319729 eval-mlogloss:0.503900
[56] train-mlogloss:0.317261 eval-mlogloss:0.503204
[57] train-mlogloss:0.313973 eval-mlogloss:0.502656
[58] train-mlogloss:0.311738 eval-mlogloss:0.502255
[59] train-mlogloss:0.309693 eval-mlogloss:0.501906
[60] train-mlogloss:0.307502 eval-mlogloss:0.501911
[61] train-mlogloss:0.304854 eval-mlogloss:0.501494
[62] train-mlogloss:0.301746 eval-mlogloss:0.501026
[63] train-mlogloss:0.299385 eval-mlogloss:0.500186
[64] train-mlogloss:0.296826 eval-mlogloss:0.500258
[65] train-mlogloss:0.294358 eval-mlogloss:0.500074
[66] train-mlogloss:0.291955 eval-mlogloss:0.499165
[67] train-mlogloss:0.288886 eval-mlogloss:0.498517
[68] train-mlogloss:0.286216 eval-mlogloss:0.497998
[69] train-mlogloss:0.283813 eval-mlogloss:0.497680
[70] train-mlogloss:0.282199 eval-mlogloss:0.497306
[71] train-mlogloss:0.280071 eval-mlogloss:0.497141
[72] train-mlogloss:0.277205 eval-mlogloss:0.497404
[73] train-mlogloss:0.274810 eval-mlogloss:0.496684
[74] train-mlogloss:0.273174 eval-mlogloss:0.496627
[75] train-mlogloss:0.270509 eval-mlogloss:0.495790
[76] train-mlogloss:0.268121 eval-mlogloss:0.496213
[77] train-mlogloss:0.265727 eval-mlogloss:0.496248
[78] train-mlogloss:0.264199 eval-mlogloss:0.496130
[79] train-mlogloss:0.262176 eval-mlogloss:0.496267
[80] train-mlogloss:0.260410 eval-mlogloss:0.496143
[81] train-mlogloss:0.258142 eval-mlogloss:0.495684
[82] train-mlogloss:0.256026 eval-mlogloss:0.495540
[83] train-mlogloss:0.253811 eval-mlogloss:0.495343
[84] train-mlogloss:0.251721 eval-mlogloss:0.495416
[85] train-mlogloss:0.250226 eval-mlogloss:0.495356
[86] train-mlogloss:0.248435 eval-mlogloss:0.494960
[87] train-mlogloss:0.246620 eval-mlogloss:0.495016
[88] train-mlogloss:0.244704 eval-mlogloss:0.494129
[89] train-mlogloss:0.242915 eval-mlogloss:0.494094
[90] train-mlogloss:0.240878 eval-mlogloss:0.494134
[91] train-mlogloss:0.238874 eval-mlogloss:0.494758
[92] train-mlogloss:0.236646 eval-mlogloss:0.494865
[93] train-mlogloss:0.234640 eval-mlogloss:0.494912
[94] train-mlogloss:0.233311 eval-mlogloss:0.495152
[95] train-mlogloss:0.231666 eval-mlogloss:0.495003
[96] train-mlogloss:0.230261 eval-mlogloss:0.494628
[97] train-mlogloss:0.228394 eval-mlogloss:0.494499
[98] train-mlogloss:0.226226 eval-mlogloss:0.494322
Training with params :
{'eta': 0.4, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9, 'max_depth': 6.0, 'silent': 1, 'subsample': 0.6000000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.49452048689508915
[99] train-mlogloss:0.224718 eval-mlogloss:0.494521
Stopping. Best iteration:
[89] train-mlogloss:0.242915 eval-mlogloss:0.494094
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.870513 eval-mlogloss:1.882842
[1] train-mlogloss:1.659897 eval-mlogloss:1.683517
[2] train-mlogloss:1.497852 eval-mlogloss:1.529955
[3] train-mlogloss:1.366200 eval-mlogloss:1.406277
[4] train-mlogloss:1.257382 eval-mlogloss:1.304253
[5] train-mlogloss:1.164397 eval-mlogloss:1.218341
[6] train-mlogloss:1.085614 eval-mlogloss:1.145017
[7] train-mlogloss:1.017864 eval-mlogloss:1.083359
[8] train-mlogloss:0.957014 eval-mlogloss:1.028396
[9] train-mlogloss:0.902667 eval-mlogloss:0.979542
[10] train-mlogloss:0.855145 eval-mlogloss:0.936718
[11] train-mlogloss:0.811723 eval-mlogloss:0.898256
[12] train-mlogloss:0.773319 eval-mlogloss:0.864135
[13] train-mlogloss:0.738202 eval-mlogloss:0.833549
[14] train-mlogloss:0.707469 eval-mlogloss:0.806433
[15] train-mlogloss:0.678868 eval-mlogloss:0.781884
[16] train-mlogloss:0.653515 eval-mlogloss:0.760281
[17] train-mlogloss:0.630141 eval-mlogloss:0.740037
[18] train-mlogloss:0.607234 eval-mlogloss:0.721073
[19] train-mlogloss:0.586732 eval-mlogloss:0.704440
[20] train-mlogloss:0.568457 eval-mlogloss:0.689378
[21] train-mlogloss:0.550869 eval-mlogloss:0.675302
[22] train-mlogloss:0.535134 eval-mlogloss:0.662617
[23] train-mlogloss:0.519933 eval-mlogloss:0.650554
[24] train-mlogloss:0.506479 eval-mlogloss:0.640071
[25] train-mlogloss:0.494516 eval-mlogloss:0.630472
[26] train-mlogloss:0.482609 eval-mlogloss:0.621326
[27] train-mlogloss:0.471060 eval-mlogloss:0.612637
[28] train-mlogloss:0.460560 eval-mlogloss:0.604577
[29] train-mlogloss:0.451333 eval-mlogloss:0.597653
[30] train-mlogloss:0.442822 eval-mlogloss:0.591306
[31] train-mlogloss:0.434815 eval-mlogloss:0.585404
[32] train-mlogloss:0.426859 eval-mlogloss:0.579183
[33] train-mlogloss:0.419114 eval-mlogloss:0.573874
[34] train-mlogloss:0.411881 eval-mlogloss:0.568800
[35] train-mlogloss:0.405783 eval-mlogloss:0.564304
[36] train-mlogloss:0.400043 eval-mlogloss:0.560265
[37] train-mlogloss:0.394059 eval-mlogloss:0.556212
[38] train-mlogloss:0.389055 eval-mlogloss:0.552301
[39] train-mlogloss:0.383969 eval-mlogloss:0.548655
[40] train-mlogloss:0.379543 eval-mlogloss:0.545446
[41] train-mlogloss:0.375135 eval-mlogloss:0.542551
[42] train-mlogloss:0.371221 eval-mlogloss:0.539903
[43] train-mlogloss:0.367344 eval-mlogloss:0.537366
[44] train-mlogloss:0.363581 eval-mlogloss:0.534862
[45] train-mlogloss:0.359196 eval-mlogloss:0.531924
[46] train-mlogloss:0.355958 eval-mlogloss:0.529774
[47] train-mlogloss:0.352301 eval-mlogloss:0.527418
[48] train-mlogloss:0.348797 eval-mlogloss:0.524999
[49] train-mlogloss:0.345649 eval-mlogloss:0.522924
[50] train-mlogloss:0.341948 eval-mlogloss:0.520847
[51] train-mlogloss:0.338760 eval-mlogloss:0.518992
[52] train-mlogloss:0.335760 eval-mlogloss:0.517021
[53] train-mlogloss:0.332587 eval-mlogloss:0.515232
[54] train-mlogloss:0.329818 eval-mlogloss:0.513826
[55] train-mlogloss:0.326811 eval-mlogloss:0.512137
[56] train-mlogloss:0.324531 eval-mlogloss:0.510557
[57] train-mlogloss:0.322176 eval-mlogloss:0.509172
[58] train-mlogloss:0.320422 eval-mlogloss:0.508004
[59] train-mlogloss:0.318134 eval-mlogloss:0.506694
[60] train-mlogloss:0.315887 eval-mlogloss:0.505493
[61] train-mlogloss:0.313452 eval-mlogloss:0.504006
[62] train-mlogloss:0.311087 eval-mlogloss:0.502832
[63] train-mlogloss:0.309175 eval-mlogloss:0.501769
[64] train-mlogloss:0.307232 eval-mlogloss:0.500649
[65] train-mlogloss:0.305001 eval-mlogloss:0.499713
[66] train-mlogloss:0.302294 eval-mlogloss:0.498458
[67] train-mlogloss:0.300448 eval-mlogloss:0.497591
[68] train-mlogloss:0.298632 eval-mlogloss:0.496647
[69] train-mlogloss:0.297032 eval-mlogloss:0.495800
[70] train-mlogloss:0.295412 eval-mlogloss:0.494947
[71] train-mlogloss:0.293012 eval-mlogloss:0.494065
[72] train-mlogloss:0.291260 eval-mlogloss:0.493350
[73] train-mlogloss:0.289360 eval-mlogloss:0.492458
[74] train-mlogloss:0.287912 eval-mlogloss:0.491804
[75] train-mlogloss:0.286588 eval-mlogloss:0.491073
[76] train-mlogloss:0.284804 eval-mlogloss:0.490383
[77] train-mlogloss:0.282738 eval-mlogloss:0.489511
[78] train-mlogloss:0.280286 eval-mlogloss:0.488762
[79] train-mlogloss:0.278714 eval-mlogloss:0.488067
[80] train-mlogloss:0.277395 eval-mlogloss:0.487488
[81] train-mlogloss:0.276190 eval-mlogloss:0.486883
[82] train-mlogloss:0.274513 eval-mlogloss:0.486367
[83] train-mlogloss:0.272822 eval-mlogloss:0.485782
[84] train-mlogloss:0.271312 eval-mlogloss:0.485134
[85] train-mlogloss:0.269913 eval-mlogloss:0.484542
[86] train-mlogloss:0.268709 eval-mlogloss:0.484009
[87] train-mlogloss:0.267558 eval-mlogloss:0.483398
[88] train-mlogloss:0.265608 eval-mlogloss:0.482660
[89] train-mlogloss:0.263907 eval-mlogloss:0.482105
[90] train-mlogloss:0.262501 eval-mlogloss:0.481724
[91] train-mlogloss:0.260925 eval-mlogloss:0.481265
[92] train-mlogloss:0.259762 eval-mlogloss:0.480789
[93] train-mlogloss:0.258354 eval-mlogloss:0.480102
[94] train-mlogloss:0.257443 eval-mlogloss:0.479767
[95] train-mlogloss:0.256652 eval-mlogloss:0.479483
[96] train-mlogloss:0.255572 eval-mlogloss:0.479074
[97] train-mlogloss:0.253739 eval-mlogloss:0.478575
[98] train-mlogloss:0.252751 eval-mlogloss:0.478347
[99] train-mlogloss:0.251734 eval-mlogloss:0.478100
[100] train-mlogloss:0.250543 eval-mlogloss:0.477777
[101] train-mlogloss:0.249126 eval-mlogloss:0.477380
[102] train-mlogloss:0.248168 eval-mlogloss:0.476936
[103] train-mlogloss:0.246997 eval-mlogloss:0.476654
[104] train-mlogloss:0.245788 eval-mlogloss:0.476333
[105] train-mlogloss:0.244622 eval-mlogloss:0.475975
[106] train-mlogloss:0.243843 eval-mlogloss:0.475706
[107] train-mlogloss:0.242839 eval-mlogloss:0.475361
[108] train-mlogloss:0.241708 eval-mlogloss:0.475128
[109] train-mlogloss:0.240786 eval-mlogloss:0.474802
[110] train-mlogloss:0.239626 eval-mlogloss:0.474608
[111] train-mlogloss:0.238391 eval-mlogloss:0.474203
[112] train-mlogloss:0.237543 eval-mlogloss:0.474006
[113] train-mlogloss:0.236052 eval-mlogloss:0.473904
[114] train-mlogloss:0.234835 eval-mlogloss:0.473487
[115] train-mlogloss:0.234218 eval-mlogloss:0.473321
[116] train-mlogloss:0.233277 eval-mlogloss:0.473005
[117] train-mlogloss:0.232651 eval-mlogloss:0.472818
[118] train-mlogloss:0.231320 eval-mlogloss:0.472493
[119] train-mlogloss:0.230826 eval-mlogloss:0.472329
[120] train-mlogloss:0.229883 eval-mlogloss:0.472220
[121] train-mlogloss:0.228859 eval-mlogloss:0.471983
[122] train-mlogloss:0.228098 eval-mlogloss:0.471719
[123] train-mlogloss:0.227473 eval-mlogloss:0.471465
[124] train-mlogloss:0.226133 eval-mlogloss:0.471008
[125] train-mlogloss:0.225274 eval-mlogloss:0.470750
[126] train-mlogloss:0.224212 eval-mlogloss:0.470565
[127] train-mlogloss:0.223635 eval-mlogloss:0.470303
[128] train-mlogloss:0.222928 eval-mlogloss:0.470155
[129] train-mlogloss:0.222171 eval-mlogloss:0.470057
[130] train-mlogloss:0.221298 eval-mlogloss:0.469858
[131] train-mlogloss:0.220394 eval-mlogloss:0.469642
[132] train-mlogloss:0.219804 eval-mlogloss:0.469364
[133] train-mlogloss:0.219271 eval-mlogloss:0.469203
[134] train-mlogloss:0.218394 eval-mlogloss:0.468970
[135] train-mlogloss:0.217228 eval-mlogloss:0.468755
[136] train-mlogloss:0.216198 eval-mlogloss:0.468575
[137] train-mlogloss:0.215410 eval-mlogloss:0.468321
[138] train-mlogloss:0.214552 eval-mlogloss:0.468133
[139] train-mlogloss:0.213481 eval-mlogloss:0.468010
[140] train-mlogloss:0.212709 eval-mlogloss:0.467864
[141] train-mlogloss:0.212215 eval-mlogloss:0.467751
[142] train-mlogloss:0.211656 eval-mlogloss:0.467582
[143] train-mlogloss:0.210823 eval-mlogloss:0.467563
[144] train-mlogloss:0.209810 eval-mlogloss:0.467318
[145] train-mlogloss:0.208671 eval-mlogloss:0.466893
[146] train-mlogloss:0.207677 eval-mlogloss:0.466577
[147] train-mlogloss:0.207024 eval-mlogloss:0.466364
[148] train-mlogloss:0.206318 eval-mlogloss:0.466311
[149] train-mlogloss:0.205711 eval-mlogloss:0.466260
[150] train-mlogloss:0.205081 eval-mlogloss:0.466045
[151] train-mlogloss:0.204475 eval-mlogloss:0.465961
[152] train-mlogloss:0.204039 eval-mlogloss:0.465912
[153] train-mlogloss:0.203435 eval-mlogloss:0.465894
[154] train-mlogloss:0.202659 eval-mlogloss:0.465728
[155] train-mlogloss:0.202090 eval-mlogloss:0.465553
[156] train-mlogloss:0.201029 eval-mlogloss:0.465252
[157] train-mlogloss:0.200358 eval-mlogloss:0.465113
[158] train-mlogloss:0.199896 eval-mlogloss:0.465104
[159] train-mlogloss:0.198920 eval-mlogloss:0.464784
[160] train-mlogloss:0.198230 eval-mlogloss:0.464585
[161] train-mlogloss:0.197870 eval-mlogloss:0.464424
[162] train-mlogloss:0.197388 eval-mlogloss:0.464432
[163] train-mlogloss:0.196757 eval-mlogloss:0.464262
[164] train-mlogloss:0.196441 eval-mlogloss:0.464228
[165] train-mlogloss:0.195880 eval-mlogloss:0.464057
[166] train-mlogloss:0.195235 eval-mlogloss:0.463736
[167] train-mlogloss:0.194264 eval-mlogloss:0.463636
[168] train-mlogloss:0.193411 eval-mlogloss:0.463572
[169] train-mlogloss:0.192864 eval-mlogloss:0.463488
[170] train-mlogloss:0.192488 eval-mlogloss:0.463425
[171] train-mlogloss:0.191943 eval-mlogloss:0.463400
[172] train-mlogloss:0.191295 eval-mlogloss:0.463261
[173] train-mlogloss:0.190752 eval-mlogloss:0.463211
[174] train-mlogloss:0.190219 eval-mlogloss:0.463172
[175] train-mlogloss:0.189399 eval-mlogloss:0.463069
[176] train-mlogloss:0.188911 eval-mlogloss:0.463019
[177] train-mlogloss:0.188269 eval-mlogloss:0.462900
[178] train-mlogloss:0.188064 eval-mlogloss:0.462823
[179] train-mlogloss:0.187371 eval-mlogloss:0.462838
[180] train-mlogloss:0.186920 eval-mlogloss:0.462736
[181] train-mlogloss:0.186321 eval-mlogloss:0.462638
[182] train-mlogloss:0.186067 eval-mlogloss:0.462531
[183] train-mlogloss:0.185377 eval-mlogloss:0.462474
[184] train-mlogloss:0.184882 eval-mlogloss:0.462357
[185] train-mlogloss:0.184354 eval-mlogloss:0.462174
[186] train-mlogloss:0.183680 eval-mlogloss:0.462150
[187] train-mlogloss:0.183375 eval-mlogloss:0.462140
[188] train-mlogloss:0.182999 eval-mlogloss:0.462103
[189] train-mlogloss:0.182679 eval-mlogloss:0.462088
[190] train-mlogloss:0.182078 eval-mlogloss:0.462147
[191] train-mlogloss:0.181788 eval-mlogloss:0.462131
[192] train-mlogloss:0.181262 eval-mlogloss:0.462141
[193] train-mlogloss:0.180928 eval-mlogloss:0.462158
[194] train-mlogloss:0.180367 eval-mlogloss:0.462077
[195] train-mlogloss:0.180223 eval-mlogloss:0.462031
[196] train-mlogloss:0.179772 eval-mlogloss:0.461996
[197] train-mlogloss:0.179143 eval-mlogloss:0.461767
[198] train-mlogloss:0.178414 eval-mlogloss:0.461665
[199] train-mlogloss:0.178083 eval-mlogloss:0.461656
[200] train-mlogloss:0.177679 eval-mlogloss:0.461638
[201] train-mlogloss:0.177269 eval-mlogloss:0.461540
[202] train-mlogloss:0.176887 eval-mlogloss:0.461599
[203] train-mlogloss:0.176446 eval-mlogloss:0.461617
[204] train-mlogloss:0.175884 eval-mlogloss:0.461570
[205] train-mlogloss:0.175415 eval-mlogloss:0.461669
[206] train-mlogloss:0.174988 eval-mlogloss:0.461633
[207] train-mlogloss:0.174759 eval-mlogloss:0.461633
[208] train-mlogloss:0.174090 eval-mlogloss:0.461564
[209] train-mlogloss:0.173924 eval-mlogloss:0.461558
[210] train-mlogloss:0.173258 eval-mlogloss:0.461450
[211] train-mlogloss:0.172783 eval-mlogloss:0.461415
[212] train-mlogloss:0.172294 eval-mlogloss:0.461380
[213] train-mlogloss:0.171892 eval-mlogloss:0.461324
[214] train-mlogloss:0.171445 eval-mlogloss:0.461341
[215] train-mlogloss:0.170899 eval-mlogloss:0.461374
[216] train-mlogloss:0.170069 eval-mlogloss:0.461134
[217] train-mlogloss:0.169462 eval-mlogloss:0.461085
[218] train-mlogloss:0.169225 eval-mlogloss:0.461096
[219] train-mlogloss:0.168548 eval-mlogloss:0.460980
[220] train-mlogloss:0.168210 eval-mlogloss:0.460889
[221] train-mlogloss:0.168002 eval-mlogloss:0.460794
[222] train-mlogloss:0.167518 eval-mlogloss:0.460836
[223] train-mlogloss:0.167139 eval-mlogloss:0.460881
[224] train-mlogloss:0.166920 eval-mlogloss:0.460769
[225] train-mlogloss:0.166629 eval-mlogloss:0.460782
[226] train-mlogloss:0.165980 eval-mlogloss:0.460814
[227] train-mlogloss:0.165737 eval-mlogloss:0.460832
[228] train-mlogloss:0.165418 eval-mlogloss:0.460762
[229] train-mlogloss:0.164744 eval-mlogloss:0.460714
[230] train-mlogloss:0.164331 eval-mlogloss:0.460777
[231] train-mlogloss:0.163711 eval-mlogloss:0.460731
[232] train-mlogloss:0.163313 eval-mlogloss:0.460750
[233] train-mlogloss:0.162984 eval-mlogloss:0.460732
[234] train-mlogloss:0.162650 eval-mlogloss:0.460657
[235] train-mlogloss:0.162393 eval-mlogloss:0.460657
[236] train-mlogloss:0.162152 eval-mlogloss:0.460729
[237] train-mlogloss:0.161694 eval-mlogloss:0.460716
[238] train-mlogloss:0.161297 eval-mlogloss:0.460671
[239] train-mlogloss:0.160940 eval-mlogloss:0.460828
[240] train-mlogloss:0.160396 eval-mlogloss:0.460737
[241] train-mlogloss:0.159906 eval-mlogloss:0.460642
[242] train-mlogloss:0.159599 eval-mlogloss:0.460639
[243] train-mlogloss:0.159473 eval-mlogloss:0.460649
[244] train-mlogloss:0.159378 eval-mlogloss:0.460643
[245] train-mlogloss:0.159062 eval-mlogloss:0.460609
[246] train-mlogloss:0.158756 eval-mlogloss:0.460608
[247] train-mlogloss:0.158168 eval-mlogloss:0.460519
[248] train-mlogloss:0.157989 eval-mlogloss:0.460533
[249] train-mlogloss:0.157599 eval-mlogloss:0.460472
[250] train-mlogloss:0.157263 eval-mlogloss:0.460380
[251] train-mlogloss:0.157034 eval-mlogloss:0.460398
[252] train-mlogloss:0.156580 eval-mlogloss:0.460300
[253] train-mlogloss:0.156143 eval-mlogloss:0.460181
[254] train-mlogloss:0.155919 eval-mlogloss:0.460135
[255] train-mlogloss:0.155700 eval-mlogloss:0.460131
[256] train-mlogloss:0.155369 eval-mlogloss:0.460148
[257] train-mlogloss:0.154872 eval-mlogloss:0.460103
[258] train-mlogloss:0.154404 eval-mlogloss:0.460047
[259] train-mlogloss:0.154052 eval-mlogloss:0.460078
[260] train-mlogloss:0.153797 eval-mlogloss:0.460075
[261] train-mlogloss:0.153622 eval-mlogloss:0.460111
[262] train-mlogloss:0.153298 eval-mlogloss:0.460107
[263] train-mlogloss:0.153063 eval-mlogloss:0.460121
[264] train-mlogloss:0.152756 eval-mlogloss:0.460142
[265] train-mlogloss:0.152433 eval-mlogloss:0.460063
[266] train-mlogloss:0.152093 eval-mlogloss:0.460074
[267] train-mlogloss:0.151619 eval-mlogloss:0.459961
[268] train-mlogloss:0.151368 eval-mlogloss:0.459991
[269] train-mlogloss:0.151105 eval-mlogloss:0.460008
[270] train-mlogloss:0.150819 eval-mlogloss:0.460059
[271] train-mlogloss:0.150412 eval-mlogloss:0.460071
[272] train-mlogloss:0.150064 eval-mlogloss:0.459925
[273] train-mlogloss:0.149891 eval-mlogloss:0.459909
[274] train-mlogloss:0.149527 eval-mlogloss:0.459976
[275] train-mlogloss:0.149092 eval-mlogloss:0.459903
[276] train-mlogloss:0.148822 eval-mlogloss:0.459794
[277] train-mlogloss:0.148559 eval-mlogloss:0.459854
[278] train-mlogloss:0.148380 eval-mlogloss:0.459847
[279] train-mlogloss:0.148163 eval-mlogloss:0.459823
[280] train-mlogloss:0.147899 eval-mlogloss:0.459726
[281] train-mlogloss:0.147693 eval-mlogloss:0.459691
[282] train-mlogloss:0.147368 eval-mlogloss:0.459618
[283] train-mlogloss:0.147201 eval-mlogloss:0.459607
[284] train-mlogloss:0.146908 eval-mlogloss:0.459563
[285] train-mlogloss:0.146571 eval-mlogloss:0.459583
[286] train-mlogloss:0.146345 eval-mlogloss:0.459564
[287] train-mlogloss:0.146099 eval-mlogloss:0.459587
[288] train-mlogloss:0.145781 eval-mlogloss:0.459581
[289] train-mlogloss:0.145513 eval-mlogloss:0.459620
[290] train-mlogloss:0.145238 eval-mlogloss:0.459670
[291] train-mlogloss:0.144960 eval-mlogloss:0.459628
[292] train-mlogloss:0.144685 eval-mlogloss:0.459664
[293] train-mlogloss:0.144521 eval-mlogloss:0.459665
Training with params :
{'eta': 0.125, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 10.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.45966032341752133
[294] train-mlogloss:0.144372 eval-mlogloss:0.459660
Stopping. Best iteration:
[284] train-mlogloss:0.146908 eval-mlogloss:0.459563
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.412404 eval-mlogloss:1.414107
[1] train-mlogloss:1.180571 eval-mlogloss:1.186496
[2] train-mlogloss:1.037841 eval-mlogloss:1.046827
[3] train-mlogloss:0.937355 eval-mlogloss:0.947454
[4] train-mlogloss:0.867295 eval-mlogloss:0.877907
[5] train-mlogloss:0.812746 eval-mlogloss:0.825399
[6] train-mlogloss:0.771269 eval-mlogloss:0.785098
[7] train-mlogloss:0.737458 eval-mlogloss:0.751899
[8] train-mlogloss:0.710448 eval-mlogloss:0.725460
[9] train-mlogloss:0.688610 eval-mlogloss:0.705674
[10] train-mlogloss:0.670635 eval-mlogloss:0.689321
[11] train-mlogloss:0.653287 eval-mlogloss:0.674530
[12] train-mlogloss:0.639816 eval-mlogloss:0.663261
[13] train-mlogloss:0.626289 eval-mlogloss:0.652160
[14] train-mlogloss:0.616054 eval-mlogloss:0.642619
[15] train-mlogloss:0.606540 eval-mlogloss:0.634584
[16] train-mlogloss:0.597638 eval-mlogloss:0.627573
[17] train-mlogloss:0.588541 eval-mlogloss:0.620479
[18] train-mlogloss:0.580929 eval-mlogloss:0.615252
[19] train-mlogloss:0.573295 eval-mlogloss:0.609087
[20] train-mlogloss:0.567250 eval-mlogloss:0.604567
[21] train-mlogloss:0.560384 eval-mlogloss:0.598927
[22] train-mlogloss:0.554357 eval-mlogloss:0.594412
[23] train-mlogloss:0.548633 eval-mlogloss:0.590392
[24] train-mlogloss:0.543349 eval-mlogloss:0.586548
[25] train-mlogloss:0.538126 eval-mlogloss:0.582869
[26] train-mlogloss:0.532718 eval-mlogloss:0.578350
[27] train-mlogloss:0.528489 eval-mlogloss:0.575202
[28] train-mlogloss:0.524264 eval-mlogloss:0.572132
[29] train-mlogloss:0.520287 eval-mlogloss:0.568844
[30] train-mlogloss:0.516204 eval-mlogloss:0.565973
[31] train-mlogloss:0.512455 eval-mlogloss:0.562967
[32] train-mlogloss:0.508689 eval-mlogloss:0.560583
[33] train-mlogloss:0.505065 eval-mlogloss:0.558435
[34] train-mlogloss:0.501825 eval-mlogloss:0.556804
[35] train-mlogloss:0.498731 eval-mlogloss:0.555177
[36] train-mlogloss:0.495135 eval-mlogloss:0.553479
[37] train-mlogloss:0.491705 eval-mlogloss:0.551215
[38] train-mlogloss:0.488653 eval-mlogloss:0.549761
[39] train-mlogloss:0.485284 eval-mlogloss:0.548517
[40] train-mlogloss:0.482196 eval-mlogloss:0.546674
[41] train-mlogloss:0.479741 eval-mlogloss:0.546097
[42] train-mlogloss:0.476843 eval-mlogloss:0.543928
[43] train-mlogloss:0.473238 eval-mlogloss:0.542470
[44] train-mlogloss:0.470032 eval-mlogloss:0.540799
[45] train-mlogloss:0.467102 eval-mlogloss:0.539300
[46] train-mlogloss:0.464644 eval-mlogloss:0.537987
[47] train-mlogloss:0.462187 eval-mlogloss:0.536499
[48] train-mlogloss:0.460332 eval-mlogloss:0.536416
[49] train-mlogloss:0.458138 eval-mlogloss:0.535149
[50] train-mlogloss:0.455693 eval-mlogloss:0.533752
[51] train-mlogloss:0.453508 eval-mlogloss:0.532171
[52] train-mlogloss:0.451162 eval-mlogloss:0.531278
[53] train-mlogloss:0.448590 eval-mlogloss:0.530234
[54] train-mlogloss:0.446639 eval-mlogloss:0.529858
[55] train-mlogloss:0.444323 eval-mlogloss:0.528778
[56] train-mlogloss:0.442315 eval-mlogloss:0.527857
[57] train-mlogloss:0.439724 eval-mlogloss:0.526538
[58] train-mlogloss:0.437644 eval-mlogloss:0.525717
[59] train-mlogloss:0.435694 eval-mlogloss:0.524790
[60] train-mlogloss:0.434000 eval-mlogloss:0.524307
[61] train-mlogloss:0.431795 eval-mlogloss:0.523341
[62] train-mlogloss:0.429786 eval-mlogloss:0.522398
[63] train-mlogloss:0.428194 eval-mlogloss:0.521654
[64] train-mlogloss:0.426374 eval-mlogloss:0.521273
[65] train-mlogloss:0.425169 eval-mlogloss:0.521395
[66] train-mlogloss:0.422876 eval-mlogloss:0.520509
[67] train-mlogloss:0.421448 eval-mlogloss:0.520169
[68] train-mlogloss:0.419400 eval-mlogloss:0.519142
[69] train-mlogloss:0.417762 eval-mlogloss:0.518560
[70] train-mlogloss:0.415967 eval-mlogloss:0.518008
[71] train-mlogloss:0.414194 eval-mlogloss:0.517442
[72] train-mlogloss:0.412493 eval-mlogloss:0.516769
[73] train-mlogloss:0.410925 eval-mlogloss:0.516273
[74] train-mlogloss:0.409346 eval-mlogloss:0.515049
[75] train-mlogloss:0.407652 eval-mlogloss:0.514844
[76] train-mlogloss:0.405923 eval-mlogloss:0.514213
[77] train-mlogloss:0.404242 eval-mlogloss:0.513609
[78] train-mlogloss:0.402662 eval-mlogloss:0.513283
[79] train-mlogloss:0.400785 eval-mlogloss:0.512591
[80] train-mlogloss:0.398863 eval-mlogloss:0.513026
[81] train-mlogloss:0.397281 eval-mlogloss:0.512719
[82] train-mlogloss:0.395769 eval-mlogloss:0.512286
[83] train-mlogloss:0.394214 eval-mlogloss:0.511510
[84] train-mlogloss:0.393030 eval-mlogloss:0.511198
[85] train-mlogloss:0.391441 eval-mlogloss:0.510812
[86] train-mlogloss:0.389909 eval-mlogloss:0.510045
[87] train-mlogloss:0.388482 eval-mlogloss:0.509564
[88] train-mlogloss:0.387038 eval-mlogloss:0.509521
[89] train-mlogloss:0.385949 eval-mlogloss:0.509230
[90] train-mlogloss:0.384333 eval-mlogloss:0.508334
[91] train-mlogloss:0.382955 eval-mlogloss:0.508195
[92] train-mlogloss:0.381715 eval-mlogloss:0.507970
[93] train-mlogloss:0.380304 eval-mlogloss:0.507648
[94] train-mlogloss:0.379053 eval-mlogloss:0.507576
[95] train-mlogloss:0.376945 eval-mlogloss:0.506525
[96] train-mlogloss:0.375687 eval-mlogloss:0.506605
[97] train-mlogloss:0.374269 eval-mlogloss:0.506185
[98] train-mlogloss:0.372798 eval-mlogloss:0.506012
[99] train-mlogloss:0.371276 eval-mlogloss:0.505917
[100] train-mlogloss:0.369655 eval-mlogloss:0.505701
[101] train-mlogloss:0.368373 eval-mlogloss:0.505598
[102] train-mlogloss:0.366902 eval-mlogloss:0.505563
[103] train-mlogloss:0.365641 eval-mlogloss:0.505453
[104] train-mlogloss:0.364326 eval-mlogloss:0.505517
[105] train-mlogloss:0.363093 eval-mlogloss:0.505822
[106] train-mlogloss:0.361766 eval-mlogloss:0.505320
[107] train-mlogloss:0.360310 eval-mlogloss:0.505134
[108] train-mlogloss:0.359172 eval-mlogloss:0.504978
[109] train-mlogloss:0.358329 eval-mlogloss:0.505384
[110] train-mlogloss:0.356929 eval-mlogloss:0.505374
[111] train-mlogloss:0.355176 eval-mlogloss:0.504823
[112] train-mlogloss:0.354204 eval-mlogloss:0.504806
[113] train-mlogloss:0.353024 eval-mlogloss:0.504214
[114] train-mlogloss:0.351650 eval-mlogloss:0.503751
[115] train-mlogloss:0.350287 eval-mlogloss:0.503938
[116] train-mlogloss:0.348963 eval-mlogloss:0.503854
[117] train-mlogloss:0.348015 eval-mlogloss:0.503650
[118] train-mlogloss:0.346648 eval-mlogloss:0.503401
[119] train-mlogloss:0.345720 eval-mlogloss:0.503041
[120] train-mlogloss:0.344654 eval-mlogloss:0.502931
[121] train-mlogloss:0.343692 eval-mlogloss:0.502722
[122] train-mlogloss:0.342450 eval-mlogloss:0.502483
[123] train-mlogloss:0.341027 eval-mlogloss:0.502092
[124] train-mlogloss:0.339486 eval-mlogloss:0.501774
[125] train-mlogloss:0.338142 eval-mlogloss:0.501449
[126] train-mlogloss:0.336720 eval-mlogloss:0.501060
[127] train-mlogloss:0.335547 eval-mlogloss:0.501039
[128] train-mlogloss:0.334213 eval-mlogloss:0.501174
[129] train-mlogloss:0.333178 eval-mlogloss:0.500866
[130] train-mlogloss:0.331899 eval-mlogloss:0.500685
[131] train-mlogloss:0.330713 eval-mlogloss:0.500839
[132] train-mlogloss:0.329673 eval-mlogloss:0.500911
[133] train-mlogloss:0.328679 eval-mlogloss:0.500351
[134] train-mlogloss:0.327632 eval-mlogloss:0.500833
[135] train-mlogloss:0.326662 eval-mlogloss:0.500886
[136] train-mlogloss:0.325667 eval-mlogloss:0.500906
[137] train-mlogloss:0.324483 eval-mlogloss:0.500745
[138] train-mlogloss:0.323334 eval-mlogloss:0.501307
[139] train-mlogloss:0.322270 eval-mlogloss:0.501599
[140] train-mlogloss:0.321170 eval-mlogloss:0.501951
[141] train-mlogloss:0.320152 eval-mlogloss:0.501390
[142] train-mlogloss:0.319068 eval-mlogloss:0.501489
[143] train-mlogloss:0.317825 eval-mlogloss:0.501906
Training with params :
{'eta': 0.45, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.55, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.501905845212553
Stopping. Best iteration:
[133] train-mlogloss:0.328679 eval-mlogloss:0.500351
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.145767 eval-mlogloss:2.146518
[1] train-mlogloss:2.095651 eval-mlogloss:2.096265
[2] train-mlogloss:2.048830 eval-mlogloss:2.049544
[3] train-mlogloss:2.007222 eval-mlogloss:2.008236
[4] train-mlogloss:1.969277 eval-mlogloss:1.969603
[5] train-mlogloss:1.934190 eval-mlogloss:1.935066
[6] train-mlogloss:1.906378 eval-mlogloss:1.907299
[7] train-mlogloss:1.875726 eval-mlogloss:1.876278
[8] train-mlogloss:1.847499 eval-mlogloss:1.847935
[9] train-mlogloss:1.820799 eval-mlogloss:1.820944
[10] train-mlogloss:1.795327 eval-mlogloss:1.795540
[11] train-mlogloss:1.771737 eval-mlogloss:1.771839
[12] train-mlogloss:1.749272 eval-mlogloss:1.749550
[13] train-mlogloss:1.727835 eval-mlogloss:1.728036
[14] train-mlogloss:1.707104 eval-mlogloss:1.707022
[15] train-mlogloss:1.687481 eval-mlogloss:1.687583
[16] train-mlogloss:1.668665 eval-mlogloss:1.668379
[17] train-mlogloss:1.652711 eval-mlogloss:1.652393
[18] train-mlogloss:1.635357 eval-mlogloss:1.634988
[19] train-mlogloss:1.618940 eval-mlogloss:1.618544
[20] train-mlogloss:1.602979 eval-mlogloss:1.602468
[21] train-mlogloss:1.587651 eval-mlogloss:1.587161
[22] train-mlogloss:1.573038 eval-mlogloss:1.572766
[23] train-mlogloss:1.558911 eval-mlogloss:1.558629
[24] train-mlogloss:1.545423 eval-mlogloss:1.545001
[25] train-mlogloss:1.532280 eval-mlogloss:1.531632
[26] train-mlogloss:1.519576 eval-mlogloss:1.518843
[27] train-mlogloss:1.507323 eval-mlogloss:1.506638
[28] train-mlogloss:1.495526 eval-mlogloss:1.494952
[29] train-mlogloss:1.484195 eval-mlogloss:1.483752
[30] train-mlogloss:1.473115 eval-mlogloss:1.472808
[31] train-mlogloss:1.462372 eval-mlogloss:1.462068
[32] train-mlogloss:1.451932 eval-mlogloss:1.451477
[33] train-mlogloss:1.442005 eval-mlogloss:1.441496
[34] train-mlogloss:1.432310 eval-mlogloss:1.431800
[35] train-mlogloss:1.422893 eval-mlogloss:1.422492
[36] train-mlogloss:1.414515 eval-mlogloss:1.414276
[37] train-mlogloss:1.405485 eval-mlogloss:1.405219
[38] train-mlogloss:1.396731 eval-mlogloss:1.396517
[39] train-mlogloss:1.388338 eval-mlogloss:1.387995
[40] train-mlogloss:1.380834 eval-mlogloss:1.380552
[41] train-mlogloss:1.372827 eval-mlogloss:1.372770
[42] train-mlogloss:1.365865 eval-mlogloss:1.365789
[43] train-mlogloss:1.358201 eval-mlogloss:1.358166
[44] train-mlogloss:1.351417 eval-mlogloss:1.351436
[45] train-mlogloss:1.344126 eval-mlogloss:1.344237
[46] train-mlogloss:1.337698 eval-mlogloss:1.337805
[47] train-mlogloss:1.330684 eval-mlogloss:1.330850
[48] train-mlogloss:1.323822 eval-mlogloss:1.324219
[49] train-mlogloss:1.317184 eval-mlogloss:1.317598
[50] train-mlogloss:1.310636 eval-mlogloss:1.310973
[51] train-mlogloss:1.304818 eval-mlogloss:1.305165
[52] train-mlogloss:1.298582 eval-mlogloss:1.298906
[53] train-mlogloss:1.292415 eval-mlogloss:1.292747
[54] train-mlogloss:1.286964 eval-mlogloss:1.287348
[55] train-mlogloss:1.281088 eval-mlogloss:1.281413
[56] train-mlogloss:1.275394 eval-mlogloss:1.275965
[57] train-mlogloss:1.269803 eval-mlogloss:1.270254
[58] train-mlogloss:1.264362 eval-mlogloss:1.264944
[59] train-mlogloss:1.259439 eval-mlogloss:1.260171
[60] train-mlogloss:1.254099 eval-mlogloss:1.254949
[61] train-mlogloss:1.248977 eval-mlogloss:1.249726
[62] train-mlogloss:1.243909 eval-mlogloss:1.244672
[63] train-mlogloss:1.238935 eval-mlogloss:1.239650
[64] train-mlogloss:1.234435 eval-mlogloss:1.235127
[65] train-mlogloss:1.229593 eval-mlogloss:1.230247
[66] train-mlogloss:1.225199 eval-mlogloss:1.225928
[67] train-mlogloss:1.220991 eval-mlogloss:1.221734
[68] train-mlogloss:1.216407 eval-mlogloss:1.217303
[69] train-mlogloss:1.211879 eval-mlogloss:1.212881
[70] train-mlogloss:1.207500 eval-mlogloss:1.208529
[71] train-mlogloss:1.203182 eval-mlogloss:1.204335
[72] train-mlogloss:1.199196 eval-mlogloss:1.200285
[73] train-mlogloss:1.194999 eval-mlogloss:1.196177
[74] train-mlogloss:1.191157 eval-mlogloss:1.192463
[75] train-mlogloss:1.187090 eval-mlogloss:1.188304
[76] train-mlogloss:1.183079 eval-mlogloss:1.184346
[77] train-mlogloss:1.179505 eval-mlogloss:1.180617
[78] train-mlogloss:1.175650 eval-mlogloss:1.177045
[79] train-mlogloss:1.172125 eval-mlogloss:1.173691
[80] train-mlogloss:1.168347 eval-mlogloss:1.170043
[81] train-mlogloss:1.164632 eval-mlogloss:1.166272
[82] train-mlogloss:1.160982 eval-mlogloss:1.162644
[83] train-mlogloss:1.157397 eval-mlogloss:1.159078
[84] train-mlogloss:1.153873 eval-mlogloss:1.155571
[85] train-mlogloss:1.150381 eval-mlogloss:1.152265
[86] train-mlogloss:1.147137 eval-mlogloss:1.149076
[87] train-mlogloss:1.143936 eval-mlogloss:1.145859
[88] train-mlogloss:1.140605 eval-mlogloss:1.142634
[89] train-mlogloss:1.137508 eval-mlogloss:1.139563
[90] train-mlogloss:1.134283 eval-mlogloss:1.136366
[91] train-mlogloss:1.131102 eval-mlogloss:1.133161
[92] train-mlogloss:1.128104 eval-mlogloss:1.130247
[93] train-mlogloss:1.125143 eval-mlogloss:1.127437
[94] train-mlogloss:1.122043 eval-mlogloss:1.124477
[95] train-mlogloss:1.119020 eval-mlogloss:1.121462
[96] train-mlogloss:1.116080 eval-mlogloss:1.118561
[97] train-mlogloss:1.113125 eval-mlogloss:1.115584
[98] train-mlogloss:1.110239 eval-mlogloss:1.112796
[99] train-mlogloss:1.107335 eval-mlogloss:1.109926
[100] train-mlogloss:1.104476 eval-mlogloss:1.107002
[101] train-mlogloss:1.101762 eval-mlogloss:1.104216
[102] train-mlogloss:1.099013 eval-mlogloss:1.101302
[103] train-mlogloss:1.096272 eval-mlogloss:1.098463
[104] train-mlogloss:1.093551 eval-mlogloss:1.095825
[105] train-mlogloss:1.090884 eval-mlogloss:1.093249
[106] train-mlogloss:1.088267 eval-mlogloss:1.090723
[107] train-mlogloss:1.085691 eval-mlogloss:1.088160
[108] train-mlogloss:1.083109 eval-mlogloss:1.085652
[109] train-mlogloss:1.080622 eval-mlogloss:1.083168
[110] train-mlogloss:1.078209 eval-mlogloss:1.080931
[111] train-mlogloss:1.075721 eval-mlogloss:1.078482
[112] train-mlogloss:1.073311 eval-mlogloss:1.076091
[113] train-mlogloss:1.070871 eval-mlogloss:1.073598
[114] train-mlogloss:1.068499 eval-mlogloss:1.071239
[115] train-mlogloss:1.066076 eval-mlogloss:1.068988
[116] train-mlogloss:1.063665 eval-mlogloss:1.066551
[117] train-mlogloss:1.061296 eval-mlogloss:1.064372
[118] train-mlogloss:1.058983 eval-mlogloss:1.062042
[119] train-mlogloss:1.056729 eval-mlogloss:1.059904
[120] train-mlogloss:1.054490 eval-mlogloss:1.057669
[121] train-mlogloss:1.052308 eval-mlogloss:1.055482
[122] train-mlogloss:1.050113 eval-mlogloss:1.053230
[123] train-mlogloss:1.047996 eval-mlogloss:1.051165
[124] train-mlogloss:1.045797 eval-mlogloss:1.049114
[125] train-mlogloss:1.043604 eval-mlogloss:1.046937
[126] train-mlogloss:1.041495 eval-mlogloss:1.044881
[127] train-mlogloss:1.039362 eval-mlogloss:1.042666
[128] train-mlogloss:1.037254 eval-mlogloss:1.040569
[129] train-mlogloss:1.035243 eval-mlogloss:1.038490
[130] train-mlogloss:1.033244 eval-mlogloss:1.036518
[131] train-mlogloss:1.031174 eval-mlogloss:1.034416
[132] train-mlogloss:1.029140 eval-mlogloss:1.032448
[133] train-mlogloss:1.027117 eval-mlogloss:1.030636
[134] train-mlogloss:1.025176 eval-mlogloss:1.028813
[135] train-mlogloss:1.023217 eval-mlogloss:1.026914
[136] train-mlogloss:1.021280 eval-mlogloss:1.024971
[137] train-mlogloss:1.019337 eval-mlogloss:1.023024
[138] train-mlogloss:1.017423 eval-mlogloss:1.021157
[139] train-mlogloss:1.015550 eval-mlogloss:1.019467
[140] train-mlogloss:1.013690 eval-mlogloss:1.017581
[141] train-mlogloss:1.011860 eval-mlogloss:1.015651
[142] train-mlogloss:1.010001 eval-mlogloss:1.013854
[143] train-mlogloss:1.008183 eval-mlogloss:1.012137
[144] train-mlogloss:1.006370 eval-mlogloss:1.010389
[145] train-mlogloss:1.004592 eval-mlogloss:1.008625
[146] train-mlogloss:1.002811 eval-mlogloss:1.006852
[147] train-mlogloss:1.001052 eval-mlogloss:1.005166
[148] train-mlogloss:0.999306 eval-mlogloss:1.003471
[149] train-mlogloss:0.997582 eval-mlogloss:1.001831
[150] train-mlogloss:0.995886 eval-mlogloss:1.000129
[151] train-mlogloss:0.994206 eval-mlogloss:0.998582
[152] train-mlogloss:0.992579 eval-mlogloss:0.996983
[153] train-mlogloss:0.990892 eval-mlogloss:0.995293
[154] train-mlogloss:0.989218 eval-mlogloss:0.993510
[155] train-mlogloss:0.987603 eval-mlogloss:0.991941
[156] train-mlogloss:0.985994 eval-mlogloss:0.990280
[157] train-mlogloss:0.984399 eval-mlogloss:0.988740
[158] train-mlogloss:0.982790 eval-mlogloss:0.987153
[159] train-mlogloss:0.981208 eval-mlogloss:0.985656
[160] train-mlogloss:0.979635 eval-mlogloss:0.984048
[161] train-mlogloss:0.978073 eval-mlogloss:0.982465
[162] train-mlogloss:0.976540 eval-mlogloss:0.980846
[163] train-mlogloss:0.975017 eval-mlogloss:0.979516
[164] train-mlogloss:0.973484 eval-mlogloss:0.978109
[165] train-mlogloss:0.971970 eval-mlogloss:0.976519
[166] train-mlogloss:0.970479 eval-mlogloss:0.975015
[167] train-mlogloss:0.968980 eval-mlogloss:0.973483
[168] train-mlogloss:0.967518 eval-mlogloss:0.971957
[169] train-mlogloss:0.966040 eval-mlogloss:0.970472
[170] train-mlogloss:0.964572 eval-mlogloss:0.968961
[171] train-mlogloss:0.963124 eval-mlogloss:0.967554
[172] train-mlogloss:0.961691 eval-mlogloss:0.966069
[173] train-mlogloss:0.960278 eval-mlogloss:0.964695
[174] train-mlogloss:0.958845 eval-mlogloss:0.963347
[175] train-mlogloss:0.957452 eval-mlogloss:0.962020
[176] train-mlogloss:0.956055 eval-mlogloss:0.960580
[177] train-mlogloss:0.954691 eval-mlogloss:0.959270
[178] train-mlogloss:0.953350 eval-mlogloss:0.957993
[179] train-mlogloss:0.951982 eval-mlogloss:0.956632
[180] train-mlogloss:0.950644 eval-mlogloss:0.955255
[181] train-mlogloss:0.949322 eval-mlogloss:0.953914
[182] train-mlogloss:0.948018 eval-mlogloss:0.952627
[183] train-mlogloss:0.946699 eval-mlogloss:0.951238
[184] train-mlogloss:0.945403 eval-mlogloss:0.950004
[185] train-mlogloss:0.944101 eval-mlogloss:0.948723
[186] train-mlogloss:0.942846 eval-mlogloss:0.947485
[187] train-mlogloss:0.941567 eval-mlogloss:0.946295
[188] train-mlogloss:0.940297 eval-mlogloss:0.944977
[189] train-mlogloss:0.939042 eval-mlogloss:0.943689
[190] train-mlogloss:0.937780 eval-mlogloss:0.942450
[191] train-mlogloss:0.936528 eval-mlogloss:0.941275
[192] train-mlogloss:0.935294 eval-mlogloss:0.940051
[193] train-mlogloss:0.934074 eval-mlogloss:0.938891
[194] train-mlogloss:0.932867 eval-mlogloss:0.937788
[195] train-mlogloss:0.931651 eval-mlogloss:0.936626
[196] train-mlogloss:0.930449 eval-mlogloss:0.935430
[197] train-mlogloss:0.929268 eval-mlogloss:0.934214
[198] train-mlogloss:0.928069 eval-mlogloss:0.933045
[199] train-mlogloss:0.926900 eval-mlogloss:0.931824
[200] train-mlogloss:0.925744 eval-mlogloss:0.930689
[201] train-mlogloss:0.924589 eval-mlogloss:0.929472
[202] train-mlogloss:0.923455 eval-mlogloss:0.928355
[203] train-mlogloss:0.922300 eval-mlogloss:0.927236
[204] train-mlogloss:0.921181 eval-mlogloss:0.926213
[205] train-mlogloss:0.920050 eval-mlogloss:0.925141
[206] train-mlogloss:0.918919 eval-mlogloss:0.924015
[207] train-mlogloss:0.917825 eval-mlogloss:0.922913
[208] train-mlogloss:0.916738 eval-mlogloss:0.921842
[209] train-mlogloss:0.915654 eval-mlogloss:0.920812
[210] train-mlogloss:0.914563 eval-mlogloss:0.919706
[211] train-mlogloss:0.913479 eval-mlogloss:0.918579
[212] train-mlogloss:0.912415 eval-mlogloss:0.917546
[213] train-mlogloss:0.911350 eval-mlogloss:0.916488
[214] train-mlogloss:0.910309 eval-mlogloss:0.915445
[215] train-mlogloss:0.909252 eval-mlogloss:0.914380
[216] train-mlogloss:0.908208 eval-mlogloss:0.913409
[217] train-mlogloss:0.907160 eval-mlogloss:0.912394
[218] train-mlogloss:0.906133 eval-mlogloss:0.911398
[219] train-mlogloss:0.905102 eval-mlogloss:0.910288
[220] train-mlogloss:0.904084 eval-mlogloss:0.909243
[221] train-mlogloss:0.903072 eval-mlogloss:0.908201
[222] train-mlogloss:0.902074 eval-mlogloss:0.907263
[223] train-mlogloss:0.901063 eval-mlogloss:0.906258
[224] train-mlogloss:0.900059 eval-mlogloss:0.905313
[225] train-mlogloss:0.899059 eval-mlogloss:0.904353
[226] train-mlogloss:0.898051 eval-mlogloss:0.903309
[227] train-mlogloss:0.897074 eval-mlogloss:0.902324
[228] train-mlogloss:0.896107 eval-mlogloss:0.901399
[229] train-mlogloss:0.895144 eval-mlogloss:0.900468
[230] train-mlogloss:0.894178 eval-mlogloss:0.899433
[231] train-mlogloss:0.893247 eval-mlogloss:0.898427
[232] train-mlogloss:0.892285 eval-mlogloss:0.897507
[233] train-mlogloss:0.891336 eval-mlogloss:0.896554
[234] train-mlogloss:0.890400 eval-mlogloss:0.895665
[235] train-mlogloss:0.889473 eval-mlogloss:0.894714
[236] train-mlogloss:0.888556 eval-mlogloss:0.893860
[237] train-mlogloss:0.887649 eval-mlogloss:0.892938
[238] train-mlogloss:0.886724 eval-mlogloss:0.892072
[239] train-mlogloss:0.885820 eval-mlogloss:0.891226
[240] train-mlogloss:0.884902 eval-mlogloss:0.890277
[241] train-mlogloss:0.883995 eval-mlogloss:0.889264
[242] train-mlogloss:0.883091 eval-mlogloss:0.888341
[243] train-mlogloss:0.882190 eval-mlogloss:0.887477
[244] train-mlogloss:0.881304 eval-mlogloss:0.886541
[245] train-mlogloss:0.880434 eval-mlogloss:0.885636
[246] train-mlogloss:0.879554 eval-mlogloss:0.884763
[247] train-mlogloss:0.878675 eval-mlogloss:0.883877
[248] train-mlogloss:0.877806 eval-mlogloss:0.882970
[249] train-mlogloss:0.876945 eval-mlogloss:0.882175
[250] train-mlogloss:0.876084 eval-mlogloss:0.881354
[251] train-mlogloss:0.875248 eval-mlogloss:0.880564
[252] train-mlogloss:0.874401 eval-mlogloss:0.879751
[253] train-mlogloss:0.873569 eval-mlogloss:0.878966
[254] train-mlogloss:0.872724 eval-mlogloss:0.878152
[255] train-mlogloss:0.871899 eval-mlogloss:0.877315
[256] train-mlogloss:0.871054 eval-mlogloss:0.876529
[257] train-mlogloss:0.870221 eval-mlogloss:0.875659
[258] train-mlogloss:0.869386 eval-mlogloss:0.874804
[259] train-mlogloss:0.868569 eval-mlogloss:0.873944
[260] train-mlogloss:0.867764 eval-mlogloss:0.873145
[261] train-mlogloss:0.866947 eval-mlogloss:0.872289
[262] train-mlogloss:0.866146 eval-mlogloss:0.871529
[263] train-mlogloss:0.865335 eval-mlogloss:0.870698
[264] train-mlogloss:0.864533 eval-mlogloss:0.869912
[265] train-mlogloss:0.863746 eval-mlogloss:0.869154
[266] train-mlogloss:0.862975 eval-mlogloss:0.868445
[267] train-mlogloss:0.862207 eval-mlogloss:0.867620
[268] train-mlogloss:0.861434 eval-mlogloss:0.866800
[269] train-mlogloss:0.860669 eval-mlogloss:0.866061
[270] train-mlogloss:0.859896 eval-mlogloss:0.865284
[271] train-mlogloss:0.859127 eval-mlogloss:0.864509
[272] train-mlogloss:0.858358 eval-mlogloss:0.863779
[273] train-mlogloss:0.857601 eval-mlogloss:0.862950
[274] train-mlogloss:0.856841 eval-mlogloss:0.862185
[275] train-mlogloss:0.856096 eval-mlogloss:0.861407
[276] train-mlogloss:0.855346 eval-mlogloss:0.860668
[277] train-mlogloss:0.854590 eval-mlogloss:0.859907
[278] train-mlogloss:0.853835 eval-mlogloss:0.859155
[279] train-mlogloss:0.853100 eval-mlogloss:0.858478
[280] train-mlogloss:0.852367 eval-mlogloss:0.857724
[281] train-mlogloss:0.851646 eval-mlogloss:0.856995
[282] train-mlogloss:0.850919 eval-mlogloss:0.856259
[283] train-mlogloss:0.850202 eval-mlogloss:0.855563
[284] train-mlogloss:0.849485 eval-mlogloss:0.854829
[285] train-mlogloss:0.848779 eval-mlogloss:0.854165
[286] train-mlogloss:0.848043 eval-mlogloss:0.853444
[287] train-mlogloss:0.847341 eval-mlogloss:0.852712
[288] train-mlogloss:0.846641 eval-mlogloss:0.852051
[289] train-mlogloss:0.845937 eval-mlogloss:0.851368
[290] train-mlogloss:0.845256 eval-mlogloss:0.850664
[291] train-mlogloss:0.844567 eval-mlogloss:0.849997
[292] train-mlogloss:0.843868 eval-mlogloss:0.849300
[293] train-mlogloss:0.843189 eval-mlogloss:0.848681
[294] train-mlogloss:0.842486 eval-mlogloss:0.847991
[295] train-mlogloss:0.841809 eval-mlogloss:0.847322
[296] train-mlogloss:0.841137 eval-mlogloss:0.846635
[297] train-mlogloss:0.840448 eval-mlogloss:0.845900
[298] train-mlogloss:0.839769 eval-mlogloss:0.845230
[299] train-mlogloss:0.839096 eval-mlogloss:0.844599
[300] train-mlogloss:0.838439 eval-mlogloss:0.843897
[301] train-mlogloss:0.837779 eval-mlogloss:0.843260
[302] train-mlogloss:0.837119 eval-mlogloss:0.842603
[303] train-mlogloss:0.836465 eval-mlogloss:0.841929
[304] train-mlogloss:0.835822 eval-mlogloss:0.841277
[305] train-mlogloss:0.835159 eval-mlogloss:0.840602
[306] train-mlogloss:0.834509 eval-mlogloss:0.839962
[307] train-mlogloss:0.833857 eval-mlogloss:0.839297
[308] train-mlogloss:0.833209 eval-mlogloss:0.838656
[309] train-mlogloss:0.832574 eval-mlogloss:0.838007
[310] train-mlogloss:0.831935 eval-mlogloss:0.837383
[311] train-mlogloss:0.831298 eval-mlogloss:0.836755
[312] train-mlogloss:0.830668 eval-mlogloss:0.836144
[313] train-mlogloss:0.830060 eval-mlogloss:0.835534
[314] train-mlogloss:0.829454 eval-mlogloss:0.834942
[315] train-mlogloss:0.828826 eval-mlogloss:0.834353
[316] train-mlogloss:0.828208 eval-mlogloss:0.833725
[317] train-mlogloss:0.827585 eval-mlogloss:0.833094
[318] train-mlogloss:0.826974 eval-mlogloss:0.832523
[319] train-mlogloss:0.826353 eval-mlogloss:0.831918
[320] train-mlogloss:0.825761 eval-mlogloss:0.831271
[321] train-mlogloss:0.825147 eval-mlogloss:0.830723
[322] train-mlogloss:0.824527 eval-mlogloss:0.830126
[323] train-mlogloss:0.823929 eval-mlogloss:0.829481
[324] train-mlogloss:0.823342 eval-mlogloss:0.828873
[325] train-mlogloss:0.822746 eval-mlogloss:0.828220
[326] train-mlogloss:0.822164 eval-mlogloss:0.827642
[327] train-mlogloss:0.821584 eval-mlogloss:0.827052
[328] train-mlogloss:0.820984 eval-mlogloss:0.826453
[329] train-mlogloss:0.820402 eval-mlogloss:0.825888
[330] train-mlogloss:0.819834 eval-mlogloss:0.825305
[331] train-mlogloss:0.819254 eval-mlogloss:0.824744
[332] train-mlogloss:0.818675 eval-mlogloss:0.824162
[333] train-mlogloss:0.818095 eval-mlogloss:0.823558
[334] train-mlogloss:0.817534 eval-mlogloss:0.822949
[335] train-mlogloss:0.816974 eval-mlogloss:0.822350
[336] train-mlogloss:0.816415 eval-mlogloss:0.821792
[337] train-mlogloss:0.815859 eval-mlogloss:0.821218
[338] train-mlogloss:0.815307 eval-mlogloss:0.820674
[339] train-mlogloss:0.814759 eval-mlogloss:0.820197
[340] train-mlogloss:0.814199 eval-mlogloss:0.819608
[341] train-mlogloss:0.813654 eval-mlogloss:0.819066
[342] train-mlogloss:0.813091 eval-mlogloss:0.818527
[343] train-mlogloss:0.812536 eval-mlogloss:0.817989
[344] train-mlogloss:0.812001 eval-mlogloss:0.817443
[345] train-mlogloss:0.811462 eval-mlogloss:0.816908
[346] train-mlogloss:0.810918 eval-mlogloss:0.816320
[347] train-mlogloss:0.810383 eval-mlogloss:0.815805
[348] train-mlogloss:0.809841 eval-mlogloss:0.815259
[349] train-mlogloss:0.809305 eval-mlogloss:0.814724
[350] train-mlogloss:0.808773 eval-mlogloss:0.814201
[351] train-mlogloss:0.808239 eval-mlogloss:0.813635
[352] train-mlogloss:0.807702 eval-mlogloss:0.813147
[353] train-mlogloss:0.807178 eval-mlogloss:0.812622
[354] train-mlogloss:0.806656 eval-mlogloss:0.812110
[355] train-mlogloss:0.806134 eval-mlogloss:0.811549
[356] train-mlogloss:0.805620 eval-mlogloss:0.811052
[357] train-mlogloss:0.805108 eval-mlogloss:0.810511
[358] train-mlogloss:0.804581 eval-mlogloss:0.809996
[359] train-mlogloss:0.804069 eval-mlogloss:0.809482
[360] train-mlogloss:0.803554 eval-mlogloss:0.809002
[361] train-mlogloss:0.803045 eval-mlogloss:0.808512
[362] train-mlogloss:0.802539 eval-mlogloss:0.808018
[363] train-mlogloss:0.802033 eval-mlogloss:0.807590
[364] train-mlogloss:0.801527 eval-mlogloss:0.807026
[365] train-mlogloss:0.801027 eval-mlogloss:0.806460
[366] train-mlogloss:0.800515 eval-mlogloss:0.805995
[367] train-mlogloss:0.800004 eval-mlogloss:0.805463
[368] train-mlogloss:0.799502 eval-mlogloss:0.804914
[369] train-mlogloss:0.799005 eval-mlogloss:0.804400
[370] train-mlogloss:0.798512 eval-mlogloss:0.803996
[371] train-mlogloss:0.798021 eval-mlogloss:0.803553
[372] train-mlogloss:0.797534 eval-mlogloss:0.803101
[373] train-mlogloss:0.797051 eval-mlogloss:0.802571
[374] train-mlogloss:0.796559 eval-mlogloss:0.802094
[375] train-mlogloss:0.796066 eval-mlogloss:0.801565
[376] train-mlogloss:0.795580 eval-mlogloss:0.801088
[377] train-mlogloss:0.795102 eval-mlogloss:0.800600
[378] train-mlogloss:0.794630 eval-mlogloss:0.800105
[379] train-mlogloss:0.794149 eval-mlogloss:0.799657
[380] train-mlogloss:0.793669 eval-mlogloss:0.799193
[381] train-mlogloss:0.793195 eval-mlogloss:0.798736
[382] train-mlogloss:0.792721 eval-mlogloss:0.798250
[383] train-mlogloss:0.792254 eval-mlogloss:0.797822
[384] train-mlogloss:0.791789 eval-mlogloss:0.797371
[385] train-mlogloss:0.791317 eval-mlogloss:0.796949
[386] train-mlogloss:0.790857 eval-mlogloss:0.796457
[387] train-mlogloss:0.790409 eval-mlogloss:0.795994
[388] train-mlogloss:0.789941 eval-mlogloss:0.795556
[389] train-mlogloss:0.789478 eval-mlogloss:0.795083
[390] train-mlogloss:0.789023 eval-mlogloss:0.794668
[391] train-mlogloss:0.788563 eval-mlogloss:0.794215
[392] train-mlogloss:0.788119 eval-mlogloss:0.793773
[393] train-mlogloss:0.787662 eval-mlogloss:0.793292
[394] train-mlogloss:0.787209 eval-mlogloss:0.792798
[395] train-mlogloss:0.786774 eval-mlogloss:0.792362
[396] train-mlogloss:0.786335 eval-mlogloss:0.791969
[397] train-mlogloss:0.785894 eval-mlogloss:0.791510
[398] train-mlogloss:0.785449 eval-mlogloss:0.791052
[399] train-mlogloss:0.784997 eval-mlogloss:0.790648
[400] train-mlogloss:0.784551 eval-mlogloss:0.790126
[401] train-mlogloss:0.784115 eval-mlogloss:0.789724
[402] train-mlogloss:0.783681 eval-mlogloss:0.789332
[403] train-mlogloss:0.783242 eval-mlogloss:0.788831
[404] train-mlogloss:0.782809 eval-mlogloss:0.788408
[405] train-mlogloss:0.782382 eval-mlogloss:0.788012
[406] train-mlogloss:0.781952 eval-mlogloss:0.787566
[407] train-mlogloss:0.781519 eval-mlogloss:0.787122
[408] train-mlogloss:0.781088 eval-mlogloss:0.786668
[409] train-mlogloss:0.780659 eval-mlogloss:0.786246
[410] train-mlogloss:0.780227 eval-mlogloss:0.785780
[411] train-mlogloss:0.779812 eval-mlogloss:0.785346
[412] train-mlogloss:0.779387 eval-mlogloss:0.784900
[413] train-mlogloss:0.778965 eval-mlogloss:0.784477
[414] train-mlogloss:0.778540 eval-mlogloss:0.784022
[415] train-mlogloss:0.778121 eval-mlogloss:0.783645
[416] train-mlogloss:0.777704 eval-mlogloss:0.783230
[417] train-mlogloss:0.777282 eval-mlogloss:0.782810
[418] train-mlogloss:0.776876 eval-mlogloss:0.782390
[419] train-mlogloss:0.776467 eval-mlogloss:0.781939
[420] train-mlogloss:0.776061 eval-mlogloss:0.781482
[421] train-mlogloss:0.775649 eval-mlogloss:0.781054
[422] train-mlogloss:0.775244 eval-mlogloss:0.780639
[423] train-mlogloss:0.774849 eval-mlogloss:0.780273
[424] train-mlogloss:0.774441 eval-mlogloss:0.779842
[425] train-mlogloss:0.774038 eval-mlogloss:0.779513
[426] train-mlogloss:0.773641 eval-mlogloss:0.779117
[427] train-mlogloss:0.773243 eval-mlogloss:0.778740
[428] train-mlogloss:0.772844 eval-mlogloss:0.778284
[429] train-mlogloss:0.772446 eval-mlogloss:0.777896
[430] train-mlogloss:0.772055 eval-mlogloss:0.777526
[431] train-mlogloss:0.771656 eval-mlogloss:0.777122
[432] train-mlogloss:0.771268 eval-mlogloss:0.776743
[433] train-mlogloss:0.770872 eval-mlogloss:0.776366
[434] train-mlogloss:0.770487 eval-mlogloss:0.775947
[435] train-mlogloss:0.770099 eval-mlogloss:0.775600
[436] train-mlogloss:0.769714 eval-mlogloss:0.775252
[437] train-mlogloss:0.769316 eval-mlogloss:0.774849
[438] train-mlogloss:0.768926 eval-mlogloss:0.774475
[439] train-mlogloss:0.768542 eval-mlogloss:0.774061
[440] train-mlogloss:0.768155 eval-mlogloss:0.773665
[441] train-mlogloss:0.767757 eval-mlogloss:0.773242
[442] train-mlogloss:0.767379 eval-mlogloss:0.772926
[443] train-mlogloss:0.767003 eval-mlogloss:0.772557
[444] train-mlogloss:0.766626 eval-mlogloss:0.772171
[445] train-mlogloss:0.766242 eval-mlogloss:0.771831
[446] train-mlogloss:0.765863 eval-mlogloss:0.771463
[447] train-mlogloss:0.765482 eval-mlogloss:0.771068
[448] train-mlogloss:0.765099 eval-mlogloss:0.770754
[449] train-mlogloss:0.764720 eval-mlogloss:0.770353
[450] train-mlogloss:0.764354 eval-mlogloss:0.770018
[451] train-mlogloss:0.763984 eval-mlogloss:0.769609
[452] train-mlogloss:0.763625 eval-mlogloss:0.769249
[453] train-mlogloss:0.763261 eval-mlogloss:0.768885
[454] train-mlogloss:0.762896 eval-mlogloss:0.768517
[455] train-mlogloss:0.762528 eval-mlogloss:0.768160
[456] train-mlogloss:0.762167 eval-mlogloss:0.767815
[457] train-mlogloss:0.761802 eval-mlogloss:0.767480
[458] train-mlogloss:0.761447 eval-mlogloss:0.767127
[459] train-mlogloss:0.761083 eval-mlogloss:0.766780
[460] train-mlogloss:0.760725 eval-mlogloss:0.766436
[461] train-mlogloss:0.760370 eval-mlogloss:0.766105
[462] train-mlogloss:0.760006 eval-mlogloss:0.765756
[463] train-mlogloss:0.759648 eval-mlogloss:0.765373
[464] train-mlogloss:0.759294 eval-mlogloss:0.764992
[465] train-mlogloss:0.758940 eval-mlogloss:0.764660
[466] train-mlogloss:0.758594 eval-mlogloss:0.764295
[467] train-mlogloss:0.758249 eval-mlogloss:0.763992
[468] train-mlogloss:0.757905 eval-mlogloss:0.763618
[469] train-mlogloss:0.757555 eval-mlogloss:0.763265
[470] train-mlogloss:0.757209 eval-mlogloss:0.762925
[471] train-mlogloss:0.756862 eval-mlogloss:0.762603
[472] train-mlogloss:0.756515 eval-mlogloss:0.762252
[473] train-mlogloss:0.756167 eval-mlogloss:0.761896
[474] train-mlogloss:0.755829 eval-mlogloss:0.761557
[475] train-mlogloss:0.755479 eval-mlogloss:0.761207
[476] train-mlogloss:0.755136 eval-mlogloss:0.760890
[477] train-mlogloss:0.754805 eval-mlogloss:0.760578
[478] train-mlogloss:0.754465 eval-mlogloss:0.760221
[479] train-mlogloss:0.754129 eval-mlogloss:0.759925
[480] train-mlogloss:0.753799 eval-mlogloss:0.759586
[481] train-mlogloss:0.753463 eval-mlogloss:0.759294
[482] train-mlogloss:0.753127 eval-mlogloss:0.758950
[483] train-mlogloss:0.752787 eval-mlogloss:0.758577
[484] train-mlogloss:0.752455 eval-mlogloss:0.758260
[485] train-mlogloss:0.752118 eval-mlogloss:0.757935
[486] train-mlogloss:0.751781 eval-mlogloss:0.757637
[487] train-mlogloss:0.751454 eval-mlogloss:0.757323
[488] train-mlogloss:0.751126 eval-mlogloss:0.756952
[489] train-mlogloss:0.750796 eval-mlogloss:0.756621
[490] train-mlogloss:0.750467 eval-mlogloss:0.756295
[491] train-mlogloss:0.750135 eval-mlogloss:0.755963
[492] train-mlogloss:0.749810 eval-mlogloss:0.755588
[493] train-mlogloss:0.749493 eval-mlogloss:0.755277
[494] train-mlogloss:0.749168 eval-mlogloss:0.754957
[495] train-mlogloss:0.748842 eval-mlogloss:0.754634
[496] train-mlogloss:0.748523 eval-mlogloss:0.754336
[497] train-mlogloss:0.748205 eval-mlogloss:0.754022
[498] train-mlogloss:0.747889 eval-mlogloss:0.753689
[499] train-mlogloss:0.747561 eval-mlogloss:0.753380
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.75, 'max_depth': 1.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9}
Score 0.7533802764916788
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.710327 eval-mlogloss:1.718932
[1] train-mlogloss:1.456028 eval-mlogloss:1.473032
[2] train-mlogloss:1.271580 eval-mlogloss:1.295568
[3] train-mlogloss:1.136278 eval-mlogloss:1.166581
[4] train-mlogloss:1.035087 eval-mlogloss:1.070641
[5] train-mlogloss:0.950535 eval-mlogloss:0.991306
[6] train-mlogloss:0.880979 eval-mlogloss:0.927299
[7] train-mlogloss:0.822509 eval-mlogloss:0.872991
[8] train-mlogloss:0.775241 eval-mlogloss:0.829384
[9] train-mlogloss:0.734389 eval-mlogloss:0.791928
[10] train-mlogloss:0.698200 eval-mlogloss:0.759822
[11] train-mlogloss:0.665443 eval-mlogloss:0.730605
[12] train-mlogloss:0.636259 eval-mlogloss:0.704871
[13] train-mlogloss:0.613769 eval-mlogloss:0.685551
[14] train-mlogloss:0.591358 eval-mlogloss:0.666820
[15] train-mlogloss:0.572738 eval-mlogloss:0.651197
[16] train-mlogloss:0.555454 eval-mlogloss:0.637300
[17] train-mlogloss:0.540830 eval-mlogloss:0.625450
[18] train-mlogloss:0.526754 eval-mlogloss:0.614760
[19] train-mlogloss:0.514262 eval-mlogloss:0.604891
[20] train-mlogloss:0.503490 eval-mlogloss:0.596693
[21] train-mlogloss:0.493748 eval-mlogloss:0.589333
[22] train-mlogloss:0.484088 eval-mlogloss:0.581490
[23] train-mlogloss:0.476101 eval-mlogloss:0.574517
[24] train-mlogloss:0.466911 eval-mlogloss:0.568343
[25] train-mlogloss:0.460206 eval-mlogloss:0.563510
[26] train-mlogloss:0.453308 eval-mlogloss:0.558583
[27] train-mlogloss:0.446253 eval-mlogloss:0.554361
[28] train-mlogloss:0.440443 eval-mlogloss:0.550397
[29] train-mlogloss:0.434714 eval-mlogloss:0.546631
[30] train-mlogloss:0.429125 eval-mlogloss:0.543378
[31] train-mlogloss:0.423684 eval-mlogloss:0.539733
[32] train-mlogloss:0.419043 eval-mlogloss:0.536965
[33] train-mlogloss:0.414277 eval-mlogloss:0.534076
[34] train-mlogloss:0.409031 eval-mlogloss:0.531133
[35] train-mlogloss:0.404478 eval-mlogloss:0.528364
[36] train-mlogloss:0.400448 eval-mlogloss:0.525816
[37] train-mlogloss:0.396903 eval-mlogloss:0.523645
[38] train-mlogloss:0.393254 eval-mlogloss:0.521521
[39] train-mlogloss:0.389445 eval-mlogloss:0.519427
[40] train-mlogloss:0.385703 eval-mlogloss:0.517405
[41] train-mlogloss:0.382774 eval-mlogloss:0.515911
[42] train-mlogloss:0.379976 eval-mlogloss:0.514313
[43] train-mlogloss:0.376546 eval-mlogloss:0.513059
[44] train-mlogloss:0.373694 eval-mlogloss:0.511613
[45] train-mlogloss:0.370596 eval-mlogloss:0.510219
[46] train-mlogloss:0.368284 eval-mlogloss:0.508998
[47] train-mlogloss:0.365988 eval-mlogloss:0.507665
[48] train-mlogloss:0.362074 eval-mlogloss:0.506138
[49] train-mlogloss:0.358780 eval-mlogloss:0.504816
[50] train-mlogloss:0.356338 eval-mlogloss:0.503841
[51] train-mlogloss:0.353414 eval-mlogloss:0.502389
[52] train-mlogloss:0.350273 eval-mlogloss:0.501377
[53] train-mlogloss:0.347785 eval-mlogloss:0.500686
[54] train-mlogloss:0.344648 eval-mlogloss:0.499308
[55] train-mlogloss:0.342167 eval-mlogloss:0.498172
[56] train-mlogloss:0.339822 eval-mlogloss:0.497248
[57] train-mlogloss:0.337618 eval-mlogloss:0.496469
[58] train-mlogloss:0.335519 eval-mlogloss:0.495641
[59] train-mlogloss:0.333317 eval-mlogloss:0.494539
[60] train-mlogloss:0.330545 eval-mlogloss:0.493852
[61] train-mlogloss:0.328117 eval-mlogloss:0.493154
[62] train-mlogloss:0.326563 eval-mlogloss:0.492225
[63] train-mlogloss:0.324210 eval-mlogloss:0.491472
[64] train-mlogloss:0.321582 eval-mlogloss:0.490445
[65] train-mlogloss:0.319255 eval-mlogloss:0.489875
[66] train-mlogloss:0.317156 eval-mlogloss:0.489370
[67] train-mlogloss:0.314916 eval-mlogloss:0.488652
[68] train-mlogloss:0.313104 eval-mlogloss:0.487740
[69] train-mlogloss:0.310600 eval-mlogloss:0.486669
[70] train-mlogloss:0.309129 eval-mlogloss:0.486121
[71] train-mlogloss:0.307585 eval-mlogloss:0.485821
[72] train-mlogloss:0.305961 eval-mlogloss:0.484983
[73] train-mlogloss:0.303533 eval-mlogloss:0.484408
[74] train-mlogloss:0.301437 eval-mlogloss:0.483935
[75] train-mlogloss:0.299470 eval-mlogloss:0.483491
[76] train-mlogloss:0.297665 eval-mlogloss:0.482964
[77] train-mlogloss:0.296122 eval-mlogloss:0.482607
[78] train-mlogloss:0.294093 eval-mlogloss:0.481920
[79] train-mlogloss:0.291975 eval-mlogloss:0.481418
[80] train-mlogloss:0.289722 eval-mlogloss:0.480981
[81] train-mlogloss:0.288674 eval-mlogloss:0.480503
[82] train-mlogloss:0.287249 eval-mlogloss:0.479971
[83] train-mlogloss:0.285220 eval-mlogloss:0.479626
[84] train-mlogloss:0.283631 eval-mlogloss:0.479355
[85] train-mlogloss:0.282071 eval-mlogloss:0.478831
[86] train-mlogloss:0.280762 eval-mlogloss:0.478610
[87] train-mlogloss:0.279142 eval-mlogloss:0.478214
[88] train-mlogloss:0.277237 eval-mlogloss:0.477863
[89] train-mlogloss:0.275870 eval-mlogloss:0.477619
[90] train-mlogloss:0.274836 eval-mlogloss:0.477351
[91] train-mlogloss:0.273283 eval-mlogloss:0.477111
[92] train-mlogloss:0.271816 eval-mlogloss:0.476719
[93] train-mlogloss:0.270126 eval-mlogloss:0.476590
[94] train-mlogloss:0.268976 eval-mlogloss:0.476282
[95] train-mlogloss:0.267945 eval-mlogloss:0.475932
[96] train-mlogloss:0.266818 eval-mlogloss:0.475678
[97] train-mlogloss:0.265069 eval-mlogloss:0.475434
[98] train-mlogloss:0.263611 eval-mlogloss:0.475273
[99] train-mlogloss:0.261641 eval-mlogloss:0.474968
[100] train-mlogloss:0.260551 eval-mlogloss:0.474734
[101] train-mlogloss:0.259077 eval-mlogloss:0.474231
[102] train-mlogloss:0.257410 eval-mlogloss:0.474115
[103] train-mlogloss:0.256370 eval-mlogloss:0.473900
[104] train-mlogloss:0.255251 eval-mlogloss:0.473729
[105] train-mlogloss:0.254230 eval-mlogloss:0.473571
[106] train-mlogloss:0.253197 eval-mlogloss:0.473373
[107] train-mlogloss:0.252157 eval-mlogloss:0.472984
[108] train-mlogloss:0.250690 eval-mlogloss:0.472522
[109] train-mlogloss:0.249535 eval-mlogloss:0.472270
[110] train-mlogloss:0.248226 eval-mlogloss:0.472079
[111] train-mlogloss:0.247064 eval-mlogloss:0.471830
[112] train-mlogloss:0.246563 eval-mlogloss:0.471708
[113] train-mlogloss:0.245247 eval-mlogloss:0.471369
[114] train-mlogloss:0.244005 eval-mlogloss:0.471159
[115] train-mlogloss:0.242744 eval-mlogloss:0.470803
[116] train-mlogloss:0.241711 eval-mlogloss:0.470723
[117] train-mlogloss:0.240417 eval-mlogloss:0.470730
[118] train-mlogloss:0.239479 eval-mlogloss:0.470468
[119] train-mlogloss:0.238251 eval-mlogloss:0.470257
[120] train-mlogloss:0.237092 eval-mlogloss:0.470074
[121] train-mlogloss:0.235777 eval-mlogloss:0.469805
[122] train-mlogloss:0.234436 eval-mlogloss:0.469903
[123] train-mlogloss:0.233632 eval-mlogloss:0.469752
[124] train-mlogloss:0.232714 eval-mlogloss:0.469399
[125] train-mlogloss:0.231746 eval-mlogloss:0.469160
[126] train-mlogloss:0.230376 eval-mlogloss:0.469080
[127] train-mlogloss:0.229172 eval-mlogloss:0.468709
[128] train-mlogloss:0.227960 eval-mlogloss:0.468513
[129] train-mlogloss:0.226662 eval-mlogloss:0.468518
[130] train-mlogloss:0.225509 eval-mlogloss:0.468500
[131] train-mlogloss:0.224407 eval-mlogloss:0.468563
[132] train-mlogloss:0.223687 eval-mlogloss:0.468766
[133] train-mlogloss:0.223285 eval-mlogloss:0.468682
[134] train-mlogloss:0.222144 eval-mlogloss:0.468428
[135] train-mlogloss:0.221109 eval-mlogloss:0.468267
[136] train-mlogloss:0.220411 eval-mlogloss:0.467944
[137] train-mlogloss:0.219508 eval-mlogloss:0.467852
[138] train-mlogloss:0.218565 eval-mlogloss:0.467959
[139] train-mlogloss:0.217392 eval-mlogloss:0.467895
[140] train-mlogloss:0.216529 eval-mlogloss:0.467644
[141] train-mlogloss:0.215655 eval-mlogloss:0.467690
[142] train-mlogloss:0.214515 eval-mlogloss:0.467686
[143] train-mlogloss:0.213703 eval-mlogloss:0.467896
[144] train-mlogloss:0.213110 eval-mlogloss:0.467768
[145] train-mlogloss:0.212216 eval-mlogloss:0.467943
[146] train-mlogloss:0.211425 eval-mlogloss:0.467828
[147] train-mlogloss:0.210179 eval-mlogloss:0.467796
[148] train-mlogloss:0.209277 eval-mlogloss:0.467710
[149] train-mlogloss:0.208104 eval-mlogloss:0.467474
[150] train-mlogloss:0.207235 eval-mlogloss:0.467326
[151] train-mlogloss:0.206594 eval-mlogloss:0.467302
[152] train-mlogloss:0.205323 eval-mlogloss:0.467196
[153] train-mlogloss:0.204665 eval-mlogloss:0.467094
[154] train-mlogloss:0.203886 eval-mlogloss:0.466890
[155] train-mlogloss:0.202987 eval-mlogloss:0.466993
[156] train-mlogloss:0.202332 eval-mlogloss:0.466755
[157] train-mlogloss:0.201595 eval-mlogloss:0.466703
[158] train-mlogloss:0.200475 eval-mlogloss:0.466274
[159] train-mlogloss:0.199600 eval-mlogloss:0.466125
[160] train-mlogloss:0.198573 eval-mlogloss:0.465951
[161] train-mlogloss:0.197722 eval-mlogloss:0.465662
[162] train-mlogloss:0.197007 eval-mlogloss:0.465582
[163] train-mlogloss:0.196334 eval-mlogloss:0.465763
[164] train-mlogloss:0.195569 eval-mlogloss:0.465452
[165] train-mlogloss:0.194692 eval-mlogloss:0.465330
[166] train-mlogloss:0.193977 eval-mlogloss:0.465076
[167] train-mlogloss:0.193218 eval-mlogloss:0.465163
[168] train-mlogloss:0.192455 eval-mlogloss:0.465193
[169] train-mlogloss:0.191608 eval-mlogloss:0.465228
[170] train-mlogloss:0.190807 eval-mlogloss:0.465012
[171] train-mlogloss:0.190001 eval-mlogloss:0.465119
[172] train-mlogloss:0.189078 eval-mlogloss:0.465032
[173] train-mlogloss:0.188507 eval-mlogloss:0.464885
[174] train-mlogloss:0.187856 eval-mlogloss:0.464811
[175] train-mlogloss:0.187261 eval-mlogloss:0.464746
[176] train-mlogloss:0.186533 eval-mlogloss:0.464949
[177] train-mlogloss:0.186118 eval-mlogloss:0.464798
[178] train-mlogloss:0.185620 eval-mlogloss:0.464490
[179] train-mlogloss:0.184893 eval-mlogloss:0.464522
[180] train-mlogloss:0.184324 eval-mlogloss:0.464497
[181] train-mlogloss:0.183742 eval-mlogloss:0.464488
[182] train-mlogloss:0.183151 eval-mlogloss:0.464525
[183] train-mlogloss:0.182393 eval-mlogloss:0.464434
[184] train-mlogloss:0.181538 eval-mlogloss:0.464587
[185] train-mlogloss:0.180888 eval-mlogloss:0.464679
[186] train-mlogloss:0.180391 eval-mlogloss:0.464685
[187] train-mlogloss:0.179562 eval-mlogloss:0.464851
[188] train-mlogloss:0.178784 eval-mlogloss:0.464973
[189] train-mlogloss:0.178317 eval-mlogloss:0.465095
[190] train-mlogloss:0.177521 eval-mlogloss:0.465189
[191] train-mlogloss:0.177052 eval-mlogloss:0.465220
[192] train-mlogloss:0.176324 eval-mlogloss:0.465396
Training with params :
{'eta': 0.225, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 8.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.4654805453784421
[193] train-mlogloss:0.175734 eval-mlogloss:0.465480
Stopping. Best iteration:
[183] train-mlogloss:0.182393 eval-mlogloss:0.464434
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.987000 eval-mlogloss:1.987443
[1] train-mlogloss:1.833617 eval-mlogloss:1.834482
[2] train-mlogloss:1.714735 eval-mlogloss:1.716400
[3] train-mlogloss:1.614033 eval-mlogloss:1.616715
[4] train-mlogloss:1.530236 eval-mlogloss:1.533416
[5] train-mlogloss:1.455692 eval-mlogloss:1.459571
[6] train-mlogloss:1.394771 eval-mlogloss:1.398921
[7] train-mlogloss:1.335738 eval-mlogloss:1.340806
[8] train-mlogloss:1.284405 eval-mlogloss:1.290069
[9] train-mlogloss:1.239306 eval-mlogloss:1.245489
[10] train-mlogloss:1.197260 eval-mlogloss:1.203806
[11] train-mlogloss:1.158920 eval-mlogloss:1.165767
[12] train-mlogloss:1.124161 eval-mlogloss:1.131562
[13] train-mlogloss:1.092399 eval-mlogloss:1.100057
[14] train-mlogloss:1.062963 eval-mlogloss:1.070824
[15] train-mlogloss:1.035192 eval-mlogloss:1.043506
[16] train-mlogloss:1.011567 eval-mlogloss:1.020232
[17] train-mlogloss:0.988709 eval-mlogloss:0.997686
[18] train-mlogloss:0.966928 eval-mlogloss:0.976365
[19] train-mlogloss:0.946435 eval-mlogloss:0.956437
[20] train-mlogloss:0.928819 eval-mlogloss:0.938918
[21] train-mlogloss:0.910987 eval-mlogloss:0.921575
[22] train-mlogloss:0.894659 eval-mlogloss:0.905605
[23] train-mlogloss:0.879183 eval-mlogloss:0.890523
[24] train-mlogloss:0.864481 eval-mlogloss:0.876002
[25] train-mlogloss:0.851003 eval-mlogloss:0.862825
[26] train-mlogloss:0.838755 eval-mlogloss:0.850815
[27] train-mlogloss:0.827062 eval-mlogloss:0.839487
[28] train-mlogloss:0.816429 eval-mlogloss:0.828965
[29] train-mlogloss:0.805883 eval-mlogloss:0.818715
[30] train-mlogloss:0.795641 eval-mlogloss:0.808978
[31] train-mlogloss:0.786194 eval-mlogloss:0.799635
[32] train-mlogloss:0.777336 eval-mlogloss:0.791041
[33] train-mlogloss:0.768945 eval-mlogloss:0.782923
[34] train-mlogloss:0.760884 eval-mlogloss:0.775231
[35] train-mlogloss:0.752885 eval-mlogloss:0.767524
[36] train-mlogloss:0.745617 eval-mlogloss:0.760584
[37] train-mlogloss:0.738569 eval-mlogloss:0.753684
[38] train-mlogloss:0.731717 eval-mlogloss:0.747371
[39] train-mlogloss:0.725089 eval-mlogloss:0.741109
[40] train-mlogloss:0.719250 eval-mlogloss:0.735700
[41] train-mlogloss:0.712931 eval-mlogloss:0.729665
[42] train-mlogloss:0.707068 eval-mlogloss:0.724311
[43] train-mlogloss:0.701630 eval-mlogloss:0.719010
[44] train-mlogloss:0.696226 eval-mlogloss:0.714038
[45] train-mlogloss:0.691175 eval-mlogloss:0.709386
[46] train-mlogloss:0.686767 eval-mlogloss:0.705298
[47] train-mlogloss:0.682132 eval-mlogloss:0.701132
[48] train-mlogloss:0.677646 eval-mlogloss:0.697020
[49] train-mlogloss:0.673444 eval-mlogloss:0.693125
[50] train-mlogloss:0.669025 eval-mlogloss:0.689007
[51] train-mlogloss:0.664764 eval-mlogloss:0.685024
[52] train-mlogloss:0.660784 eval-mlogloss:0.681364
[53] train-mlogloss:0.657141 eval-mlogloss:0.677963
[54] train-mlogloss:0.653136 eval-mlogloss:0.674168
[55] train-mlogloss:0.649774 eval-mlogloss:0.671211
[56] train-mlogloss:0.646358 eval-mlogloss:0.668045
[57] train-mlogloss:0.643136 eval-mlogloss:0.664950
[58] train-mlogloss:0.639951 eval-mlogloss:0.662125
[59] train-mlogloss:0.636822 eval-mlogloss:0.659148
[60] train-mlogloss:0.633776 eval-mlogloss:0.656506
[61] train-mlogloss:0.630565 eval-mlogloss:0.653677
[62] train-mlogloss:0.627599 eval-mlogloss:0.650971
[63] train-mlogloss:0.625024 eval-mlogloss:0.648728
[64] train-mlogloss:0.622654 eval-mlogloss:0.646718
[65] train-mlogloss:0.620129 eval-mlogloss:0.644551
[66] train-mlogloss:0.617365 eval-mlogloss:0.642062
[67] train-mlogloss:0.614912 eval-mlogloss:0.640063
[68] train-mlogloss:0.612454 eval-mlogloss:0.637891
[69] train-mlogloss:0.610254 eval-mlogloss:0.636143
[70] train-mlogloss:0.608019 eval-mlogloss:0.634205
[71] train-mlogloss:0.605874 eval-mlogloss:0.632182
[72] train-mlogloss:0.603612 eval-mlogloss:0.630394
[73] train-mlogloss:0.601218 eval-mlogloss:0.628451
[74] train-mlogloss:0.599158 eval-mlogloss:0.626541
[75] train-mlogloss:0.597160 eval-mlogloss:0.624726
[76] train-mlogloss:0.594898 eval-mlogloss:0.622821
[77] train-mlogloss:0.592959 eval-mlogloss:0.621145
[78] train-mlogloss:0.591073 eval-mlogloss:0.619504
[79] train-mlogloss:0.588769 eval-mlogloss:0.617683
[80] train-mlogloss:0.586981 eval-mlogloss:0.616249
[81] train-mlogloss:0.585177 eval-mlogloss:0.614772
[82] train-mlogloss:0.583368 eval-mlogloss:0.613218
[83] train-mlogloss:0.581678 eval-mlogloss:0.611882
[84] train-mlogloss:0.580047 eval-mlogloss:0.610504
[85] train-mlogloss:0.578228 eval-mlogloss:0.608962
[86] train-mlogloss:0.576659 eval-mlogloss:0.607683
[87] train-mlogloss:0.574969 eval-mlogloss:0.606344
[88] train-mlogloss:0.573426 eval-mlogloss:0.605069
[89] train-mlogloss:0.571848 eval-mlogloss:0.603688
[90] train-mlogloss:0.570247 eval-mlogloss:0.602500
[91] train-mlogloss:0.568488 eval-mlogloss:0.600854
[92] train-mlogloss:0.566866 eval-mlogloss:0.599637
[93] train-mlogloss:0.565383 eval-mlogloss:0.598407
[94] train-mlogloss:0.563833 eval-mlogloss:0.597384
[95] train-mlogloss:0.562518 eval-mlogloss:0.596328
[96] train-mlogloss:0.561271 eval-mlogloss:0.595081
[97] train-mlogloss:0.559959 eval-mlogloss:0.594092
[98] train-mlogloss:0.558427 eval-mlogloss:0.592673
[99] train-mlogloss:0.556958 eval-mlogloss:0.591459
[100] train-mlogloss:0.555813 eval-mlogloss:0.590436
[101] train-mlogloss:0.554517 eval-mlogloss:0.589396
[102] train-mlogloss:0.552985 eval-mlogloss:0.588239
[103] train-mlogloss:0.551578 eval-mlogloss:0.587226
[104] train-mlogloss:0.550272 eval-mlogloss:0.586296
[105] train-mlogloss:0.549041 eval-mlogloss:0.585457
[106] train-mlogloss:0.547588 eval-mlogloss:0.584405
[107] train-mlogloss:0.546286 eval-mlogloss:0.583419
[108] train-mlogloss:0.545131 eval-mlogloss:0.582483
[109] train-mlogloss:0.544045 eval-mlogloss:0.581576
[110] train-mlogloss:0.542899 eval-mlogloss:0.580724
[111] train-mlogloss:0.541779 eval-mlogloss:0.579863
[112] train-mlogloss:0.540634 eval-mlogloss:0.579027
[113] train-mlogloss:0.539585 eval-mlogloss:0.578250
[114] train-mlogloss:0.538365 eval-mlogloss:0.577248
[115] train-mlogloss:0.537470 eval-mlogloss:0.576561
[116] train-mlogloss:0.536378 eval-mlogloss:0.575697
[117] train-mlogloss:0.535384 eval-mlogloss:0.574876
[118] train-mlogloss:0.534371 eval-mlogloss:0.574059
[119] train-mlogloss:0.533193 eval-mlogloss:0.573111
[120] train-mlogloss:0.532166 eval-mlogloss:0.572268
[121] train-mlogloss:0.531271 eval-mlogloss:0.571686
[122] train-mlogloss:0.530169 eval-mlogloss:0.570973
[123] train-mlogloss:0.529192 eval-mlogloss:0.570185
[124] train-mlogloss:0.528263 eval-mlogloss:0.569549
[125] train-mlogloss:0.527308 eval-mlogloss:0.568878
[126] train-mlogloss:0.526245 eval-mlogloss:0.568107
[127] train-mlogloss:0.525300 eval-mlogloss:0.567461
[128] train-mlogloss:0.524301 eval-mlogloss:0.566640
[129] train-mlogloss:0.523399 eval-mlogloss:0.565921
[130] train-mlogloss:0.522282 eval-mlogloss:0.565136
[131] train-mlogloss:0.521499 eval-mlogloss:0.564484
[132] train-mlogloss:0.520525 eval-mlogloss:0.563796
[133] train-mlogloss:0.519740 eval-mlogloss:0.563181
[134] train-mlogloss:0.518618 eval-mlogloss:0.562440
[135] train-mlogloss:0.517557 eval-mlogloss:0.561698
[136] train-mlogloss:0.516665 eval-mlogloss:0.560956
[137] train-mlogloss:0.515529 eval-mlogloss:0.560266
[138] train-mlogloss:0.514716 eval-mlogloss:0.559678
[139] train-mlogloss:0.513911 eval-mlogloss:0.559050
[140] train-mlogloss:0.512709 eval-mlogloss:0.558117
[141] train-mlogloss:0.511671 eval-mlogloss:0.557396
[142] train-mlogloss:0.510794 eval-mlogloss:0.556838
[143] train-mlogloss:0.509946 eval-mlogloss:0.556348
[144] train-mlogloss:0.509139 eval-mlogloss:0.555883
[145] train-mlogloss:0.508250 eval-mlogloss:0.555436
[146] train-mlogloss:0.507314 eval-mlogloss:0.554812
[147] train-mlogloss:0.506622 eval-mlogloss:0.554253
[148] train-mlogloss:0.505881 eval-mlogloss:0.553797
[149] train-mlogloss:0.505203 eval-mlogloss:0.553263
[150] train-mlogloss:0.504513 eval-mlogloss:0.552791
[151] train-mlogloss:0.503694 eval-mlogloss:0.552079
[152] train-mlogloss:0.502950 eval-mlogloss:0.551428
[153] train-mlogloss:0.502228 eval-mlogloss:0.551056
[154] train-mlogloss:0.501411 eval-mlogloss:0.550569
[155] train-mlogloss:0.500664 eval-mlogloss:0.549894
[156] train-mlogloss:0.499910 eval-mlogloss:0.549381
[157] train-mlogloss:0.498991 eval-mlogloss:0.548754
[158] train-mlogloss:0.498193 eval-mlogloss:0.548130
[159] train-mlogloss:0.497527 eval-mlogloss:0.547661
[160] train-mlogloss:0.496644 eval-mlogloss:0.547064
[161] train-mlogloss:0.495901 eval-mlogloss:0.546627
[162] train-mlogloss:0.495166 eval-mlogloss:0.546089
[163] train-mlogloss:0.494540 eval-mlogloss:0.545699
[164] train-mlogloss:0.493897 eval-mlogloss:0.545229
[165] train-mlogloss:0.493127 eval-mlogloss:0.544721
[166] train-mlogloss:0.492489 eval-mlogloss:0.544159
[167] train-mlogloss:0.491816 eval-mlogloss:0.543726
[168] train-mlogloss:0.491180 eval-mlogloss:0.543234
[169] train-mlogloss:0.490297 eval-mlogloss:0.542626
[170] train-mlogloss:0.489608 eval-mlogloss:0.542237
[171] train-mlogloss:0.488848 eval-mlogloss:0.541712
[172] train-mlogloss:0.488104 eval-mlogloss:0.541265
[173] train-mlogloss:0.487387 eval-mlogloss:0.540851
[174] train-mlogloss:0.486740 eval-mlogloss:0.540447
[175] train-mlogloss:0.486166 eval-mlogloss:0.539999
[176] train-mlogloss:0.485443 eval-mlogloss:0.539504
[177] train-mlogloss:0.484603 eval-mlogloss:0.539060
[178] train-mlogloss:0.483994 eval-mlogloss:0.538748
[179] train-mlogloss:0.483300 eval-mlogloss:0.538377
[180] train-mlogloss:0.482607 eval-mlogloss:0.538003
[181] train-mlogloss:0.482143 eval-mlogloss:0.537785
[182] train-mlogloss:0.481291 eval-mlogloss:0.537225
[183] train-mlogloss:0.480641 eval-mlogloss:0.536787
[184] train-mlogloss:0.479929 eval-mlogloss:0.536350
[185] train-mlogloss:0.479408 eval-mlogloss:0.536086
[186] train-mlogloss:0.478645 eval-mlogloss:0.535627
[187] train-mlogloss:0.477986 eval-mlogloss:0.535064
[188] train-mlogloss:0.477264 eval-mlogloss:0.534643
[189] train-mlogloss:0.476784 eval-mlogloss:0.534349
[190] train-mlogloss:0.476144 eval-mlogloss:0.533990
[191] train-mlogloss:0.475582 eval-mlogloss:0.533729
[192] train-mlogloss:0.474958 eval-mlogloss:0.533289
[193] train-mlogloss:0.474357 eval-mlogloss:0.532940
[194] train-mlogloss:0.473636 eval-mlogloss:0.532457
[195] train-mlogloss:0.472979 eval-mlogloss:0.532053
[196] train-mlogloss:0.472311 eval-mlogloss:0.531766
[197] train-mlogloss:0.471731 eval-mlogloss:0.531435
[198] train-mlogloss:0.471282 eval-mlogloss:0.531197
[199] train-mlogloss:0.470608 eval-mlogloss:0.530797
[200] train-mlogloss:0.470042 eval-mlogloss:0.530378
[201] train-mlogloss:0.469624 eval-mlogloss:0.530078
[202] train-mlogloss:0.468902 eval-mlogloss:0.529657
[203] train-mlogloss:0.468298 eval-mlogloss:0.529311
[204] train-mlogloss:0.467799 eval-mlogloss:0.528998
[205] train-mlogloss:0.467085 eval-mlogloss:0.528642
[206] train-mlogloss:0.466431 eval-mlogloss:0.528275
[207] train-mlogloss:0.465787 eval-mlogloss:0.527909
[208] train-mlogloss:0.465249 eval-mlogloss:0.527592
[209] train-mlogloss:0.464675 eval-mlogloss:0.527219
[210] train-mlogloss:0.463939 eval-mlogloss:0.526924
[211] train-mlogloss:0.463404 eval-mlogloss:0.526537
[212] train-mlogloss:0.462856 eval-mlogloss:0.526164
[213] train-mlogloss:0.462378 eval-mlogloss:0.525911
[214] train-mlogloss:0.461788 eval-mlogloss:0.525610
[215] train-mlogloss:0.461294 eval-mlogloss:0.525326
[216] train-mlogloss:0.460822 eval-mlogloss:0.525158
[217] train-mlogloss:0.460281 eval-mlogloss:0.524874
[218] train-mlogloss:0.459767 eval-mlogloss:0.524593
[219] train-mlogloss:0.459188 eval-mlogloss:0.524313
[220] train-mlogloss:0.458564 eval-mlogloss:0.524072
[221] train-mlogloss:0.457982 eval-mlogloss:0.523763
[222] train-mlogloss:0.457419 eval-mlogloss:0.523544
[223] train-mlogloss:0.456819 eval-mlogloss:0.523163
[224] train-mlogloss:0.456305 eval-mlogloss:0.522934
[225] train-mlogloss:0.455713 eval-mlogloss:0.522623
[226] train-mlogloss:0.455231 eval-mlogloss:0.522298
[227] train-mlogloss:0.454798 eval-mlogloss:0.522109
[228] train-mlogloss:0.454284 eval-mlogloss:0.521865
[229] train-mlogloss:0.453806 eval-mlogloss:0.521598
[230] train-mlogloss:0.453246 eval-mlogloss:0.521338
[231] train-mlogloss:0.452775 eval-mlogloss:0.521071
[232] train-mlogloss:0.452340 eval-mlogloss:0.520825
[233] train-mlogloss:0.451782 eval-mlogloss:0.520425
[234] train-mlogloss:0.451366 eval-mlogloss:0.520099
[235] train-mlogloss:0.450823 eval-mlogloss:0.519771
[236] train-mlogloss:0.450360 eval-mlogloss:0.519461
[237] train-mlogloss:0.449773 eval-mlogloss:0.519033
[238] train-mlogloss:0.449347 eval-mlogloss:0.518822
[239] train-mlogloss:0.448848 eval-mlogloss:0.518561
[240] train-mlogloss:0.448221 eval-mlogloss:0.518249
[241] train-mlogloss:0.447858 eval-mlogloss:0.517973
[242] train-mlogloss:0.447313 eval-mlogloss:0.517742
[243] train-mlogloss:0.446743 eval-mlogloss:0.517346
[244] train-mlogloss:0.446315 eval-mlogloss:0.517093
[245] train-mlogloss:0.445782 eval-mlogloss:0.516872
[246] train-mlogloss:0.445181 eval-mlogloss:0.516702
[247] train-mlogloss:0.444665 eval-mlogloss:0.516581
[248] train-mlogloss:0.444033 eval-mlogloss:0.516275
[249] train-mlogloss:0.443502 eval-mlogloss:0.516000
[250] train-mlogloss:0.443040 eval-mlogloss:0.515786
[251] train-mlogloss:0.442542 eval-mlogloss:0.515551
[252] train-mlogloss:0.442157 eval-mlogloss:0.515357
[253] train-mlogloss:0.441640 eval-mlogloss:0.515141
[254] train-mlogloss:0.441156 eval-mlogloss:0.514818
[255] train-mlogloss:0.440651 eval-mlogloss:0.514559
[256] train-mlogloss:0.440160 eval-mlogloss:0.514319
[257] train-mlogloss:0.439565 eval-mlogloss:0.513985
[258] train-mlogloss:0.439197 eval-mlogloss:0.513835
[259] train-mlogloss:0.438593 eval-mlogloss:0.513482
[260] train-mlogloss:0.438122 eval-mlogloss:0.513301
[261] train-mlogloss:0.437585 eval-mlogloss:0.513113
[262] train-mlogloss:0.437038 eval-mlogloss:0.512725
[263] train-mlogloss:0.436578 eval-mlogloss:0.512460
[264] train-mlogloss:0.436027 eval-mlogloss:0.512383
[265] train-mlogloss:0.435619 eval-mlogloss:0.512208
[266] train-mlogloss:0.435309 eval-mlogloss:0.512079
[267] train-mlogloss:0.434926 eval-mlogloss:0.511929
[268] train-mlogloss:0.434533 eval-mlogloss:0.511689
[269] train-mlogloss:0.433993 eval-mlogloss:0.511425
[270] train-mlogloss:0.433579 eval-mlogloss:0.511210
[271] train-mlogloss:0.433136 eval-mlogloss:0.511055
[272] train-mlogloss:0.432720 eval-mlogloss:0.510943
[273] train-mlogloss:0.432471 eval-mlogloss:0.510825
[274] train-mlogloss:0.432048 eval-mlogloss:0.510635
[275] train-mlogloss:0.431668 eval-mlogloss:0.510416
[276] train-mlogloss:0.431292 eval-mlogloss:0.510221
[277] train-mlogloss:0.430841 eval-mlogloss:0.510000
[278] train-mlogloss:0.430497 eval-mlogloss:0.509844
[279] train-mlogloss:0.430063 eval-mlogloss:0.509587
[280] train-mlogloss:0.429687 eval-mlogloss:0.509416
[281] train-mlogloss:0.429258 eval-mlogloss:0.509246
[282] train-mlogloss:0.428773 eval-mlogloss:0.508968
[283] train-mlogloss:0.428354 eval-mlogloss:0.508767
[284] train-mlogloss:0.427926 eval-mlogloss:0.508621
[285] train-mlogloss:0.427502 eval-mlogloss:0.508431
[286] train-mlogloss:0.426967 eval-mlogloss:0.508262
[287] train-mlogloss:0.426554 eval-mlogloss:0.508028
[288] train-mlogloss:0.426140 eval-mlogloss:0.507816
[289] train-mlogloss:0.425786 eval-mlogloss:0.507642
[290] train-mlogloss:0.425314 eval-mlogloss:0.507482
[291] train-mlogloss:0.424833 eval-mlogloss:0.507201
[292] train-mlogloss:0.424363 eval-mlogloss:0.506942
[293] train-mlogloss:0.423867 eval-mlogloss:0.506677
[294] train-mlogloss:0.423471 eval-mlogloss:0.506472
[295] train-mlogloss:0.423133 eval-mlogloss:0.506340
[296] train-mlogloss:0.422755 eval-mlogloss:0.506132
[297] train-mlogloss:0.422398 eval-mlogloss:0.505952
[298] train-mlogloss:0.421948 eval-mlogloss:0.505866
[299] train-mlogloss:0.421558 eval-mlogloss:0.505650
[300] train-mlogloss:0.421201 eval-mlogloss:0.505429
[301] train-mlogloss:0.420910 eval-mlogloss:0.505286
[302] train-mlogloss:0.420491 eval-mlogloss:0.505169
[303] train-mlogloss:0.420004 eval-mlogloss:0.504856
[304] train-mlogloss:0.419695 eval-mlogloss:0.504778
[305] train-mlogloss:0.419319 eval-mlogloss:0.504665
[306] train-mlogloss:0.418997 eval-mlogloss:0.504468
[307] train-mlogloss:0.418606 eval-mlogloss:0.504308
[308] train-mlogloss:0.418202 eval-mlogloss:0.504218
[309] train-mlogloss:0.417864 eval-mlogloss:0.504043
[310] train-mlogloss:0.417518 eval-mlogloss:0.503848
[311] train-mlogloss:0.417173 eval-mlogloss:0.503665
[312] train-mlogloss:0.416851 eval-mlogloss:0.503497
[313] train-mlogloss:0.416477 eval-mlogloss:0.503214
[314] train-mlogloss:0.416103 eval-mlogloss:0.503089
[315] train-mlogloss:0.415664 eval-mlogloss:0.502892
[316] train-mlogloss:0.415278 eval-mlogloss:0.502801
[317] train-mlogloss:0.414903 eval-mlogloss:0.502652
[318] train-mlogloss:0.414544 eval-mlogloss:0.502531
[319] train-mlogloss:0.414152 eval-mlogloss:0.502447
[320] train-mlogloss:0.413667 eval-mlogloss:0.502283
[321] train-mlogloss:0.413145 eval-mlogloss:0.502068
[322] train-mlogloss:0.412605 eval-mlogloss:0.501855
[323] train-mlogloss:0.412175 eval-mlogloss:0.501623
[324] train-mlogloss:0.411812 eval-mlogloss:0.501480
[325] train-mlogloss:0.411484 eval-mlogloss:0.501302
[326] train-mlogloss:0.411109 eval-mlogloss:0.501147
[327] train-mlogloss:0.410725 eval-mlogloss:0.501013
[328] train-mlogloss:0.410393 eval-mlogloss:0.500789
[329] train-mlogloss:0.410003 eval-mlogloss:0.500578
[330] train-mlogloss:0.409671 eval-mlogloss:0.500405
[331] train-mlogloss:0.409192 eval-mlogloss:0.500227
[332] train-mlogloss:0.408910 eval-mlogloss:0.500110
[333] train-mlogloss:0.408447 eval-mlogloss:0.499973
[334] train-mlogloss:0.408049 eval-mlogloss:0.499891
[335] train-mlogloss:0.407584 eval-mlogloss:0.499743
[336] train-mlogloss:0.407204 eval-mlogloss:0.499549
[337] train-mlogloss:0.406773 eval-mlogloss:0.499361
[338] train-mlogloss:0.406394 eval-mlogloss:0.499246
[339] train-mlogloss:0.406136 eval-mlogloss:0.499157
[340] train-mlogloss:0.405781 eval-mlogloss:0.499019
[341] train-mlogloss:0.405399 eval-mlogloss:0.498912
[342] train-mlogloss:0.405069 eval-mlogloss:0.498800
[343] train-mlogloss:0.404698 eval-mlogloss:0.498692
[344] train-mlogloss:0.404406 eval-mlogloss:0.498518
[345] train-mlogloss:0.404090 eval-mlogloss:0.498335
[346] train-mlogloss:0.403688 eval-mlogloss:0.498196
[347] train-mlogloss:0.403223 eval-mlogloss:0.497913
[348] train-mlogloss:0.402979 eval-mlogloss:0.497848
[349] train-mlogloss:0.402581 eval-mlogloss:0.497662
[350] train-mlogloss:0.402251 eval-mlogloss:0.497464
[351] train-mlogloss:0.401917 eval-mlogloss:0.497358
[352] train-mlogloss:0.401561 eval-mlogloss:0.497202
[353] train-mlogloss:0.401190 eval-mlogloss:0.497038
[354] train-mlogloss:0.400852 eval-mlogloss:0.496871
[355] train-mlogloss:0.400466 eval-mlogloss:0.496756
[356] train-mlogloss:0.400136 eval-mlogloss:0.496491
[357] train-mlogloss:0.399824 eval-mlogloss:0.496283
[358] train-mlogloss:0.399437 eval-mlogloss:0.496131
[359] train-mlogloss:0.399048 eval-mlogloss:0.496014
[360] train-mlogloss:0.398780 eval-mlogloss:0.495907
[361] train-mlogloss:0.398369 eval-mlogloss:0.495778
[362] train-mlogloss:0.398076 eval-mlogloss:0.495705
[363] train-mlogloss:0.397749 eval-mlogloss:0.495541
[364] train-mlogloss:0.397428 eval-mlogloss:0.495451
[365] train-mlogloss:0.397092 eval-mlogloss:0.495416
[366] train-mlogloss:0.396813 eval-mlogloss:0.495297
[367] train-mlogloss:0.396516 eval-mlogloss:0.495202
[368] train-mlogloss:0.396193 eval-mlogloss:0.495081
[369] train-mlogloss:0.395907 eval-mlogloss:0.494951
[370] train-mlogloss:0.395569 eval-mlogloss:0.494834
[371] train-mlogloss:0.395262 eval-mlogloss:0.494716
[372] train-mlogloss:0.394996 eval-mlogloss:0.494634
[373] train-mlogloss:0.394703 eval-mlogloss:0.494516
[374] train-mlogloss:0.394368 eval-mlogloss:0.494285
[375] train-mlogloss:0.394107 eval-mlogloss:0.494182
[376] train-mlogloss:0.393808 eval-mlogloss:0.494120
[377] train-mlogloss:0.393571 eval-mlogloss:0.494000
[378] train-mlogloss:0.393311 eval-mlogloss:0.493927
[379] train-mlogloss:0.392896 eval-mlogloss:0.493876
[380] train-mlogloss:0.392546 eval-mlogloss:0.493793
[381] train-mlogloss:0.392202 eval-mlogloss:0.493618
[382] train-mlogloss:0.391872 eval-mlogloss:0.493486
[383] train-mlogloss:0.391608 eval-mlogloss:0.493408
[384] train-mlogloss:0.391272 eval-mlogloss:0.493289
[385] train-mlogloss:0.390970 eval-mlogloss:0.493278
[386] train-mlogloss:0.390717 eval-mlogloss:0.493226
[387] train-mlogloss:0.390212 eval-mlogloss:0.493078
[388] train-mlogloss:0.389969 eval-mlogloss:0.492931
[389] train-mlogloss:0.389680 eval-mlogloss:0.492879
[390] train-mlogloss:0.389392 eval-mlogloss:0.492807
[391] train-mlogloss:0.389147 eval-mlogloss:0.492658
[392] train-mlogloss:0.388789 eval-mlogloss:0.492473
[393] train-mlogloss:0.388414 eval-mlogloss:0.492226
[394] train-mlogloss:0.388155 eval-mlogloss:0.492146
[395] train-mlogloss:0.387832 eval-mlogloss:0.492016
[396] train-mlogloss:0.387655 eval-mlogloss:0.491938
[397] train-mlogloss:0.387284 eval-mlogloss:0.491770
[398] train-mlogloss:0.386968 eval-mlogloss:0.491653
[399] train-mlogloss:0.386657 eval-mlogloss:0.491527
[400] train-mlogloss:0.386317 eval-mlogloss:0.491427
[401] train-mlogloss:0.385991 eval-mlogloss:0.491352
[402] train-mlogloss:0.385739 eval-mlogloss:0.491251
[403] train-mlogloss:0.385416 eval-mlogloss:0.491071
[404] train-mlogloss:0.385156 eval-mlogloss:0.491048
[405] train-mlogloss:0.384817 eval-mlogloss:0.490939
[406] train-mlogloss:0.384435 eval-mlogloss:0.490858
[407] train-mlogloss:0.384027 eval-mlogloss:0.490691
[408] train-mlogloss:0.383682 eval-mlogloss:0.490573
[409] train-mlogloss:0.383299 eval-mlogloss:0.490491
[410] train-mlogloss:0.382939 eval-mlogloss:0.490449
[411] train-mlogloss:0.382564 eval-mlogloss:0.490325
[412] train-mlogloss:0.382323 eval-mlogloss:0.490257
[413] train-mlogloss:0.381933 eval-mlogloss:0.490140
[414] train-mlogloss:0.381571 eval-mlogloss:0.489999
[415] train-mlogloss:0.381346 eval-mlogloss:0.489925
[416] train-mlogloss:0.381078 eval-mlogloss:0.489824
[417] train-mlogloss:0.380778 eval-mlogloss:0.489630
[418] train-mlogloss:0.380460 eval-mlogloss:0.489516
[419] train-mlogloss:0.380125 eval-mlogloss:0.489359
[420] train-mlogloss:0.379813 eval-mlogloss:0.489256
[421] train-mlogloss:0.379512 eval-mlogloss:0.489151
[422] train-mlogloss:0.379114 eval-mlogloss:0.489060
[423] train-mlogloss:0.378762 eval-mlogloss:0.488992
[424] train-mlogloss:0.378479 eval-mlogloss:0.488890
[425] train-mlogloss:0.378213 eval-mlogloss:0.488831
[426] train-mlogloss:0.377850 eval-mlogloss:0.488759
[427] train-mlogloss:0.377592 eval-mlogloss:0.488680
[428] train-mlogloss:0.377337 eval-mlogloss:0.488587
[429] train-mlogloss:0.377080 eval-mlogloss:0.488501
[430] train-mlogloss:0.376863 eval-mlogloss:0.488383
[431] train-mlogloss:0.376569 eval-mlogloss:0.488320
[432] train-mlogloss:0.376219 eval-mlogloss:0.488133
[433] train-mlogloss:0.375883 eval-mlogloss:0.488064
[434] train-mlogloss:0.375552 eval-mlogloss:0.487960
[435] train-mlogloss:0.375170 eval-mlogloss:0.487803
[436] train-mlogloss:0.374824 eval-mlogloss:0.487706
[437] train-mlogloss:0.374465 eval-mlogloss:0.487645
[438] train-mlogloss:0.374156 eval-mlogloss:0.487533
[439] train-mlogloss:0.373860 eval-mlogloss:0.487413
[440] train-mlogloss:0.373595 eval-mlogloss:0.487321
[441] train-mlogloss:0.373286 eval-mlogloss:0.487270
[442] train-mlogloss:0.372983 eval-mlogloss:0.487176
[443] train-mlogloss:0.372677 eval-mlogloss:0.487050
[444] train-mlogloss:0.372412 eval-mlogloss:0.486904
[445] train-mlogloss:0.372086 eval-mlogloss:0.486791
[446] train-mlogloss:0.371823 eval-mlogloss:0.486748
[447] train-mlogloss:0.371529 eval-mlogloss:0.486675
[448] train-mlogloss:0.371196 eval-mlogloss:0.486563
[449] train-mlogloss:0.370992 eval-mlogloss:0.486556
[450] train-mlogloss:0.370594 eval-mlogloss:0.486518
[451] train-mlogloss:0.370348 eval-mlogloss:0.486388
[452] train-mlogloss:0.370060 eval-mlogloss:0.486323
[453] train-mlogloss:0.369841 eval-mlogloss:0.486242
[454] train-mlogloss:0.369561 eval-mlogloss:0.486149
[455] train-mlogloss:0.369202 eval-mlogloss:0.486044
[456] train-mlogloss:0.368942 eval-mlogloss:0.485877
[457] train-mlogloss:0.368758 eval-mlogloss:0.485816
[458] train-mlogloss:0.368441 eval-mlogloss:0.485661
[459] train-mlogloss:0.368208 eval-mlogloss:0.485588
[460] train-mlogloss:0.367882 eval-mlogloss:0.485431
[461] train-mlogloss:0.367633 eval-mlogloss:0.485368
[462] train-mlogloss:0.367375 eval-mlogloss:0.485273
[463] train-mlogloss:0.367101 eval-mlogloss:0.485197
[464] train-mlogloss:0.366848 eval-mlogloss:0.485071
[465] train-mlogloss:0.366642 eval-mlogloss:0.484989
[466] train-mlogloss:0.366271 eval-mlogloss:0.484851
[467] train-mlogloss:0.366038 eval-mlogloss:0.484796
[468] train-mlogloss:0.365781 eval-mlogloss:0.484705
[469] train-mlogloss:0.365560 eval-mlogloss:0.484674
[470] train-mlogloss:0.365329 eval-mlogloss:0.484697
[471] train-mlogloss:0.365058 eval-mlogloss:0.484672
[472] train-mlogloss:0.364867 eval-mlogloss:0.484639
[473] train-mlogloss:0.364589 eval-mlogloss:0.484548
[474] train-mlogloss:0.364287 eval-mlogloss:0.484478
[475] train-mlogloss:0.363863 eval-mlogloss:0.484292
[476] train-mlogloss:0.363574 eval-mlogloss:0.484175
[477] train-mlogloss:0.363333 eval-mlogloss:0.484159
[478] train-mlogloss:0.363101 eval-mlogloss:0.484015
[479] train-mlogloss:0.362872 eval-mlogloss:0.483893
[480] train-mlogloss:0.362549 eval-mlogloss:0.483828
[481] train-mlogloss:0.362305 eval-mlogloss:0.483783
[482] train-mlogloss:0.362019 eval-mlogloss:0.483718
[483] train-mlogloss:0.361739 eval-mlogloss:0.483546
[484] train-mlogloss:0.361541 eval-mlogloss:0.483473
[485] train-mlogloss:0.361127 eval-mlogloss:0.483246
[486] train-mlogloss:0.360915 eval-mlogloss:0.483251
[487] train-mlogloss:0.360653 eval-mlogloss:0.483196
[488] train-mlogloss:0.360408 eval-mlogloss:0.483102
[489] train-mlogloss:0.360183 eval-mlogloss:0.483012
[490] train-mlogloss:0.359870 eval-mlogloss:0.482879
[491] train-mlogloss:0.359654 eval-mlogloss:0.482806
[492] train-mlogloss:0.359430 eval-mlogloss:0.482646
[493] train-mlogloss:0.359215 eval-mlogloss:0.482541
[494] train-mlogloss:0.358958 eval-mlogloss:0.482507
[495] train-mlogloss:0.358754 eval-mlogloss:0.482457
[496] train-mlogloss:0.358528 eval-mlogloss:0.482400
[497] train-mlogloss:0.358249 eval-mlogloss:0.482243
[498] train-mlogloss:0.357954 eval-mlogloss:0.482175
[499] train-mlogloss:0.357642 eval-mlogloss:0.482096
Training with params :
{'eta': 0.1, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9}
Score 0.4820960123447893
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.426224 eval-mlogloss:1.429895
[1] train-mlogloss:1.201423 eval-mlogloss:1.206027
[2] train-mlogloss:1.073541 eval-mlogloss:1.077971
[3] train-mlogloss:0.981670 eval-mlogloss:0.987701
[4] train-mlogloss:0.911990 eval-mlogloss:0.919110
[5] train-mlogloss:0.860894 eval-mlogloss:0.870001
[6] train-mlogloss:0.820976 eval-mlogloss:0.831251
[7] train-mlogloss:0.790337 eval-mlogloss:0.801336
[8] train-mlogloss:0.763722 eval-mlogloss:0.774688
[9] train-mlogloss:0.742516 eval-mlogloss:0.754352
[10] train-mlogloss:0.723606 eval-mlogloss:0.735899
[11] train-mlogloss:0.706755 eval-mlogloss:0.719512
[12] train-mlogloss:0.692295 eval-mlogloss:0.705284
[13] train-mlogloss:0.680161 eval-mlogloss:0.695005
[14] train-mlogloss:0.669380 eval-mlogloss:0.685556
[15] train-mlogloss:0.659800 eval-mlogloss:0.676962
[16] train-mlogloss:0.650147 eval-mlogloss:0.667970
[17] train-mlogloss:0.642598 eval-mlogloss:0.661609
[18] train-mlogloss:0.634584 eval-mlogloss:0.654634
[19] train-mlogloss:0.627081 eval-mlogloss:0.648959
[20] train-mlogloss:0.620823 eval-mlogloss:0.643528
[21] train-mlogloss:0.615126 eval-mlogloss:0.639439
[22] train-mlogloss:0.609632 eval-mlogloss:0.634298
[23] train-mlogloss:0.604065 eval-mlogloss:0.629735
[24] train-mlogloss:0.598737 eval-mlogloss:0.624417
[25] train-mlogloss:0.593945 eval-mlogloss:0.620102
[26] train-mlogloss:0.589495 eval-mlogloss:0.617139
[27] train-mlogloss:0.584873 eval-mlogloss:0.613176
[28] train-mlogloss:0.580283 eval-mlogloss:0.609567
[29] train-mlogloss:0.576487 eval-mlogloss:0.606672
[30] train-mlogloss:0.572903 eval-mlogloss:0.603883
[31] train-mlogloss:0.569214 eval-mlogloss:0.600280
[32] train-mlogloss:0.565324 eval-mlogloss:0.597678
[33] train-mlogloss:0.562365 eval-mlogloss:0.595428
[34] train-mlogloss:0.558591 eval-mlogloss:0.592633
[35] train-mlogloss:0.555399 eval-mlogloss:0.590387
[36] train-mlogloss:0.552055 eval-mlogloss:0.587529
[37] train-mlogloss:0.549242 eval-mlogloss:0.585481
[38] train-mlogloss:0.546181 eval-mlogloss:0.583203
[39] train-mlogloss:0.543680 eval-mlogloss:0.581623
[40] train-mlogloss:0.541201 eval-mlogloss:0.579932
[41] train-mlogloss:0.537934 eval-mlogloss:0.577415
[42] train-mlogloss:0.535260 eval-mlogloss:0.575751
[43] train-mlogloss:0.532688 eval-mlogloss:0.573349
[44] train-mlogloss:0.530219 eval-mlogloss:0.572163
[45] train-mlogloss:0.527668 eval-mlogloss:0.570642
[46] train-mlogloss:0.525281 eval-mlogloss:0.569294
[47] train-mlogloss:0.523021 eval-mlogloss:0.567466
[48] train-mlogloss:0.520821 eval-mlogloss:0.566220
[49] train-mlogloss:0.518696 eval-mlogloss:0.564764
[50] train-mlogloss:0.516351 eval-mlogloss:0.563472
[51] train-mlogloss:0.513980 eval-mlogloss:0.562226
[52] train-mlogloss:0.511685 eval-mlogloss:0.560568
[53] train-mlogloss:0.509924 eval-mlogloss:0.559539
[54] train-mlogloss:0.507755 eval-mlogloss:0.558018
[55] train-mlogloss:0.506104 eval-mlogloss:0.557119
[56] train-mlogloss:0.504102 eval-mlogloss:0.556047
[57] train-mlogloss:0.502694 eval-mlogloss:0.555111
[58] train-mlogloss:0.500995 eval-mlogloss:0.554031
[59] train-mlogloss:0.499371 eval-mlogloss:0.553039
[60] train-mlogloss:0.497415 eval-mlogloss:0.551661
[61] train-mlogloss:0.495853 eval-mlogloss:0.550450
[62] train-mlogloss:0.493965 eval-mlogloss:0.548858
[63] train-mlogloss:0.492529 eval-mlogloss:0.547823
[64] train-mlogloss:0.490824 eval-mlogloss:0.546785
[65] train-mlogloss:0.489397 eval-mlogloss:0.545876
[66] train-mlogloss:0.487790 eval-mlogloss:0.544945
[67] train-mlogloss:0.486368 eval-mlogloss:0.544460
[68] train-mlogloss:0.484763 eval-mlogloss:0.543482
[69] train-mlogloss:0.483090 eval-mlogloss:0.542576
[70] train-mlogloss:0.481427 eval-mlogloss:0.541729
[71] train-mlogloss:0.479770 eval-mlogloss:0.541554
[72] train-mlogloss:0.478549 eval-mlogloss:0.540848
[73] train-mlogloss:0.476995 eval-mlogloss:0.539949
[74] train-mlogloss:0.475509 eval-mlogloss:0.539263
[75] train-mlogloss:0.473963 eval-mlogloss:0.538509
[76] train-mlogloss:0.472144 eval-mlogloss:0.537461
[77] train-mlogloss:0.470523 eval-mlogloss:0.536598
[78] train-mlogloss:0.469309 eval-mlogloss:0.535904
[79] train-mlogloss:0.468194 eval-mlogloss:0.535224
[80] train-mlogloss:0.467209 eval-mlogloss:0.534416
[81] train-mlogloss:0.465710 eval-mlogloss:0.533751
[82] train-mlogloss:0.464604 eval-mlogloss:0.533891
[83] train-mlogloss:0.463668 eval-mlogloss:0.533401
[84] train-mlogloss:0.462156 eval-mlogloss:0.532384
[85] train-mlogloss:0.460928 eval-mlogloss:0.532175
[86] train-mlogloss:0.459896 eval-mlogloss:0.531363
[87] train-mlogloss:0.459047 eval-mlogloss:0.530861
[88] train-mlogloss:0.458045 eval-mlogloss:0.530524
[89] train-mlogloss:0.456910 eval-mlogloss:0.530153
[90] train-mlogloss:0.455494 eval-mlogloss:0.529415
[91] train-mlogloss:0.454201 eval-mlogloss:0.528578
[92] train-mlogloss:0.453152 eval-mlogloss:0.527874
[93] train-mlogloss:0.451775 eval-mlogloss:0.527496
[94] train-mlogloss:0.450740 eval-mlogloss:0.527288
[95] train-mlogloss:0.449826 eval-mlogloss:0.526831
[96] train-mlogloss:0.448675 eval-mlogloss:0.526175
[97] train-mlogloss:0.447890 eval-mlogloss:0.525870
[98] train-mlogloss:0.446881 eval-mlogloss:0.525448
[99] train-mlogloss:0.446080 eval-mlogloss:0.525133
[100] train-mlogloss:0.445216 eval-mlogloss:0.524735
[101] train-mlogloss:0.444163 eval-mlogloss:0.524308
[102] train-mlogloss:0.442883 eval-mlogloss:0.523651
[103] train-mlogloss:0.442012 eval-mlogloss:0.523028
[104] train-mlogloss:0.441150 eval-mlogloss:0.522797
[105] train-mlogloss:0.440061 eval-mlogloss:0.522582
[106] train-mlogloss:0.438860 eval-mlogloss:0.522182
[107] train-mlogloss:0.438072 eval-mlogloss:0.521776
[108] train-mlogloss:0.437242 eval-mlogloss:0.521606
[109] train-mlogloss:0.436050 eval-mlogloss:0.521186
[110] train-mlogloss:0.434793 eval-mlogloss:0.520418
[111] train-mlogloss:0.434137 eval-mlogloss:0.520145
[112] train-mlogloss:0.433335 eval-mlogloss:0.519801
[113] train-mlogloss:0.432053 eval-mlogloss:0.519310
[114] train-mlogloss:0.430864 eval-mlogloss:0.518324
[115] train-mlogloss:0.429794 eval-mlogloss:0.517678
[116] train-mlogloss:0.428931 eval-mlogloss:0.517155
[117] train-mlogloss:0.427822 eval-mlogloss:0.516929
[118] train-mlogloss:0.426905 eval-mlogloss:0.516740
[119] train-mlogloss:0.425840 eval-mlogloss:0.516461
[120] train-mlogloss:0.424755 eval-mlogloss:0.516109
[121] train-mlogloss:0.423665 eval-mlogloss:0.515814
[122] train-mlogloss:0.422766 eval-mlogloss:0.515699
[123] train-mlogloss:0.421940 eval-mlogloss:0.515269
[124] train-mlogloss:0.421131 eval-mlogloss:0.515110
[125] train-mlogloss:0.420157 eval-mlogloss:0.514774
[126] train-mlogloss:0.419357 eval-mlogloss:0.514601
[127] train-mlogloss:0.418213 eval-mlogloss:0.514209
[128] train-mlogloss:0.417509 eval-mlogloss:0.514128
[129] train-mlogloss:0.416674 eval-mlogloss:0.514026
[130] train-mlogloss:0.415670 eval-mlogloss:0.513855
[131] train-mlogloss:0.415095 eval-mlogloss:0.513736
[132] train-mlogloss:0.414420 eval-mlogloss:0.513476
[133] train-mlogloss:0.413570 eval-mlogloss:0.513239
[134] train-mlogloss:0.412738 eval-mlogloss:0.512996
[135] train-mlogloss:0.412180 eval-mlogloss:0.512870
[136] train-mlogloss:0.411357 eval-mlogloss:0.512508
[137] train-mlogloss:0.410865 eval-mlogloss:0.512203
[138] train-mlogloss:0.410231 eval-mlogloss:0.512061
[139] train-mlogloss:0.409491 eval-mlogloss:0.511809
[140] train-mlogloss:0.408812 eval-mlogloss:0.511592
[141] train-mlogloss:0.408144 eval-mlogloss:0.511625
[142] train-mlogloss:0.407290 eval-mlogloss:0.511175
[143] train-mlogloss:0.406535 eval-mlogloss:0.510916
[144] train-mlogloss:0.405849 eval-mlogloss:0.510663
[145] train-mlogloss:0.405000 eval-mlogloss:0.510071
[146] train-mlogloss:0.404270 eval-mlogloss:0.509962
[147] train-mlogloss:0.403721 eval-mlogloss:0.509607
[148] train-mlogloss:0.402698 eval-mlogloss:0.509253
[149] train-mlogloss:0.402025 eval-mlogloss:0.509101
[150] train-mlogloss:0.401148 eval-mlogloss:0.508970
[151] train-mlogloss:0.400208 eval-mlogloss:0.508914
[152] train-mlogloss:0.399479 eval-mlogloss:0.508932
[153] train-mlogloss:0.398777 eval-mlogloss:0.508532
[154] train-mlogloss:0.397953 eval-mlogloss:0.508073
[155] train-mlogloss:0.397297 eval-mlogloss:0.507860
[156] train-mlogloss:0.396600 eval-mlogloss:0.507605
[157] train-mlogloss:0.396058 eval-mlogloss:0.507499
[158] train-mlogloss:0.395331 eval-mlogloss:0.507513
[159] train-mlogloss:0.394676 eval-mlogloss:0.507275
[160] train-mlogloss:0.393862 eval-mlogloss:0.506929
[161] train-mlogloss:0.392969 eval-mlogloss:0.506674
[162] train-mlogloss:0.392329 eval-mlogloss:0.506442
[163] train-mlogloss:0.391675 eval-mlogloss:0.506449
[164] train-mlogloss:0.391037 eval-mlogloss:0.506252
[165] train-mlogloss:0.390162 eval-mlogloss:0.506000
[166] train-mlogloss:0.389437 eval-mlogloss:0.505978
[167] train-mlogloss:0.388713 eval-mlogloss:0.506041
[168] train-mlogloss:0.388017 eval-mlogloss:0.506088
[169] train-mlogloss:0.387570 eval-mlogloss:0.505847
[170] train-mlogloss:0.387019 eval-mlogloss:0.505579
[171] train-mlogloss:0.386429 eval-mlogloss:0.505527
[172] train-mlogloss:0.385997 eval-mlogloss:0.505409
[173] train-mlogloss:0.385479 eval-mlogloss:0.505258
[174] train-mlogloss:0.384792 eval-mlogloss:0.505055
[175] train-mlogloss:0.384159 eval-mlogloss:0.504691
[176] train-mlogloss:0.383624 eval-mlogloss:0.504442
[177] train-mlogloss:0.383038 eval-mlogloss:0.504221
[178] train-mlogloss:0.382352 eval-mlogloss:0.503619
[179] train-mlogloss:0.381761 eval-mlogloss:0.503491
[180] train-mlogloss:0.381182 eval-mlogloss:0.503432
[181] train-mlogloss:0.380380 eval-mlogloss:0.503149
[182] train-mlogloss:0.379706 eval-mlogloss:0.503143
[183] train-mlogloss:0.378887 eval-mlogloss:0.502561
[184] train-mlogloss:0.378258 eval-mlogloss:0.502588
[185] train-mlogloss:0.377591 eval-mlogloss:0.502577
[186] train-mlogloss:0.376739 eval-mlogloss:0.502550
[187] train-mlogloss:0.376181 eval-mlogloss:0.502399
[188] train-mlogloss:0.375596 eval-mlogloss:0.502709
[189] train-mlogloss:0.375098 eval-mlogloss:0.502550
[190] train-mlogloss:0.374341 eval-mlogloss:0.502396
[191] train-mlogloss:0.373550 eval-mlogloss:0.502143
[192] train-mlogloss:0.373207 eval-mlogloss:0.502013
[193] train-mlogloss:0.372606 eval-mlogloss:0.501681
[194] train-mlogloss:0.372274 eval-mlogloss:0.501719
[195] train-mlogloss:0.371769 eval-mlogloss:0.501736
[196] train-mlogloss:0.371253 eval-mlogloss:0.501518
[197] train-mlogloss:0.370795 eval-mlogloss:0.501272
[198] train-mlogloss:0.370328 eval-mlogloss:0.501219
[199] train-mlogloss:0.369897 eval-mlogloss:0.501097
[200] train-mlogloss:0.369499 eval-mlogloss:0.500985
[201] train-mlogloss:0.369110 eval-mlogloss:0.500858
[202] train-mlogloss:0.368703 eval-mlogloss:0.500997
[203] train-mlogloss:0.368218 eval-mlogloss:0.500873
[204] train-mlogloss:0.367806 eval-mlogloss:0.500683
[205] train-mlogloss:0.367154 eval-mlogloss:0.500542
[206] train-mlogloss:0.366548 eval-mlogloss:0.500358
[207] train-mlogloss:0.366209 eval-mlogloss:0.500246
[208] train-mlogloss:0.365575 eval-mlogloss:0.500107
[209] train-mlogloss:0.365089 eval-mlogloss:0.499969
[210] train-mlogloss:0.364649 eval-mlogloss:0.499827
[211] train-mlogloss:0.363968 eval-mlogloss:0.499710
[212] train-mlogloss:0.363465 eval-mlogloss:0.499696
[213] train-mlogloss:0.362967 eval-mlogloss:0.499654
[214] train-mlogloss:0.362390 eval-mlogloss:0.499539
[215] train-mlogloss:0.361965 eval-mlogloss:0.499367
[216] train-mlogloss:0.361539 eval-mlogloss:0.499331
[217] train-mlogloss:0.361261 eval-mlogloss:0.499157
[218] train-mlogloss:0.360517 eval-mlogloss:0.499077
[219] train-mlogloss:0.359830 eval-mlogloss:0.498761
[220] train-mlogloss:0.359387 eval-mlogloss:0.498829
[221] train-mlogloss:0.358861 eval-mlogloss:0.498878
[222] train-mlogloss:0.358162 eval-mlogloss:0.498598
[223] train-mlogloss:0.357715 eval-mlogloss:0.498444
[224] train-mlogloss:0.357069 eval-mlogloss:0.498304
[225] train-mlogloss:0.356671 eval-mlogloss:0.498261
[226] train-mlogloss:0.356047 eval-mlogloss:0.497766
[227] train-mlogloss:0.355539 eval-mlogloss:0.497737
[228] train-mlogloss:0.355045 eval-mlogloss:0.497617
[229] train-mlogloss:0.354503 eval-mlogloss:0.497576
[230] train-mlogloss:0.354234 eval-mlogloss:0.497565
[231] train-mlogloss:0.353594 eval-mlogloss:0.497221
[232] train-mlogloss:0.353130 eval-mlogloss:0.497023
[233] train-mlogloss:0.352428 eval-mlogloss:0.497172
[234] train-mlogloss:0.352251 eval-mlogloss:0.497123
[235] train-mlogloss:0.351840 eval-mlogloss:0.496951
[236] train-mlogloss:0.351281 eval-mlogloss:0.496744
[237] train-mlogloss:0.351039 eval-mlogloss:0.496584
[238] train-mlogloss:0.350680 eval-mlogloss:0.496351
[239] train-mlogloss:0.350142 eval-mlogloss:0.496320
[240] train-mlogloss:0.349532 eval-mlogloss:0.496197
[241] train-mlogloss:0.349186 eval-mlogloss:0.496330
[242] train-mlogloss:0.348487 eval-mlogloss:0.496319
[243] train-mlogloss:0.348242 eval-mlogloss:0.496344
[244] train-mlogloss:0.347780 eval-mlogloss:0.496321
[245] train-mlogloss:0.347322 eval-mlogloss:0.496063
[246] train-mlogloss:0.347103 eval-mlogloss:0.496169
[247] train-mlogloss:0.346755 eval-mlogloss:0.496289
[248] train-mlogloss:0.346270 eval-mlogloss:0.496257
[249] train-mlogloss:0.345998 eval-mlogloss:0.496274
[250] train-mlogloss:0.345551 eval-mlogloss:0.496247
[251] train-mlogloss:0.345127 eval-mlogloss:0.496115
[252] train-mlogloss:0.344672 eval-mlogloss:0.495871
[253] train-mlogloss:0.344339 eval-mlogloss:0.495753
[254] train-mlogloss:0.343893 eval-mlogloss:0.495570
[255] train-mlogloss:0.343511 eval-mlogloss:0.495466
[256] train-mlogloss:0.343238 eval-mlogloss:0.495593
[257] train-mlogloss:0.342929 eval-mlogloss:0.495728
[258] train-mlogloss:0.342635 eval-mlogloss:0.495868
[259] train-mlogloss:0.342313 eval-mlogloss:0.495891
[260] train-mlogloss:0.341929 eval-mlogloss:0.495593
[261] train-mlogloss:0.341468 eval-mlogloss:0.495378
[262] train-mlogloss:0.340791 eval-mlogloss:0.495414
[263] train-mlogloss:0.340354 eval-mlogloss:0.495556
[264] train-mlogloss:0.340077 eval-mlogloss:0.495480
[265] train-mlogloss:0.339890 eval-mlogloss:0.495528
[266] train-mlogloss:0.339617 eval-mlogloss:0.495522
[267] train-mlogloss:0.339264 eval-mlogloss:0.495726
[268] train-mlogloss:0.338956 eval-mlogloss:0.495808
[269] train-mlogloss:0.338664 eval-mlogloss:0.495934
[270] train-mlogloss:0.338177 eval-mlogloss:0.495796
Training with params :
{'eta': 0.47500000000000003, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 3.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.49573864548593816
[271] train-mlogloss:0.338049 eval-mlogloss:0.495739
Stopping. Best iteration:
[261] train-mlogloss:0.341468 eval-mlogloss:0.495378
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.458331 eval-mlogloss:1.464655
[1] train-mlogloss:1.222431 eval-mlogloss:1.230434
[2] train-mlogloss:1.072347 eval-mlogloss:1.082570
[3] train-mlogloss:0.971076 eval-mlogloss:0.981730
[4] train-mlogloss:0.894928 eval-mlogloss:0.908236
[5] train-mlogloss:0.837498 eval-mlogloss:0.852838
[6] train-mlogloss:0.795004 eval-mlogloss:0.811523
[7] train-mlogloss:0.758887 eval-mlogloss:0.775544
[8] train-mlogloss:0.731555 eval-mlogloss:0.748705
[9] train-mlogloss:0.708617 eval-mlogloss:0.727064
[10] train-mlogloss:0.687992 eval-mlogloss:0.707550
[11] train-mlogloss:0.670324 eval-mlogloss:0.691529
[12] train-mlogloss:0.654739 eval-mlogloss:0.676550
[13] train-mlogloss:0.641876 eval-mlogloss:0.665572
[14] train-mlogloss:0.629322 eval-mlogloss:0.653852
[15] train-mlogloss:0.619992 eval-mlogloss:0.645658
[16] train-mlogloss:0.610873 eval-mlogloss:0.637720
[17] train-mlogloss:0.601701 eval-mlogloss:0.629974
[18] train-mlogloss:0.593373 eval-mlogloss:0.623011
[19] train-mlogloss:0.585784 eval-mlogloss:0.616723
[20] train-mlogloss:0.579072 eval-mlogloss:0.610906
[21] train-mlogloss:0.572629 eval-mlogloss:0.606051
[22] train-mlogloss:0.566414 eval-mlogloss:0.601027
[23] train-mlogloss:0.560115 eval-mlogloss:0.596463
[24] train-mlogloss:0.555073 eval-mlogloss:0.592876
[25] train-mlogloss:0.549726 eval-mlogloss:0.589299
[26] train-mlogloss:0.544409 eval-mlogloss:0.585558
[27] train-mlogloss:0.540875 eval-mlogloss:0.582597
[28] train-mlogloss:0.536498 eval-mlogloss:0.579394
[29] train-mlogloss:0.532761 eval-mlogloss:0.576312
[30] train-mlogloss:0.528892 eval-mlogloss:0.573521
[31] train-mlogloss:0.524697 eval-mlogloss:0.570628
[32] train-mlogloss:0.521308 eval-mlogloss:0.567905
[33] train-mlogloss:0.517399 eval-mlogloss:0.565407
[34] train-mlogloss:0.514118 eval-mlogloss:0.563402
[35] train-mlogloss:0.511045 eval-mlogloss:0.561641
[36] train-mlogloss:0.508016 eval-mlogloss:0.559739
[37] train-mlogloss:0.504830 eval-mlogloss:0.557951
[38] train-mlogloss:0.501627 eval-mlogloss:0.555689
[39] train-mlogloss:0.498296 eval-mlogloss:0.553617
[40] train-mlogloss:0.495954 eval-mlogloss:0.552391
[41] train-mlogloss:0.493153 eval-mlogloss:0.550693
[42] train-mlogloss:0.490217 eval-mlogloss:0.549335
[43] train-mlogloss:0.487810 eval-mlogloss:0.547737
[44] train-mlogloss:0.484675 eval-mlogloss:0.545771
[45] train-mlogloss:0.482091 eval-mlogloss:0.544413
[46] train-mlogloss:0.479382 eval-mlogloss:0.542961
[47] train-mlogloss:0.476909 eval-mlogloss:0.541794
[48] train-mlogloss:0.474673 eval-mlogloss:0.540660
[49] train-mlogloss:0.471958 eval-mlogloss:0.539081
[50] train-mlogloss:0.469504 eval-mlogloss:0.537969
[51] train-mlogloss:0.466745 eval-mlogloss:0.536473
[52] train-mlogloss:0.463963 eval-mlogloss:0.534452
[53] train-mlogloss:0.461897 eval-mlogloss:0.532752
[54] train-mlogloss:0.460149 eval-mlogloss:0.532014
[55] train-mlogloss:0.458264 eval-mlogloss:0.530812
[56] train-mlogloss:0.455874 eval-mlogloss:0.529735
[57] train-mlogloss:0.454098 eval-mlogloss:0.528856
[58] train-mlogloss:0.451862 eval-mlogloss:0.527985
[59] train-mlogloss:0.449564 eval-mlogloss:0.526754
[60] train-mlogloss:0.447715 eval-mlogloss:0.526174
[61] train-mlogloss:0.445567 eval-mlogloss:0.524930
[62] train-mlogloss:0.443239 eval-mlogloss:0.524079
[63] train-mlogloss:0.441456 eval-mlogloss:0.523323
[64] train-mlogloss:0.439619 eval-mlogloss:0.522373
[65] train-mlogloss:0.437267 eval-mlogloss:0.520943
[66] train-mlogloss:0.435681 eval-mlogloss:0.520323
[67] train-mlogloss:0.433764 eval-mlogloss:0.519737
[68] train-mlogloss:0.432203 eval-mlogloss:0.518681
[69] train-mlogloss:0.430310 eval-mlogloss:0.518033
[70] train-mlogloss:0.428714 eval-mlogloss:0.517225
[71] train-mlogloss:0.427193 eval-mlogloss:0.516453
[72] train-mlogloss:0.425271 eval-mlogloss:0.515511
[73] train-mlogloss:0.424185 eval-mlogloss:0.515358
[74] train-mlogloss:0.422441 eval-mlogloss:0.514652
[75] train-mlogloss:0.420979 eval-mlogloss:0.514047
[76] train-mlogloss:0.418864 eval-mlogloss:0.513057
[77] train-mlogloss:0.416955 eval-mlogloss:0.512073
[78] train-mlogloss:0.415343 eval-mlogloss:0.511699
[79] train-mlogloss:0.414042 eval-mlogloss:0.510942
[80] train-mlogloss:0.413148 eval-mlogloss:0.510497
[81] train-mlogloss:0.411571 eval-mlogloss:0.509852
[82] train-mlogloss:0.410265 eval-mlogloss:0.509463
[83] train-mlogloss:0.408838 eval-mlogloss:0.508873
[84] train-mlogloss:0.407868 eval-mlogloss:0.508442
[85] train-mlogloss:0.406529 eval-mlogloss:0.507936
[86] train-mlogloss:0.405285 eval-mlogloss:0.507706
[87] train-mlogloss:0.403691 eval-mlogloss:0.507247
[88] train-mlogloss:0.402390 eval-mlogloss:0.506584
[89] train-mlogloss:0.400728 eval-mlogloss:0.505852
[90] train-mlogloss:0.399397 eval-mlogloss:0.505230
[91] train-mlogloss:0.398172 eval-mlogloss:0.504921
[92] train-mlogloss:0.397052 eval-mlogloss:0.504857
[93] train-mlogloss:0.395657 eval-mlogloss:0.504459
[94] train-mlogloss:0.394189 eval-mlogloss:0.503310
[95] train-mlogloss:0.393189 eval-mlogloss:0.503064
[96] train-mlogloss:0.391826 eval-mlogloss:0.503151
[97] train-mlogloss:0.390288 eval-mlogloss:0.502895
[98] train-mlogloss:0.389320 eval-mlogloss:0.502409
[99] train-mlogloss:0.388025 eval-mlogloss:0.502035
[100] train-mlogloss:0.386557 eval-mlogloss:0.501987
[101] train-mlogloss:0.385447 eval-mlogloss:0.501697
[102] train-mlogloss:0.384568 eval-mlogloss:0.501566
[103] train-mlogloss:0.383301 eval-mlogloss:0.501242
[104] train-mlogloss:0.381956 eval-mlogloss:0.500733
[105] train-mlogloss:0.380402 eval-mlogloss:0.500121
[106] train-mlogloss:0.379291 eval-mlogloss:0.500325
[107] train-mlogloss:0.377951 eval-mlogloss:0.499928
[108] train-mlogloss:0.376545 eval-mlogloss:0.499641
[109] train-mlogloss:0.375228 eval-mlogloss:0.499242
[110] train-mlogloss:0.374188 eval-mlogloss:0.499412
[111] train-mlogloss:0.372971 eval-mlogloss:0.499204
[112] train-mlogloss:0.372048 eval-mlogloss:0.499286
[113] train-mlogloss:0.371211 eval-mlogloss:0.499137
[114] train-mlogloss:0.370026 eval-mlogloss:0.498872
[115] train-mlogloss:0.368829 eval-mlogloss:0.498525
[116] train-mlogloss:0.367876 eval-mlogloss:0.498411
[117] train-mlogloss:0.366328 eval-mlogloss:0.497884
[118] train-mlogloss:0.365233 eval-mlogloss:0.497934
[119] train-mlogloss:0.364486 eval-mlogloss:0.497445
[120] train-mlogloss:0.363313 eval-mlogloss:0.497225
[121] train-mlogloss:0.362371 eval-mlogloss:0.497301
[122] train-mlogloss:0.361561 eval-mlogloss:0.497299
[123] train-mlogloss:0.360374 eval-mlogloss:0.496981
[124] train-mlogloss:0.359128 eval-mlogloss:0.496663
[125] train-mlogloss:0.358088 eval-mlogloss:0.496583
[126] train-mlogloss:0.357202 eval-mlogloss:0.496726
[127] train-mlogloss:0.356314 eval-mlogloss:0.496401
[128] train-mlogloss:0.355247 eval-mlogloss:0.495969
[129] train-mlogloss:0.354191 eval-mlogloss:0.496016
[130] train-mlogloss:0.353189 eval-mlogloss:0.495812
[131] train-mlogloss:0.352094 eval-mlogloss:0.495776
[132] train-mlogloss:0.351056 eval-mlogloss:0.495610
[133] train-mlogloss:0.350202 eval-mlogloss:0.495718
[134] train-mlogloss:0.349200 eval-mlogloss:0.495469
[135] train-mlogloss:0.348170 eval-mlogloss:0.495431
[136] train-mlogloss:0.346983 eval-mlogloss:0.495140
[137] train-mlogloss:0.345716 eval-mlogloss:0.494713
[138] train-mlogloss:0.344838 eval-mlogloss:0.494483
[139] train-mlogloss:0.343722 eval-mlogloss:0.494063
[140] train-mlogloss:0.342696 eval-mlogloss:0.493911
[141] train-mlogloss:0.341623 eval-mlogloss:0.493856
[142] train-mlogloss:0.340828 eval-mlogloss:0.493880
[143] train-mlogloss:0.339927 eval-mlogloss:0.494056
[144] train-mlogloss:0.339022 eval-mlogloss:0.493831
[145] train-mlogloss:0.338421 eval-mlogloss:0.494068
[146] train-mlogloss:0.337680 eval-mlogloss:0.493872
[147] train-mlogloss:0.336489 eval-mlogloss:0.493732
[148] train-mlogloss:0.335283 eval-mlogloss:0.493815
[149] train-mlogloss:0.334354 eval-mlogloss:0.493796
[150] train-mlogloss:0.333289 eval-mlogloss:0.493491
[151] train-mlogloss:0.332233 eval-mlogloss:0.493008
[152] train-mlogloss:0.331663 eval-mlogloss:0.492682
[153] train-mlogloss:0.330496 eval-mlogloss:0.492648
[154] train-mlogloss:0.329439 eval-mlogloss:0.492488
[155] train-mlogloss:0.328497 eval-mlogloss:0.492338
[156] train-mlogloss:0.327452 eval-mlogloss:0.491898
[157] train-mlogloss:0.326487 eval-mlogloss:0.492057
[158] train-mlogloss:0.325456 eval-mlogloss:0.492218
[159] train-mlogloss:0.324747 eval-mlogloss:0.492290
[160] train-mlogloss:0.323855 eval-mlogloss:0.491961
[161] train-mlogloss:0.323013 eval-mlogloss:0.491764
[162] train-mlogloss:0.322177 eval-mlogloss:0.491660
[163] train-mlogloss:0.321330 eval-mlogloss:0.491773
[164] train-mlogloss:0.320501 eval-mlogloss:0.491890
[165] train-mlogloss:0.319699 eval-mlogloss:0.491742
[166] train-mlogloss:0.318602 eval-mlogloss:0.491322
[167] train-mlogloss:0.317821 eval-mlogloss:0.491314
[168] train-mlogloss:0.317258 eval-mlogloss:0.491410
[169] train-mlogloss:0.316532 eval-mlogloss:0.491312
[170] train-mlogloss:0.315434 eval-mlogloss:0.490913
[171] train-mlogloss:0.314515 eval-mlogloss:0.490774
[172] train-mlogloss:0.313836 eval-mlogloss:0.490569
[173] train-mlogloss:0.313134 eval-mlogloss:0.490616
[174] train-mlogloss:0.312642 eval-mlogloss:0.490509
[175] train-mlogloss:0.311493 eval-mlogloss:0.490196
[176] train-mlogloss:0.310903 eval-mlogloss:0.490030
[177] train-mlogloss:0.310291 eval-mlogloss:0.490004
[178] train-mlogloss:0.309665 eval-mlogloss:0.489882
[179] train-mlogloss:0.308873 eval-mlogloss:0.489806
[180] train-mlogloss:0.308102 eval-mlogloss:0.489479
[181] train-mlogloss:0.307569 eval-mlogloss:0.489637
[182] train-mlogloss:0.306748 eval-mlogloss:0.489452
[183] train-mlogloss:0.305733 eval-mlogloss:0.488924
[184] train-mlogloss:0.305135 eval-mlogloss:0.488986
[185] train-mlogloss:0.304392 eval-mlogloss:0.488916
[186] train-mlogloss:0.303498 eval-mlogloss:0.488854
[187] train-mlogloss:0.302629 eval-mlogloss:0.488777
[188] train-mlogloss:0.302166 eval-mlogloss:0.488587
[189] train-mlogloss:0.301425 eval-mlogloss:0.488293
[190] train-mlogloss:0.300729 eval-mlogloss:0.488246
[191] train-mlogloss:0.299936 eval-mlogloss:0.488316
[192] train-mlogloss:0.299216 eval-mlogloss:0.488457
[193] train-mlogloss:0.298638 eval-mlogloss:0.488425
[194] train-mlogloss:0.297767 eval-mlogloss:0.488417
[195] train-mlogloss:0.296915 eval-mlogloss:0.488483
[196] train-mlogloss:0.296224 eval-mlogloss:0.488174
[197] train-mlogloss:0.295710 eval-mlogloss:0.488206
[198] train-mlogloss:0.295050 eval-mlogloss:0.488379
[199] train-mlogloss:0.294386 eval-mlogloss:0.488254
[200] train-mlogloss:0.293793 eval-mlogloss:0.488048
[201] train-mlogloss:0.293099 eval-mlogloss:0.487883
[202] train-mlogloss:0.292150 eval-mlogloss:0.487997
[203] train-mlogloss:0.291591 eval-mlogloss:0.488167
[204] train-mlogloss:0.290868 eval-mlogloss:0.487736
[205] train-mlogloss:0.290088 eval-mlogloss:0.487737
[206] train-mlogloss:0.289407 eval-mlogloss:0.487723
[207] train-mlogloss:0.288814 eval-mlogloss:0.487508
[208] train-mlogloss:0.288271 eval-mlogloss:0.487319
[209] train-mlogloss:0.287574 eval-mlogloss:0.487096
[210] train-mlogloss:0.287086 eval-mlogloss:0.486946
[211] train-mlogloss:0.286216 eval-mlogloss:0.486882
[212] train-mlogloss:0.285624 eval-mlogloss:0.487090
[213] train-mlogloss:0.284946 eval-mlogloss:0.487250
[214] train-mlogloss:0.284547 eval-mlogloss:0.487073
[215] train-mlogloss:0.284004 eval-mlogloss:0.487236
[216] train-mlogloss:0.283353 eval-mlogloss:0.487187
[217] train-mlogloss:0.282681 eval-mlogloss:0.487303
[218] train-mlogloss:0.282113 eval-mlogloss:0.487250
[219] train-mlogloss:0.281330 eval-mlogloss:0.486977
[220] train-mlogloss:0.280402 eval-mlogloss:0.487260
[221] train-mlogloss:0.279872 eval-mlogloss:0.487010
Training with params :
{'eta': 0.4, 'eval_metric': 'mlogloss', 'colsample_bytree': 1.0, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9500000000000001}
Score 0.48700981252497716
Stopping. Best iteration:
[211] train-mlogloss:0.286216 eval-mlogloss:0.486882
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.706261 eval-mlogloss:1.703269
[1] train-mlogloss:1.495031 eval-mlogloss:1.494473
[2] train-mlogloss:1.344933 eval-mlogloss:1.346897
[3] train-mlogloss:1.244406 eval-mlogloss:1.247207
[4] train-mlogloss:1.179003 eval-mlogloss:1.181786
[5] train-mlogloss:1.121037 eval-mlogloss:1.124328
[6] train-mlogloss:1.073593 eval-mlogloss:1.078319
[7] train-mlogloss:1.028857 eval-mlogloss:1.032759
[8] train-mlogloss:0.995321 eval-mlogloss:0.998694
[9] train-mlogloss:0.965201 eval-mlogloss:0.968761
[10] train-mlogloss:0.937858 eval-mlogloss:0.941164
[11] train-mlogloss:0.914917 eval-mlogloss:0.918133
[12] train-mlogloss:0.893597 eval-mlogloss:0.897325
[13] train-mlogloss:0.876760 eval-mlogloss:0.880862
[14] train-mlogloss:0.861013 eval-mlogloss:0.864873
[15] train-mlogloss:0.841604 eval-mlogloss:0.846220
[16] train-mlogloss:0.826819 eval-mlogloss:0.832977
[17] train-mlogloss:0.815187 eval-mlogloss:0.821278
[18] train-mlogloss:0.801525 eval-mlogloss:0.808530
[19] train-mlogloss:0.791900 eval-mlogloss:0.799222
[20] train-mlogloss:0.780506 eval-mlogloss:0.788150
[21] train-mlogloss:0.770704 eval-mlogloss:0.778709
[22] train-mlogloss:0.762252 eval-mlogloss:0.770529
[23] train-mlogloss:0.754215 eval-mlogloss:0.762950
[24] train-mlogloss:0.745517 eval-mlogloss:0.754372
[25] train-mlogloss:0.738139 eval-mlogloss:0.747199
[26] train-mlogloss:0.731375 eval-mlogloss:0.740089
[27] train-mlogloss:0.725035 eval-mlogloss:0.734028
[28] train-mlogloss:0.718884 eval-mlogloss:0.727742
[29] train-mlogloss:0.713590 eval-mlogloss:0.722547
[30] train-mlogloss:0.708452 eval-mlogloss:0.717839
[31] train-mlogloss:0.703449 eval-mlogloss:0.712534
[32] train-mlogloss:0.699069 eval-mlogloss:0.708521
[33] train-mlogloss:0.694722 eval-mlogloss:0.704140
[34] train-mlogloss:0.690562 eval-mlogloss:0.700045
[35] train-mlogloss:0.686351 eval-mlogloss:0.696551
[36] train-mlogloss:0.682765 eval-mlogloss:0.692840
[37] train-mlogloss:0.678604 eval-mlogloss:0.688777
[38] train-mlogloss:0.675098 eval-mlogloss:0.685451
[39] train-mlogloss:0.671555 eval-mlogloss:0.682426
[40] train-mlogloss:0.668397 eval-mlogloss:0.679489
[41] train-mlogloss:0.665344 eval-mlogloss:0.676053
[42] train-mlogloss:0.662028 eval-mlogloss:0.673046
[43] train-mlogloss:0.658980 eval-mlogloss:0.670308
[44] train-mlogloss:0.655958 eval-mlogloss:0.667274
[45] train-mlogloss:0.652995 eval-mlogloss:0.664781
[46] train-mlogloss:0.650266 eval-mlogloss:0.662029
[47] train-mlogloss:0.647610 eval-mlogloss:0.659465
[48] train-mlogloss:0.645042 eval-mlogloss:0.657394
[49] train-mlogloss:0.642573 eval-mlogloss:0.654901
[50] train-mlogloss:0.639547 eval-mlogloss:0.651834
[51] train-mlogloss:0.636995 eval-mlogloss:0.649593
[52] train-mlogloss:0.634540 eval-mlogloss:0.647220
[53] train-mlogloss:0.632180 eval-mlogloss:0.645673
[54] train-mlogloss:0.630080 eval-mlogloss:0.643641
[55] train-mlogloss:0.627765 eval-mlogloss:0.641614
[56] train-mlogloss:0.625571 eval-mlogloss:0.639652
[57] train-mlogloss:0.623242 eval-mlogloss:0.637504
[58] train-mlogloss:0.621329 eval-mlogloss:0.635401
[59] train-mlogloss:0.619311 eval-mlogloss:0.633274
[60] train-mlogloss:0.617368 eval-mlogloss:0.631305
[61] train-mlogloss:0.615458 eval-mlogloss:0.629596
[62] train-mlogloss:0.613622 eval-mlogloss:0.628101
[63] train-mlogloss:0.611916 eval-mlogloss:0.626570
[64] train-mlogloss:0.610097 eval-mlogloss:0.625251
[65] train-mlogloss:0.608537 eval-mlogloss:0.623684
[66] train-mlogloss:0.606791 eval-mlogloss:0.622514
[67] train-mlogloss:0.605145 eval-mlogloss:0.620995
[68] train-mlogloss:0.603489 eval-mlogloss:0.619893
[69] train-mlogloss:0.602004 eval-mlogloss:0.618596
[70] train-mlogloss:0.600454 eval-mlogloss:0.617321
[71] train-mlogloss:0.599125 eval-mlogloss:0.615890
[72] train-mlogloss:0.597626 eval-mlogloss:0.614601
[73] train-mlogloss:0.596257 eval-mlogloss:0.613422
[74] train-mlogloss:0.594584 eval-mlogloss:0.611701
[75] train-mlogloss:0.593141 eval-mlogloss:0.610230
[76] train-mlogloss:0.591740 eval-mlogloss:0.609124
[77] train-mlogloss:0.590365 eval-mlogloss:0.607949
[78] train-mlogloss:0.589042 eval-mlogloss:0.606647
[79] train-mlogloss:0.587764 eval-mlogloss:0.605671
[80] train-mlogloss:0.586473 eval-mlogloss:0.604465
[81] train-mlogloss:0.585124 eval-mlogloss:0.603309
[82] train-mlogloss:0.583844 eval-mlogloss:0.602307
[83] train-mlogloss:0.582510 eval-mlogloss:0.601252
[84] train-mlogloss:0.581188 eval-mlogloss:0.600133
[85] train-mlogloss:0.580000 eval-mlogloss:0.599065
[86] train-mlogloss:0.578894 eval-mlogloss:0.598104
[87] train-mlogloss:0.577708 eval-mlogloss:0.597051
[88] train-mlogloss:0.576591 eval-mlogloss:0.595927
[89] train-mlogloss:0.575491 eval-mlogloss:0.595357
[90] train-mlogloss:0.574357 eval-mlogloss:0.594448
[91] train-mlogloss:0.573320 eval-mlogloss:0.593715
[92] train-mlogloss:0.572244 eval-mlogloss:0.592907
[93] train-mlogloss:0.571122 eval-mlogloss:0.592026
[94] train-mlogloss:0.569943 eval-mlogloss:0.590859
[95] train-mlogloss:0.568928 eval-mlogloss:0.590057
[96] train-mlogloss:0.567885 eval-mlogloss:0.589460
[97] train-mlogloss:0.566973 eval-mlogloss:0.588777
[98] train-mlogloss:0.565919 eval-mlogloss:0.588061
[99] train-mlogloss:0.564905 eval-mlogloss:0.587144
[100] train-mlogloss:0.564014 eval-mlogloss:0.586473
[101] train-mlogloss:0.563063 eval-mlogloss:0.585821
[102] train-mlogloss:0.562294 eval-mlogloss:0.585488
[103] train-mlogloss:0.561296 eval-mlogloss:0.584590
[104] train-mlogloss:0.560372 eval-mlogloss:0.583703
[105] train-mlogloss:0.559447 eval-mlogloss:0.582984
[106] train-mlogloss:0.558427 eval-mlogloss:0.582298
[107] train-mlogloss:0.557485 eval-mlogloss:0.581925
[108] train-mlogloss:0.556651 eval-mlogloss:0.581088
[109] train-mlogloss:0.555953 eval-mlogloss:0.580584
[110] train-mlogloss:0.555193 eval-mlogloss:0.580213
[111] train-mlogloss:0.554175 eval-mlogloss:0.579267
[112] train-mlogloss:0.553144 eval-mlogloss:0.578514
[113] train-mlogloss:0.552242 eval-mlogloss:0.577936
[114] train-mlogloss:0.551350 eval-mlogloss:0.577503
[115] train-mlogloss:0.550577 eval-mlogloss:0.577096
[116] train-mlogloss:0.549674 eval-mlogloss:0.576462
[117] train-mlogloss:0.548811 eval-mlogloss:0.575606
[118] train-mlogloss:0.548053 eval-mlogloss:0.574907
[119] train-mlogloss:0.547179 eval-mlogloss:0.574391
[120] train-mlogloss:0.546303 eval-mlogloss:0.573621
[121] train-mlogloss:0.545534 eval-mlogloss:0.572960
[122] train-mlogloss:0.544892 eval-mlogloss:0.572386
[123] train-mlogloss:0.544145 eval-mlogloss:0.571910
[124] train-mlogloss:0.543308 eval-mlogloss:0.571546
[125] train-mlogloss:0.542562 eval-mlogloss:0.570837
[126] train-mlogloss:0.541703 eval-mlogloss:0.570093
[127] train-mlogloss:0.540913 eval-mlogloss:0.569477
[128] train-mlogloss:0.540226 eval-mlogloss:0.568801
[129] train-mlogloss:0.539635 eval-mlogloss:0.568490
[130] train-mlogloss:0.538994 eval-mlogloss:0.568153
[131] train-mlogloss:0.538255 eval-mlogloss:0.567745
[132] train-mlogloss:0.537506 eval-mlogloss:0.567034
[133] train-mlogloss:0.536890 eval-mlogloss:0.566671
[134] train-mlogloss:0.536208 eval-mlogloss:0.566202
[135] train-mlogloss:0.535476 eval-mlogloss:0.565660
[136] train-mlogloss:0.534693 eval-mlogloss:0.565196
[137] train-mlogloss:0.533996 eval-mlogloss:0.564413
[138] train-mlogloss:0.533367 eval-mlogloss:0.563977
[139] train-mlogloss:0.532798 eval-mlogloss:0.563657
[140] train-mlogloss:0.532232 eval-mlogloss:0.563216
[141] train-mlogloss:0.531749 eval-mlogloss:0.562901
[142] train-mlogloss:0.531035 eval-mlogloss:0.562554
[143] train-mlogloss:0.530232 eval-mlogloss:0.562009
[144] train-mlogloss:0.529711 eval-mlogloss:0.561500
[145] train-mlogloss:0.528972 eval-mlogloss:0.560981
[146] train-mlogloss:0.528241 eval-mlogloss:0.560584
[147] train-mlogloss:0.527732 eval-mlogloss:0.560420
[148] train-mlogloss:0.527146 eval-mlogloss:0.560133
[149] train-mlogloss:0.526490 eval-mlogloss:0.559710
[150] train-mlogloss:0.526005 eval-mlogloss:0.559364
[151] train-mlogloss:0.525215 eval-mlogloss:0.558642
[152] train-mlogloss:0.524662 eval-mlogloss:0.558262
[153] train-mlogloss:0.524113 eval-mlogloss:0.557981
[154] train-mlogloss:0.523562 eval-mlogloss:0.557867
[155] train-mlogloss:0.522983 eval-mlogloss:0.557544
[156] train-mlogloss:0.522336 eval-mlogloss:0.557108
[157] train-mlogloss:0.521735 eval-mlogloss:0.556636
[158] train-mlogloss:0.521160 eval-mlogloss:0.556556
[159] train-mlogloss:0.520517 eval-mlogloss:0.556284
[160] train-mlogloss:0.520063 eval-mlogloss:0.555839
[161] train-mlogloss:0.519429 eval-mlogloss:0.555373
[162] train-mlogloss:0.518818 eval-mlogloss:0.555185
[163] train-mlogloss:0.518349 eval-mlogloss:0.554737
[164] train-mlogloss:0.517755 eval-mlogloss:0.554455
[165] train-mlogloss:0.517120 eval-mlogloss:0.554128
[166] train-mlogloss:0.516601 eval-mlogloss:0.553532
[167] train-mlogloss:0.516145 eval-mlogloss:0.553282
[168] train-mlogloss:0.515658 eval-mlogloss:0.552763
[169] train-mlogloss:0.515176 eval-mlogloss:0.552450
[170] train-mlogloss:0.514658 eval-mlogloss:0.552081
[171] train-mlogloss:0.514075 eval-mlogloss:0.551580
[172] train-mlogloss:0.513513 eval-mlogloss:0.551188
[173] train-mlogloss:0.512997 eval-mlogloss:0.550853
[174] train-mlogloss:0.512449 eval-mlogloss:0.550435
[175] train-mlogloss:0.511923 eval-mlogloss:0.550260
[176] train-mlogloss:0.511432 eval-mlogloss:0.550004
[177] train-mlogloss:0.510979 eval-mlogloss:0.549597
[178] train-mlogloss:0.510489 eval-mlogloss:0.549233
[179] train-mlogloss:0.509941 eval-mlogloss:0.548818
[180] train-mlogloss:0.509438 eval-mlogloss:0.548325
[181] train-mlogloss:0.508922 eval-mlogloss:0.548189
[182] train-mlogloss:0.508427 eval-mlogloss:0.548025
[183] train-mlogloss:0.507933 eval-mlogloss:0.547909
[184] train-mlogloss:0.507426 eval-mlogloss:0.547640
[185] train-mlogloss:0.506819 eval-mlogloss:0.547236
[186] train-mlogloss:0.506320 eval-mlogloss:0.546900
[187] train-mlogloss:0.505868 eval-mlogloss:0.546455
[188] train-mlogloss:0.505465 eval-mlogloss:0.546192
[189] train-mlogloss:0.504919 eval-mlogloss:0.545821
[190] train-mlogloss:0.504458 eval-mlogloss:0.545639
[191] train-mlogloss:0.503819 eval-mlogloss:0.545301
[192] train-mlogloss:0.503351 eval-mlogloss:0.545141
[193] train-mlogloss:0.502793 eval-mlogloss:0.544717
[194] train-mlogloss:0.502377 eval-mlogloss:0.544402
[195] train-mlogloss:0.501988 eval-mlogloss:0.544123
[196] train-mlogloss:0.501575 eval-mlogloss:0.543934
[197] train-mlogloss:0.501113 eval-mlogloss:0.543737
[198] train-mlogloss:0.500644 eval-mlogloss:0.543298
[199] train-mlogloss:0.500283 eval-mlogloss:0.543186
[200] train-mlogloss:0.499682 eval-mlogloss:0.543033
[201] train-mlogloss:0.499107 eval-mlogloss:0.542778
[202] train-mlogloss:0.498561 eval-mlogloss:0.542319
[203] train-mlogloss:0.498113 eval-mlogloss:0.541901
[204] train-mlogloss:0.497607 eval-mlogloss:0.541613
[205] train-mlogloss:0.497284 eval-mlogloss:0.541385
[206] train-mlogloss:0.496870 eval-mlogloss:0.541235
[207] train-mlogloss:0.496388 eval-mlogloss:0.540952
[208] train-mlogloss:0.495942 eval-mlogloss:0.540642
[209] train-mlogloss:0.495545 eval-mlogloss:0.540551
[210] train-mlogloss:0.495226 eval-mlogloss:0.540363
[211] train-mlogloss:0.494822 eval-mlogloss:0.540214
[212] train-mlogloss:0.494452 eval-mlogloss:0.539936
[213] train-mlogloss:0.494002 eval-mlogloss:0.539860
[214] train-mlogloss:0.493558 eval-mlogloss:0.539605
[215] train-mlogloss:0.493199 eval-mlogloss:0.539465
[216] train-mlogloss:0.492673 eval-mlogloss:0.539002
[217] train-mlogloss:0.492355 eval-mlogloss:0.538762
[218] train-mlogloss:0.492050 eval-mlogloss:0.538628
[219] train-mlogloss:0.491658 eval-mlogloss:0.538641
[220] train-mlogloss:0.491211 eval-mlogloss:0.538264
[221] train-mlogloss:0.490843 eval-mlogloss:0.538133
[222] train-mlogloss:0.490378 eval-mlogloss:0.537652
[223] train-mlogloss:0.489993 eval-mlogloss:0.537502
[224] train-mlogloss:0.489720 eval-mlogloss:0.537591
[225] train-mlogloss:0.489419 eval-mlogloss:0.537574
[226] train-mlogloss:0.489030 eval-mlogloss:0.537475
[227] train-mlogloss:0.488693 eval-mlogloss:0.537424
[228] train-mlogloss:0.488311 eval-mlogloss:0.537153
[229] train-mlogloss:0.487876 eval-mlogloss:0.537066
[230] train-mlogloss:0.487515 eval-mlogloss:0.537104
[231] train-mlogloss:0.487191 eval-mlogloss:0.537040
[232] train-mlogloss:0.486833 eval-mlogloss:0.537225
[233] train-mlogloss:0.486528 eval-mlogloss:0.537160
[234] train-mlogloss:0.486198 eval-mlogloss:0.536943
[235] train-mlogloss:0.485849 eval-mlogloss:0.536949
[236] train-mlogloss:0.485578 eval-mlogloss:0.536700
[237] train-mlogloss:0.485203 eval-mlogloss:0.536492
[238] train-mlogloss:0.484838 eval-mlogloss:0.536289
[239] train-mlogloss:0.484538 eval-mlogloss:0.536117
[240] train-mlogloss:0.484219 eval-mlogloss:0.535840
[241] train-mlogloss:0.483867 eval-mlogloss:0.535694
[242] train-mlogloss:0.483547 eval-mlogloss:0.535553
[243] train-mlogloss:0.483244 eval-mlogloss:0.535392
[244] train-mlogloss:0.482878 eval-mlogloss:0.535265
[245] train-mlogloss:0.482513 eval-mlogloss:0.535031
[246] train-mlogloss:0.482234 eval-mlogloss:0.534917
[247] train-mlogloss:0.481954 eval-mlogloss:0.534865
[248] train-mlogloss:0.481557 eval-mlogloss:0.534648
[249] train-mlogloss:0.481156 eval-mlogloss:0.534451
[250] train-mlogloss:0.480764 eval-mlogloss:0.534142
[251] train-mlogloss:0.480446 eval-mlogloss:0.534147
[252] train-mlogloss:0.480079 eval-mlogloss:0.534092
[253] train-mlogloss:0.479737 eval-mlogloss:0.533887
[254] train-mlogloss:0.479466 eval-mlogloss:0.533671
[255] train-mlogloss:0.479135 eval-mlogloss:0.533542
[256] train-mlogloss:0.478774 eval-mlogloss:0.533238
[257] train-mlogloss:0.478543 eval-mlogloss:0.533163
[258] train-mlogloss:0.478314 eval-mlogloss:0.533013
[259] train-mlogloss:0.477993 eval-mlogloss:0.533076
[260] train-mlogloss:0.477692 eval-mlogloss:0.532771
[261] train-mlogloss:0.477445 eval-mlogloss:0.532534
[262] train-mlogloss:0.477126 eval-mlogloss:0.532352
[263] train-mlogloss:0.476854 eval-mlogloss:0.532215
[264] train-mlogloss:0.476562 eval-mlogloss:0.532302
[265] train-mlogloss:0.476222 eval-mlogloss:0.532204
[266] train-mlogloss:0.475972 eval-mlogloss:0.532159
[267] train-mlogloss:0.475680 eval-mlogloss:0.531945
[268] train-mlogloss:0.475252 eval-mlogloss:0.531914
[269] train-mlogloss:0.474888 eval-mlogloss:0.531699
[270] train-mlogloss:0.474557 eval-mlogloss:0.531662
[271] train-mlogloss:0.474309 eval-mlogloss:0.531554
[272] train-mlogloss:0.473971 eval-mlogloss:0.531325
[273] train-mlogloss:0.473670 eval-mlogloss:0.531361
[274] train-mlogloss:0.473282 eval-mlogloss:0.531249
[275] train-mlogloss:0.472973 eval-mlogloss:0.530988
[276] train-mlogloss:0.472692 eval-mlogloss:0.530905
[277] train-mlogloss:0.472356 eval-mlogloss:0.530913
[278] train-mlogloss:0.472012 eval-mlogloss:0.530710
[279] train-mlogloss:0.471590 eval-mlogloss:0.530501
[280] train-mlogloss:0.471300 eval-mlogloss:0.530324
[281] train-mlogloss:0.471039 eval-mlogloss:0.530240
[282] train-mlogloss:0.470656 eval-mlogloss:0.530088
[283] train-mlogloss:0.470397 eval-mlogloss:0.529855
[284] train-mlogloss:0.469990 eval-mlogloss:0.529730
[285] train-mlogloss:0.469631 eval-mlogloss:0.529473
[286] train-mlogloss:0.469319 eval-mlogloss:0.529286
[287] train-mlogloss:0.468984 eval-mlogloss:0.529063
[288] train-mlogloss:0.468666 eval-mlogloss:0.529010
[289] train-mlogloss:0.468345 eval-mlogloss:0.528871
[290] train-mlogloss:0.467937 eval-mlogloss:0.528447
[291] train-mlogloss:0.467598 eval-mlogloss:0.528604
[292] train-mlogloss:0.467314 eval-mlogloss:0.528396
[293] train-mlogloss:0.467056 eval-mlogloss:0.528290
[294] train-mlogloss:0.466689 eval-mlogloss:0.528033
[295] train-mlogloss:0.466450 eval-mlogloss:0.527974
[296] train-mlogloss:0.466141 eval-mlogloss:0.527976
[297] train-mlogloss:0.465857 eval-mlogloss:0.528035
[298] train-mlogloss:0.465582 eval-mlogloss:0.527863
[299] train-mlogloss:0.465290 eval-mlogloss:0.527875
[300] train-mlogloss:0.465025 eval-mlogloss:0.527738
[301] train-mlogloss:0.464610 eval-mlogloss:0.527417
[302] train-mlogloss:0.464268 eval-mlogloss:0.527212
[303] train-mlogloss:0.463979 eval-mlogloss:0.526803
[304] train-mlogloss:0.463645 eval-mlogloss:0.526729
[305] train-mlogloss:0.463391 eval-mlogloss:0.526448
[306] train-mlogloss:0.463150 eval-mlogloss:0.526307
[307] train-mlogloss:0.462888 eval-mlogloss:0.526081
[308] train-mlogloss:0.462660 eval-mlogloss:0.525897
[309] train-mlogloss:0.462421 eval-mlogloss:0.525756
[310] train-mlogloss:0.462140 eval-mlogloss:0.525617
[311] train-mlogloss:0.461907 eval-mlogloss:0.525780
[312] train-mlogloss:0.461659 eval-mlogloss:0.525830
[313] train-mlogloss:0.461415 eval-mlogloss:0.525657
[314] train-mlogloss:0.461087 eval-mlogloss:0.525479
[315] train-mlogloss:0.460805 eval-mlogloss:0.525280
[316] train-mlogloss:0.460507 eval-mlogloss:0.525256
[317] train-mlogloss:0.460280 eval-mlogloss:0.525228
[318] train-mlogloss:0.460016 eval-mlogloss:0.525527
[319] train-mlogloss:0.459739 eval-mlogloss:0.525385
[320] train-mlogloss:0.459456 eval-mlogloss:0.525336
[321] train-mlogloss:0.459254 eval-mlogloss:0.525217
[322] train-mlogloss:0.459070 eval-mlogloss:0.525068
[323] train-mlogloss:0.458840 eval-mlogloss:0.525101
[324] train-mlogloss:0.458621 eval-mlogloss:0.524981
[325] train-mlogloss:0.458236 eval-mlogloss:0.524984
[326] train-mlogloss:0.457973 eval-mlogloss:0.524863
[327] train-mlogloss:0.457700 eval-mlogloss:0.524896
[328] train-mlogloss:0.457423 eval-mlogloss:0.524811
[329] train-mlogloss:0.457165 eval-mlogloss:0.524972
[330] train-mlogloss:0.456876 eval-mlogloss:0.524775
[331] train-mlogloss:0.456608 eval-mlogloss:0.524672
[332] train-mlogloss:0.456387 eval-mlogloss:0.524843
[333] train-mlogloss:0.456032 eval-mlogloss:0.524742
[334] train-mlogloss:0.455787 eval-mlogloss:0.524781
[335] train-mlogloss:0.455522 eval-mlogloss:0.524835
[336] train-mlogloss:0.455280 eval-mlogloss:0.524924
[337] train-mlogloss:0.454979 eval-mlogloss:0.524626
[338] train-mlogloss:0.454576 eval-mlogloss:0.524378
[339] train-mlogloss:0.454188 eval-mlogloss:0.524304
[340] train-mlogloss:0.453906 eval-mlogloss:0.524010
[341] train-mlogloss:0.453624 eval-mlogloss:0.523873
[342] train-mlogloss:0.453441 eval-mlogloss:0.523921
[343] train-mlogloss:0.453078 eval-mlogloss:0.523927
[344] train-mlogloss:0.452759 eval-mlogloss:0.523896
[345] train-mlogloss:0.452451 eval-mlogloss:0.523622
[346] train-mlogloss:0.452213 eval-mlogloss:0.523474
[347] train-mlogloss:0.451884 eval-mlogloss:0.523141
[348] train-mlogloss:0.451618 eval-mlogloss:0.522952
[349] train-mlogloss:0.451363 eval-mlogloss:0.522916
[350] train-mlogloss:0.451180 eval-mlogloss:0.522883
[351] train-mlogloss:0.450982 eval-mlogloss:0.522868
[352] train-mlogloss:0.450717 eval-mlogloss:0.522705
[353] train-mlogloss:0.450438 eval-mlogloss:0.522723
[354] train-mlogloss:0.450185 eval-mlogloss:0.522692
[355] train-mlogloss:0.449959 eval-mlogloss:0.522451
[356] train-mlogloss:0.449716 eval-mlogloss:0.522441
[357] train-mlogloss:0.449432 eval-mlogloss:0.522211
[358] train-mlogloss:0.449262 eval-mlogloss:0.522232
[359] train-mlogloss:0.448873 eval-mlogloss:0.521865
[360] train-mlogloss:0.448684 eval-mlogloss:0.521932
[361] train-mlogloss:0.448478 eval-mlogloss:0.521890
[362] train-mlogloss:0.448294 eval-mlogloss:0.521832
[363] train-mlogloss:0.448094 eval-mlogloss:0.521957
[364] train-mlogloss:0.447847 eval-mlogloss:0.521970
[365] train-mlogloss:0.447650 eval-mlogloss:0.521831
[366] train-mlogloss:0.447405 eval-mlogloss:0.521621
[367] train-mlogloss:0.447206 eval-mlogloss:0.521525
[368] train-mlogloss:0.446922 eval-mlogloss:0.521568
[369] train-mlogloss:0.446676 eval-mlogloss:0.521386
[370] train-mlogloss:0.446443 eval-mlogloss:0.521321
[371] train-mlogloss:0.446110 eval-mlogloss:0.521075
[372] train-mlogloss:0.445870 eval-mlogloss:0.520857
[373] train-mlogloss:0.445622 eval-mlogloss:0.520828
[374] train-mlogloss:0.445358 eval-mlogloss:0.520705
[375] train-mlogloss:0.445166 eval-mlogloss:0.520695
[376] train-mlogloss:0.444947 eval-mlogloss:0.520450
[377] train-mlogloss:0.444663 eval-mlogloss:0.520237
[378] train-mlogloss:0.444399 eval-mlogloss:0.520001
[379] train-mlogloss:0.444210 eval-mlogloss:0.519816
[380] train-mlogloss:0.443998 eval-mlogloss:0.519659
[381] train-mlogloss:0.443761 eval-mlogloss:0.519668
[382] train-mlogloss:0.443493 eval-mlogloss:0.519856
[383] train-mlogloss:0.443223 eval-mlogloss:0.519666
[384] train-mlogloss:0.443001 eval-mlogloss:0.519508
[385] train-mlogloss:0.442763 eval-mlogloss:0.519349
[386] train-mlogloss:0.442567 eval-mlogloss:0.519252
[387] train-mlogloss:0.442348 eval-mlogloss:0.519355
[388] train-mlogloss:0.442183 eval-mlogloss:0.519245
[389] train-mlogloss:0.441950 eval-mlogloss:0.519315
[390] train-mlogloss:0.441790 eval-mlogloss:0.519410
[391] train-mlogloss:0.441538 eval-mlogloss:0.519400
[392] train-mlogloss:0.441323 eval-mlogloss:0.519340
[393] train-mlogloss:0.441147 eval-mlogloss:0.519287
[394] train-mlogloss:0.440943 eval-mlogloss:0.519192
[395] train-mlogloss:0.440644 eval-mlogloss:0.519240
[396] train-mlogloss:0.440393 eval-mlogloss:0.519250
[397] train-mlogloss:0.440164 eval-mlogloss:0.519213
[398] train-mlogloss:0.439884 eval-mlogloss:0.519277
[399] train-mlogloss:0.439727 eval-mlogloss:0.519233
[400] train-mlogloss:0.439533 eval-mlogloss:0.519230
[401] train-mlogloss:0.439226 eval-mlogloss:0.518981
[402] train-mlogloss:0.439004 eval-mlogloss:0.518955
[403] train-mlogloss:0.438777 eval-mlogloss:0.518982
[404] train-mlogloss:0.438533 eval-mlogloss:0.518885
[405] train-mlogloss:0.438280 eval-mlogloss:0.518884
[406] train-mlogloss:0.437847 eval-mlogloss:0.518464
[407] train-mlogloss:0.437596 eval-mlogloss:0.518381
[408] train-mlogloss:0.437334 eval-mlogloss:0.518330
[409] train-mlogloss:0.437047 eval-mlogloss:0.518210
[410] train-mlogloss:0.436795 eval-mlogloss:0.517974
[411] train-mlogloss:0.436604 eval-mlogloss:0.518048
[412] train-mlogloss:0.436318 eval-mlogloss:0.517848
[413] train-mlogloss:0.436114 eval-mlogloss:0.517825
[414] train-mlogloss:0.435919 eval-mlogloss:0.517681
[415] train-mlogloss:0.435678 eval-mlogloss:0.517510
[416] train-mlogloss:0.435492 eval-mlogloss:0.517416
[417] train-mlogloss:0.435335 eval-mlogloss:0.517595
[418] train-mlogloss:0.435089 eval-mlogloss:0.517845
[419] train-mlogloss:0.434907 eval-mlogloss:0.517649
[420] train-mlogloss:0.434687 eval-mlogloss:0.517417
[421] train-mlogloss:0.434558 eval-mlogloss:0.517368
[422] train-mlogloss:0.434235 eval-mlogloss:0.517161
[423] train-mlogloss:0.433999 eval-mlogloss:0.517056
[424] train-mlogloss:0.433807 eval-mlogloss:0.517028
[425] train-mlogloss:0.433616 eval-mlogloss:0.517081
[426] train-mlogloss:0.433305 eval-mlogloss:0.517178
[427] train-mlogloss:0.433141 eval-mlogloss:0.517085
[428] train-mlogloss:0.432951 eval-mlogloss:0.517028
[429] train-mlogloss:0.432658 eval-mlogloss:0.517016
[430] train-mlogloss:0.432407 eval-mlogloss:0.517044
[431] train-mlogloss:0.432254 eval-mlogloss:0.517077
[432] train-mlogloss:0.432031 eval-mlogloss:0.517141
[433] train-mlogloss:0.431856 eval-mlogloss:0.517213
[434] train-mlogloss:0.431631 eval-mlogloss:0.517055
[435] train-mlogloss:0.431477 eval-mlogloss:0.517248
[436] train-mlogloss:0.431280 eval-mlogloss:0.517118
[437] train-mlogloss:0.431117 eval-mlogloss:0.517074
[438] train-mlogloss:0.430943 eval-mlogloss:0.517058
[439] train-mlogloss:0.430784 eval-mlogloss:0.516888
[440] train-mlogloss:0.430611 eval-mlogloss:0.516885
[441] train-mlogloss:0.430399 eval-mlogloss:0.516814
[442] train-mlogloss:0.430096 eval-mlogloss:0.516997
[443] train-mlogloss:0.429873 eval-mlogloss:0.516873
[444] train-mlogloss:0.429671 eval-mlogloss:0.516744
[445] train-mlogloss:0.429437 eval-mlogloss:0.516587
[446] train-mlogloss:0.429146 eval-mlogloss:0.516664
[447] train-mlogloss:0.428936 eval-mlogloss:0.516612
[448] train-mlogloss:0.428703 eval-mlogloss:0.516683
[449] train-mlogloss:0.428494 eval-mlogloss:0.516674
[450] train-mlogloss:0.428318 eval-mlogloss:0.516622
[451] train-mlogloss:0.428106 eval-mlogloss:0.516658
[452] train-mlogloss:0.428008 eval-mlogloss:0.516702
[453] train-mlogloss:0.427707 eval-mlogloss:0.516660
[454] train-mlogloss:0.427527 eval-mlogloss:0.516561
[455] train-mlogloss:0.427319 eval-mlogloss:0.516619
[456] train-mlogloss:0.427087 eval-mlogloss:0.516339
[457] train-mlogloss:0.426879 eval-mlogloss:0.516494
[458] train-mlogloss:0.426686 eval-mlogloss:0.516684
[459] train-mlogloss:0.426493 eval-mlogloss:0.516553
[460] train-mlogloss:0.426296 eval-mlogloss:0.516517
[461] train-mlogloss:0.426097 eval-mlogloss:0.516658
[462] train-mlogloss:0.425849 eval-mlogloss:0.516351
[463] train-mlogloss:0.425639 eval-mlogloss:0.516346
[464] train-mlogloss:0.425417 eval-mlogloss:0.516181
[465] train-mlogloss:0.425221 eval-mlogloss:0.516016
[466] train-mlogloss:0.424966 eval-mlogloss:0.515941
[467] train-mlogloss:0.424820 eval-mlogloss:0.515884
[468] train-mlogloss:0.424641 eval-mlogloss:0.515741
[469] train-mlogloss:0.424382 eval-mlogloss:0.515678
[470] train-mlogloss:0.424214 eval-mlogloss:0.515522
[471] train-mlogloss:0.423990 eval-mlogloss:0.515517
[472] train-mlogloss:0.423783 eval-mlogloss:0.515393
[473] train-mlogloss:0.423630 eval-mlogloss:0.515326
[474] train-mlogloss:0.423421 eval-mlogloss:0.515270
[475] train-mlogloss:0.423202 eval-mlogloss:0.515231
[476] train-mlogloss:0.422879 eval-mlogloss:0.515368
[477] train-mlogloss:0.422625 eval-mlogloss:0.515208
[478] train-mlogloss:0.422418 eval-mlogloss:0.515028
[479] train-mlogloss:0.422267 eval-mlogloss:0.515126
[480] train-mlogloss:0.422151 eval-mlogloss:0.514982
[481] train-mlogloss:0.421929 eval-mlogloss:0.514875
[482] train-mlogloss:0.421759 eval-mlogloss:0.514811
[483] train-mlogloss:0.421588 eval-mlogloss:0.514775
[484] train-mlogloss:0.421394 eval-mlogloss:0.514707
[485] train-mlogloss:0.421193 eval-mlogloss:0.514873
[486] train-mlogloss:0.421021 eval-mlogloss:0.514836
[487] train-mlogloss:0.420846 eval-mlogloss:0.514654
[488] train-mlogloss:0.420626 eval-mlogloss:0.514663
[489] train-mlogloss:0.420328 eval-mlogloss:0.514618
[490] train-mlogloss:0.420064 eval-mlogloss:0.514703
[491] train-mlogloss:0.419960 eval-mlogloss:0.514613
[492] train-mlogloss:0.419736 eval-mlogloss:0.514522
[493] train-mlogloss:0.419605 eval-mlogloss:0.514709
[494] train-mlogloss:0.419357 eval-mlogloss:0.514953
[495] train-mlogloss:0.419181 eval-mlogloss:0.514928
[496] train-mlogloss:0.418981 eval-mlogloss:0.515147
[497] train-mlogloss:0.418790 eval-mlogloss:0.514998
[498] train-mlogloss:0.418538 eval-mlogloss:0.515009
[499] train-mlogloss:0.418318 eval-mlogloss:0.514944
Training with params :
{'eta': 0.35000000000000003, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 2.0, 'silent': 1, 'subsample': 0.6000000000000001, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.5149439361604066
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.695885 eval-mlogloss:1.705046
[1] train-mlogloss:1.465099 eval-mlogloss:1.480672
[2] train-mlogloss:1.293726 eval-mlogloss:1.313949
[3] train-mlogloss:1.159820 eval-mlogloss:1.183720
[4] train-mlogloss:1.053341 eval-mlogloss:1.081189
[5] train-mlogloss:0.970895 eval-mlogloss:1.001979
[6] train-mlogloss:0.907798 eval-mlogloss:0.941864
[7] train-mlogloss:0.851640 eval-mlogloss:0.888679
[8] train-mlogloss:0.805456 eval-mlogloss:0.845810
[9] train-mlogloss:0.764958 eval-mlogloss:0.807900
[10] train-mlogloss:0.728888 eval-mlogloss:0.774749
[11] train-mlogloss:0.698224 eval-mlogloss:0.746461
[12] train-mlogloss:0.671658 eval-mlogloss:0.722378
[13] train-mlogloss:0.647346 eval-mlogloss:0.700704
[14] train-mlogloss:0.627029 eval-mlogloss:0.682859
[15] train-mlogloss:0.608227 eval-mlogloss:0.667043
[16] train-mlogloss:0.592360 eval-mlogloss:0.653852
[17] train-mlogloss:0.578232 eval-mlogloss:0.642105
[18] train-mlogloss:0.564703 eval-mlogloss:0.631376
[19] train-mlogloss:0.552748 eval-mlogloss:0.621632
[20] train-mlogloss:0.541055 eval-mlogloss:0.612471
[21] train-mlogloss:0.531630 eval-mlogloss:0.604330
[22] train-mlogloss:0.521971 eval-mlogloss:0.597666
[23] train-mlogloss:0.513966 eval-mlogloss:0.591315
[24] train-mlogloss:0.506534 eval-mlogloss:0.585468
[25] train-mlogloss:0.498514 eval-mlogloss:0.579524
[26] train-mlogloss:0.492030 eval-mlogloss:0.574698
[27] train-mlogloss:0.484834 eval-mlogloss:0.569802
[28] train-mlogloss:0.479607 eval-mlogloss:0.565978
[29] train-mlogloss:0.474149 eval-mlogloss:0.561933
[30] train-mlogloss:0.468881 eval-mlogloss:0.557980
[31] train-mlogloss:0.463074 eval-mlogloss:0.554186
[32] train-mlogloss:0.458325 eval-mlogloss:0.550900
[33] train-mlogloss:0.453543 eval-mlogloss:0.547643
[34] train-mlogloss:0.448047 eval-mlogloss:0.544260
[35] train-mlogloss:0.443722 eval-mlogloss:0.541289
[36] train-mlogloss:0.439280 eval-mlogloss:0.538254
[37] train-mlogloss:0.434725 eval-mlogloss:0.535725
[38] train-mlogloss:0.429871 eval-mlogloss:0.533369
[39] train-mlogloss:0.425973 eval-mlogloss:0.531070
[40] train-mlogloss:0.422180 eval-mlogloss:0.528853
[41] train-mlogloss:0.419041 eval-mlogloss:0.526847
[42] train-mlogloss:0.415286 eval-mlogloss:0.525439
[43] train-mlogloss:0.412042 eval-mlogloss:0.523537
[44] train-mlogloss:0.408552 eval-mlogloss:0.521896
[45] train-mlogloss:0.404317 eval-mlogloss:0.520131
[46] train-mlogloss:0.402098 eval-mlogloss:0.518703
[47] train-mlogloss:0.398959 eval-mlogloss:0.517391
[48] train-mlogloss:0.395519 eval-mlogloss:0.516203
[49] train-mlogloss:0.393052 eval-mlogloss:0.515036
[50] train-mlogloss:0.390414 eval-mlogloss:0.513448
[51] train-mlogloss:0.386968 eval-mlogloss:0.511733
[52] train-mlogloss:0.384895 eval-mlogloss:0.510335
[53] train-mlogloss:0.382543 eval-mlogloss:0.509250
[54] train-mlogloss:0.380431 eval-mlogloss:0.508388
[55] train-mlogloss:0.377665 eval-mlogloss:0.507284
[56] train-mlogloss:0.374943 eval-mlogloss:0.506115
[57] train-mlogloss:0.372901 eval-mlogloss:0.504899
[58] train-mlogloss:0.370554 eval-mlogloss:0.503831
[59] train-mlogloss:0.368245 eval-mlogloss:0.502953
[60] train-mlogloss:0.365886 eval-mlogloss:0.501883
[61] train-mlogloss:0.363120 eval-mlogloss:0.501223
[62] train-mlogloss:0.360738 eval-mlogloss:0.500512
[63] train-mlogloss:0.358412 eval-mlogloss:0.499607
[64] train-mlogloss:0.356368 eval-mlogloss:0.498602
[65] train-mlogloss:0.354658 eval-mlogloss:0.498098
[66] train-mlogloss:0.352408 eval-mlogloss:0.497264
[67] train-mlogloss:0.350039 eval-mlogloss:0.496476
[68] train-mlogloss:0.348030 eval-mlogloss:0.495373
[69] train-mlogloss:0.345806 eval-mlogloss:0.494712
[70] train-mlogloss:0.344196 eval-mlogloss:0.494207
[71] train-mlogloss:0.342085 eval-mlogloss:0.493462
[72] train-mlogloss:0.340432 eval-mlogloss:0.492846
[73] train-mlogloss:0.338410 eval-mlogloss:0.492277
[74] train-mlogloss:0.336550 eval-mlogloss:0.491309
[75] train-mlogloss:0.334326 eval-mlogloss:0.490668
[76] train-mlogloss:0.332365 eval-mlogloss:0.490217
[77] train-mlogloss:0.330253 eval-mlogloss:0.489327
[78] train-mlogloss:0.328571 eval-mlogloss:0.488699
[79] train-mlogloss:0.327049 eval-mlogloss:0.488249
[80] train-mlogloss:0.324571 eval-mlogloss:0.487606
[81] train-mlogloss:0.322969 eval-mlogloss:0.487456
[82] train-mlogloss:0.321449 eval-mlogloss:0.487153
[83] train-mlogloss:0.319773 eval-mlogloss:0.486474
[84] train-mlogloss:0.317876 eval-mlogloss:0.486114
[85] train-mlogloss:0.316375 eval-mlogloss:0.485582
[86] train-mlogloss:0.314587 eval-mlogloss:0.485275
[87] train-mlogloss:0.312734 eval-mlogloss:0.485056
[88] train-mlogloss:0.311023 eval-mlogloss:0.484796
[89] train-mlogloss:0.309412 eval-mlogloss:0.484528
[90] train-mlogloss:0.308048 eval-mlogloss:0.483674
[91] train-mlogloss:0.306407 eval-mlogloss:0.483362
[92] train-mlogloss:0.304431 eval-mlogloss:0.482695
[93] train-mlogloss:0.302691 eval-mlogloss:0.482308
[94] train-mlogloss:0.301502 eval-mlogloss:0.482049
[95] train-mlogloss:0.299895 eval-mlogloss:0.481569
[96] train-mlogloss:0.298690 eval-mlogloss:0.481343
[97] train-mlogloss:0.296805 eval-mlogloss:0.480699
[98] train-mlogloss:0.295545 eval-mlogloss:0.480618
[99] train-mlogloss:0.294168 eval-mlogloss:0.480577
[100] train-mlogloss:0.292949 eval-mlogloss:0.480156
[101] train-mlogloss:0.291518 eval-mlogloss:0.479998
[102] train-mlogloss:0.289708 eval-mlogloss:0.479799
[103] train-mlogloss:0.288523 eval-mlogloss:0.479735
[104] train-mlogloss:0.287144 eval-mlogloss:0.479141
[105] train-mlogloss:0.285803 eval-mlogloss:0.478892
[106] train-mlogloss:0.284318 eval-mlogloss:0.478474
[107] train-mlogloss:0.282867 eval-mlogloss:0.478340
[108] train-mlogloss:0.281252 eval-mlogloss:0.477923
[109] train-mlogloss:0.279867 eval-mlogloss:0.477588
[110] train-mlogloss:0.278392 eval-mlogloss:0.477486
[111] train-mlogloss:0.277497 eval-mlogloss:0.477496
[112] train-mlogloss:0.275866 eval-mlogloss:0.477290
[113] train-mlogloss:0.274474 eval-mlogloss:0.476727
[114] train-mlogloss:0.272936 eval-mlogloss:0.476751
[115] train-mlogloss:0.271230 eval-mlogloss:0.476857
[116] train-mlogloss:0.269973 eval-mlogloss:0.476770
[117] train-mlogloss:0.268451 eval-mlogloss:0.476556
[118] train-mlogloss:0.267084 eval-mlogloss:0.476327
[119] train-mlogloss:0.265629 eval-mlogloss:0.476245
[120] train-mlogloss:0.264553 eval-mlogloss:0.475780
[121] train-mlogloss:0.263474 eval-mlogloss:0.475754
[122] train-mlogloss:0.262476 eval-mlogloss:0.475399
[123] train-mlogloss:0.261278 eval-mlogloss:0.475050
[124] train-mlogloss:0.260086 eval-mlogloss:0.475043
[125] train-mlogloss:0.258529 eval-mlogloss:0.475034
[126] train-mlogloss:0.257674 eval-mlogloss:0.474773
[127] train-mlogloss:0.256493 eval-mlogloss:0.474652
[128] train-mlogloss:0.255661 eval-mlogloss:0.474706
[129] train-mlogloss:0.254494 eval-mlogloss:0.474556
[130] train-mlogloss:0.253427 eval-mlogloss:0.474300
[131] train-mlogloss:0.252288 eval-mlogloss:0.474054
[132] train-mlogloss:0.251272 eval-mlogloss:0.473775
[133] train-mlogloss:0.250100 eval-mlogloss:0.473765
[134] train-mlogloss:0.248844 eval-mlogloss:0.473525
[135] train-mlogloss:0.247725 eval-mlogloss:0.473497
[136] train-mlogloss:0.246878 eval-mlogloss:0.473452
[137] train-mlogloss:0.245910 eval-mlogloss:0.473344
[138] train-mlogloss:0.244877 eval-mlogloss:0.473050
[139] train-mlogloss:0.243905 eval-mlogloss:0.472892
[140] train-mlogloss:0.243159 eval-mlogloss:0.472777
[141] train-mlogloss:0.242006 eval-mlogloss:0.472477
[142] train-mlogloss:0.241036 eval-mlogloss:0.472422
[143] train-mlogloss:0.240178 eval-mlogloss:0.472474
[144] train-mlogloss:0.239043 eval-mlogloss:0.472195
[145] train-mlogloss:0.238107 eval-mlogloss:0.472061
[146] train-mlogloss:0.237135 eval-mlogloss:0.471908
[147] train-mlogloss:0.235695 eval-mlogloss:0.471546
[148] train-mlogloss:0.234572 eval-mlogloss:0.471413
[149] train-mlogloss:0.233643 eval-mlogloss:0.471262
[150] train-mlogloss:0.232717 eval-mlogloss:0.471130
[151] train-mlogloss:0.231764 eval-mlogloss:0.471225
[152] train-mlogloss:0.230831 eval-mlogloss:0.471260
[153] train-mlogloss:0.230053 eval-mlogloss:0.471087
[154] train-mlogloss:0.228901 eval-mlogloss:0.470789
[155] train-mlogloss:0.227798 eval-mlogloss:0.470946
[156] train-mlogloss:0.226612 eval-mlogloss:0.470786
[157] train-mlogloss:0.225863 eval-mlogloss:0.470482
[158] train-mlogloss:0.224880 eval-mlogloss:0.470583
[159] train-mlogloss:0.223827 eval-mlogloss:0.470707
[160] train-mlogloss:0.222903 eval-mlogloss:0.470711
[161] train-mlogloss:0.222175 eval-mlogloss:0.470716
[162] train-mlogloss:0.221174 eval-mlogloss:0.470887
[163] train-mlogloss:0.220251 eval-mlogloss:0.470766
[164] train-mlogloss:0.219530 eval-mlogloss:0.470596
[165] train-mlogloss:0.218545 eval-mlogloss:0.470511
[166] train-mlogloss:0.217443 eval-mlogloss:0.470590
Training with params :
{'eta': 0.225, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.75, 'max_depth': 7.0, 'silent': 1, 'subsample': 0.55, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.47078172742903357
[167] train-mlogloss:0.216624 eval-mlogloss:0.470782
Stopping. Best iteration:
[157] train-mlogloss:0.225863 eval-mlogloss:0.470482
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.650545 eval-mlogloss:1.655217
[1] train-mlogloss:1.409126 eval-mlogloss:1.413793
[2] train-mlogloss:1.249819 eval-mlogloss:1.255311
[3] train-mlogloss:1.134947 eval-mlogloss:1.140627
[4] train-mlogloss:1.044122 eval-mlogloss:1.049959
[5] train-mlogloss:0.973380 eval-mlogloss:0.980229
[6] train-mlogloss:0.918091 eval-mlogloss:0.925784
[7] train-mlogloss:0.872032 eval-mlogloss:0.881279
[8] train-mlogloss:0.834087 eval-mlogloss:0.844200
[9] train-mlogloss:0.804258 eval-mlogloss:0.814343
[10] train-mlogloss:0.776872 eval-mlogloss:0.788327
[11] train-mlogloss:0.753789 eval-mlogloss:0.766531
[12] train-mlogloss:0.733826 eval-mlogloss:0.747358
[13] train-mlogloss:0.717139 eval-mlogloss:0.731597
[14] train-mlogloss:0.701132 eval-mlogloss:0.716111
[15] train-mlogloss:0.686436 eval-mlogloss:0.702333
[16] train-mlogloss:0.672709 eval-mlogloss:0.689126
[17] train-mlogloss:0.660899 eval-mlogloss:0.678759
[18] train-mlogloss:0.650368 eval-mlogloss:0.669571
[19] train-mlogloss:0.640997 eval-mlogloss:0.661660
[20] train-mlogloss:0.631989 eval-mlogloss:0.653693
[21] train-mlogloss:0.623515 eval-mlogloss:0.645834
[22] train-mlogloss:0.615956 eval-mlogloss:0.639326
[23] train-mlogloss:0.609193 eval-mlogloss:0.634027
[24] train-mlogloss:0.602733 eval-mlogloss:0.628635
[25] train-mlogloss:0.596351 eval-mlogloss:0.623059
[26] train-mlogloss:0.590966 eval-mlogloss:0.618725
[27] train-mlogloss:0.585720 eval-mlogloss:0.614881
[28] train-mlogloss:0.580478 eval-mlogloss:0.611011
[29] train-mlogloss:0.575608 eval-mlogloss:0.606775
[30] train-mlogloss:0.570554 eval-mlogloss:0.602697
[31] train-mlogloss:0.566052 eval-mlogloss:0.598786
[32] train-mlogloss:0.561601 eval-mlogloss:0.595271
[33] train-mlogloss:0.557443 eval-mlogloss:0.592273
[34] train-mlogloss:0.553600 eval-mlogloss:0.589444
[35] train-mlogloss:0.549914 eval-mlogloss:0.586926
[36] train-mlogloss:0.546231 eval-mlogloss:0.583784
[37] train-mlogloss:0.542825 eval-mlogloss:0.580829
[38] train-mlogloss:0.539245 eval-mlogloss:0.578028
[39] train-mlogloss:0.535819 eval-mlogloss:0.575755
[40] train-mlogloss:0.532826 eval-mlogloss:0.573579
[41] train-mlogloss:0.529678 eval-mlogloss:0.571726
[42] train-mlogloss:0.526761 eval-mlogloss:0.569922
[43] train-mlogloss:0.524031 eval-mlogloss:0.568188
[44] train-mlogloss:0.521167 eval-mlogloss:0.566006
[45] train-mlogloss:0.518238 eval-mlogloss:0.563777
[46] train-mlogloss:0.515643 eval-mlogloss:0.561698
[47] train-mlogloss:0.513470 eval-mlogloss:0.560431
[48] train-mlogloss:0.511023 eval-mlogloss:0.559206
[49] train-mlogloss:0.508572 eval-mlogloss:0.557903
[50] train-mlogloss:0.506158 eval-mlogloss:0.556586
[51] train-mlogloss:0.504016 eval-mlogloss:0.555045
[52] train-mlogloss:0.501359 eval-mlogloss:0.553620
[53] train-mlogloss:0.498580 eval-mlogloss:0.552061
[54] train-mlogloss:0.496489 eval-mlogloss:0.550828
[55] train-mlogloss:0.494435 eval-mlogloss:0.549298
[56] train-mlogloss:0.492143 eval-mlogloss:0.547690
[57] train-mlogloss:0.490373 eval-mlogloss:0.546654
[58] train-mlogloss:0.488512 eval-mlogloss:0.545192
[59] train-mlogloss:0.486567 eval-mlogloss:0.543745
[60] train-mlogloss:0.484450 eval-mlogloss:0.542622
[61] train-mlogloss:0.482204 eval-mlogloss:0.541711
[62] train-mlogloss:0.480379 eval-mlogloss:0.540569
[63] train-mlogloss:0.478396 eval-mlogloss:0.539581
[64] train-mlogloss:0.476880 eval-mlogloss:0.538777
[65] train-mlogloss:0.474921 eval-mlogloss:0.537494
[66] train-mlogloss:0.473335 eval-mlogloss:0.536652
[67] train-mlogloss:0.471451 eval-mlogloss:0.535574
[68] train-mlogloss:0.469491 eval-mlogloss:0.534385
[69] train-mlogloss:0.467688 eval-mlogloss:0.533434
[70] train-mlogloss:0.465968 eval-mlogloss:0.532397
[71] train-mlogloss:0.464211 eval-mlogloss:0.531490
[72] train-mlogloss:0.462396 eval-mlogloss:0.530317
[73] train-mlogloss:0.460830 eval-mlogloss:0.529428
[74] train-mlogloss:0.459263 eval-mlogloss:0.528664
[75] train-mlogloss:0.457491 eval-mlogloss:0.527681
[76] train-mlogloss:0.455862 eval-mlogloss:0.526678
[77] train-mlogloss:0.453963 eval-mlogloss:0.526208
[78] train-mlogloss:0.452459 eval-mlogloss:0.525835
[79] train-mlogloss:0.450899 eval-mlogloss:0.525245
[80] train-mlogloss:0.449126 eval-mlogloss:0.524058
[81] train-mlogloss:0.447878 eval-mlogloss:0.523543
[82] train-mlogloss:0.446247 eval-mlogloss:0.522658
[83] train-mlogloss:0.444566 eval-mlogloss:0.522055
[84] train-mlogloss:0.443193 eval-mlogloss:0.521291
[85] train-mlogloss:0.441613 eval-mlogloss:0.520463
[86] train-mlogloss:0.440316 eval-mlogloss:0.519535
[87] train-mlogloss:0.438717 eval-mlogloss:0.519159
[88] train-mlogloss:0.437353 eval-mlogloss:0.518550
[89] train-mlogloss:0.435829 eval-mlogloss:0.517634
[90] train-mlogloss:0.434359 eval-mlogloss:0.516844
[91] train-mlogloss:0.432952 eval-mlogloss:0.516285
[92] train-mlogloss:0.431685 eval-mlogloss:0.515595
[93] train-mlogloss:0.430449 eval-mlogloss:0.514800
[94] train-mlogloss:0.429219 eval-mlogloss:0.514288
[95] train-mlogloss:0.427774 eval-mlogloss:0.513815
[96] train-mlogloss:0.426673 eval-mlogloss:0.513461
[97] train-mlogloss:0.425200 eval-mlogloss:0.512650
[98] train-mlogloss:0.424089 eval-mlogloss:0.511908
[99] train-mlogloss:0.422805 eval-mlogloss:0.511449
[100] train-mlogloss:0.421506 eval-mlogloss:0.511042
[101] train-mlogloss:0.419995 eval-mlogloss:0.510240
[102] train-mlogloss:0.418822 eval-mlogloss:0.509858
[103] train-mlogloss:0.417684 eval-mlogloss:0.509179
[104] train-mlogloss:0.416644 eval-mlogloss:0.508789
[105] train-mlogloss:0.415349 eval-mlogloss:0.508256
[106] train-mlogloss:0.414466 eval-mlogloss:0.507887
[107] train-mlogloss:0.413326 eval-mlogloss:0.507868
[108] train-mlogloss:0.412078 eval-mlogloss:0.507419
[109] train-mlogloss:0.410797 eval-mlogloss:0.507193
[110] train-mlogloss:0.409609 eval-mlogloss:0.506602
[111] train-mlogloss:0.408327 eval-mlogloss:0.506238
[112] train-mlogloss:0.407111 eval-mlogloss:0.505745
[113] train-mlogloss:0.405912 eval-mlogloss:0.505571
[114] train-mlogloss:0.404898 eval-mlogloss:0.505525
[115] train-mlogloss:0.403788 eval-mlogloss:0.504958
[116] train-mlogloss:0.402847 eval-mlogloss:0.504593
[117] train-mlogloss:0.401873 eval-mlogloss:0.504138
[118] train-mlogloss:0.400952 eval-mlogloss:0.503848
[119] train-mlogloss:0.399869 eval-mlogloss:0.503520
[120] train-mlogloss:0.399046 eval-mlogloss:0.503208
[121] train-mlogloss:0.398105 eval-mlogloss:0.503197
[122] train-mlogloss:0.396996 eval-mlogloss:0.502921
[123] train-mlogloss:0.395979 eval-mlogloss:0.502759
[124] train-mlogloss:0.394915 eval-mlogloss:0.502525
[125] train-mlogloss:0.393861 eval-mlogloss:0.502180
[126] train-mlogloss:0.393137 eval-mlogloss:0.501893
[127] train-mlogloss:0.392157 eval-mlogloss:0.501630
[128] train-mlogloss:0.391259 eval-mlogloss:0.501749
[129] train-mlogloss:0.390110 eval-mlogloss:0.501212
[130] train-mlogloss:0.389259 eval-mlogloss:0.501039
[131] train-mlogloss:0.388380 eval-mlogloss:0.500501
[132] train-mlogloss:0.387411 eval-mlogloss:0.500180
[133] train-mlogloss:0.386060 eval-mlogloss:0.499956
[134] train-mlogloss:0.385154 eval-mlogloss:0.499659
[135] train-mlogloss:0.384331 eval-mlogloss:0.499325
[136] train-mlogloss:0.383233 eval-mlogloss:0.498608
[137] train-mlogloss:0.382213 eval-mlogloss:0.498444
[138] train-mlogloss:0.381325 eval-mlogloss:0.498179
[139] train-mlogloss:0.380592 eval-mlogloss:0.497850
[140] train-mlogloss:0.379791 eval-mlogloss:0.497626
[141] train-mlogloss:0.378557 eval-mlogloss:0.497257
[142] train-mlogloss:0.377645 eval-mlogloss:0.497021
[143] train-mlogloss:0.376724 eval-mlogloss:0.496672
[144] train-mlogloss:0.375828 eval-mlogloss:0.496221
[145] train-mlogloss:0.374827 eval-mlogloss:0.495764
[146] train-mlogloss:0.373785 eval-mlogloss:0.495523
[147] train-mlogloss:0.373056 eval-mlogloss:0.495225
[148] train-mlogloss:0.372506 eval-mlogloss:0.494936
[149] train-mlogloss:0.371438 eval-mlogloss:0.494878
[150] train-mlogloss:0.370615 eval-mlogloss:0.494499
[151] train-mlogloss:0.369737 eval-mlogloss:0.494364
[152] train-mlogloss:0.368941 eval-mlogloss:0.493995
[153] train-mlogloss:0.368052 eval-mlogloss:0.493750
[154] train-mlogloss:0.367066 eval-mlogloss:0.493268
[155] train-mlogloss:0.366088 eval-mlogloss:0.493144
[156] train-mlogloss:0.365283 eval-mlogloss:0.493307
[157] train-mlogloss:0.364614 eval-mlogloss:0.493381
[158] train-mlogloss:0.363851 eval-mlogloss:0.493011
[159] train-mlogloss:0.363059 eval-mlogloss:0.492636
[160] train-mlogloss:0.362165 eval-mlogloss:0.492461
[161] train-mlogloss:0.361333 eval-mlogloss:0.492442
[162] train-mlogloss:0.360385 eval-mlogloss:0.491952
[163] train-mlogloss:0.359574 eval-mlogloss:0.491942
[164] train-mlogloss:0.358894 eval-mlogloss:0.491633
[165] train-mlogloss:0.358077 eval-mlogloss:0.491363
[166] train-mlogloss:0.357351 eval-mlogloss:0.491098
[167] train-mlogloss:0.356508 eval-mlogloss:0.490780
[168] train-mlogloss:0.355780 eval-mlogloss:0.490839
[169] train-mlogloss:0.354863 eval-mlogloss:0.490413
[170] train-mlogloss:0.354113 eval-mlogloss:0.490248
[171] train-mlogloss:0.353264 eval-mlogloss:0.490004
[172] train-mlogloss:0.352409 eval-mlogloss:0.489884
[173] train-mlogloss:0.351547 eval-mlogloss:0.489471
[174] train-mlogloss:0.350695 eval-mlogloss:0.489126
[175] train-mlogloss:0.350008 eval-mlogloss:0.488854
[176] train-mlogloss:0.349305 eval-mlogloss:0.488726
[177] train-mlogloss:0.348626 eval-mlogloss:0.488617
[178] train-mlogloss:0.347564 eval-mlogloss:0.488230
[179] train-mlogloss:0.346747 eval-mlogloss:0.488040
[180] train-mlogloss:0.345993 eval-mlogloss:0.487617
[181] train-mlogloss:0.345041 eval-mlogloss:0.487518
[182] train-mlogloss:0.344276 eval-mlogloss:0.487437
[183] train-mlogloss:0.343581 eval-mlogloss:0.487223
[184] train-mlogloss:0.342956 eval-mlogloss:0.487030
[185] train-mlogloss:0.342488 eval-mlogloss:0.486922
[186] train-mlogloss:0.341685 eval-mlogloss:0.486741
[187] train-mlogloss:0.341115 eval-mlogloss:0.486754
[188] train-mlogloss:0.340157 eval-mlogloss:0.486794
[189] train-mlogloss:0.339547 eval-mlogloss:0.486761
[190] train-mlogloss:0.338803 eval-mlogloss:0.486631
[191] train-mlogloss:0.338132 eval-mlogloss:0.486377
[192] train-mlogloss:0.337268 eval-mlogloss:0.486371
[193] train-mlogloss:0.336771 eval-mlogloss:0.486399
[194] train-mlogloss:0.336036 eval-mlogloss:0.486570
[195] train-mlogloss:0.335253 eval-mlogloss:0.486510
[196] train-mlogloss:0.334608 eval-mlogloss:0.486345
[197] train-mlogloss:0.333971 eval-mlogloss:0.486021
[198] train-mlogloss:0.333282 eval-mlogloss:0.485896
[199] train-mlogloss:0.332769 eval-mlogloss:0.485591
[200] train-mlogloss:0.332048 eval-mlogloss:0.485477
[201] train-mlogloss:0.331299 eval-mlogloss:0.485287
[202] train-mlogloss:0.330692 eval-mlogloss:0.485132
[203] train-mlogloss:0.329856 eval-mlogloss:0.485252
[204] train-mlogloss:0.329246 eval-mlogloss:0.485229
[205] train-mlogloss:0.328601 eval-mlogloss:0.484969
[206] train-mlogloss:0.327876 eval-mlogloss:0.485086
[207] train-mlogloss:0.327155 eval-mlogloss:0.485305
[208] train-mlogloss:0.326673 eval-mlogloss:0.485439
[209] train-mlogloss:0.325815 eval-mlogloss:0.485485
[210] train-mlogloss:0.325109 eval-mlogloss:0.485595
[211] train-mlogloss:0.324531 eval-mlogloss:0.485444
[212] train-mlogloss:0.323759 eval-mlogloss:0.485415
[213] train-mlogloss:0.323048 eval-mlogloss:0.485339
[214] train-mlogloss:0.322432 eval-mlogloss:0.485082
[215] train-mlogloss:0.321661 eval-mlogloss:0.484938
[216] train-mlogloss:0.320951 eval-mlogloss:0.484645
[217] train-mlogloss:0.320595 eval-mlogloss:0.484681
[218] train-mlogloss:0.320131 eval-mlogloss:0.484442
[219] train-mlogloss:0.319494 eval-mlogloss:0.484248
[220] train-mlogloss:0.318783 eval-mlogloss:0.484056
[221] train-mlogloss:0.318093 eval-mlogloss:0.483967
[222] train-mlogloss:0.317495 eval-mlogloss:0.483969
[223] train-mlogloss:0.316914 eval-mlogloss:0.483865
[224] train-mlogloss:0.316403 eval-mlogloss:0.483743
[225] train-mlogloss:0.315679 eval-mlogloss:0.483542
[226] train-mlogloss:0.315011 eval-mlogloss:0.483396
[227] train-mlogloss:0.314382 eval-mlogloss:0.483217
[228] train-mlogloss:0.313839 eval-mlogloss:0.483221
[229] train-mlogloss:0.313090 eval-mlogloss:0.482992
[230] train-mlogloss:0.312602 eval-mlogloss:0.482862
[231] train-mlogloss:0.311983 eval-mlogloss:0.482876
[232] train-mlogloss:0.311259 eval-mlogloss:0.482645
[233] train-mlogloss:0.310561 eval-mlogloss:0.482531
[234] train-mlogloss:0.309911 eval-mlogloss:0.482594
[235] train-mlogloss:0.309294 eval-mlogloss:0.482586
[236] train-mlogloss:0.308694 eval-mlogloss:0.482529
[237] train-mlogloss:0.308078 eval-mlogloss:0.482638
[238] train-mlogloss:0.307484 eval-mlogloss:0.482353
[239] train-mlogloss:0.306561 eval-mlogloss:0.481970
[240] train-mlogloss:0.305957 eval-mlogloss:0.481733
[241] train-mlogloss:0.305409 eval-mlogloss:0.481667
[242] train-mlogloss:0.304746 eval-mlogloss:0.481691
[243] train-mlogloss:0.304095 eval-mlogloss:0.481604
[244] train-mlogloss:0.303557 eval-mlogloss:0.481408
[245] train-mlogloss:0.302960 eval-mlogloss:0.481614
[246] train-mlogloss:0.302432 eval-mlogloss:0.481488
[247] train-mlogloss:0.301947 eval-mlogloss:0.481559
[248] train-mlogloss:0.301335 eval-mlogloss:0.481441
[249] train-mlogloss:0.300766 eval-mlogloss:0.481602
[250] train-mlogloss:0.300443 eval-mlogloss:0.481593
[251] train-mlogloss:0.299796 eval-mlogloss:0.481285
[252] train-mlogloss:0.299415 eval-mlogloss:0.481278
[253] train-mlogloss:0.298746 eval-mlogloss:0.481639
[254] train-mlogloss:0.298091 eval-mlogloss:0.481669
[255] train-mlogloss:0.297404 eval-mlogloss:0.481716
[256] train-mlogloss:0.296851 eval-mlogloss:0.481702
[257] train-mlogloss:0.296143 eval-mlogloss:0.481633
[258] train-mlogloss:0.295663 eval-mlogloss:0.481765
[259] train-mlogloss:0.295208 eval-mlogloss:0.481637
[260] train-mlogloss:0.294817 eval-mlogloss:0.481557
[261] train-mlogloss:0.294219 eval-mlogloss:0.481347
Training with params :
{'eta': 0.30000000000000004, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 4.0, 'silent': 1, 'subsample': 0.65, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.48149641387766257
[262] train-mlogloss:0.293724 eval-mlogloss:0.481496
Stopping. Best iteration:
[252] train-mlogloss:0.299415 eval-mlogloss:0.481278
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.756477 eval-mlogloss:1.769053
[1] train-mlogloss:1.509423 eval-mlogloss:1.532820
[2] train-mlogloss:1.332850 eval-mlogloss:1.364615
[3] train-mlogloss:1.195642 eval-mlogloss:1.235404
[4] train-mlogloss:1.086241 eval-mlogloss:1.132986
[5] train-mlogloss:0.995444 eval-mlogloss:1.049405
[6] train-mlogloss:0.919036 eval-mlogloss:0.979837
[7] train-mlogloss:0.854165 eval-mlogloss:0.921250
[8] train-mlogloss:0.800540 eval-mlogloss:0.873292
[9] train-mlogloss:0.751690 eval-mlogloss:0.830594
[10] train-mlogloss:0.710317 eval-mlogloss:0.794815
[11] train-mlogloss:0.674774 eval-mlogloss:0.764326
[12] train-mlogloss:0.642408 eval-mlogloss:0.736150
[13] train-mlogloss:0.613268 eval-mlogloss:0.711888
[14] train-mlogloss:0.588094 eval-mlogloss:0.691239
[15] train-mlogloss:0.564132 eval-mlogloss:0.671897
[16] train-mlogloss:0.544683 eval-mlogloss:0.655797
[17] train-mlogloss:0.525875 eval-mlogloss:0.640656
[18] train-mlogloss:0.509013 eval-mlogloss:0.628035
[19] train-mlogloss:0.495044 eval-mlogloss:0.617480
[20] train-mlogloss:0.480644 eval-mlogloss:0.606719
[21] train-mlogloss:0.469309 eval-mlogloss:0.598191
[22] train-mlogloss:0.457626 eval-mlogloss:0.589792
[23] train-mlogloss:0.446592 eval-mlogloss:0.582377
[24] train-mlogloss:0.437856 eval-mlogloss:0.575892
[25] train-mlogloss:0.428087 eval-mlogloss:0.569639
[26] train-mlogloss:0.420883 eval-mlogloss:0.564166
[27] train-mlogloss:0.413812 eval-mlogloss:0.558952
[28] train-mlogloss:0.406807 eval-mlogloss:0.553947
[29] train-mlogloss:0.400784 eval-mlogloss:0.549453
[30] train-mlogloss:0.395444 eval-mlogloss:0.545851
[31] train-mlogloss:0.389513 eval-mlogloss:0.541770
[32] train-mlogloss:0.383986 eval-mlogloss:0.538205
[33] train-mlogloss:0.380420 eval-mlogloss:0.535415
[34] train-mlogloss:0.376177 eval-mlogloss:0.532604
[35] train-mlogloss:0.371340 eval-mlogloss:0.529407
[36] train-mlogloss:0.366848 eval-mlogloss:0.526738
[37] train-mlogloss:0.362893 eval-mlogloss:0.524376
[38] train-mlogloss:0.359129 eval-mlogloss:0.522097
[39] train-mlogloss:0.356313 eval-mlogloss:0.520315
[40] train-mlogloss:0.352753 eval-mlogloss:0.518181
[41] train-mlogloss:0.349680 eval-mlogloss:0.516314
[42] train-mlogloss:0.346168 eval-mlogloss:0.514179
[43] train-mlogloss:0.344007 eval-mlogloss:0.512680
[44] train-mlogloss:0.340872 eval-mlogloss:0.510971
[45] train-mlogloss:0.338425 eval-mlogloss:0.509505
[46] train-mlogloss:0.335953 eval-mlogloss:0.508242
[47] train-mlogloss:0.333453 eval-mlogloss:0.506861
[48] train-mlogloss:0.331088 eval-mlogloss:0.505366
[49] train-mlogloss:0.327637 eval-mlogloss:0.503683
[50] train-mlogloss:0.324713 eval-mlogloss:0.502599
[51] train-mlogloss:0.322414 eval-mlogloss:0.501531
[52] train-mlogloss:0.319743 eval-mlogloss:0.500248
[53] train-mlogloss:0.316933 eval-mlogloss:0.499235
[54] train-mlogloss:0.313969 eval-mlogloss:0.498065
[55] train-mlogloss:0.311699 eval-mlogloss:0.497221
[56] train-mlogloss:0.310143 eval-mlogloss:0.496376
[57] train-mlogloss:0.308731 eval-mlogloss:0.495655
[58] train-mlogloss:0.306276 eval-mlogloss:0.494575
[59] train-mlogloss:0.304667 eval-mlogloss:0.493746
[60] train-mlogloss:0.302706 eval-mlogloss:0.492961
[61] train-mlogloss:0.300522 eval-mlogloss:0.492082
[62] train-mlogloss:0.298403 eval-mlogloss:0.491020
[63] train-mlogloss:0.295990 eval-mlogloss:0.490017
[64] train-mlogloss:0.293402 eval-mlogloss:0.489120
[65] train-mlogloss:0.291173 eval-mlogloss:0.488617
[66] train-mlogloss:0.289690 eval-mlogloss:0.488123
[67] train-mlogloss:0.288294 eval-mlogloss:0.487407
[68] train-mlogloss:0.286337 eval-mlogloss:0.486856
[69] train-mlogloss:0.283788 eval-mlogloss:0.486076
[70] train-mlogloss:0.282462 eval-mlogloss:0.485598
[71] train-mlogloss:0.280775 eval-mlogloss:0.485152
[72] train-mlogloss:0.278531 eval-mlogloss:0.484477
[73] train-mlogloss:0.276508 eval-mlogloss:0.483891
[74] train-mlogloss:0.275218 eval-mlogloss:0.483294
[75] train-mlogloss:0.273442 eval-mlogloss:0.482607
[76] train-mlogloss:0.271727 eval-mlogloss:0.482084
[77] train-mlogloss:0.270428 eval-mlogloss:0.481645
[78] train-mlogloss:0.268530 eval-mlogloss:0.481128
[79] train-mlogloss:0.267261 eval-mlogloss:0.480730
[80] train-mlogloss:0.265725 eval-mlogloss:0.480351
[81] train-mlogloss:0.264175 eval-mlogloss:0.480018
[82] train-mlogloss:0.262709 eval-mlogloss:0.479397
[83] train-mlogloss:0.261033 eval-mlogloss:0.479072
[84] train-mlogloss:0.259741 eval-mlogloss:0.478819
[85] train-mlogloss:0.257851 eval-mlogloss:0.478556
[86] train-mlogloss:0.256280 eval-mlogloss:0.478239
[87] train-mlogloss:0.254410 eval-mlogloss:0.478029
[88] train-mlogloss:0.253317 eval-mlogloss:0.477616
[89] train-mlogloss:0.251459 eval-mlogloss:0.477186
[90] train-mlogloss:0.250221 eval-mlogloss:0.476748
[91] train-mlogloss:0.248886 eval-mlogloss:0.476471
[92] train-mlogloss:0.247841 eval-mlogloss:0.476223
[93] train-mlogloss:0.246550 eval-mlogloss:0.475716
[94] train-mlogloss:0.245104 eval-mlogloss:0.475356
[95] train-mlogloss:0.243475 eval-mlogloss:0.474808
[96] train-mlogloss:0.241885 eval-mlogloss:0.474429
[97] train-mlogloss:0.240349 eval-mlogloss:0.474271
[98] train-mlogloss:0.238940 eval-mlogloss:0.473987
[99] train-mlogloss:0.237827 eval-mlogloss:0.473804
[100] train-mlogloss:0.236181 eval-mlogloss:0.473318
[101] train-mlogloss:0.235217 eval-mlogloss:0.473008
[102] train-mlogloss:0.234017 eval-mlogloss:0.472883
[103] train-mlogloss:0.233142 eval-mlogloss:0.472645
[104] train-mlogloss:0.232378 eval-mlogloss:0.472510
[105] train-mlogloss:0.230623 eval-mlogloss:0.472350
[106] train-mlogloss:0.229411 eval-mlogloss:0.472100
[107] train-mlogloss:0.228399 eval-mlogloss:0.471904
[108] train-mlogloss:0.227456 eval-mlogloss:0.471765
[109] train-mlogloss:0.225622 eval-mlogloss:0.471290
[110] train-mlogloss:0.224729 eval-mlogloss:0.471074
[111] train-mlogloss:0.223401 eval-mlogloss:0.470875
[112] train-mlogloss:0.222042 eval-mlogloss:0.470546
[113] train-mlogloss:0.221308 eval-mlogloss:0.470409
[114] train-mlogloss:0.220365 eval-mlogloss:0.470368
[115] train-mlogloss:0.219438 eval-mlogloss:0.470337
[116] train-mlogloss:0.218547 eval-mlogloss:0.470291
[117] train-mlogloss:0.217736 eval-mlogloss:0.470119
[118] train-mlogloss:0.216387 eval-mlogloss:0.469852
[119] train-mlogloss:0.215239 eval-mlogloss:0.469555
[120] train-mlogloss:0.214382 eval-mlogloss:0.469462
[121] train-mlogloss:0.213319 eval-mlogloss:0.469212
[122] train-mlogloss:0.212212 eval-mlogloss:0.469199
[123] train-mlogloss:0.211041 eval-mlogloss:0.469115
[124] train-mlogloss:0.209981 eval-mlogloss:0.468936
[125] train-mlogloss:0.209060 eval-mlogloss:0.468918
[126] train-mlogloss:0.207775 eval-mlogloss:0.468759
[127] train-mlogloss:0.206647 eval-mlogloss:0.468657
[128] train-mlogloss:0.205518 eval-mlogloss:0.468213
[129] train-mlogloss:0.204496 eval-mlogloss:0.468079
[130] train-mlogloss:0.203497 eval-mlogloss:0.467865
[131] train-mlogloss:0.202744 eval-mlogloss:0.467698
[132] train-mlogloss:0.201849 eval-mlogloss:0.467549
[133] train-mlogloss:0.200765 eval-mlogloss:0.467419
[134] train-mlogloss:0.199707 eval-mlogloss:0.467333
[135] train-mlogloss:0.198901 eval-mlogloss:0.467421
[136] train-mlogloss:0.198068 eval-mlogloss:0.467218
[137] train-mlogloss:0.197225 eval-mlogloss:0.467172
[138] train-mlogloss:0.196514 eval-mlogloss:0.467244
[139] train-mlogloss:0.195971 eval-mlogloss:0.467247
[140] train-mlogloss:0.195052 eval-mlogloss:0.467072
[141] train-mlogloss:0.194375 eval-mlogloss:0.466792
[142] train-mlogloss:0.193956 eval-mlogloss:0.466690
[143] train-mlogloss:0.193289 eval-mlogloss:0.466556
[144] train-mlogloss:0.192761 eval-mlogloss:0.466385
[145] train-mlogloss:0.191599 eval-mlogloss:0.466300
[146] train-mlogloss:0.190795 eval-mlogloss:0.466265
[147] train-mlogloss:0.189844 eval-mlogloss:0.466407
[148] train-mlogloss:0.189238 eval-mlogloss:0.466352
[149] train-mlogloss:0.188364 eval-mlogloss:0.466354
[150] train-mlogloss:0.187440 eval-mlogloss:0.466036
[151] train-mlogloss:0.186923 eval-mlogloss:0.466057
[152] train-mlogloss:0.185864 eval-mlogloss:0.465846
[153] train-mlogloss:0.185130 eval-mlogloss:0.465838
[154] train-mlogloss:0.184392 eval-mlogloss:0.465829
[155] train-mlogloss:0.183492 eval-mlogloss:0.465781
[156] train-mlogloss:0.182959 eval-mlogloss:0.465708
[157] train-mlogloss:0.182342 eval-mlogloss:0.465555
[158] train-mlogloss:0.181855 eval-mlogloss:0.465714
[159] train-mlogloss:0.181071 eval-mlogloss:0.465780
[160] train-mlogloss:0.180613 eval-mlogloss:0.465843
[161] train-mlogloss:0.180185 eval-mlogloss:0.465739
[162] train-mlogloss:0.179625 eval-mlogloss:0.465658
[163] train-mlogloss:0.179154 eval-mlogloss:0.465639
[164] train-mlogloss:0.178503 eval-mlogloss:0.465638
[165] train-mlogloss:0.177942 eval-mlogloss:0.465546
[166] train-mlogloss:0.177323 eval-mlogloss:0.465583
[167] train-mlogloss:0.176487 eval-mlogloss:0.465369
[168] train-mlogloss:0.175975 eval-mlogloss:0.465092
[169] train-mlogloss:0.175337 eval-mlogloss:0.465179
[170] train-mlogloss:0.174108 eval-mlogloss:0.465236
[171] train-mlogloss:0.173540 eval-mlogloss:0.465361
[172] train-mlogloss:0.173034 eval-mlogloss:0.465300
[173] train-mlogloss:0.172611 eval-mlogloss:0.465305
[174] train-mlogloss:0.171980 eval-mlogloss:0.465247
[175] train-mlogloss:0.171123 eval-mlogloss:0.465260
[176] train-mlogloss:0.170142 eval-mlogloss:0.465195
[177] train-mlogloss:0.169246 eval-mlogloss:0.465419
Training with params :
{'eta': 0.17500000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9500000000000001, 'max_depth': 10.0, 'silent': 1, 'subsample': 1.0, 'num_class': 9, 'min_child_weight': 6.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.55}
Score 0.4653063270241613
[178] train-mlogloss:0.168424 eval-mlogloss:0.465306
Stopping. Best iteration:
[168] train-mlogloss:0.175975 eval-mlogloss:0.465092
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.136705 eval-mlogloss:2.137994
[1] train-mlogloss:2.078913 eval-mlogloss:2.081593
[2] train-mlogloss:2.025428 eval-mlogloss:2.029683
[3] train-mlogloss:1.976298 eval-mlogloss:1.982141
[4] train-mlogloss:1.931983 eval-mlogloss:1.939226
[5] train-mlogloss:1.887497 eval-mlogloss:1.895957
[6] train-mlogloss:1.844260 eval-mlogloss:1.853957
[7] train-mlogloss:1.805175 eval-mlogloss:1.815897
[8] train-mlogloss:1.768283 eval-mlogloss:1.780449
[9] train-mlogloss:1.733641 eval-mlogloss:1.746975
[10] train-mlogloss:1.698624 eval-mlogloss:1.713146
[11] train-mlogloss:1.665501 eval-mlogloss:1.681235
[12] train-mlogloss:1.633572 eval-mlogloss:1.650395
[13] train-mlogloss:1.603775 eval-mlogloss:1.621964
[14] train-mlogloss:1.575666 eval-mlogloss:1.594864
[15] train-mlogloss:1.547878 eval-mlogloss:1.568003
[16] train-mlogloss:1.520491 eval-mlogloss:1.541572
[17] train-mlogloss:1.494637 eval-mlogloss:1.516805
[18] train-mlogloss:1.469919 eval-mlogloss:1.492899
[19] train-mlogloss:1.446054 eval-mlogloss:1.470014
[20] train-mlogloss:1.423296 eval-mlogloss:1.448312
[21] train-mlogloss:1.400468 eval-mlogloss:1.426566
[22] train-mlogloss:1.378308 eval-mlogloss:1.405270
[23] train-mlogloss:1.356978 eval-mlogloss:1.384892
[24] train-mlogloss:1.336434 eval-mlogloss:1.365184
[25] train-mlogloss:1.316551 eval-mlogloss:1.346288
[26] train-mlogloss:1.296930 eval-mlogloss:1.327564
[27] train-mlogloss:1.278225 eval-mlogloss:1.310067
[28] train-mlogloss:1.260334 eval-mlogloss:1.293065
[29] train-mlogloss:1.242714 eval-mlogloss:1.276215
[30] train-mlogloss:1.225446 eval-mlogloss:1.259754
[31] train-mlogloss:1.208863 eval-mlogloss:1.244161
[32] train-mlogloss:1.193207 eval-mlogloss:1.229231
[33] train-mlogloss:1.177150 eval-mlogloss:1.214043
[34] train-mlogloss:1.161511 eval-mlogloss:1.199312
[35] train-mlogloss:1.146390 eval-mlogloss:1.185052
[36] train-mlogloss:1.131583 eval-mlogloss:1.171089
[37] train-mlogloss:1.117496 eval-mlogloss:1.157886
[38] train-mlogloss:1.104002 eval-mlogloss:1.145182
[39] train-mlogloss:1.090697 eval-mlogloss:1.132639
[40] train-mlogloss:1.077482 eval-mlogloss:1.120119
[41] train-mlogloss:1.064831 eval-mlogloss:1.108142
[42] train-mlogloss:1.052636 eval-mlogloss:1.096683
[43] train-mlogloss:1.040905 eval-mlogloss:1.085621
[44] train-mlogloss:1.029026 eval-mlogloss:1.074507
[45] train-mlogloss:1.017221 eval-mlogloss:1.063503
[46] train-mlogloss:1.005527 eval-mlogloss:1.052725
[47] train-mlogloss:0.994044 eval-mlogloss:1.042184
[48] train-mlogloss:0.983509 eval-mlogloss:1.032474
[49] train-mlogloss:0.972850 eval-mlogloss:1.022676
[50] train-mlogloss:0.962377 eval-mlogloss:1.012928
[51] train-mlogloss:0.952056 eval-mlogloss:1.003498
[52] train-mlogloss:0.942247 eval-mlogloss:0.994427
[53] train-mlogloss:0.932325 eval-mlogloss:0.985356
[54] train-mlogloss:0.922805 eval-mlogloss:0.976573
[55] train-mlogloss:0.913374 eval-mlogloss:0.967863
[56] train-mlogloss:0.904075 eval-mlogloss:0.959213
[57] train-mlogloss:0.895268 eval-mlogloss:0.951040
[58] train-mlogloss:0.886617 eval-mlogloss:0.943053
[59] train-mlogloss:0.877895 eval-mlogloss:0.934990
[60] train-mlogloss:0.869444 eval-mlogloss:0.927135
[61] train-mlogloss:0.861365 eval-mlogloss:0.919831
[62] train-mlogloss:0.853303 eval-mlogloss:0.912524
[63] train-mlogloss:0.845200 eval-mlogloss:0.905208
[64] train-mlogloss:0.837938 eval-mlogloss:0.898539
[65] train-mlogloss:0.830608 eval-mlogloss:0.891890
[66] train-mlogloss:0.823112 eval-mlogloss:0.885038
[67] train-mlogloss:0.815942 eval-mlogloss:0.878520
[68] train-mlogloss:0.808648 eval-mlogloss:0.872085
[69] train-mlogloss:0.801593 eval-mlogloss:0.865662
[70] train-mlogloss:0.795101 eval-mlogloss:0.859706
[71] train-mlogloss:0.788412 eval-mlogloss:0.853623
[72] train-mlogloss:0.781705 eval-mlogloss:0.847601
[73] train-mlogloss:0.774987 eval-mlogloss:0.841678
[74] train-mlogloss:0.768835 eval-mlogloss:0.836162
[75] train-mlogloss:0.762518 eval-mlogloss:0.830606
[76] train-mlogloss:0.756550 eval-mlogloss:0.825353
[77] train-mlogloss:0.750226 eval-mlogloss:0.819833
[78] train-mlogloss:0.744506 eval-mlogloss:0.814692
[79] train-mlogloss:0.738834 eval-mlogloss:0.809713
[80] train-mlogloss:0.733256 eval-mlogloss:0.804727
[81] train-mlogloss:0.727661 eval-mlogloss:0.799867
[82] train-mlogloss:0.722076 eval-mlogloss:0.794946
[83] train-mlogloss:0.716819 eval-mlogloss:0.790342
[84] train-mlogloss:0.711362 eval-mlogloss:0.785578
[85] train-mlogloss:0.706127 eval-mlogloss:0.780872
[86] train-mlogloss:0.701157 eval-mlogloss:0.776560
[87] train-mlogloss:0.695999 eval-mlogloss:0.772123
[88] train-mlogloss:0.691272 eval-mlogloss:0.767954
[89] train-mlogloss:0.686539 eval-mlogloss:0.763738
[90] train-mlogloss:0.681811 eval-mlogloss:0.759656
[91] train-mlogloss:0.677123 eval-mlogloss:0.755555
[92] train-mlogloss:0.672520 eval-mlogloss:0.751486
[93] train-mlogloss:0.667886 eval-mlogloss:0.747529
[94] train-mlogloss:0.663251 eval-mlogloss:0.743598
[95] train-mlogloss:0.659074 eval-mlogloss:0.739970
[96] train-mlogloss:0.654920 eval-mlogloss:0.736360
[97] train-mlogloss:0.650586 eval-mlogloss:0.732642
[98] train-mlogloss:0.646426 eval-mlogloss:0.729112
[99] train-mlogloss:0.642316 eval-mlogloss:0.725647
[100] train-mlogloss:0.638456 eval-mlogloss:0.722332
[101] train-mlogloss:0.634561 eval-mlogloss:0.718968
[102] train-mlogloss:0.630834 eval-mlogloss:0.715687
[103] train-mlogloss:0.627016 eval-mlogloss:0.712511
[104] train-mlogloss:0.623187 eval-mlogloss:0.709259
[105] train-mlogloss:0.619555 eval-mlogloss:0.706105
[106] train-mlogloss:0.615988 eval-mlogloss:0.703073
[107] train-mlogloss:0.612266 eval-mlogloss:0.699917
[108] train-mlogloss:0.608816 eval-mlogloss:0.697049
[109] train-mlogloss:0.605350 eval-mlogloss:0.694047
[110] train-mlogloss:0.602018 eval-mlogloss:0.691126
[111] train-mlogloss:0.598619 eval-mlogloss:0.688267
[112] train-mlogloss:0.595248 eval-mlogloss:0.685454
[113] train-mlogloss:0.592084 eval-mlogloss:0.682731
[114] train-mlogloss:0.588878 eval-mlogloss:0.680144
[115] train-mlogloss:0.585935 eval-mlogloss:0.677595
[116] train-mlogloss:0.582758 eval-mlogloss:0.674964
[117] train-mlogloss:0.579569 eval-mlogloss:0.672356
[118] train-mlogloss:0.576329 eval-mlogloss:0.669742
[119] train-mlogloss:0.573274 eval-mlogloss:0.667278
[120] train-mlogloss:0.570381 eval-mlogloss:0.664845
[121] train-mlogloss:0.567273 eval-mlogloss:0.662361
[122] train-mlogloss:0.564417 eval-mlogloss:0.659980
[123] train-mlogloss:0.561496 eval-mlogloss:0.657509
[124] train-mlogloss:0.558750 eval-mlogloss:0.655215
[125] train-mlogloss:0.556144 eval-mlogloss:0.652982
[126] train-mlogloss:0.553411 eval-mlogloss:0.650812
[127] train-mlogloss:0.550701 eval-mlogloss:0.648667
[128] train-mlogloss:0.548161 eval-mlogloss:0.646500
[129] train-mlogloss:0.545602 eval-mlogloss:0.644477
[130] train-mlogloss:0.543130 eval-mlogloss:0.642462
[131] train-mlogloss:0.540723 eval-mlogloss:0.640534
[132] train-mlogloss:0.538244 eval-mlogloss:0.638558
[133] train-mlogloss:0.535776 eval-mlogloss:0.636577
[134] train-mlogloss:0.533403 eval-mlogloss:0.634679
[135] train-mlogloss:0.531063 eval-mlogloss:0.632707
[136] train-mlogloss:0.528582 eval-mlogloss:0.630777
[137] train-mlogloss:0.526164 eval-mlogloss:0.628893
[138] train-mlogloss:0.523768 eval-mlogloss:0.626997
[139] train-mlogloss:0.521319 eval-mlogloss:0.625138
[140] train-mlogloss:0.519069 eval-mlogloss:0.623362
[141] train-mlogloss:0.516838 eval-mlogloss:0.621594
[142] train-mlogloss:0.514628 eval-mlogloss:0.619780
[143] train-mlogloss:0.512534 eval-mlogloss:0.618161
[144] train-mlogloss:0.510377 eval-mlogloss:0.616455
[145] train-mlogloss:0.508340 eval-mlogloss:0.614830
[146] train-mlogloss:0.506272 eval-mlogloss:0.613196
[147] train-mlogloss:0.504198 eval-mlogloss:0.611601
[148] train-mlogloss:0.502080 eval-mlogloss:0.609965
[149] train-mlogloss:0.500166 eval-mlogloss:0.608447
[150] train-mlogloss:0.498283 eval-mlogloss:0.606946
[151] train-mlogloss:0.496365 eval-mlogloss:0.605488
[152] train-mlogloss:0.494515 eval-mlogloss:0.604013
[153] train-mlogloss:0.492706 eval-mlogloss:0.602576
[154] train-mlogloss:0.490763 eval-mlogloss:0.601125
[155] train-mlogloss:0.489005 eval-mlogloss:0.599753
[156] train-mlogloss:0.487222 eval-mlogloss:0.598352
[157] train-mlogloss:0.485390 eval-mlogloss:0.596976
[158] train-mlogloss:0.483536 eval-mlogloss:0.595504
[159] train-mlogloss:0.481664 eval-mlogloss:0.594094
[160] train-mlogloss:0.479827 eval-mlogloss:0.592701
[161] train-mlogloss:0.477850 eval-mlogloss:0.591308
[162] train-mlogloss:0.476183 eval-mlogloss:0.590030
[163] train-mlogloss:0.474448 eval-mlogloss:0.588720
[164] train-mlogloss:0.472922 eval-mlogloss:0.587484
[165] train-mlogloss:0.471264 eval-mlogloss:0.586244
[166] train-mlogloss:0.469617 eval-mlogloss:0.584983
[167] train-mlogloss:0.467999 eval-mlogloss:0.583662
[168] train-mlogloss:0.466522 eval-mlogloss:0.582493
[169] train-mlogloss:0.465098 eval-mlogloss:0.581412
[170] train-mlogloss:0.463582 eval-mlogloss:0.580339
[171] train-mlogloss:0.462202 eval-mlogloss:0.579211
[172] train-mlogloss:0.460669 eval-mlogloss:0.578066
[173] train-mlogloss:0.459180 eval-mlogloss:0.576938
[174] train-mlogloss:0.457611 eval-mlogloss:0.575836
[175] train-mlogloss:0.456123 eval-mlogloss:0.574732
[176] train-mlogloss:0.454795 eval-mlogloss:0.573750
[177] train-mlogloss:0.453362 eval-mlogloss:0.572647
[178] train-mlogloss:0.452077 eval-mlogloss:0.571641
[179] train-mlogloss:0.450725 eval-mlogloss:0.570589
[180] train-mlogloss:0.449268 eval-mlogloss:0.569581
[181] train-mlogloss:0.447839 eval-mlogloss:0.568598
[182] train-mlogloss:0.446562 eval-mlogloss:0.567681
[183] train-mlogloss:0.445330 eval-mlogloss:0.566773
[184] train-mlogloss:0.443964 eval-mlogloss:0.565773
[185] train-mlogloss:0.442592 eval-mlogloss:0.564815
[186] train-mlogloss:0.441289 eval-mlogloss:0.563856
[187] train-mlogloss:0.439999 eval-mlogloss:0.562924
[188] train-mlogloss:0.438793 eval-mlogloss:0.562034
[189] train-mlogloss:0.437464 eval-mlogloss:0.561100
[190] train-mlogloss:0.436201 eval-mlogloss:0.560156
[191] train-mlogloss:0.434962 eval-mlogloss:0.559229
[192] train-mlogloss:0.433759 eval-mlogloss:0.558358
[193] train-mlogloss:0.432537 eval-mlogloss:0.557501
[194] train-mlogloss:0.431415 eval-mlogloss:0.556715
[195] train-mlogloss:0.430306 eval-mlogloss:0.555933
[196] train-mlogloss:0.429170 eval-mlogloss:0.555137
[197] train-mlogloss:0.427971 eval-mlogloss:0.554281
[198] train-mlogloss:0.426887 eval-mlogloss:0.553533
[199] train-mlogloss:0.425717 eval-mlogloss:0.552741
[200] train-mlogloss:0.424632 eval-mlogloss:0.551985
[201] train-mlogloss:0.423574 eval-mlogloss:0.551145
[202] train-mlogloss:0.422424 eval-mlogloss:0.550338
[203] train-mlogloss:0.421205 eval-mlogloss:0.549459
[204] train-mlogloss:0.420076 eval-mlogloss:0.548681
[205] train-mlogloss:0.419009 eval-mlogloss:0.547964
[206] train-mlogloss:0.418036 eval-mlogloss:0.547271
[207] train-mlogloss:0.416993 eval-mlogloss:0.546509
[208] train-mlogloss:0.415927 eval-mlogloss:0.545771
[209] train-mlogloss:0.414902 eval-mlogloss:0.545014
[210] train-mlogloss:0.413912 eval-mlogloss:0.544327
[211] train-mlogloss:0.412860 eval-mlogloss:0.543625
[212] train-mlogloss:0.411810 eval-mlogloss:0.542975
[213] train-mlogloss:0.410791 eval-mlogloss:0.542323
[214] train-mlogloss:0.409807 eval-mlogloss:0.541630
[215] train-mlogloss:0.408884 eval-mlogloss:0.540968
[216] train-mlogloss:0.407911 eval-mlogloss:0.540300
[217] train-mlogloss:0.407062 eval-mlogloss:0.539681
[218] train-mlogloss:0.406089 eval-mlogloss:0.539055
[219] train-mlogloss:0.405148 eval-mlogloss:0.538400
[220] train-mlogloss:0.404315 eval-mlogloss:0.537803
[221] train-mlogloss:0.403475 eval-mlogloss:0.537249
[222] train-mlogloss:0.402490 eval-mlogloss:0.536654
[223] train-mlogloss:0.401552 eval-mlogloss:0.536096
[224] train-mlogloss:0.400658 eval-mlogloss:0.535441
[225] train-mlogloss:0.399855 eval-mlogloss:0.534917
[226] train-mlogloss:0.398906 eval-mlogloss:0.534279
[227] train-mlogloss:0.398020 eval-mlogloss:0.533695
[228] train-mlogloss:0.397232 eval-mlogloss:0.533141
[229] train-mlogloss:0.396442 eval-mlogloss:0.532551
[230] train-mlogloss:0.395594 eval-mlogloss:0.532019
[231] train-mlogloss:0.394769 eval-mlogloss:0.531411
[232] train-mlogloss:0.393913 eval-mlogloss:0.530890
[233] train-mlogloss:0.392942 eval-mlogloss:0.530332
[234] train-mlogloss:0.392128 eval-mlogloss:0.529776
[235] train-mlogloss:0.391311 eval-mlogloss:0.529232
[236] train-mlogloss:0.390499 eval-mlogloss:0.528768
[237] train-mlogloss:0.389582 eval-mlogloss:0.528218
[238] train-mlogloss:0.388838 eval-mlogloss:0.527669
[239] train-mlogloss:0.388034 eval-mlogloss:0.527176
[240] train-mlogloss:0.387342 eval-mlogloss:0.526615
[241] train-mlogloss:0.386497 eval-mlogloss:0.526083
[242] train-mlogloss:0.385556 eval-mlogloss:0.525519
[243] train-mlogloss:0.384738 eval-mlogloss:0.524962
[244] train-mlogloss:0.384023 eval-mlogloss:0.524488
[245] train-mlogloss:0.383288 eval-mlogloss:0.524003
[246] train-mlogloss:0.382598 eval-mlogloss:0.523554
[247] train-mlogloss:0.381740 eval-mlogloss:0.523153
[248] train-mlogloss:0.380945 eval-mlogloss:0.522694
[249] train-mlogloss:0.380286 eval-mlogloss:0.522295
[250] train-mlogloss:0.379550 eval-mlogloss:0.521869
[251] train-mlogloss:0.378849 eval-mlogloss:0.521419
[252] train-mlogloss:0.378028 eval-mlogloss:0.520992
[253] train-mlogloss:0.377296 eval-mlogloss:0.520525
[254] train-mlogloss:0.376539 eval-mlogloss:0.520078
[255] train-mlogloss:0.375867 eval-mlogloss:0.519648
[256] train-mlogloss:0.375169 eval-mlogloss:0.519220
[257] train-mlogloss:0.374408 eval-mlogloss:0.518791
[258] train-mlogloss:0.373700 eval-mlogloss:0.518358
[259] train-mlogloss:0.373099 eval-mlogloss:0.517973
[260] train-mlogloss:0.372364 eval-mlogloss:0.517513
[261] train-mlogloss:0.371724 eval-mlogloss:0.517131
[262] train-mlogloss:0.371031 eval-mlogloss:0.516695
[263] train-mlogloss:0.370247 eval-mlogloss:0.516199
[264] train-mlogloss:0.369567 eval-mlogloss:0.515812
[265] train-mlogloss:0.368916 eval-mlogloss:0.515409
[266] train-mlogloss:0.368122 eval-mlogloss:0.515017
[267] train-mlogloss:0.367425 eval-mlogloss:0.514605
[268] train-mlogloss:0.366722 eval-mlogloss:0.514159
[269] train-mlogloss:0.366137 eval-mlogloss:0.513809
[270] train-mlogloss:0.365500 eval-mlogloss:0.513368
[271] train-mlogloss:0.364839 eval-mlogloss:0.512915
[272] train-mlogloss:0.364268 eval-mlogloss:0.512570
[273] train-mlogloss:0.363527 eval-mlogloss:0.512189
[274] train-mlogloss:0.362869 eval-mlogloss:0.511829
[275] train-mlogloss:0.362205 eval-mlogloss:0.511387
[276] train-mlogloss:0.361611 eval-mlogloss:0.510988
[277] train-mlogloss:0.360966 eval-mlogloss:0.510591
[278] train-mlogloss:0.360409 eval-mlogloss:0.510226
[279] train-mlogloss:0.359774 eval-mlogloss:0.509843
[280] train-mlogloss:0.359075 eval-mlogloss:0.509446
[281] train-mlogloss:0.358506 eval-mlogloss:0.509107
[282] train-mlogloss:0.357857 eval-mlogloss:0.508756
[283] train-mlogloss:0.357282 eval-mlogloss:0.508404
[284] train-mlogloss:0.356605 eval-mlogloss:0.507967
[285] train-mlogloss:0.355975 eval-mlogloss:0.507577
[286] train-mlogloss:0.355506 eval-mlogloss:0.507287
[287] train-mlogloss:0.354932 eval-mlogloss:0.506944
[288] train-mlogloss:0.354259 eval-mlogloss:0.506557
[289] train-mlogloss:0.353679 eval-mlogloss:0.506173
[290] train-mlogloss:0.353059 eval-mlogloss:0.505845
[291] train-mlogloss:0.352452 eval-mlogloss:0.505518
[292] train-mlogloss:0.351865 eval-mlogloss:0.505226
[293] train-mlogloss:0.351275 eval-mlogloss:0.504893
[294] train-mlogloss:0.350728 eval-mlogloss:0.504584
[295] train-mlogloss:0.350158 eval-mlogloss:0.504214
[296] train-mlogloss:0.349576 eval-mlogloss:0.503899
[297] train-mlogloss:0.349009 eval-mlogloss:0.503540
[298] train-mlogloss:0.348538 eval-mlogloss:0.503226
[299] train-mlogloss:0.347923 eval-mlogloss:0.502941
[300] train-mlogloss:0.347401 eval-mlogloss:0.502646
[301] train-mlogloss:0.346942 eval-mlogloss:0.502410
[302] train-mlogloss:0.346361 eval-mlogloss:0.502112
[303] train-mlogloss:0.345935 eval-mlogloss:0.501868
[304] train-mlogloss:0.345404 eval-mlogloss:0.501572
[305] train-mlogloss:0.344991 eval-mlogloss:0.501328
[306] train-mlogloss:0.344367 eval-mlogloss:0.501049
[307] train-mlogloss:0.343836 eval-mlogloss:0.500791
[308] train-mlogloss:0.343126 eval-mlogloss:0.500503
[309] train-mlogloss:0.342544 eval-mlogloss:0.500179
[310] train-mlogloss:0.341964 eval-mlogloss:0.499923
[311] train-mlogloss:0.341454 eval-mlogloss:0.499663
[312] train-mlogloss:0.341016 eval-mlogloss:0.499380
[313] train-mlogloss:0.340431 eval-mlogloss:0.499082
[314] train-mlogloss:0.339900 eval-mlogloss:0.498837
[315] train-mlogloss:0.339234 eval-mlogloss:0.498515
[316] train-mlogloss:0.338895 eval-mlogloss:0.498285
[317] train-mlogloss:0.338366 eval-mlogloss:0.497995
[318] train-mlogloss:0.337818 eval-mlogloss:0.497761
[319] train-mlogloss:0.337338 eval-mlogloss:0.497489
[320] train-mlogloss:0.336817 eval-mlogloss:0.497240
[321] train-mlogloss:0.336262 eval-mlogloss:0.496966
[322] train-mlogloss:0.335878 eval-mlogloss:0.496738
[323] train-mlogloss:0.335243 eval-mlogloss:0.496413
[324] train-mlogloss:0.334730 eval-mlogloss:0.496111
[325] train-mlogloss:0.334203 eval-mlogloss:0.495881
[326] train-mlogloss:0.333792 eval-mlogloss:0.495613
[327] train-mlogloss:0.333264 eval-mlogloss:0.495331
[328] train-mlogloss:0.332796 eval-mlogloss:0.495105
[329] train-mlogloss:0.332347 eval-mlogloss:0.494883
[330] train-mlogloss:0.331871 eval-mlogloss:0.494618
[331] train-mlogloss:0.331314 eval-mlogloss:0.494381
[332] train-mlogloss:0.330873 eval-mlogloss:0.494178
[333] train-mlogloss:0.330385 eval-mlogloss:0.493921
[334] train-mlogloss:0.329850 eval-mlogloss:0.493642
[335] train-mlogloss:0.329400 eval-mlogloss:0.493386
[336] train-mlogloss:0.328798 eval-mlogloss:0.493079
[337] train-mlogloss:0.328316 eval-mlogloss:0.492824
[338] train-mlogloss:0.327975 eval-mlogloss:0.492593
[339] train-mlogloss:0.327527 eval-mlogloss:0.492365
[340] train-mlogloss:0.327082 eval-mlogloss:0.492138
[341] train-mlogloss:0.326662 eval-mlogloss:0.491922
[342] train-mlogloss:0.326134 eval-mlogloss:0.491658
[343] train-mlogloss:0.325711 eval-mlogloss:0.491452
[344] train-mlogloss:0.325291 eval-mlogloss:0.491261
[345] train-mlogloss:0.324906 eval-mlogloss:0.491048
[346] train-mlogloss:0.324461 eval-mlogloss:0.490817
[347] train-mlogloss:0.324054 eval-mlogloss:0.490652
[348] train-mlogloss:0.323608 eval-mlogloss:0.490411
[349] train-mlogloss:0.323128 eval-mlogloss:0.490173
[350] train-mlogloss:0.322751 eval-mlogloss:0.489984
[351] train-mlogloss:0.322291 eval-mlogloss:0.489789
[352] train-mlogloss:0.321889 eval-mlogloss:0.489620
[353] train-mlogloss:0.321445 eval-mlogloss:0.489387
[354] train-mlogloss:0.321008 eval-mlogloss:0.489201
[355] train-mlogloss:0.320615 eval-mlogloss:0.489016
[356] train-mlogloss:0.320186 eval-mlogloss:0.488797
[357] train-mlogloss:0.319734 eval-mlogloss:0.488635
[358] train-mlogloss:0.319276 eval-mlogloss:0.488409
[359] train-mlogloss:0.318775 eval-mlogloss:0.488241
[360] train-mlogloss:0.318426 eval-mlogloss:0.488019
[361] train-mlogloss:0.318051 eval-mlogloss:0.487833
[362] train-mlogloss:0.317589 eval-mlogloss:0.487590
[363] train-mlogloss:0.317066 eval-mlogloss:0.487358
[364] train-mlogloss:0.316567 eval-mlogloss:0.487175
[365] train-mlogloss:0.316069 eval-mlogloss:0.486947
[366] train-mlogloss:0.315639 eval-mlogloss:0.486735
[367] train-mlogloss:0.315197 eval-mlogloss:0.486525
[368] train-mlogloss:0.314774 eval-mlogloss:0.486326
[369] train-mlogloss:0.314405 eval-mlogloss:0.486157
[370] train-mlogloss:0.314018 eval-mlogloss:0.485965
[371] train-mlogloss:0.313594 eval-mlogloss:0.485762
[372] train-mlogloss:0.313266 eval-mlogloss:0.485577
[373] train-mlogloss:0.312845 eval-mlogloss:0.485393
[374] train-mlogloss:0.312453 eval-mlogloss:0.485228
[375] train-mlogloss:0.312102 eval-mlogloss:0.485081
[376] train-mlogloss:0.311667 eval-mlogloss:0.484878
[377] train-mlogloss:0.311303 eval-mlogloss:0.484715
[378] train-mlogloss:0.310775 eval-mlogloss:0.484530
[379] train-mlogloss:0.310293 eval-mlogloss:0.484297
[380] train-mlogloss:0.309877 eval-mlogloss:0.484102
[381] train-mlogloss:0.309444 eval-mlogloss:0.483919
[382] train-mlogloss:0.308972 eval-mlogloss:0.483782
[383] train-mlogloss:0.308621 eval-mlogloss:0.483588
[384] train-mlogloss:0.308228 eval-mlogloss:0.483440
[385] train-mlogloss:0.307880 eval-mlogloss:0.483262
[386] train-mlogloss:0.307505 eval-mlogloss:0.483049
[387] train-mlogloss:0.307196 eval-mlogloss:0.482881
[388] train-mlogloss:0.306820 eval-mlogloss:0.482759
[389] train-mlogloss:0.306498 eval-mlogloss:0.482600
[390] train-mlogloss:0.306146 eval-mlogloss:0.482454
[391] train-mlogloss:0.305750 eval-mlogloss:0.482251
[392] train-mlogloss:0.305404 eval-mlogloss:0.482061
[393] train-mlogloss:0.305033 eval-mlogloss:0.481920
[394] train-mlogloss:0.304679 eval-mlogloss:0.481773
[395] train-mlogloss:0.304320 eval-mlogloss:0.481581
[396] train-mlogloss:0.303927 eval-mlogloss:0.481440
[397] train-mlogloss:0.303579 eval-mlogloss:0.481233
[398] train-mlogloss:0.303232 eval-mlogloss:0.481059
[399] train-mlogloss:0.302848 eval-mlogloss:0.480900
[400] train-mlogloss:0.302508 eval-mlogloss:0.480762
[401] train-mlogloss:0.302113 eval-mlogloss:0.480598
[402] train-mlogloss:0.301789 eval-mlogloss:0.480433
[403] train-mlogloss:0.301428 eval-mlogloss:0.480265
[404] train-mlogloss:0.301068 eval-mlogloss:0.480113
[405] train-mlogloss:0.300717 eval-mlogloss:0.479944
[406] train-mlogloss:0.300285 eval-mlogloss:0.479786
[407] train-mlogloss:0.299913 eval-mlogloss:0.479603
[408] train-mlogloss:0.299509 eval-mlogloss:0.479447
[409] train-mlogloss:0.299041 eval-mlogloss:0.479236
[410] train-mlogloss:0.298694 eval-mlogloss:0.479124
[411] train-mlogloss:0.298365 eval-mlogloss:0.478958
[412] train-mlogloss:0.298017 eval-mlogloss:0.478808
[413] train-mlogloss:0.297653 eval-mlogloss:0.478657
[414] train-mlogloss:0.297241 eval-mlogloss:0.478518
[415] train-mlogloss:0.296900 eval-mlogloss:0.478340
[416] train-mlogloss:0.296501 eval-mlogloss:0.478135
[417] train-mlogloss:0.296140 eval-mlogloss:0.477983
[418] train-mlogloss:0.295806 eval-mlogloss:0.477845
[419] train-mlogloss:0.295360 eval-mlogloss:0.477689
[420] train-mlogloss:0.294920 eval-mlogloss:0.477548
[421] train-mlogloss:0.294536 eval-mlogloss:0.477377
[422] train-mlogloss:0.294126 eval-mlogloss:0.477222
[423] train-mlogloss:0.293763 eval-mlogloss:0.477046
[424] train-mlogloss:0.293377 eval-mlogloss:0.476876
[425] train-mlogloss:0.293034 eval-mlogloss:0.476742
[426] train-mlogloss:0.292687 eval-mlogloss:0.476608
[427] train-mlogloss:0.292270 eval-mlogloss:0.476451
[428] train-mlogloss:0.291886 eval-mlogloss:0.476248
[429] train-mlogloss:0.291496 eval-mlogloss:0.476089
[430] train-mlogloss:0.291186 eval-mlogloss:0.475929
[431] train-mlogloss:0.290851 eval-mlogloss:0.475793
[432] train-mlogloss:0.290476 eval-mlogloss:0.475644
[433] train-mlogloss:0.290078 eval-mlogloss:0.475483
[434] train-mlogloss:0.289774 eval-mlogloss:0.475402
[435] train-mlogloss:0.289426 eval-mlogloss:0.475283
[436] train-mlogloss:0.289028 eval-mlogloss:0.475160
[437] train-mlogloss:0.288678 eval-mlogloss:0.475040
[438] train-mlogloss:0.288429 eval-mlogloss:0.474945
[439] train-mlogloss:0.288050 eval-mlogloss:0.474821
[440] train-mlogloss:0.287703 eval-mlogloss:0.474711
[441] train-mlogloss:0.287323 eval-mlogloss:0.474552
[442] train-mlogloss:0.287017 eval-mlogloss:0.474495
[443] train-mlogloss:0.286629 eval-mlogloss:0.474398
[444] train-mlogloss:0.286233 eval-mlogloss:0.474262
[445] train-mlogloss:0.285910 eval-mlogloss:0.474136
[446] train-mlogloss:0.285547 eval-mlogloss:0.473976
[447] train-mlogloss:0.285218 eval-mlogloss:0.473851
[448] train-mlogloss:0.284798 eval-mlogloss:0.473678
[449] train-mlogloss:0.284502 eval-mlogloss:0.473555
[450] train-mlogloss:0.284132 eval-mlogloss:0.473446
[451] train-mlogloss:0.283767 eval-mlogloss:0.473357
[452] train-mlogloss:0.283462 eval-mlogloss:0.473221
[453] train-mlogloss:0.283170 eval-mlogloss:0.473110
[454] train-mlogloss:0.282835 eval-mlogloss:0.473002
[455] train-mlogloss:0.282500 eval-mlogloss:0.472866
[456] train-mlogloss:0.282116 eval-mlogloss:0.472711
[457] train-mlogloss:0.281819 eval-mlogloss:0.472601
[458] train-mlogloss:0.281437 eval-mlogloss:0.472447
[459] train-mlogloss:0.281118 eval-mlogloss:0.472352
[460] train-mlogloss:0.280783 eval-mlogloss:0.472215
[461] train-mlogloss:0.280420 eval-mlogloss:0.472094
[462] train-mlogloss:0.280105 eval-mlogloss:0.471984
[463] train-mlogloss:0.279690 eval-mlogloss:0.471871
[464] train-mlogloss:0.279346 eval-mlogloss:0.471770
[465] train-mlogloss:0.279046 eval-mlogloss:0.471587
[466] train-mlogloss:0.278690 eval-mlogloss:0.471436
[467] train-mlogloss:0.278393 eval-mlogloss:0.471287
[468] train-mlogloss:0.278057 eval-mlogloss:0.471200
[469] train-mlogloss:0.277748 eval-mlogloss:0.471085
[470] train-mlogloss:0.277426 eval-mlogloss:0.470991
[471] train-mlogloss:0.277074 eval-mlogloss:0.470861
[472] train-mlogloss:0.276741 eval-mlogloss:0.470723
[473] train-mlogloss:0.276339 eval-mlogloss:0.470579
[474] train-mlogloss:0.276023 eval-mlogloss:0.470478
[475] train-mlogloss:0.275702 eval-mlogloss:0.470371
[476] train-mlogloss:0.275371 eval-mlogloss:0.470260
[477] train-mlogloss:0.275041 eval-mlogloss:0.470094
[478] train-mlogloss:0.274787 eval-mlogloss:0.469983
[479] train-mlogloss:0.274462 eval-mlogloss:0.469898
[480] train-mlogloss:0.274129 eval-mlogloss:0.469760
[481] train-mlogloss:0.273868 eval-mlogloss:0.469674
[482] train-mlogloss:0.273491 eval-mlogloss:0.469555
[483] train-mlogloss:0.273188 eval-mlogloss:0.469443
[484] train-mlogloss:0.272856 eval-mlogloss:0.469347
[485] train-mlogloss:0.272599 eval-mlogloss:0.469259
[486] train-mlogloss:0.272209 eval-mlogloss:0.469139
[487] train-mlogloss:0.271845 eval-mlogloss:0.469052
[488] train-mlogloss:0.271500 eval-mlogloss:0.468942
[489] train-mlogloss:0.271081 eval-mlogloss:0.468827
[490] train-mlogloss:0.270666 eval-mlogloss:0.468668
[491] train-mlogloss:0.270308 eval-mlogloss:0.468599
[492] train-mlogloss:0.270033 eval-mlogloss:0.468492
[493] train-mlogloss:0.269755 eval-mlogloss:0.468420
[494] train-mlogloss:0.269411 eval-mlogloss:0.468252
[495] train-mlogloss:0.269094 eval-mlogloss:0.468147
[496] train-mlogloss:0.268853 eval-mlogloss:0.468061
[497] train-mlogloss:0.268579 eval-mlogloss:0.468022
[498] train-mlogloss:0.268270 eval-mlogloss:0.467926
[499] train-mlogloss:0.267940 eval-mlogloss:0.467848
Training with params :
{'eta': 0.025, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.6000000000000001, 'num_class': 9, 'min_child_weight': 6.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.46784801384438884
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.107422 eval-mlogloss:2.108229
[1] train-mlogloss:2.039045 eval-mlogloss:2.039426
[2] train-mlogloss:1.956326 eval-mlogloss:1.956503
[3] train-mlogloss:1.884592 eval-mlogloss:1.884550
[4] train-mlogloss:1.828422 eval-mlogloss:1.828188
[5] train-mlogloss:1.767327 eval-mlogloss:1.767298
[6] train-mlogloss:1.718946 eval-mlogloss:1.718883
[7] train-mlogloss:1.669471 eval-mlogloss:1.669746
[8] train-mlogloss:1.623823 eval-mlogloss:1.623776
[9] train-mlogloss:1.587075 eval-mlogloss:1.587124
[10] train-mlogloss:1.552866 eval-mlogloss:1.552906
[11] train-mlogloss:1.519481 eval-mlogloss:1.519115
[12] train-mlogloss:1.483322 eval-mlogloss:1.483096
[13] train-mlogloss:1.451063 eval-mlogloss:1.451230
[14] train-mlogloss:1.425654 eval-mlogloss:1.425800
[15] train-mlogloss:1.398162 eval-mlogloss:1.398025
[16] train-mlogloss:1.374722 eval-mlogloss:1.374680
[17] train-mlogloss:1.353875 eval-mlogloss:1.354047
[18] train-mlogloss:1.335108 eval-mlogloss:1.335268
[19] train-mlogloss:1.315496 eval-mlogloss:1.315858
[20] train-mlogloss:1.295981 eval-mlogloss:1.296492
[21] train-mlogloss:1.277208 eval-mlogloss:1.277984
[22] train-mlogloss:1.257790 eval-mlogloss:1.258303
[23] train-mlogloss:1.242023 eval-mlogloss:1.242343
[24] train-mlogloss:1.227767 eval-mlogloss:1.228130
[25] train-mlogloss:1.213913 eval-mlogloss:1.214195
[26] train-mlogloss:1.199634 eval-mlogloss:1.200043
[27] train-mlogloss:1.186712 eval-mlogloss:1.187151
[28] train-mlogloss:1.171268 eval-mlogloss:1.172007
[29] train-mlogloss:1.160238 eval-mlogloss:1.161127
[30] train-mlogloss:1.148340 eval-mlogloss:1.149438
[31] train-mlogloss:1.134340 eval-mlogloss:1.135290
[32] train-mlogloss:1.121680 eval-mlogloss:1.122511
[33] train-mlogloss:1.108767 eval-mlogloss:1.109787
[34] train-mlogloss:1.096654 eval-mlogloss:1.097728
[35] train-mlogloss:1.087789 eval-mlogloss:1.088982
[36] train-mlogloss:1.076684 eval-mlogloss:1.078047
[37] train-mlogloss:1.067726 eval-mlogloss:1.069197
[38] train-mlogloss:1.058108 eval-mlogloss:1.059651
[39] train-mlogloss:1.047307 eval-mlogloss:1.048936
[40] train-mlogloss:1.037865 eval-mlogloss:1.039554
[41] train-mlogloss:1.030636 eval-mlogloss:1.032295
[42] train-mlogloss:1.023504 eval-mlogloss:1.025164
[43] train-mlogloss:1.016049 eval-mlogloss:1.017548
[44] train-mlogloss:1.009205 eval-mlogloss:1.010921
[45] train-mlogloss:1.001215 eval-mlogloss:1.003230
[46] train-mlogloss:0.995554 eval-mlogloss:0.997720
[47] train-mlogloss:0.988860 eval-mlogloss:0.991024
[48] train-mlogloss:0.983078 eval-mlogloss:0.985329
[49] train-mlogloss:0.976532 eval-mlogloss:0.979099
[50] train-mlogloss:0.971042 eval-mlogloss:0.973686
[51] train-mlogloss:0.964280 eval-mlogloss:0.966788
[52] train-mlogloss:0.957334 eval-mlogloss:0.960082
[53] train-mlogloss:0.952281 eval-mlogloss:0.955332
[54] train-mlogloss:0.946934 eval-mlogloss:0.949983
[55] train-mlogloss:0.940649 eval-mlogloss:0.943651
[56] train-mlogloss:0.934240 eval-mlogloss:0.937234
[57] train-mlogloss:0.928548 eval-mlogloss:0.931834
[58] train-mlogloss:0.923731 eval-mlogloss:0.927059
[59] train-mlogloss:0.919464 eval-mlogloss:0.922924
[60] train-mlogloss:0.914454 eval-mlogloss:0.917935
[61] train-mlogloss:0.909523 eval-mlogloss:0.913051
[62] train-mlogloss:0.905690 eval-mlogloss:0.909318
[63] train-mlogloss:0.901662 eval-mlogloss:0.905470
[64] train-mlogloss:0.896385 eval-mlogloss:0.900159
[65] train-mlogloss:0.891509 eval-mlogloss:0.895315
[66] train-mlogloss:0.887147 eval-mlogloss:0.891061
[67] train-mlogloss:0.882484 eval-mlogloss:0.886437
[68] train-mlogloss:0.878391 eval-mlogloss:0.882291
[69] train-mlogloss:0.875230 eval-mlogloss:0.879272
[70] train-mlogloss:0.871478 eval-mlogloss:0.875573
[71] train-mlogloss:0.868038 eval-mlogloss:0.872131
[72] train-mlogloss:0.864366 eval-mlogloss:0.868431
[73] train-mlogloss:0.860309 eval-mlogloss:0.864315
[74] train-mlogloss:0.857137 eval-mlogloss:0.861294
[75] train-mlogloss:0.853746 eval-mlogloss:0.858062
[76] train-mlogloss:0.850810 eval-mlogloss:0.855286
[77] train-mlogloss:0.847510 eval-mlogloss:0.852054
[78] train-mlogloss:0.844618 eval-mlogloss:0.849243
[79] train-mlogloss:0.841826 eval-mlogloss:0.846508
[80] train-mlogloss:0.838777 eval-mlogloss:0.843565
[81] train-mlogloss:0.835041 eval-mlogloss:0.839937
[82] train-mlogloss:0.832388 eval-mlogloss:0.837374
[83] train-mlogloss:0.828947 eval-mlogloss:0.833978
[84] train-mlogloss:0.826272 eval-mlogloss:0.831245
[85] train-mlogloss:0.823278 eval-mlogloss:0.828362
[86] train-mlogloss:0.820768 eval-mlogloss:0.825934
[87] train-mlogloss:0.817756 eval-mlogloss:0.823089
[88] train-mlogloss:0.815465 eval-mlogloss:0.820788
[89] train-mlogloss:0.812937 eval-mlogloss:0.818211
[90] train-mlogloss:0.810087 eval-mlogloss:0.815407
[91] train-mlogloss:0.807761 eval-mlogloss:0.813108
[92] train-mlogloss:0.805432 eval-mlogloss:0.810810
[93] train-mlogloss:0.802992 eval-mlogloss:0.808466
[94] train-mlogloss:0.800288 eval-mlogloss:0.805913
[95] train-mlogloss:0.797923 eval-mlogloss:0.803510
[96] train-mlogloss:0.795543 eval-mlogloss:0.801216
[97] train-mlogloss:0.793359 eval-mlogloss:0.799070
[98] train-mlogloss:0.791011 eval-mlogloss:0.796734
[99] train-mlogloss:0.789147 eval-mlogloss:0.794758
[100] train-mlogloss:0.787308 eval-mlogloss:0.792917
[101] train-mlogloss:0.785271 eval-mlogloss:0.790860
[102] train-mlogloss:0.783291 eval-mlogloss:0.788962
[103] train-mlogloss:0.781019 eval-mlogloss:0.786707
[104] train-mlogloss:0.778876 eval-mlogloss:0.784601
[105] train-mlogloss:0.776629 eval-mlogloss:0.782512
[106] train-mlogloss:0.774771 eval-mlogloss:0.780731
[107] train-mlogloss:0.772920 eval-mlogloss:0.778944
[108] train-mlogloss:0.771145 eval-mlogloss:0.777197
[109] train-mlogloss:0.769383 eval-mlogloss:0.775569
[110] train-mlogloss:0.767587 eval-mlogloss:0.773746
[111] train-mlogloss:0.765816 eval-mlogloss:0.772063
[112] train-mlogloss:0.764017 eval-mlogloss:0.770315
[113] train-mlogloss:0.762149 eval-mlogloss:0.768553
[114] train-mlogloss:0.760255 eval-mlogloss:0.766552
[115] train-mlogloss:0.758334 eval-mlogloss:0.764764
[116] train-mlogloss:0.756635 eval-mlogloss:0.763133
[117] train-mlogloss:0.754638 eval-mlogloss:0.761191
[118] train-mlogloss:0.753165 eval-mlogloss:0.759670
[119] train-mlogloss:0.751661 eval-mlogloss:0.758168
[120] train-mlogloss:0.750186 eval-mlogloss:0.756672
[121] train-mlogloss:0.748737 eval-mlogloss:0.755272
[122] train-mlogloss:0.747172 eval-mlogloss:0.753646
[123] train-mlogloss:0.745554 eval-mlogloss:0.752096
[124] train-mlogloss:0.743969 eval-mlogloss:0.750565
[125] train-mlogloss:0.742479 eval-mlogloss:0.749117
[126] train-mlogloss:0.741099 eval-mlogloss:0.747783
[127] train-mlogloss:0.739523 eval-mlogloss:0.746270
[128] train-mlogloss:0.738245 eval-mlogloss:0.745130
[129] train-mlogloss:0.736719 eval-mlogloss:0.743664
[130] train-mlogloss:0.735395 eval-mlogloss:0.742360
[131] train-mlogloss:0.734132 eval-mlogloss:0.741146
[132] train-mlogloss:0.732720 eval-mlogloss:0.739812
[133] train-mlogloss:0.731374 eval-mlogloss:0.738471
[134] train-mlogloss:0.730007 eval-mlogloss:0.737054
[135] train-mlogloss:0.728728 eval-mlogloss:0.735840
[136] train-mlogloss:0.727316 eval-mlogloss:0.734452
[137] train-mlogloss:0.725920 eval-mlogloss:0.733063
[138] train-mlogloss:0.724621 eval-mlogloss:0.731844
[139] train-mlogloss:0.723480 eval-mlogloss:0.730695
[140] train-mlogloss:0.722134 eval-mlogloss:0.729236
[141] train-mlogloss:0.720858 eval-mlogloss:0.727962
[142] train-mlogloss:0.719578 eval-mlogloss:0.726771
[143] train-mlogloss:0.718482 eval-mlogloss:0.725751
[144] train-mlogloss:0.717330 eval-mlogloss:0.724587
[145] train-mlogloss:0.716033 eval-mlogloss:0.723504
[146] train-mlogloss:0.714837 eval-mlogloss:0.722307
[147] train-mlogloss:0.713707 eval-mlogloss:0.721255
[148] train-mlogloss:0.712557 eval-mlogloss:0.720033
[149] train-mlogloss:0.711473 eval-mlogloss:0.719035
[150] train-mlogloss:0.710387 eval-mlogloss:0.718010
[151] train-mlogloss:0.709118 eval-mlogloss:0.716740
[152] train-mlogloss:0.708055 eval-mlogloss:0.715665
[153] train-mlogloss:0.707116 eval-mlogloss:0.714783
[154] train-mlogloss:0.706040 eval-mlogloss:0.713656
[155] train-mlogloss:0.704897 eval-mlogloss:0.712530
[156] train-mlogloss:0.703749 eval-mlogloss:0.711383
[157] train-mlogloss:0.702815 eval-mlogloss:0.710452
[158] train-mlogloss:0.701760 eval-mlogloss:0.709334
[159] train-mlogloss:0.700812 eval-mlogloss:0.708463
[160] train-mlogloss:0.699746 eval-mlogloss:0.707369
[161] train-mlogloss:0.698646 eval-mlogloss:0.706415
[162] train-mlogloss:0.697599 eval-mlogloss:0.705449
[163] train-mlogloss:0.696729 eval-mlogloss:0.704643
[164] train-mlogloss:0.695861 eval-mlogloss:0.703829
[165] train-mlogloss:0.695011 eval-mlogloss:0.703003
[166] train-mlogloss:0.694032 eval-mlogloss:0.701955
[167] train-mlogloss:0.693073 eval-mlogloss:0.701101
[168] train-mlogloss:0.692119 eval-mlogloss:0.700230
[169] train-mlogloss:0.691235 eval-mlogloss:0.699434
[170] train-mlogloss:0.690238 eval-mlogloss:0.698478
[171] train-mlogloss:0.689330 eval-mlogloss:0.697707
[172] train-mlogloss:0.688478 eval-mlogloss:0.696860
[173] train-mlogloss:0.687475 eval-mlogloss:0.695835
[174] train-mlogloss:0.686624 eval-mlogloss:0.694967
[175] train-mlogloss:0.685790 eval-mlogloss:0.694219
[176] train-mlogloss:0.684872 eval-mlogloss:0.693327
[177] train-mlogloss:0.683984 eval-mlogloss:0.692374
[178] train-mlogloss:0.683168 eval-mlogloss:0.691567
[179] train-mlogloss:0.682343 eval-mlogloss:0.690748
[180] train-mlogloss:0.681548 eval-mlogloss:0.689975
[181] train-mlogloss:0.680688 eval-mlogloss:0.689163
[182] train-mlogloss:0.679943 eval-mlogloss:0.688453
[183] train-mlogloss:0.679110 eval-mlogloss:0.687670
[184] train-mlogloss:0.678367 eval-mlogloss:0.687011
[185] train-mlogloss:0.677575 eval-mlogloss:0.686177
[186] train-mlogloss:0.676768 eval-mlogloss:0.685438
[187] train-mlogloss:0.675989 eval-mlogloss:0.684729
[188] train-mlogloss:0.675205 eval-mlogloss:0.684005
[189] train-mlogloss:0.674449 eval-mlogloss:0.683324
[190] train-mlogloss:0.673643 eval-mlogloss:0.682517
[191] train-mlogloss:0.672892 eval-mlogloss:0.681840
[192] train-mlogloss:0.672072 eval-mlogloss:0.681038
[193] train-mlogloss:0.671321 eval-mlogloss:0.680306
[194] train-mlogloss:0.670607 eval-mlogloss:0.679656
[195] train-mlogloss:0.669891 eval-mlogloss:0.679016
[196] train-mlogloss:0.669161 eval-mlogloss:0.678381
[197] train-mlogloss:0.668423 eval-mlogloss:0.677733
[198] train-mlogloss:0.667662 eval-mlogloss:0.676944
[199] train-mlogloss:0.666955 eval-mlogloss:0.676351
[200] train-mlogloss:0.666228 eval-mlogloss:0.675601
[201] train-mlogloss:0.665521 eval-mlogloss:0.674920
[202] train-mlogloss:0.664794 eval-mlogloss:0.674259
[203] train-mlogloss:0.664064 eval-mlogloss:0.673564
[204] train-mlogloss:0.663305 eval-mlogloss:0.672765
[205] train-mlogloss:0.662550 eval-mlogloss:0.672005
[206] train-mlogloss:0.661905 eval-mlogloss:0.671426
[207] train-mlogloss:0.661232 eval-mlogloss:0.670773
[208] train-mlogloss:0.660543 eval-mlogloss:0.670084
[209] train-mlogloss:0.659854 eval-mlogloss:0.669419
[210] train-mlogloss:0.659174 eval-mlogloss:0.668730
[211] train-mlogloss:0.658540 eval-mlogloss:0.668188
[212] train-mlogloss:0.657851 eval-mlogloss:0.667480
[213] train-mlogloss:0.657190 eval-mlogloss:0.666873
[214] train-mlogloss:0.656552 eval-mlogloss:0.666249
[215] train-mlogloss:0.655932 eval-mlogloss:0.665610
[216] train-mlogloss:0.655331 eval-mlogloss:0.664988
[217] train-mlogloss:0.654654 eval-mlogloss:0.664303
[218] train-mlogloss:0.654049 eval-mlogloss:0.663720
[219] train-mlogloss:0.653418 eval-mlogloss:0.663194
[220] train-mlogloss:0.652822 eval-mlogloss:0.662655
[221] train-mlogloss:0.652243 eval-mlogloss:0.662042
[222] train-mlogloss:0.651643 eval-mlogloss:0.661395
[223] train-mlogloss:0.651007 eval-mlogloss:0.660811
[224] train-mlogloss:0.650385 eval-mlogloss:0.660257
[225] train-mlogloss:0.649800 eval-mlogloss:0.659719
[226] train-mlogloss:0.649197 eval-mlogloss:0.659058
[227] train-mlogloss:0.648617 eval-mlogloss:0.658595
[228] train-mlogloss:0.648053 eval-mlogloss:0.658093
[229] train-mlogloss:0.647461 eval-mlogloss:0.657538
[230] train-mlogloss:0.646917 eval-mlogloss:0.656991
[231] train-mlogloss:0.646367 eval-mlogloss:0.656422
[232] train-mlogloss:0.645785 eval-mlogloss:0.655856
[233] train-mlogloss:0.645220 eval-mlogloss:0.655346
[234] train-mlogloss:0.644634 eval-mlogloss:0.654841
[235] train-mlogloss:0.644046 eval-mlogloss:0.654311
[236] train-mlogloss:0.643483 eval-mlogloss:0.653814
[237] train-mlogloss:0.642935 eval-mlogloss:0.653321
[238] train-mlogloss:0.642351 eval-mlogloss:0.652845
[239] train-mlogloss:0.641823 eval-mlogloss:0.652297
[240] train-mlogloss:0.641305 eval-mlogloss:0.651815
[241] train-mlogloss:0.640759 eval-mlogloss:0.651344
[242] train-mlogloss:0.640209 eval-mlogloss:0.650831
[243] train-mlogloss:0.639655 eval-mlogloss:0.650347
[244] train-mlogloss:0.639110 eval-mlogloss:0.649918
[245] train-mlogloss:0.638538 eval-mlogloss:0.649375
[246] train-mlogloss:0.638045 eval-mlogloss:0.648943
[247] train-mlogloss:0.637509 eval-mlogloss:0.648454
[248] train-mlogloss:0.636992 eval-mlogloss:0.647970
[249] train-mlogloss:0.636459 eval-mlogloss:0.647494
[250] train-mlogloss:0.635959 eval-mlogloss:0.647056
[251] train-mlogloss:0.635439 eval-mlogloss:0.646620
[252] train-mlogloss:0.634921 eval-mlogloss:0.646168
[253] train-mlogloss:0.634411 eval-mlogloss:0.645624
[254] train-mlogloss:0.633843 eval-mlogloss:0.645143
[255] train-mlogloss:0.633291 eval-mlogloss:0.644672
[256] train-mlogloss:0.632815 eval-mlogloss:0.644232
[257] train-mlogloss:0.632334 eval-mlogloss:0.643803
[258] train-mlogloss:0.631809 eval-mlogloss:0.643320
[259] train-mlogloss:0.631316 eval-mlogloss:0.642814
[260] train-mlogloss:0.630918 eval-mlogloss:0.642469
[261] train-mlogloss:0.630503 eval-mlogloss:0.642050
[262] train-mlogloss:0.630054 eval-mlogloss:0.641659
[263] train-mlogloss:0.629570 eval-mlogloss:0.641214
[264] train-mlogloss:0.629079 eval-mlogloss:0.640834
[265] train-mlogloss:0.628621 eval-mlogloss:0.640400
[266] train-mlogloss:0.628148 eval-mlogloss:0.639978
[267] train-mlogloss:0.627714 eval-mlogloss:0.639606
[268] train-mlogloss:0.627233 eval-mlogloss:0.639125
[269] train-mlogloss:0.626761 eval-mlogloss:0.638674
[270] train-mlogloss:0.626281 eval-mlogloss:0.638345
[271] train-mlogloss:0.625850 eval-mlogloss:0.637920
[272] train-mlogloss:0.625376 eval-mlogloss:0.637517
[273] train-mlogloss:0.624916 eval-mlogloss:0.637112
[274] train-mlogloss:0.624472 eval-mlogloss:0.636690
[275] train-mlogloss:0.624048 eval-mlogloss:0.636353
[276] train-mlogloss:0.623571 eval-mlogloss:0.635879
[277] train-mlogloss:0.623147 eval-mlogloss:0.635482
[278] train-mlogloss:0.622706 eval-mlogloss:0.635138
[279] train-mlogloss:0.622226 eval-mlogloss:0.634625
[280] train-mlogloss:0.621786 eval-mlogloss:0.634170
[281] train-mlogloss:0.621390 eval-mlogloss:0.633739
[282] train-mlogloss:0.621011 eval-mlogloss:0.633357
[283] train-mlogloss:0.620601 eval-mlogloss:0.632923
[284] train-mlogloss:0.620210 eval-mlogloss:0.632554
[285] train-mlogloss:0.619776 eval-mlogloss:0.632147
[286] train-mlogloss:0.619370 eval-mlogloss:0.631827
[287] train-mlogloss:0.618959 eval-mlogloss:0.631443
[288] train-mlogloss:0.618552 eval-mlogloss:0.631076
[289] train-mlogloss:0.618103 eval-mlogloss:0.630653
[290] train-mlogloss:0.617690 eval-mlogloss:0.630319
[291] train-mlogloss:0.617297 eval-mlogloss:0.629964
[292] train-mlogloss:0.616850 eval-mlogloss:0.629567
[293] train-mlogloss:0.616406 eval-mlogloss:0.629117
[294] train-mlogloss:0.616017 eval-mlogloss:0.628802
[295] train-mlogloss:0.615640 eval-mlogloss:0.628484
[296] train-mlogloss:0.615207 eval-mlogloss:0.628088
[297] train-mlogloss:0.614756 eval-mlogloss:0.627645
[298] train-mlogloss:0.614283 eval-mlogloss:0.627246
[299] train-mlogloss:0.613893 eval-mlogloss:0.626965
[300] train-mlogloss:0.613419 eval-mlogloss:0.626600
[301] train-mlogloss:0.613032 eval-mlogloss:0.626266
[302] train-mlogloss:0.612664 eval-mlogloss:0.625913
[303] train-mlogloss:0.612313 eval-mlogloss:0.625612
[304] train-mlogloss:0.611885 eval-mlogloss:0.625186
[305] train-mlogloss:0.611506 eval-mlogloss:0.624883
[306] train-mlogloss:0.611125 eval-mlogloss:0.624507
[307] train-mlogloss:0.610717 eval-mlogloss:0.624109
[308] train-mlogloss:0.610280 eval-mlogloss:0.623646
[309] train-mlogloss:0.609883 eval-mlogloss:0.623313
[310] train-mlogloss:0.609518 eval-mlogloss:0.622959
[311] train-mlogloss:0.609121 eval-mlogloss:0.622619
[312] train-mlogloss:0.608783 eval-mlogloss:0.622371
[313] train-mlogloss:0.608392 eval-mlogloss:0.622027
[314] train-mlogloss:0.608016 eval-mlogloss:0.621611
[315] train-mlogloss:0.607581 eval-mlogloss:0.621220
[316] train-mlogloss:0.607207 eval-mlogloss:0.620873
[317] train-mlogloss:0.606884 eval-mlogloss:0.620533
[318] train-mlogloss:0.606529 eval-mlogloss:0.620200
[319] train-mlogloss:0.606205 eval-mlogloss:0.619938
[320] train-mlogloss:0.605905 eval-mlogloss:0.619682
[321] train-mlogloss:0.605522 eval-mlogloss:0.619308
[322] train-mlogloss:0.605150 eval-mlogloss:0.618976
[323] train-mlogloss:0.604820 eval-mlogloss:0.618696
[324] train-mlogloss:0.604483 eval-mlogloss:0.618397
[325] train-mlogloss:0.604104 eval-mlogloss:0.618051
[326] train-mlogloss:0.603761 eval-mlogloss:0.617767
[327] train-mlogloss:0.603410 eval-mlogloss:0.617409
[328] train-mlogloss:0.603055 eval-mlogloss:0.617112
[329] train-mlogloss:0.602683 eval-mlogloss:0.616691
[330] train-mlogloss:0.602329 eval-mlogloss:0.616380
[331] train-mlogloss:0.601992 eval-mlogloss:0.616036
[332] train-mlogloss:0.601650 eval-mlogloss:0.615719
[333] train-mlogloss:0.601325 eval-mlogloss:0.615430
[334] train-mlogloss:0.600927 eval-mlogloss:0.615071
[335] train-mlogloss:0.600579 eval-mlogloss:0.614817
[336] train-mlogloss:0.600233 eval-mlogloss:0.614587
[337] train-mlogloss:0.599897 eval-mlogloss:0.614287
[338] train-mlogloss:0.599605 eval-mlogloss:0.614041
[339] train-mlogloss:0.599237 eval-mlogloss:0.613784
[340] train-mlogloss:0.598851 eval-mlogloss:0.613450
[341] train-mlogloss:0.598552 eval-mlogloss:0.613213
[342] train-mlogloss:0.598207 eval-mlogloss:0.612924
[343] train-mlogloss:0.597851 eval-mlogloss:0.612573
[344] train-mlogloss:0.597523 eval-mlogloss:0.612285
[345] train-mlogloss:0.597148 eval-mlogloss:0.611887
[346] train-mlogloss:0.596811 eval-mlogloss:0.611624
[347] train-mlogloss:0.596497 eval-mlogloss:0.611340
[348] train-mlogloss:0.596217 eval-mlogloss:0.611074
[349] train-mlogloss:0.595920 eval-mlogloss:0.610830
[350] train-mlogloss:0.595532 eval-mlogloss:0.610567
[351] train-mlogloss:0.595209 eval-mlogloss:0.610261
[352] train-mlogloss:0.594858 eval-mlogloss:0.609937
[353] train-mlogloss:0.594564 eval-mlogloss:0.609679
[354] train-mlogloss:0.594267 eval-mlogloss:0.609412
[355] train-mlogloss:0.593931 eval-mlogloss:0.609095
[356] train-mlogloss:0.593622 eval-mlogloss:0.608873
[357] train-mlogloss:0.593272 eval-mlogloss:0.608611
[358] train-mlogloss:0.592940 eval-mlogloss:0.608281
[359] train-mlogloss:0.592668 eval-mlogloss:0.608077
[360] train-mlogloss:0.592362 eval-mlogloss:0.607778
[361] train-mlogloss:0.592051 eval-mlogloss:0.607513
[362] train-mlogloss:0.591704 eval-mlogloss:0.607110
[363] train-mlogloss:0.591446 eval-mlogloss:0.606909
[364] train-mlogloss:0.591126 eval-mlogloss:0.606626
[365] train-mlogloss:0.590832 eval-mlogloss:0.606390
[366] train-mlogloss:0.590500 eval-mlogloss:0.606187
[367] train-mlogloss:0.590157 eval-mlogloss:0.605911
[368] train-mlogloss:0.589803 eval-mlogloss:0.605612
[369] train-mlogloss:0.589503 eval-mlogloss:0.605329
[370] train-mlogloss:0.589253 eval-mlogloss:0.605109
[371] train-mlogloss:0.588954 eval-mlogloss:0.604844
[372] train-mlogloss:0.588697 eval-mlogloss:0.604637
[373] train-mlogloss:0.588386 eval-mlogloss:0.604375
[374] train-mlogloss:0.588123 eval-mlogloss:0.604189
[375] train-mlogloss:0.587819 eval-mlogloss:0.603885
[376] train-mlogloss:0.587486 eval-mlogloss:0.603660
[377] train-mlogloss:0.587189 eval-mlogloss:0.603315
[378] train-mlogloss:0.586857 eval-mlogloss:0.603050
[379] train-mlogloss:0.586538 eval-mlogloss:0.602783
[380] train-mlogloss:0.586267 eval-mlogloss:0.602518
[381] train-mlogloss:0.585972 eval-mlogloss:0.602335
[382] train-mlogloss:0.585671 eval-mlogloss:0.602046
[383] train-mlogloss:0.585378 eval-mlogloss:0.601815
[384] train-mlogloss:0.585098 eval-mlogloss:0.601551
[385] train-mlogloss:0.584815 eval-mlogloss:0.601325
[386] train-mlogloss:0.584540 eval-mlogloss:0.601070
[387] train-mlogloss:0.584273 eval-mlogloss:0.600835
[388] train-mlogloss:0.583987 eval-mlogloss:0.600627
[389] train-mlogloss:0.583722 eval-mlogloss:0.600417
[390] train-mlogloss:0.583458 eval-mlogloss:0.600180
[391] train-mlogloss:0.583169 eval-mlogloss:0.599930
[392] train-mlogloss:0.582888 eval-mlogloss:0.599722
[393] train-mlogloss:0.582603 eval-mlogloss:0.599494
[394] train-mlogloss:0.582331 eval-mlogloss:0.599234
[395] train-mlogloss:0.582027 eval-mlogloss:0.598999
[396] train-mlogloss:0.581744 eval-mlogloss:0.598830
[397] train-mlogloss:0.581479 eval-mlogloss:0.598607
[398] train-mlogloss:0.581207 eval-mlogloss:0.598375
[399] train-mlogloss:0.580932 eval-mlogloss:0.598175
[400] train-mlogloss:0.580694 eval-mlogloss:0.598007
[401] train-mlogloss:0.580437 eval-mlogloss:0.597764
[402] train-mlogloss:0.580163 eval-mlogloss:0.597575
[403] train-mlogloss:0.579890 eval-mlogloss:0.597402
[404] train-mlogloss:0.579599 eval-mlogloss:0.597198
[405] train-mlogloss:0.579337 eval-mlogloss:0.596958
[406] train-mlogloss:0.579108 eval-mlogloss:0.596767
[407] train-mlogloss:0.578854 eval-mlogloss:0.596600
[408] train-mlogloss:0.578585 eval-mlogloss:0.596374
[409] train-mlogloss:0.578319 eval-mlogloss:0.596155
[410] train-mlogloss:0.578056 eval-mlogloss:0.595935
[411] train-mlogloss:0.577819 eval-mlogloss:0.595717
[412] train-mlogloss:0.577541 eval-mlogloss:0.595458
[413] train-mlogloss:0.577300 eval-mlogloss:0.595260
[414] train-mlogloss:0.577005 eval-mlogloss:0.595104
[415] train-mlogloss:0.576745 eval-mlogloss:0.594875
[416] train-mlogloss:0.576447 eval-mlogloss:0.594610
[417] train-mlogloss:0.576156 eval-mlogloss:0.594299
[418] train-mlogloss:0.575918 eval-mlogloss:0.594095
[419] train-mlogloss:0.575654 eval-mlogloss:0.593835
[420] train-mlogloss:0.575397 eval-mlogloss:0.593589
[421] train-mlogloss:0.575105 eval-mlogloss:0.593317
[422] train-mlogloss:0.574869 eval-mlogloss:0.593138
[423] train-mlogloss:0.574593 eval-mlogloss:0.592958
[424] train-mlogloss:0.574375 eval-mlogloss:0.592789
[425] train-mlogloss:0.574116 eval-mlogloss:0.592508
[426] train-mlogloss:0.573887 eval-mlogloss:0.592331
[427] train-mlogloss:0.573655 eval-mlogloss:0.592174
[428] train-mlogloss:0.573408 eval-mlogloss:0.591959
[429] train-mlogloss:0.573183 eval-mlogloss:0.591774
[430] train-mlogloss:0.572948 eval-mlogloss:0.591617
[431] train-mlogloss:0.572706 eval-mlogloss:0.591326
[432] train-mlogloss:0.572487 eval-mlogloss:0.591171
[433] train-mlogloss:0.572194 eval-mlogloss:0.590953
[434] train-mlogloss:0.571964 eval-mlogloss:0.590869
[435] train-mlogloss:0.571701 eval-mlogloss:0.590700
[436] train-mlogloss:0.571464 eval-mlogloss:0.590506
[437] train-mlogloss:0.571211 eval-mlogloss:0.590328
[438] train-mlogloss:0.570946 eval-mlogloss:0.590109
[439] train-mlogloss:0.570742 eval-mlogloss:0.589969
[440] train-mlogloss:0.570537 eval-mlogloss:0.589788
[441] train-mlogloss:0.570314 eval-mlogloss:0.589637
[442] train-mlogloss:0.570073 eval-mlogloss:0.589431
[443] train-mlogloss:0.569820 eval-mlogloss:0.589202
[444] train-mlogloss:0.569598 eval-mlogloss:0.589057
[445] train-mlogloss:0.569380 eval-mlogloss:0.588815
[446] train-mlogloss:0.569164 eval-mlogloss:0.588658
[447] train-mlogloss:0.568891 eval-mlogloss:0.588386
[448] train-mlogloss:0.568684 eval-mlogloss:0.588269
[449] train-mlogloss:0.568483 eval-mlogloss:0.588136
[450] train-mlogloss:0.568276 eval-mlogloss:0.587992
[451] train-mlogloss:0.568033 eval-mlogloss:0.587778
[452] train-mlogloss:0.567798 eval-mlogloss:0.587583
[453] train-mlogloss:0.567596 eval-mlogloss:0.587409
[454] train-mlogloss:0.567360 eval-mlogloss:0.587213
[455] train-mlogloss:0.567163 eval-mlogloss:0.587075
[456] train-mlogloss:0.566937 eval-mlogloss:0.586841
[457] train-mlogloss:0.566693 eval-mlogloss:0.586678
[458] train-mlogloss:0.566467 eval-mlogloss:0.586490
[459] train-mlogloss:0.566261 eval-mlogloss:0.586269
[460] train-mlogloss:0.566020 eval-mlogloss:0.586046
[461] train-mlogloss:0.565764 eval-mlogloss:0.585838
[462] train-mlogloss:0.565544 eval-mlogloss:0.585630
[463] train-mlogloss:0.565350 eval-mlogloss:0.585496
[464] train-mlogloss:0.565144 eval-mlogloss:0.585305
[465] train-mlogloss:0.564884 eval-mlogloss:0.585066
[466] train-mlogloss:0.564698 eval-mlogloss:0.584924
[467] train-mlogloss:0.564463 eval-mlogloss:0.584665
[468] train-mlogloss:0.564266 eval-mlogloss:0.584503
[469] train-mlogloss:0.564032 eval-mlogloss:0.584354
[470] train-mlogloss:0.563766 eval-mlogloss:0.584153
[471] train-mlogloss:0.563579 eval-mlogloss:0.583971
[472] train-mlogloss:0.563347 eval-mlogloss:0.583806
[473] train-mlogloss:0.563185 eval-mlogloss:0.583658
[474] train-mlogloss:0.562948 eval-mlogloss:0.583434
[475] train-mlogloss:0.562679 eval-mlogloss:0.583223
[476] train-mlogloss:0.562479 eval-mlogloss:0.583042
[477] train-mlogloss:0.562261 eval-mlogloss:0.582867
[478] train-mlogloss:0.562066 eval-mlogloss:0.582707
[479] train-mlogloss:0.561860 eval-mlogloss:0.582550
[480] train-mlogloss:0.561679 eval-mlogloss:0.582431
[481] train-mlogloss:0.561466 eval-mlogloss:0.582321
[482] train-mlogloss:0.561285 eval-mlogloss:0.582220
[483] train-mlogloss:0.561062 eval-mlogloss:0.582085
[484] train-mlogloss:0.560827 eval-mlogloss:0.581868
[485] train-mlogloss:0.560642 eval-mlogloss:0.581705
[486] train-mlogloss:0.560435 eval-mlogloss:0.581515
[487] train-mlogloss:0.560250 eval-mlogloss:0.581411
[488] train-mlogloss:0.560070 eval-mlogloss:0.581312
[489] train-mlogloss:0.559846 eval-mlogloss:0.581124
[490] train-mlogloss:0.559657 eval-mlogloss:0.581011
[491] train-mlogloss:0.559474 eval-mlogloss:0.580871
[492] train-mlogloss:0.559251 eval-mlogloss:0.580710
[493] train-mlogloss:0.559032 eval-mlogloss:0.580546
[494] train-mlogloss:0.558843 eval-mlogloss:0.580406
[495] train-mlogloss:0.558622 eval-mlogloss:0.580166
[496] train-mlogloss:0.558408 eval-mlogloss:0.579977
[497] train-mlogloss:0.558184 eval-mlogloss:0.579812
[498] train-mlogloss:0.558017 eval-mlogloss:0.579723
Training with params :
{'eta': 0.07500000000000001, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 2.0, 'silent': 1, 'subsample': 0.6000000000000001, 'num_class': 9, 'min_child_weight': 5.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.55}
Score 0.5795837000701229
[499] train-mlogloss:0.557797 eval-mlogloss:0.579584
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.610759 eval-mlogloss:1.613011
[1] train-mlogloss:1.321003 eval-mlogloss:1.325419
[2] train-mlogloss:1.173223 eval-mlogloss:1.177864
[3] train-mlogloss:1.065310 eval-mlogloss:1.070833
[4] train-mlogloss:0.987948 eval-mlogloss:0.994790
[5] train-mlogloss:0.929498 eval-mlogloss:0.937436
[6] train-mlogloss:0.878939 eval-mlogloss:0.886588
[7] train-mlogloss:0.841507 eval-mlogloss:0.849654
[8] train-mlogloss:0.813514 eval-mlogloss:0.822764
[9] train-mlogloss:0.787353 eval-mlogloss:0.796407
[10] train-mlogloss:0.765493 eval-mlogloss:0.774974
[11] train-mlogloss:0.746913 eval-mlogloss:0.757468
[12] train-mlogloss:0.732443 eval-mlogloss:0.743265
[13] train-mlogloss:0.718328 eval-mlogloss:0.729418
[14] train-mlogloss:0.706388 eval-mlogloss:0.718076
[15] train-mlogloss:0.694347 eval-mlogloss:0.707220
[16] train-mlogloss:0.683518 eval-mlogloss:0.697392
[17] train-mlogloss:0.674259 eval-mlogloss:0.688301
[18] train-mlogloss:0.665794 eval-mlogloss:0.680571
[19] train-mlogloss:0.658379 eval-mlogloss:0.674010
[20] train-mlogloss:0.650978 eval-mlogloss:0.666919
[21] train-mlogloss:0.644039 eval-mlogloss:0.660662
[22] train-mlogloss:0.637347 eval-mlogloss:0.654801
[23] train-mlogloss:0.631405 eval-mlogloss:0.649458
[24] train-mlogloss:0.625845 eval-mlogloss:0.645081
[25] train-mlogloss:0.620642 eval-mlogloss:0.640024
[26] train-mlogloss:0.615137 eval-mlogloss:0.635156
[27] train-mlogloss:0.610653 eval-mlogloss:0.631214
[28] train-mlogloss:0.605912 eval-mlogloss:0.627063
[29] train-mlogloss:0.601958 eval-mlogloss:0.624157
[30] train-mlogloss:0.597258 eval-mlogloss:0.620545
[31] train-mlogloss:0.593400 eval-mlogloss:0.617163
[32] train-mlogloss:0.589390 eval-mlogloss:0.613742
[33] train-mlogloss:0.586170 eval-mlogloss:0.610846
[34] train-mlogloss:0.582482 eval-mlogloss:0.607758
[35] train-mlogloss:0.578785 eval-mlogloss:0.604601
[36] train-mlogloss:0.575759 eval-mlogloss:0.602171
[37] train-mlogloss:0.572776 eval-mlogloss:0.600000
[38] train-mlogloss:0.569653 eval-mlogloss:0.597211
[39] train-mlogloss:0.566407 eval-mlogloss:0.594779
[40] train-mlogloss:0.563433 eval-mlogloss:0.592450
[41] train-mlogloss:0.560699 eval-mlogloss:0.590682
[42] train-mlogloss:0.557949 eval-mlogloss:0.588061
[43] train-mlogloss:0.555323 eval-mlogloss:0.585873
[44] train-mlogloss:0.552290 eval-mlogloss:0.583776
[45] train-mlogloss:0.550226 eval-mlogloss:0.582338
[46] train-mlogloss:0.547444 eval-mlogloss:0.580207
[47] train-mlogloss:0.545219 eval-mlogloss:0.579146
[48] train-mlogloss:0.543018 eval-mlogloss:0.577549
[49] train-mlogloss:0.541045 eval-mlogloss:0.576144
[50] train-mlogloss:0.538545 eval-mlogloss:0.574557
[51] train-mlogloss:0.536672 eval-mlogloss:0.573162
[52] train-mlogloss:0.534527 eval-mlogloss:0.571626
[53] train-mlogloss:0.532594 eval-mlogloss:0.570120
[54] train-mlogloss:0.530482 eval-mlogloss:0.568672
[55] train-mlogloss:0.528898 eval-mlogloss:0.567690
[56] train-mlogloss:0.526953 eval-mlogloss:0.566356
[57] train-mlogloss:0.525288 eval-mlogloss:0.565111
[58] train-mlogloss:0.523076 eval-mlogloss:0.564091
[59] train-mlogloss:0.521051 eval-mlogloss:0.562936
[60] train-mlogloss:0.519204 eval-mlogloss:0.561885
[61] train-mlogloss:0.517389 eval-mlogloss:0.561014
[62] train-mlogloss:0.515693 eval-mlogloss:0.559781
[63] train-mlogloss:0.514219 eval-mlogloss:0.558673
[64] train-mlogloss:0.512521 eval-mlogloss:0.557737
[65] train-mlogloss:0.511211 eval-mlogloss:0.556927
[66] train-mlogloss:0.509236 eval-mlogloss:0.555224
[67] train-mlogloss:0.507590 eval-mlogloss:0.554292
[68] train-mlogloss:0.505886 eval-mlogloss:0.553536
[69] train-mlogloss:0.504532 eval-mlogloss:0.552677
[70] train-mlogloss:0.503084 eval-mlogloss:0.551600
[71] train-mlogloss:0.501558 eval-mlogloss:0.550932
[72] train-mlogloss:0.500067 eval-mlogloss:0.550134
[73] train-mlogloss:0.498703 eval-mlogloss:0.549424
[74] train-mlogloss:0.496897 eval-mlogloss:0.548615
[75] train-mlogloss:0.495362 eval-mlogloss:0.547752
[76] train-mlogloss:0.493566 eval-mlogloss:0.546776
[77] train-mlogloss:0.492086 eval-mlogloss:0.545994
[78] train-mlogloss:0.490781 eval-mlogloss:0.544997
[79] train-mlogloss:0.489866 eval-mlogloss:0.544400
[80] train-mlogloss:0.488627 eval-mlogloss:0.543533
[81] train-mlogloss:0.487350 eval-mlogloss:0.542764
[82] train-mlogloss:0.486288 eval-mlogloss:0.542231
[83] train-mlogloss:0.485222 eval-mlogloss:0.541630
[84] train-mlogloss:0.483516 eval-mlogloss:0.540556
[85] train-mlogloss:0.481768 eval-mlogloss:0.539522
[86] train-mlogloss:0.480533 eval-mlogloss:0.539045
[87] train-mlogloss:0.479495 eval-mlogloss:0.538470
[88] train-mlogloss:0.478119 eval-mlogloss:0.537970
[89] train-mlogloss:0.476820 eval-mlogloss:0.537179
[90] train-mlogloss:0.475801 eval-mlogloss:0.536729
[91] train-mlogloss:0.474473 eval-mlogloss:0.535960
[92] train-mlogloss:0.473040 eval-mlogloss:0.534927
[93] train-mlogloss:0.471898 eval-mlogloss:0.534562
[94] train-mlogloss:0.470675 eval-mlogloss:0.534226
[95] train-mlogloss:0.469365 eval-mlogloss:0.533049
[96] train-mlogloss:0.468210 eval-mlogloss:0.532381
[97] train-mlogloss:0.467360 eval-mlogloss:0.531977
[98] train-mlogloss:0.466486 eval-mlogloss:0.531454
[99] train-mlogloss:0.465310 eval-mlogloss:0.531038
[100] train-mlogloss:0.464270 eval-mlogloss:0.530383
[101] train-mlogloss:0.462987 eval-mlogloss:0.529603
[102] train-mlogloss:0.462177 eval-mlogloss:0.529202
[103] train-mlogloss:0.461234 eval-mlogloss:0.528774
[104] train-mlogloss:0.460451 eval-mlogloss:0.528365
[105] train-mlogloss:0.459553 eval-mlogloss:0.528041
[106] train-mlogloss:0.458566 eval-mlogloss:0.527570
[107] train-mlogloss:0.457581 eval-mlogloss:0.526962
[108] train-mlogloss:0.456652 eval-mlogloss:0.526491
[109] train-mlogloss:0.455649 eval-mlogloss:0.525597
[110] train-mlogloss:0.454666 eval-mlogloss:0.525109
[111] train-mlogloss:0.453733 eval-mlogloss:0.524529
[112] train-mlogloss:0.452573 eval-mlogloss:0.523941
[113] train-mlogloss:0.451746 eval-mlogloss:0.523409
[114] train-mlogloss:0.450803 eval-mlogloss:0.522912
[115] train-mlogloss:0.449802 eval-mlogloss:0.522291
[116] train-mlogloss:0.449011 eval-mlogloss:0.521951
[117] train-mlogloss:0.448245 eval-mlogloss:0.521778
[118] train-mlogloss:0.447425 eval-mlogloss:0.521668
[119] train-mlogloss:0.446437 eval-mlogloss:0.521385
[120] train-mlogloss:0.445717 eval-mlogloss:0.521169
[121] train-mlogloss:0.444812 eval-mlogloss:0.520814
[122] train-mlogloss:0.443545 eval-mlogloss:0.519997
[123] train-mlogloss:0.442647 eval-mlogloss:0.519612
[124] train-mlogloss:0.441836 eval-mlogloss:0.519404
[125] train-mlogloss:0.440881 eval-mlogloss:0.518887
[126] train-mlogloss:0.439907 eval-mlogloss:0.518602
[127] train-mlogloss:0.438921 eval-mlogloss:0.518263
[128] train-mlogloss:0.437916 eval-mlogloss:0.517867
[129] train-mlogloss:0.436854 eval-mlogloss:0.516959
[130] train-mlogloss:0.435991 eval-mlogloss:0.516519
[131] train-mlogloss:0.435090 eval-mlogloss:0.516195
[132] train-mlogloss:0.434403 eval-mlogloss:0.515816
[133] train-mlogloss:0.433670 eval-mlogloss:0.515599
[134] train-mlogloss:0.432973 eval-mlogloss:0.515405
[135] train-mlogloss:0.432279 eval-mlogloss:0.515127
[136] train-mlogloss:0.431544 eval-mlogloss:0.514540
[137] train-mlogloss:0.430715 eval-mlogloss:0.514331
[138] train-mlogloss:0.429929 eval-mlogloss:0.513789
[139] train-mlogloss:0.428973 eval-mlogloss:0.513441
[140] train-mlogloss:0.428240 eval-mlogloss:0.513123
[141] train-mlogloss:0.427560 eval-mlogloss:0.513057
[142] train-mlogloss:0.427038 eval-mlogloss:0.512902
[143] train-mlogloss:0.426284 eval-mlogloss:0.512778
[144] train-mlogloss:0.425458 eval-mlogloss:0.512133
[145] train-mlogloss:0.424734 eval-mlogloss:0.511922
[146] train-mlogloss:0.424007 eval-mlogloss:0.511784
[147] train-mlogloss:0.423230 eval-mlogloss:0.511760
[148] train-mlogloss:0.422366 eval-mlogloss:0.511471
[149] train-mlogloss:0.421577 eval-mlogloss:0.511336
[150] train-mlogloss:0.420823 eval-mlogloss:0.511122
[151] train-mlogloss:0.420065 eval-mlogloss:0.510546
[152] train-mlogloss:0.419402 eval-mlogloss:0.510236
[153] train-mlogloss:0.418883 eval-mlogloss:0.510124
[154] train-mlogloss:0.418402 eval-mlogloss:0.509904
[155] train-mlogloss:0.417663 eval-mlogloss:0.509603
[156] train-mlogloss:0.417104 eval-mlogloss:0.509303
[157] train-mlogloss:0.416401 eval-mlogloss:0.509014
[158] train-mlogloss:0.415773 eval-mlogloss:0.508780
[159] train-mlogloss:0.415056 eval-mlogloss:0.508760
[160] train-mlogloss:0.414176 eval-mlogloss:0.508546
[161] train-mlogloss:0.413539 eval-mlogloss:0.508530
[162] train-mlogloss:0.412949 eval-mlogloss:0.508325
[163] train-mlogloss:0.412316 eval-mlogloss:0.508186
[164] train-mlogloss:0.411609 eval-mlogloss:0.507952
[165] train-mlogloss:0.410863 eval-mlogloss:0.507599
[166] train-mlogloss:0.410057 eval-mlogloss:0.507318
[167] train-mlogloss:0.409291 eval-mlogloss:0.507014
[168] train-mlogloss:0.408812 eval-mlogloss:0.507019
[169] train-mlogloss:0.408116 eval-mlogloss:0.506821
[170] train-mlogloss:0.407379 eval-mlogloss:0.506681
[171] train-mlogloss:0.406693 eval-mlogloss:0.506420
[172] train-mlogloss:0.405977 eval-mlogloss:0.506154
[173] train-mlogloss:0.405544 eval-mlogloss:0.505974
[174] train-mlogloss:0.404917 eval-mlogloss:0.505702
[175] train-mlogloss:0.404381 eval-mlogloss:0.505590
[176] train-mlogloss:0.403802 eval-mlogloss:0.505489
[177] train-mlogloss:0.402960 eval-mlogloss:0.505208
[178] train-mlogloss:0.402330 eval-mlogloss:0.505098
[179] train-mlogloss:0.401741 eval-mlogloss:0.505096
[180] train-mlogloss:0.400961 eval-mlogloss:0.504860
[181] train-mlogloss:0.400263 eval-mlogloss:0.504794
[182] train-mlogloss:0.399467 eval-mlogloss:0.504591
[183] train-mlogloss:0.398934 eval-mlogloss:0.504515
[184] train-mlogloss:0.398272 eval-mlogloss:0.504193
[185] train-mlogloss:0.397910 eval-mlogloss:0.504216
[186] train-mlogloss:0.397342 eval-mlogloss:0.503897
[187] train-mlogloss:0.396655 eval-mlogloss:0.503695
[188] train-mlogloss:0.396056 eval-mlogloss:0.503451
[189] train-mlogloss:0.395464 eval-mlogloss:0.503232
[190] train-mlogloss:0.394964 eval-mlogloss:0.503053
[191] train-mlogloss:0.394366 eval-mlogloss:0.502822
[192] train-mlogloss:0.393753 eval-mlogloss:0.502795
[193] train-mlogloss:0.393055 eval-mlogloss:0.502563
[194] train-mlogloss:0.392360 eval-mlogloss:0.502266
[195] train-mlogloss:0.391677 eval-mlogloss:0.501950
[196] train-mlogloss:0.391060 eval-mlogloss:0.501825
[197] train-mlogloss:0.390538 eval-mlogloss:0.501781
[198] train-mlogloss:0.390037 eval-mlogloss:0.501639
[199] train-mlogloss:0.389710 eval-mlogloss:0.501591
[200] train-mlogloss:0.389228 eval-mlogloss:0.501527
[201] train-mlogloss:0.388664 eval-mlogloss:0.501132
[202] train-mlogloss:0.388155 eval-mlogloss:0.501004
[203] train-mlogloss:0.387503 eval-mlogloss:0.500892
[204] train-mlogloss:0.386880 eval-mlogloss:0.500628
[205] train-mlogloss:0.386023 eval-mlogloss:0.500055
[206] train-mlogloss:0.385438 eval-mlogloss:0.499953
[207] train-mlogloss:0.384866 eval-mlogloss:0.499827
[208] train-mlogloss:0.384554 eval-mlogloss:0.499817
[209] train-mlogloss:0.383972 eval-mlogloss:0.499924
[210] train-mlogloss:0.383326 eval-mlogloss:0.499691
[211] train-mlogloss:0.383011 eval-mlogloss:0.499670
[212] train-mlogloss:0.382558 eval-mlogloss:0.499638
[213] train-mlogloss:0.382019 eval-mlogloss:0.499481
[214] train-mlogloss:0.381489 eval-mlogloss:0.499399
[215] train-mlogloss:0.381050 eval-mlogloss:0.499318
[216] train-mlogloss:0.380500 eval-mlogloss:0.499236
[217] train-mlogloss:0.380020 eval-mlogloss:0.499107
[218] train-mlogloss:0.379433 eval-mlogloss:0.498967
[219] train-mlogloss:0.378839 eval-mlogloss:0.499014
[220] train-mlogloss:0.378381 eval-mlogloss:0.498952
[221] train-mlogloss:0.377813 eval-mlogloss:0.498662
[222] train-mlogloss:0.377392 eval-mlogloss:0.498655
[223] train-mlogloss:0.376929 eval-mlogloss:0.498683
[224] train-mlogloss:0.376591 eval-mlogloss:0.498562
[225] train-mlogloss:0.376090 eval-mlogloss:0.498576
[226] train-mlogloss:0.375726 eval-mlogloss:0.498596
[227] train-mlogloss:0.375384 eval-mlogloss:0.498379
[228] train-mlogloss:0.374958 eval-mlogloss:0.498191
[229] train-mlogloss:0.374263 eval-mlogloss:0.498095
[230] train-mlogloss:0.373700 eval-mlogloss:0.497903
[231] train-mlogloss:0.373168 eval-mlogloss:0.497816
[232] train-mlogloss:0.372789 eval-mlogloss:0.497764
[233] train-mlogloss:0.372221 eval-mlogloss:0.497492
[234] train-mlogloss:0.371788 eval-mlogloss:0.497220
[235] train-mlogloss:0.371260 eval-mlogloss:0.497197
[236] train-mlogloss:0.370751 eval-mlogloss:0.497266
[237] train-mlogloss:0.370264 eval-mlogloss:0.497232
[238] train-mlogloss:0.369816 eval-mlogloss:0.497238
[239] train-mlogloss:0.369264 eval-mlogloss:0.497041
[240] train-mlogloss:0.368629 eval-mlogloss:0.497012
[241] train-mlogloss:0.368252 eval-mlogloss:0.496969
[242] train-mlogloss:0.367692 eval-mlogloss:0.496637
[243] train-mlogloss:0.367348 eval-mlogloss:0.496565
[244] train-mlogloss:0.366819 eval-mlogloss:0.496502
[245] train-mlogloss:0.366469 eval-mlogloss:0.496440
[246] train-mlogloss:0.365915 eval-mlogloss:0.496310
[247] train-mlogloss:0.365391 eval-mlogloss:0.496327
[248] train-mlogloss:0.365208 eval-mlogloss:0.496259
[249] train-mlogloss:0.364810 eval-mlogloss:0.496247
[250] train-mlogloss:0.364219 eval-mlogloss:0.496224
[251] train-mlogloss:0.363868 eval-mlogloss:0.495968
[252] train-mlogloss:0.363366 eval-mlogloss:0.495700
[253] train-mlogloss:0.362918 eval-mlogloss:0.495806
[254] train-mlogloss:0.362488 eval-mlogloss:0.495820
[255] train-mlogloss:0.362129 eval-mlogloss:0.495687
[256] train-mlogloss:0.361624 eval-mlogloss:0.495442
[257] train-mlogloss:0.361060 eval-mlogloss:0.495378
[258] train-mlogloss:0.360664 eval-mlogloss:0.495357
[259] train-mlogloss:0.360149 eval-mlogloss:0.495481
[260] train-mlogloss:0.359856 eval-mlogloss:0.495614
[261] train-mlogloss:0.359369 eval-mlogloss:0.495497
[262] train-mlogloss:0.359109 eval-mlogloss:0.495356
[263] train-mlogloss:0.358715 eval-mlogloss:0.495155
[264] train-mlogloss:0.358265 eval-mlogloss:0.495174
[265] train-mlogloss:0.357886 eval-mlogloss:0.495194
[266] train-mlogloss:0.357389 eval-mlogloss:0.494928
[267] train-mlogloss:0.356995 eval-mlogloss:0.494869
[268] train-mlogloss:0.356624 eval-mlogloss:0.494667
[269] train-mlogloss:0.356096 eval-mlogloss:0.494499
[270] train-mlogloss:0.355640 eval-mlogloss:0.494422
[271] train-mlogloss:0.355175 eval-mlogloss:0.494416
[272] train-mlogloss:0.354613 eval-mlogloss:0.494273
[273] train-mlogloss:0.354261 eval-mlogloss:0.494161
[274] train-mlogloss:0.353888 eval-mlogloss:0.494177
[275] train-mlogloss:0.353620 eval-mlogloss:0.494106
[276] train-mlogloss:0.353181 eval-mlogloss:0.494071
[277] train-mlogloss:0.352866 eval-mlogloss:0.493948
[278] train-mlogloss:0.352509 eval-mlogloss:0.493892
[279] train-mlogloss:0.352285 eval-mlogloss:0.493760
[280] train-mlogloss:0.351959 eval-mlogloss:0.493563
[281] train-mlogloss:0.351584 eval-mlogloss:0.493344
[282] train-mlogloss:0.351238 eval-mlogloss:0.493298
[283] train-mlogloss:0.350880 eval-mlogloss:0.493347
[284] train-mlogloss:0.350476 eval-mlogloss:0.493487
[285] train-mlogloss:0.350222 eval-mlogloss:0.493501
[286] train-mlogloss:0.349987 eval-mlogloss:0.493475
[287] train-mlogloss:0.349655 eval-mlogloss:0.493409
[288] train-mlogloss:0.349145 eval-mlogloss:0.493544
[289] train-mlogloss:0.348860 eval-mlogloss:0.493462
[290] train-mlogloss:0.348354 eval-mlogloss:0.493499
[291] train-mlogloss:0.347730 eval-mlogloss:0.493375
Training with params :
{'eta': 0.4, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.75, 'max_depth': 3.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9500000000000001}
Score 0.4933584097173418
[292] train-mlogloss:0.347471 eval-mlogloss:0.493359
Stopping. Best iteration:
[282] train-mlogloss:0.351238 eval-mlogloss:0.493298
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.588231 eval-mlogloss:1.604559
[1] train-mlogloss:1.297387 eval-mlogloss:1.325998
[2] train-mlogloss:1.116889 eval-mlogloss:1.154557
[3] train-mlogloss:0.988612 eval-mlogloss:1.034036
[4] train-mlogloss:0.887681 eval-mlogloss:0.941606
[5] train-mlogloss:0.809831 eval-mlogloss:0.872532
[6] train-mlogloss:0.743117 eval-mlogloss:0.813048
[7] train-mlogloss:0.685615 eval-mlogloss:0.762240
[8] train-mlogloss:0.643554 eval-mlogloss:0.725770
[9] train-mlogloss:0.608289 eval-mlogloss:0.695723
[10] train-mlogloss:0.574930 eval-mlogloss:0.669390
[11] train-mlogloss:0.551142 eval-mlogloss:0.649076
[12] train-mlogloss:0.527804 eval-mlogloss:0.630588
[13] train-mlogloss:0.506380 eval-mlogloss:0.614920
[14] train-mlogloss:0.487101 eval-mlogloss:0.601238
[15] train-mlogloss:0.471435 eval-mlogloss:0.590132
[16] train-mlogloss:0.458419 eval-mlogloss:0.581256
[17] train-mlogloss:0.444246 eval-mlogloss:0.572247
[18] train-mlogloss:0.433321 eval-mlogloss:0.564581
[19] train-mlogloss:0.424129 eval-mlogloss:0.558423
[20] train-mlogloss:0.414784 eval-mlogloss:0.551962
[21] train-mlogloss:0.405822 eval-mlogloss:0.547522
[22] train-mlogloss:0.398208 eval-mlogloss:0.542781
[23] train-mlogloss:0.389373 eval-mlogloss:0.538247
[24] train-mlogloss:0.381666 eval-mlogloss:0.533798
[25] train-mlogloss:0.374676 eval-mlogloss:0.529949
[26] train-mlogloss:0.369126 eval-mlogloss:0.526597
[27] train-mlogloss:0.364362 eval-mlogloss:0.524104
[28] train-mlogloss:0.358542 eval-mlogloss:0.521373
[29] train-mlogloss:0.352817 eval-mlogloss:0.518475
[30] train-mlogloss:0.347347 eval-mlogloss:0.516307
[31] train-mlogloss:0.341937 eval-mlogloss:0.513674
[32] train-mlogloss:0.338141 eval-mlogloss:0.512732
[33] train-mlogloss:0.333856 eval-mlogloss:0.510838
[34] train-mlogloss:0.329278 eval-mlogloss:0.509039
[35] train-mlogloss:0.325139 eval-mlogloss:0.506969
[36] train-mlogloss:0.321921 eval-mlogloss:0.505752
[37] train-mlogloss:0.317462 eval-mlogloss:0.504789
[38] train-mlogloss:0.314605 eval-mlogloss:0.503592
[39] train-mlogloss:0.311239 eval-mlogloss:0.502534
[40] train-mlogloss:0.307501 eval-mlogloss:0.501981
[41] train-mlogloss:0.303923 eval-mlogloss:0.500961
[42] train-mlogloss:0.299920 eval-mlogloss:0.500107
[43] train-mlogloss:0.297079 eval-mlogloss:0.499212
[44] train-mlogloss:0.293110 eval-mlogloss:0.497540
[45] train-mlogloss:0.289914 eval-mlogloss:0.496858
[46] train-mlogloss:0.286729 eval-mlogloss:0.495656
[47] train-mlogloss:0.283561 eval-mlogloss:0.494588
[48] train-mlogloss:0.280836 eval-mlogloss:0.493956
[49] train-mlogloss:0.278008 eval-mlogloss:0.493587
[50] train-mlogloss:0.275400 eval-mlogloss:0.492738
[51] train-mlogloss:0.272045 eval-mlogloss:0.492436
[52] train-mlogloss:0.269193 eval-mlogloss:0.491569
[53] train-mlogloss:0.266658 eval-mlogloss:0.490994
[54] train-mlogloss:0.264399 eval-mlogloss:0.490720
[55] train-mlogloss:0.262413 eval-mlogloss:0.490270
[56] train-mlogloss:0.259674 eval-mlogloss:0.489617
[57] train-mlogloss:0.257142 eval-mlogloss:0.489377
[58] train-mlogloss:0.254674 eval-mlogloss:0.488989
[59] train-mlogloss:0.252230 eval-mlogloss:0.488474
[60] train-mlogloss:0.249549 eval-mlogloss:0.488027
[61] train-mlogloss:0.247285 eval-mlogloss:0.487339
[62] train-mlogloss:0.245059 eval-mlogloss:0.486735
[63] train-mlogloss:0.242982 eval-mlogloss:0.486124
[64] train-mlogloss:0.240905 eval-mlogloss:0.486019
[65] train-mlogloss:0.239679 eval-mlogloss:0.485479
[66] train-mlogloss:0.237914 eval-mlogloss:0.485187
[67] train-mlogloss:0.235766 eval-mlogloss:0.485378
[68] train-mlogloss:0.233850 eval-mlogloss:0.484810
[69] train-mlogloss:0.231755 eval-mlogloss:0.484821
[70] train-mlogloss:0.230053 eval-mlogloss:0.484877
[71] train-mlogloss:0.228597 eval-mlogloss:0.485054
[72] train-mlogloss:0.227216 eval-mlogloss:0.484700
[73] train-mlogloss:0.225209 eval-mlogloss:0.484438
[74] train-mlogloss:0.223427 eval-mlogloss:0.483906
[75] train-mlogloss:0.221544 eval-mlogloss:0.483591
[76] train-mlogloss:0.220282 eval-mlogloss:0.483411
[77] train-mlogloss:0.218567 eval-mlogloss:0.483265
[78] train-mlogloss:0.217233 eval-mlogloss:0.483641
[79] train-mlogloss:0.215595 eval-mlogloss:0.483563
[80] train-mlogloss:0.214108 eval-mlogloss:0.483755
[81] train-mlogloss:0.212506 eval-mlogloss:0.483814
[82] train-mlogloss:0.210682 eval-mlogloss:0.483587
[83] train-mlogloss:0.209032 eval-mlogloss:0.483857
[84] train-mlogloss:0.206867 eval-mlogloss:0.483720
[85] train-mlogloss:0.205209 eval-mlogloss:0.483578
[86] train-mlogloss:0.203840 eval-mlogloss:0.483377
[87] train-mlogloss:0.202404 eval-mlogloss:0.483464
Training with params :
{'eta': 0.30000000000000004, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.6000000000000001, 'max_depth': 10.0, 'silent': 1, 'subsample': 0.55, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9500000000000001}
Score 0.48346372328566994
Stopping. Best iteration:
[77] train-mlogloss:0.218567 eval-mlogloss:0.483265
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.871813 eval-mlogloss:1.888080
[1] train-mlogloss:1.658309 eval-mlogloss:1.686922
[2] train-mlogloss:1.495173 eval-mlogloss:1.536688
[3] train-mlogloss:1.360700 eval-mlogloss:1.411712
[4] train-mlogloss:1.252871 eval-mlogloss:1.312396
[5] train-mlogloss:1.159940 eval-mlogloss:1.227688
[6] train-mlogloss:1.078916 eval-mlogloss:1.154195
[7] train-mlogloss:1.005081 eval-mlogloss:1.088377
[8] train-mlogloss:0.940367 eval-mlogloss:1.030620
[9] train-mlogloss:0.885680 eval-mlogloss:0.982293
[10] train-mlogloss:0.835354 eval-mlogloss:0.937824
[11] train-mlogloss:0.790558 eval-mlogloss:0.899580
[12] train-mlogloss:0.749856 eval-mlogloss:0.865005
[13] train-mlogloss:0.713223 eval-mlogloss:0.832940
[14] train-mlogloss:0.681213 eval-mlogloss:0.804650
[15] train-mlogloss:0.651187 eval-mlogloss:0.779428
[16] train-mlogloss:0.623591 eval-mlogloss:0.756219
[17] train-mlogloss:0.598029 eval-mlogloss:0.735547
[18] train-mlogloss:0.572819 eval-mlogloss:0.716277
[19] train-mlogloss:0.550935 eval-mlogloss:0.698782
[20] train-mlogloss:0.529889 eval-mlogloss:0.682712
[21] train-mlogloss:0.511820 eval-mlogloss:0.668550
[22] train-mlogloss:0.495004 eval-mlogloss:0.655193
[23] train-mlogloss:0.479179 eval-mlogloss:0.642959
[24] train-mlogloss:0.463325 eval-mlogloss:0.631332
[25] train-mlogloss:0.450425 eval-mlogloss:0.621567
[26] train-mlogloss:0.437760 eval-mlogloss:0.611917
[27] train-mlogloss:0.426726 eval-mlogloss:0.603503
[28] train-mlogloss:0.416511 eval-mlogloss:0.595163
[29] train-mlogloss:0.407941 eval-mlogloss:0.588348
[30] train-mlogloss:0.399820 eval-mlogloss:0.582336
[31] train-mlogloss:0.391279 eval-mlogloss:0.575729
[32] train-mlogloss:0.384032 eval-mlogloss:0.570343
[33] train-mlogloss:0.376151 eval-mlogloss:0.565101
[34] train-mlogloss:0.368932 eval-mlogloss:0.559950
[35] train-mlogloss:0.361381 eval-mlogloss:0.555262
[36] train-mlogloss:0.354822 eval-mlogloss:0.551079
[37] train-mlogloss:0.348085 eval-mlogloss:0.546734
[38] train-mlogloss:0.342766 eval-mlogloss:0.542876
[39] train-mlogloss:0.337680 eval-mlogloss:0.539141
[40] train-mlogloss:0.333261 eval-mlogloss:0.535758
[41] train-mlogloss:0.328646 eval-mlogloss:0.532392
[42] train-mlogloss:0.324840 eval-mlogloss:0.529670
[43] train-mlogloss:0.321285 eval-mlogloss:0.526883
[44] train-mlogloss:0.316772 eval-mlogloss:0.524026
[45] train-mlogloss:0.312478 eval-mlogloss:0.521312
[46] train-mlogloss:0.308958 eval-mlogloss:0.519088
[47] train-mlogloss:0.305106 eval-mlogloss:0.516852
[48] train-mlogloss:0.301920 eval-mlogloss:0.514973
[49] train-mlogloss:0.298752 eval-mlogloss:0.512942
[50] train-mlogloss:0.296154 eval-mlogloss:0.511083
[51] train-mlogloss:0.293290 eval-mlogloss:0.509266
[52] train-mlogloss:0.290027 eval-mlogloss:0.507421
[53] train-mlogloss:0.287646 eval-mlogloss:0.505662
[54] train-mlogloss:0.284711 eval-mlogloss:0.504050
[55] train-mlogloss:0.281612 eval-mlogloss:0.502350
[56] train-mlogloss:0.278932 eval-mlogloss:0.501014
[57] train-mlogloss:0.276580 eval-mlogloss:0.499535
[58] train-mlogloss:0.274356 eval-mlogloss:0.498233
[59] train-mlogloss:0.272220 eval-mlogloss:0.497057
[60] train-mlogloss:0.270136 eval-mlogloss:0.495922
[61] train-mlogloss:0.268101 eval-mlogloss:0.494502
[62] train-mlogloss:0.265842 eval-mlogloss:0.493293
[63] train-mlogloss:0.263602 eval-mlogloss:0.492208
[64] train-mlogloss:0.261500 eval-mlogloss:0.491103
[65] train-mlogloss:0.259912 eval-mlogloss:0.490129
[66] train-mlogloss:0.258205 eval-mlogloss:0.489202
[67] train-mlogloss:0.256399 eval-mlogloss:0.488250
[68] train-mlogloss:0.254031 eval-mlogloss:0.487358
[69] train-mlogloss:0.252010 eval-mlogloss:0.486478
[70] train-mlogloss:0.250685 eval-mlogloss:0.485639
[71] train-mlogloss:0.248647 eval-mlogloss:0.484980
[72] train-mlogloss:0.246492 eval-mlogloss:0.484166
[73] train-mlogloss:0.244103 eval-mlogloss:0.483391
[74] train-mlogloss:0.242076 eval-mlogloss:0.482401
[75] train-mlogloss:0.240122 eval-mlogloss:0.481933
[76] train-mlogloss:0.238688 eval-mlogloss:0.481113
[77] train-mlogloss:0.236927 eval-mlogloss:0.480654
[78] train-mlogloss:0.235387 eval-mlogloss:0.480249
[79] train-mlogloss:0.234007 eval-mlogloss:0.479657
[80] train-mlogloss:0.232531 eval-mlogloss:0.478993
[81] train-mlogloss:0.231284 eval-mlogloss:0.478475
[82] train-mlogloss:0.229348 eval-mlogloss:0.477862
[83] train-mlogloss:0.228116 eval-mlogloss:0.477363
[84] train-mlogloss:0.226936 eval-mlogloss:0.476755
[85] train-mlogloss:0.225615 eval-mlogloss:0.476179
[86] train-mlogloss:0.224175 eval-mlogloss:0.475842
[87] train-mlogloss:0.222977 eval-mlogloss:0.475394
[88] train-mlogloss:0.221652 eval-mlogloss:0.474988
[89] train-mlogloss:0.220359 eval-mlogloss:0.474580
[90] train-mlogloss:0.219338 eval-mlogloss:0.474248
[91] train-mlogloss:0.218058 eval-mlogloss:0.473696
[92] train-mlogloss:0.217102 eval-mlogloss:0.473465
[93] train-mlogloss:0.215536 eval-mlogloss:0.472943
[94] train-mlogloss:0.214201 eval-mlogloss:0.472698
[95] train-mlogloss:0.212913 eval-mlogloss:0.472221
[96] train-mlogloss:0.211874 eval-mlogloss:0.471919
[97] train-mlogloss:0.210731 eval-mlogloss:0.471633
[98] train-mlogloss:0.209481 eval-mlogloss:0.471411
[99] train-mlogloss:0.208366 eval-mlogloss:0.471063
[100] train-mlogloss:0.207437 eval-mlogloss:0.470809
[101] train-mlogloss:0.206646 eval-mlogloss:0.470463
[102] train-mlogloss:0.205639 eval-mlogloss:0.470093
[103] train-mlogloss:0.204681 eval-mlogloss:0.469778
[104] train-mlogloss:0.203992 eval-mlogloss:0.469473
[105] train-mlogloss:0.202792 eval-mlogloss:0.469123
[106] train-mlogloss:0.201639 eval-mlogloss:0.468728
[107] train-mlogloss:0.200585 eval-mlogloss:0.468552
[108] train-mlogloss:0.199215 eval-mlogloss:0.468307
[109] train-mlogloss:0.198016 eval-mlogloss:0.468088
[110] train-mlogloss:0.196746 eval-mlogloss:0.467739
[111] train-mlogloss:0.195488 eval-mlogloss:0.467296
[112] train-mlogloss:0.194715 eval-mlogloss:0.467000
[113] train-mlogloss:0.193777 eval-mlogloss:0.466878
[114] train-mlogloss:0.192502 eval-mlogloss:0.466659
[115] train-mlogloss:0.191882 eval-mlogloss:0.466522
[116] train-mlogloss:0.191052 eval-mlogloss:0.466307
[117] train-mlogloss:0.190202 eval-mlogloss:0.466136
[118] train-mlogloss:0.189234 eval-mlogloss:0.465856
[119] train-mlogloss:0.188440 eval-mlogloss:0.465608
[120] train-mlogloss:0.187573 eval-mlogloss:0.465375
[121] train-mlogloss:0.186550 eval-mlogloss:0.465080
[122] train-mlogloss:0.185736 eval-mlogloss:0.464882
[123] train-mlogloss:0.185105 eval-mlogloss:0.464778
[124] train-mlogloss:0.184464 eval-mlogloss:0.464449
[125] train-mlogloss:0.183348 eval-mlogloss:0.464160
[126] train-mlogloss:0.182792 eval-mlogloss:0.464050
[127] train-mlogloss:0.182143 eval-mlogloss:0.463906
[128] train-mlogloss:0.181255 eval-mlogloss:0.463780
[129] train-mlogloss:0.180786 eval-mlogloss:0.463601
[130] train-mlogloss:0.180082 eval-mlogloss:0.463187
[131] train-mlogloss:0.179489 eval-mlogloss:0.462986
[132] train-mlogloss:0.178694 eval-mlogloss:0.462841
[133] train-mlogloss:0.178006 eval-mlogloss:0.462769
[134] train-mlogloss:0.176987 eval-mlogloss:0.462502
[135] train-mlogloss:0.175970 eval-mlogloss:0.462262
[136] train-mlogloss:0.175389 eval-mlogloss:0.462076
[137] train-mlogloss:0.174783 eval-mlogloss:0.462031
[138] train-mlogloss:0.174197 eval-mlogloss:0.461894
[139] train-mlogloss:0.173521 eval-mlogloss:0.461740
[140] train-mlogloss:0.173172 eval-mlogloss:0.461700
[141] train-mlogloss:0.172575 eval-mlogloss:0.461670
[142] train-mlogloss:0.171917 eval-mlogloss:0.461524
[143] train-mlogloss:0.171305 eval-mlogloss:0.461305
[144] train-mlogloss:0.170829 eval-mlogloss:0.461168
[145] train-mlogloss:0.169982 eval-mlogloss:0.461137
[146] train-mlogloss:0.169316 eval-mlogloss:0.460835
[147] train-mlogloss:0.168755 eval-mlogloss:0.460747
[148] train-mlogloss:0.168120 eval-mlogloss:0.460770
[149] train-mlogloss:0.167486 eval-mlogloss:0.460567
[150] train-mlogloss:0.166673 eval-mlogloss:0.460253
[151] train-mlogloss:0.166333 eval-mlogloss:0.460193
[152] train-mlogloss:0.165535 eval-mlogloss:0.460128
[153] train-mlogloss:0.164950 eval-mlogloss:0.460163
[154] train-mlogloss:0.164341 eval-mlogloss:0.460145
[155] train-mlogloss:0.163769 eval-mlogloss:0.459964
[156] train-mlogloss:0.163050 eval-mlogloss:0.459914
[157] train-mlogloss:0.162492 eval-mlogloss:0.459864
[158] train-mlogloss:0.161915 eval-mlogloss:0.459726
[159] train-mlogloss:0.161389 eval-mlogloss:0.459589
[160] train-mlogloss:0.160873 eval-mlogloss:0.459603
[161] train-mlogloss:0.160158 eval-mlogloss:0.459559
[162] train-mlogloss:0.159327 eval-mlogloss:0.459410
[163] train-mlogloss:0.158955 eval-mlogloss:0.459247
[164] train-mlogloss:0.158026 eval-mlogloss:0.459364
[165] train-mlogloss:0.157186 eval-mlogloss:0.459348
[166] train-mlogloss:0.156712 eval-mlogloss:0.459337
[167] train-mlogloss:0.156200 eval-mlogloss:0.459173
[168] train-mlogloss:0.155766 eval-mlogloss:0.459237
[169] train-mlogloss:0.155189 eval-mlogloss:0.459262
[170] train-mlogloss:0.154706 eval-mlogloss:0.459357
[171] train-mlogloss:0.153949 eval-mlogloss:0.459216
[172] train-mlogloss:0.153660 eval-mlogloss:0.459245
[173] train-mlogloss:0.153079 eval-mlogloss:0.459265
[174] train-mlogloss:0.152775 eval-mlogloss:0.459188
[175] train-mlogloss:0.152176 eval-mlogloss:0.459095
[176] train-mlogloss:0.151701 eval-mlogloss:0.459144
[177] train-mlogloss:0.151400 eval-mlogloss:0.459078
[178] train-mlogloss:0.150600 eval-mlogloss:0.459132
[179] train-mlogloss:0.150147 eval-mlogloss:0.459208
[180] train-mlogloss:0.149869 eval-mlogloss:0.459063
[181] train-mlogloss:0.149172 eval-mlogloss:0.459136
[182] train-mlogloss:0.148603 eval-mlogloss:0.459071
[183] train-mlogloss:0.148104 eval-mlogloss:0.459088
[184] train-mlogloss:0.147665 eval-mlogloss:0.459039
[185] train-mlogloss:0.147257 eval-mlogloss:0.459032
[186] train-mlogloss:0.146678 eval-mlogloss:0.459011
[187] train-mlogloss:0.146253 eval-mlogloss:0.459012
[188] train-mlogloss:0.145811 eval-mlogloss:0.458975
[189] train-mlogloss:0.145415 eval-mlogloss:0.458893
[190] train-mlogloss:0.145114 eval-mlogloss:0.458889
[191] train-mlogloss:0.144757 eval-mlogloss:0.458876
[192] train-mlogloss:0.144387 eval-mlogloss:0.458922
[193] train-mlogloss:0.143881 eval-mlogloss:0.458959
[194] train-mlogloss:0.143621 eval-mlogloss:0.458852
[195] train-mlogloss:0.143105 eval-mlogloss:0.458819
[196] train-mlogloss:0.142905 eval-mlogloss:0.458773
[197] train-mlogloss:0.142580 eval-mlogloss:0.458748
[198] train-mlogloss:0.142066 eval-mlogloss:0.458848
[199] train-mlogloss:0.141829 eval-mlogloss:0.458864
[200] train-mlogloss:0.141315 eval-mlogloss:0.458941
[201] train-mlogloss:0.140956 eval-mlogloss:0.458894
[202] train-mlogloss:0.140594 eval-mlogloss:0.458893
[203] train-mlogloss:0.140054 eval-mlogloss:0.458888
[204] train-mlogloss:0.139769 eval-mlogloss:0.458893
[205] train-mlogloss:0.139330 eval-mlogloss:0.458883
[206] train-mlogloss:0.139140 eval-mlogloss:0.458946
[207] train-mlogloss:0.138561 eval-mlogloss:0.458814
Training with params :
{'eta': 0.125, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.75, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.75}
Score 0.4588137557285204
Stopping. Best iteration:
[197] train-mlogloss:0.142580 eval-mlogloss:0.458748
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.394441 eval-mlogloss:1.411132
[1] train-mlogloss:1.134465 eval-mlogloss:1.164493
[2] train-mlogloss:0.964273 eval-mlogloss:1.005030
[3] train-mlogloss:0.841724 eval-mlogloss:0.891364
[4] train-mlogloss:0.752634 eval-mlogloss:0.813000
[5] train-mlogloss:0.687200 eval-mlogloss:0.756378
[6] train-mlogloss:0.637279 eval-mlogloss:0.713667
[7] train-mlogloss:0.594776 eval-mlogloss:0.678459
[8] train-mlogloss:0.561664 eval-mlogloss:0.651515
[9] train-mlogloss:0.534047 eval-mlogloss:0.629690
[10] train-mlogloss:0.510117 eval-mlogloss:0.611109
[11] train-mlogloss:0.490614 eval-mlogloss:0.596041
[12] train-mlogloss:0.473718 eval-mlogloss:0.583964
[13] train-mlogloss:0.458817 eval-mlogloss:0.573240
[14] train-mlogloss:0.444755 eval-mlogloss:0.564503
[15] train-mlogloss:0.433772 eval-mlogloss:0.557446
[16] train-mlogloss:0.422346 eval-mlogloss:0.550927
[17] train-mlogloss:0.413655 eval-mlogloss:0.545453
[18] train-mlogloss:0.404863 eval-mlogloss:0.540097
[19] train-mlogloss:0.396503 eval-mlogloss:0.535660
[20] train-mlogloss:0.390577 eval-mlogloss:0.532093
[21] train-mlogloss:0.383132 eval-mlogloss:0.528295
[22] train-mlogloss:0.376177 eval-mlogloss:0.524590
[23] train-mlogloss:0.368399 eval-mlogloss:0.521791
[24] train-mlogloss:0.361693 eval-mlogloss:0.519046
[25] train-mlogloss:0.357244 eval-mlogloss:0.516510
[26] train-mlogloss:0.352861 eval-mlogloss:0.514872
[27] train-mlogloss:0.348730 eval-mlogloss:0.512527
[28] train-mlogloss:0.342810 eval-mlogloss:0.510219
[29] train-mlogloss:0.337224 eval-mlogloss:0.508219
[30] train-mlogloss:0.332045 eval-mlogloss:0.506327
[31] train-mlogloss:0.327923 eval-mlogloss:0.504705
[32] train-mlogloss:0.324133 eval-mlogloss:0.503078
[33] train-mlogloss:0.319475 eval-mlogloss:0.501072
[34] train-mlogloss:0.315115 eval-mlogloss:0.500054
[35] train-mlogloss:0.311400 eval-mlogloss:0.499214
[36] train-mlogloss:0.306815 eval-mlogloss:0.497101
[37] train-mlogloss:0.302741 eval-mlogloss:0.495987
[38] train-mlogloss:0.299265 eval-mlogloss:0.495063
[39] train-mlogloss:0.295904 eval-mlogloss:0.494747
[40] train-mlogloss:0.293372 eval-mlogloss:0.494012
[41] train-mlogloss:0.289782 eval-mlogloss:0.493251
[42] train-mlogloss:0.286394 eval-mlogloss:0.492537
[43] train-mlogloss:0.281274 eval-mlogloss:0.491336
[44] train-mlogloss:0.278779 eval-mlogloss:0.490645
[45] train-mlogloss:0.275241 eval-mlogloss:0.489469
[46] train-mlogloss:0.271206 eval-mlogloss:0.488325
[47] train-mlogloss:0.268351 eval-mlogloss:0.488022
[48] train-mlogloss:0.266102 eval-mlogloss:0.486988
[49] train-mlogloss:0.262967 eval-mlogloss:0.486117
[50] train-mlogloss:0.259767 eval-mlogloss:0.485518
[51] train-mlogloss:0.256471 eval-mlogloss:0.484963
[52] train-mlogloss:0.253583 eval-mlogloss:0.484554
[53] train-mlogloss:0.250988 eval-mlogloss:0.484684
[54] train-mlogloss:0.247916 eval-mlogloss:0.483832
[55] train-mlogloss:0.244916 eval-mlogloss:0.483502
[56] train-mlogloss:0.242844 eval-mlogloss:0.483701
[57] train-mlogloss:0.240577 eval-mlogloss:0.483435
[58] train-mlogloss:0.238772 eval-mlogloss:0.482852
[59] train-mlogloss:0.236267 eval-mlogloss:0.482399
[60] train-mlogloss:0.233916 eval-mlogloss:0.482123
[61] train-mlogloss:0.232321 eval-mlogloss:0.481462
[62] train-mlogloss:0.229971 eval-mlogloss:0.480996
[63] train-mlogloss:0.228115 eval-mlogloss:0.480488
[64] train-mlogloss:0.226595 eval-mlogloss:0.480584
[65] train-mlogloss:0.224079 eval-mlogloss:0.480397
[66] train-mlogloss:0.221981 eval-mlogloss:0.480092
[67] train-mlogloss:0.220214 eval-mlogloss:0.480039
[68] train-mlogloss:0.218338 eval-mlogloss:0.480168
[69] train-mlogloss:0.216832 eval-mlogloss:0.479889
[70] train-mlogloss:0.214681 eval-mlogloss:0.479597
[71] train-mlogloss:0.212623 eval-mlogloss:0.479395
[72] train-mlogloss:0.210545 eval-mlogloss:0.479163
[73] train-mlogloss:0.209202 eval-mlogloss:0.479211
[74] train-mlogloss:0.206798 eval-mlogloss:0.478730
[75] train-mlogloss:0.204612 eval-mlogloss:0.478108
[76] train-mlogloss:0.202632 eval-mlogloss:0.478277
[77] train-mlogloss:0.201100 eval-mlogloss:0.478360
[78] train-mlogloss:0.199101 eval-mlogloss:0.478137
[79] train-mlogloss:0.197035 eval-mlogloss:0.478108
[80] train-mlogloss:0.195607 eval-mlogloss:0.477983
[81] train-mlogloss:0.194250 eval-mlogloss:0.478084
[82] train-mlogloss:0.192310 eval-mlogloss:0.477936
[83] train-mlogloss:0.190930 eval-mlogloss:0.478204
[84] train-mlogloss:0.190033 eval-mlogloss:0.478389
[85] train-mlogloss:0.188669 eval-mlogloss:0.478228
[86] train-mlogloss:0.187346 eval-mlogloss:0.478567
[87] train-mlogloss:0.185828 eval-mlogloss:0.478814
[88] train-mlogloss:0.183967 eval-mlogloss:0.478879
[89] train-mlogloss:0.182839 eval-mlogloss:0.478710
[90] train-mlogloss:0.181504 eval-mlogloss:0.478707
[91] train-mlogloss:0.180308 eval-mlogloss:0.478999
Training with params :
{'eta': 0.375, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 9.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 6.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.75}
Score 0.4794115494681802
[92] train-mlogloss:0.179285 eval-mlogloss:0.479412
Stopping. Best iteration:
[82] train-mlogloss:0.192310 eval-mlogloss:0.477936
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.800385 eval-mlogloss:1.822369
[1] train-mlogloss:1.554353 eval-mlogloss:1.595865
[2] train-mlogloss:1.371179 eval-mlogloss:1.430159
[3] train-mlogloss:1.226002 eval-mlogloss:1.299354
[4] train-mlogloss:1.108192 eval-mlogloss:1.194677
[5] train-mlogloss:1.010423 eval-mlogloss:1.110019
[6] train-mlogloss:0.927764 eval-mlogloss:1.038174
[7] train-mlogloss:0.855141 eval-mlogloss:0.976509
[8] train-mlogloss:0.792367 eval-mlogloss:0.921659
[9] train-mlogloss:0.736640 eval-mlogloss:0.874596
[10] train-mlogloss:0.688621 eval-mlogloss:0.834716
[11] train-mlogloss:0.645240 eval-mlogloss:0.799735
[12] train-mlogloss:0.606388 eval-mlogloss:0.767997
[13] train-mlogloss:0.572427 eval-mlogloss:0.740715
[14] train-mlogloss:0.541927 eval-mlogloss:0.716555
[15] train-mlogloss:0.514385 eval-mlogloss:0.694265
[16] train-mlogloss:0.489890 eval-mlogloss:0.674790
[17] train-mlogloss:0.467499 eval-mlogloss:0.657108
[18] train-mlogloss:0.447573 eval-mlogloss:0.641722
[19] train-mlogloss:0.428355 eval-mlogloss:0.627334
[20] train-mlogloss:0.410701 eval-mlogloss:0.614172
[21] train-mlogloss:0.395102 eval-mlogloss:0.602835
[22] train-mlogloss:0.381988 eval-mlogloss:0.592819
[23] train-mlogloss:0.369779 eval-mlogloss:0.583487
[24] train-mlogloss:0.358178 eval-mlogloss:0.574884
[25] train-mlogloss:0.347402 eval-mlogloss:0.567245
[26] train-mlogloss:0.337650 eval-mlogloss:0.560465
[27] train-mlogloss:0.329152 eval-mlogloss:0.554435
[28] train-mlogloss:0.320751 eval-mlogloss:0.548402
[29] train-mlogloss:0.313146 eval-mlogloss:0.543344
[30] train-mlogloss:0.306221 eval-mlogloss:0.538558
[31] train-mlogloss:0.299449 eval-mlogloss:0.533886
[32] train-mlogloss:0.294425 eval-mlogloss:0.530105
[33] train-mlogloss:0.288736 eval-mlogloss:0.526370
[34] train-mlogloss:0.284058 eval-mlogloss:0.522752
[35] train-mlogloss:0.279144 eval-mlogloss:0.519554
[36] train-mlogloss:0.273667 eval-mlogloss:0.516335
[37] train-mlogloss:0.269460 eval-mlogloss:0.513339
[38] train-mlogloss:0.264982 eval-mlogloss:0.510683
[39] train-mlogloss:0.261266 eval-mlogloss:0.508347
[40] train-mlogloss:0.257678 eval-mlogloss:0.506081
[41] train-mlogloss:0.254990 eval-mlogloss:0.504375
[42] train-mlogloss:0.251492 eval-mlogloss:0.502178
[43] train-mlogloss:0.248021 eval-mlogloss:0.500162
[44] train-mlogloss:0.245154 eval-mlogloss:0.498423
[45] train-mlogloss:0.241203 eval-mlogloss:0.496544
[46] train-mlogloss:0.238408 eval-mlogloss:0.494999
[47] train-mlogloss:0.235423 eval-mlogloss:0.493564
[48] train-mlogloss:0.233436 eval-mlogloss:0.492229
[49] train-mlogloss:0.230800 eval-mlogloss:0.490997
[50] train-mlogloss:0.228588 eval-mlogloss:0.490125
[51] train-mlogloss:0.226261 eval-mlogloss:0.488944
[52] train-mlogloss:0.223552 eval-mlogloss:0.487551
[53] train-mlogloss:0.221468 eval-mlogloss:0.486452
[54] train-mlogloss:0.219439 eval-mlogloss:0.485337
[55] train-mlogloss:0.217275 eval-mlogloss:0.484261
[56] train-mlogloss:0.215001 eval-mlogloss:0.483282
[57] train-mlogloss:0.212389 eval-mlogloss:0.482545
[58] train-mlogloss:0.210064 eval-mlogloss:0.481590
[59] train-mlogloss:0.208755 eval-mlogloss:0.480852
[60] train-mlogloss:0.207026 eval-mlogloss:0.480243
[61] train-mlogloss:0.205569 eval-mlogloss:0.479279
[62] train-mlogloss:0.203823 eval-mlogloss:0.478630
[63] train-mlogloss:0.201857 eval-mlogloss:0.478103
[64] train-mlogloss:0.200646 eval-mlogloss:0.477489
[65] train-mlogloss:0.198859 eval-mlogloss:0.476635
[66] train-mlogloss:0.197574 eval-mlogloss:0.475914
[67] train-mlogloss:0.196313 eval-mlogloss:0.475511
[68] train-mlogloss:0.194745 eval-mlogloss:0.474847
[69] train-mlogloss:0.193860 eval-mlogloss:0.474231
[70] train-mlogloss:0.191484 eval-mlogloss:0.473762
[71] train-mlogloss:0.189557 eval-mlogloss:0.473372
[72] train-mlogloss:0.188541 eval-mlogloss:0.472702
[73] train-mlogloss:0.187710 eval-mlogloss:0.472304
[74] train-mlogloss:0.186704 eval-mlogloss:0.472015
[75] train-mlogloss:0.185332 eval-mlogloss:0.471586
[76] train-mlogloss:0.184378 eval-mlogloss:0.471074
[77] train-mlogloss:0.182690 eval-mlogloss:0.470697
[78] train-mlogloss:0.181434 eval-mlogloss:0.470167
[79] train-mlogloss:0.180124 eval-mlogloss:0.469663
[80] train-mlogloss:0.178988 eval-mlogloss:0.469575
[81] train-mlogloss:0.177592 eval-mlogloss:0.469226
[82] train-mlogloss:0.176417 eval-mlogloss:0.469007
[83] train-mlogloss:0.175300 eval-mlogloss:0.468498
[84] train-mlogloss:0.174417 eval-mlogloss:0.468332
[85] train-mlogloss:0.173105 eval-mlogloss:0.468075
[86] train-mlogloss:0.172133 eval-mlogloss:0.467705
[87] train-mlogloss:0.171295 eval-mlogloss:0.467478
[88] train-mlogloss:0.170267 eval-mlogloss:0.467151
[89] train-mlogloss:0.168921 eval-mlogloss:0.466827
[90] train-mlogloss:0.167937 eval-mlogloss:0.466663
[91] train-mlogloss:0.167065 eval-mlogloss:0.466619
[92] train-mlogloss:0.166287 eval-mlogloss:0.466587
[93] train-mlogloss:0.165280 eval-mlogloss:0.466280
[94] train-mlogloss:0.164153 eval-mlogloss:0.465937
[95] train-mlogloss:0.163577 eval-mlogloss:0.465691
[96] train-mlogloss:0.162821 eval-mlogloss:0.465452
[97] train-mlogloss:0.161715 eval-mlogloss:0.465096
[98] train-mlogloss:0.160786 eval-mlogloss:0.464920
[99] train-mlogloss:0.159892 eval-mlogloss:0.464678
[100] train-mlogloss:0.158854 eval-mlogloss:0.464607
[101] train-mlogloss:0.157905 eval-mlogloss:0.464454
[102] train-mlogloss:0.157141 eval-mlogloss:0.464169
[103] train-mlogloss:0.156413 eval-mlogloss:0.464050
[104] train-mlogloss:0.155538 eval-mlogloss:0.463942
[105] train-mlogloss:0.154855 eval-mlogloss:0.463823
[106] train-mlogloss:0.153724 eval-mlogloss:0.463808
[107] train-mlogloss:0.153108 eval-mlogloss:0.463780
[108] train-mlogloss:0.152352 eval-mlogloss:0.463756
[109] train-mlogloss:0.151909 eval-mlogloss:0.463612
[110] train-mlogloss:0.151267 eval-mlogloss:0.463666
[111] train-mlogloss:0.150594 eval-mlogloss:0.463452
[112] train-mlogloss:0.149707 eval-mlogloss:0.463398
[113] train-mlogloss:0.149323 eval-mlogloss:0.463253
[114] train-mlogloss:0.148232 eval-mlogloss:0.463294
[115] train-mlogloss:0.147071 eval-mlogloss:0.462995
[116] train-mlogloss:0.146617 eval-mlogloss:0.463033
[117] train-mlogloss:0.145941 eval-mlogloss:0.463008
[118] train-mlogloss:0.145410 eval-mlogloss:0.462870
[119] train-mlogloss:0.144843 eval-mlogloss:0.462985
[120] train-mlogloss:0.144307 eval-mlogloss:0.462783
[121] train-mlogloss:0.143900 eval-mlogloss:0.462783
[122] train-mlogloss:0.143153 eval-mlogloss:0.462691
[123] train-mlogloss:0.142154 eval-mlogloss:0.462586
[124] train-mlogloss:0.141868 eval-mlogloss:0.462512
[125] train-mlogloss:0.141378 eval-mlogloss:0.462420
[126] train-mlogloss:0.140584 eval-mlogloss:0.462333
[127] train-mlogloss:0.140004 eval-mlogloss:0.462158
[128] train-mlogloss:0.139254 eval-mlogloss:0.462068
[129] train-mlogloss:0.138959 eval-mlogloss:0.461934
[130] train-mlogloss:0.138319 eval-mlogloss:0.461934
[131] train-mlogloss:0.137768 eval-mlogloss:0.462049
[132] train-mlogloss:0.137288 eval-mlogloss:0.461905
[133] train-mlogloss:0.136747 eval-mlogloss:0.461847
[134] train-mlogloss:0.136021 eval-mlogloss:0.461883
[135] train-mlogloss:0.135668 eval-mlogloss:0.461765
[136] train-mlogloss:0.135309 eval-mlogloss:0.461695
[137] train-mlogloss:0.134904 eval-mlogloss:0.461708
[138] train-mlogloss:0.134566 eval-mlogloss:0.461689
[139] train-mlogloss:0.133830 eval-mlogloss:0.461679
[140] train-mlogloss:0.133308 eval-mlogloss:0.461635
[141] train-mlogloss:0.133068 eval-mlogloss:0.461653
[142] train-mlogloss:0.132678 eval-mlogloss:0.461650
[143] train-mlogloss:0.132026 eval-mlogloss:0.461538
[144] train-mlogloss:0.131599 eval-mlogloss:0.461567
[145] train-mlogloss:0.131261 eval-mlogloss:0.461516
[146] train-mlogloss:0.131040 eval-mlogloss:0.461536
[147] train-mlogloss:0.130474 eval-mlogloss:0.461627
[148] train-mlogloss:0.130001 eval-mlogloss:0.461556
[149] train-mlogloss:0.129669 eval-mlogloss:0.461543
[150] train-mlogloss:0.129395 eval-mlogloss:0.461555
[151] train-mlogloss:0.128833 eval-mlogloss:0.461569
[152] train-mlogloss:0.128366 eval-mlogloss:0.461520
[153] train-mlogloss:0.127863 eval-mlogloss:0.461447
[154] train-mlogloss:0.127610 eval-mlogloss:0.461432
[155] train-mlogloss:0.127105 eval-mlogloss:0.461483
[156] train-mlogloss:0.126783 eval-mlogloss:0.461546
[157] train-mlogloss:0.126387 eval-mlogloss:0.461592
[158] train-mlogloss:0.126148 eval-mlogloss:0.461587
[159] train-mlogloss:0.125503 eval-mlogloss:0.461519
[160] train-mlogloss:0.125190 eval-mlogloss:0.461652
[161] train-mlogloss:0.124868 eval-mlogloss:0.461639
[162] train-mlogloss:0.124361 eval-mlogloss:0.461488
[163] train-mlogloss:0.124071 eval-mlogloss:0.461481
Training with params :
{'eta': 0.15000000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 13.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.4616205329761695
[164] train-mlogloss:0.123463 eval-mlogloss:0.461621
Stopping. Best iteration:
[154] train-mlogloss:0.127610 eval-mlogloss:0.461432
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.859821 eval-mlogloss:1.883031
[1] train-mlogloss:1.632373 eval-mlogloss:1.673025
[2] train-mlogloss:1.460550 eval-mlogloss:1.516725
[3] train-mlogloss:1.320606 eval-mlogloss:1.390311
[4] train-mlogloss:1.206546 eval-mlogloss:1.288487
[5] train-mlogloss:1.109621 eval-mlogloss:1.202546
[6] train-mlogloss:1.025217 eval-mlogloss:1.127571
[7] train-mlogloss:0.950423 eval-mlogloss:1.062267
[8] train-mlogloss:0.885736 eval-mlogloss:1.006346
[9] train-mlogloss:0.829453 eval-mlogloss:0.958359
[10] train-mlogloss:0.777439 eval-mlogloss:0.914726
[11] train-mlogloss:0.731844 eval-mlogloss:0.876595
[12] train-mlogloss:0.691578 eval-mlogloss:0.842812
[13] train-mlogloss:0.652679 eval-mlogloss:0.811144
[14] train-mlogloss:0.618096 eval-mlogloss:0.783061
[15] train-mlogloss:0.587101 eval-mlogloss:0.757920
[16] train-mlogloss:0.560239 eval-mlogloss:0.736152
[17] train-mlogloss:0.534999 eval-mlogloss:0.715722
[18] train-mlogloss:0.511495 eval-mlogloss:0.697362
[19] train-mlogloss:0.490591 eval-mlogloss:0.680951
[20] train-mlogloss:0.471762 eval-mlogloss:0.665719
[21] train-mlogloss:0.453778 eval-mlogloss:0.651819
[22] train-mlogloss:0.437276 eval-mlogloss:0.639224
[23] train-mlogloss:0.422367 eval-mlogloss:0.628003
[24] train-mlogloss:0.408334 eval-mlogloss:0.617313
[25] train-mlogloss:0.395116 eval-mlogloss:0.607285
[26] train-mlogloss:0.383572 eval-mlogloss:0.598115
[27] train-mlogloss:0.373047 eval-mlogloss:0.590119
[28] train-mlogloss:0.362756 eval-mlogloss:0.582580
[29] train-mlogloss:0.354113 eval-mlogloss:0.575856
[30] train-mlogloss:0.345062 eval-mlogloss:0.569557
[31] train-mlogloss:0.336895 eval-mlogloss:0.563871
[32] train-mlogloss:0.330087 eval-mlogloss:0.558541
[33] train-mlogloss:0.323135 eval-mlogloss:0.553286
[34] train-mlogloss:0.316804 eval-mlogloss:0.548814
[35] train-mlogloss:0.310629 eval-mlogloss:0.544438
[36] train-mlogloss:0.304675 eval-mlogloss:0.540258
[37] train-mlogloss:0.299225 eval-mlogloss:0.536357
[38] train-mlogloss:0.294383 eval-mlogloss:0.533014
[39] train-mlogloss:0.290005 eval-mlogloss:0.529751
[40] train-mlogloss:0.285886 eval-mlogloss:0.526907
[41] train-mlogloss:0.281278 eval-mlogloss:0.523857
[42] train-mlogloss:0.277458 eval-mlogloss:0.521312
[43] train-mlogloss:0.273586 eval-mlogloss:0.518836
[44] train-mlogloss:0.270008 eval-mlogloss:0.516352
[45] train-mlogloss:0.266719 eval-mlogloss:0.514058
[46] train-mlogloss:0.263776 eval-mlogloss:0.511985
[47] train-mlogloss:0.260614 eval-mlogloss:0.509990
[48] train-mlogloss:0.258048 eval-mlogloss:0.508280
[49] train-mlogloss:0.254951 eval-mlogloss:0.506327
[50] train-mlogloss:0.252688 eval-mlogloss:0.504544
[51] train-mlogloss:0.249964 eval-mlogloss:0.502780
[52] train-mlogloss:0.246805 eval-mlogloss:0.501163
[53] train-mlogloss:0.244501 eval-mlogloss:0.499870
[54] train-mlogloss:0.242068 eval-mlogloss:0.498621
[55] train-mlogloss:0.240167 eval-mlogloss:0.497400
[56] train-mlogloss:0.238405 eval-mlogloss:0.496137
[57] train-mlogloss:0.236638 eval-mlogloss:0.494867
[58] train-mlogloss:0.234853 eval-mlogloss:0.494054
[59] train-mlogloss:0.232864 eval-mlogloss:0.493113
[60] train-mlogloss:0.231490 eval-mlogloss:0.492255
[61] train-mlogloss:0.229475 eval-mlogloss:0.491418
[62] train-mlogloss:0.227402 eval-mlogloss:0.490513
[63] train-mlogloss:0.226195 eval-mlogloss:0.489584
[64] train-mlogloss:0.224806 eval-mlogloss:0.488769
[65] train-mlogloss:0.223662 eval-mlogloss:0.488162
[66] train-mlogloss:0.222262 eval-mlogloss:0.487318
[67] train-mlogloss:0.221110 eval-mlogloss:0.486634
[68] train-mlogloss:0.219764 eval-mlogloss:0.485920
[69] train-mlogloss:0.218230 eval-mlogloss:0.485192
[70] train-mlogloss:0.216404 eval-mlogloss:0.484336
[71] train-mlogloss:0.215251 eval-mlogloss:0.483821
[72] train-mlogloss:0.214127 eval-mlogloss:0.483240
[73] train-mlogloss:0.212931 eval-mlogloss:0.482703
[74] train-mlogloss:0.211466 eval-mlogloss:0.481971
[75] train-mlogloss:0.210310 eval-mlogloss:0.481534
[76] train-mlogloss:0.209224 eval-mlogloss:0.480988
[77] train-mlogloss:0.207802 eval-mlogloss:0.480495
[78] train-mlogloss:0.206906 eval-mlogloss:0.480067
[79] train-mlogloss:0.205925 eval-mlogloss:0.479753
[80] train-mlogloss:0.205092 eval-mlogloss:0.479274
[81] train-mlogloss:0.204140 eval-mlogloss:0.478887
[82] train-mlogloss:0.202776 eval-mlogloss:0.478369
[83] train-mlogloss:0.201382 eval-mlogloss:0.477956
[84] train-mlogloss:0.199792 eval-mlogloss:0.477452
[85] train-mlogloss:0.199109 eval-mlogloss:0.477001
[86] train-mlogloss:0.197820 eval-mlogloss:0.476658
[87] train-mlogloss:0.196329 eval-mlogloss:0.476151
[88] train-mlogloss:0.195725 eval-mlogloss:0.475777
[89] train-mlogloss:0.194837 eval-mlogloss:0.475535
[90] train-mlogloss:0.194056 eval-mlogloss:0.475223
[91] train-mlogloss:0.192854 eval-mlogloss:0.474926
[92] train-mlogloss:0.192058 eval-mlogloss:0.474536
[93] train-mlogloss:0.191480 eval-mlogloss:0.474262
[94] train-mlogloss:0.190591 eval-mlogloss:0.474026
[95] train-mlogloss:0.190157 eval-mlogloss:0.473697
[96] train-mlogloss:0.189557 eval-mlogloss:0.473389
[97] train-mlogloss:0.188665 eval-mlogloss:0.473084
[98] train-mlogloss:0.187187 eval-mlogloss:0.472683
[99] train-mlogloss:0.186156 eval-mlogloss:0.472352
[100] train-mlogloss:0.185549 eval-mlogloss:0.472035
[101] train-mlogloss:0.184729 eval-mlogloss:0.471827
[102] train-mlogloss:0.184378 eval-mlogloss:0.471687
[103] train-mlogloss:0.183912 eval-mlogloss:0.471547
[104] train-mlogloss:0.183275 eval-mlogloss:0.471350
[105] train-mlogloss:0.182681 eval-mlogloss:0.471223
[106] train-mlogloss:0.182070 eval-mlogloss:0.471051
[107] train-mlogloss:0.181546 eval-mlogloss:0.470912
[108] train-mlogloss:0.181030 eval-mlogloss:0.470780
[109] train-mlogloss:0.180524 eval-mlogloss:0.470496
[110] train-mlogloss:0.180185 eval-mlogloss:0.470327
[111] train-mlogloss:0.179430 eval-mlogloss:0.470285
[112] train-mlogloss:0.178918 eval-mlogloss:0.470169
[113] train-mlogloss:0.178221 eval-mlogloss:0.469959
[114] train-mlogloss:0.177785 eval-mlogloss:0.469816
[115] train-mlogloss:0.177221 eval-mlogloss:0.469596
[116] train-mlogloss:0.176834 eval-mlogloss:0.469322
[117] train-mlogloss:0.176186 eval-mlogloss:0.469220
[118] train-mlogloss:0.175793 eval-mlogloss:0.469087
[119] train-mlogloss:0.175204 eval-mlogloss:0.468908
[120] train-mlogloss:0.174235 eval-mlogloss:0.468643
[121] train-mlogloss:0.173622 eval-mlogloss:0.468482
[122] train-mlogloss:0.173344 eval-mlogloss:0.468313
[123] train-mlogloss:0.172774 eval-mlogloss:0.468267
[124] train-mlogloss:0.172076 eval-mlogloss:0.468183
[125] train-mlogloss:0.171471 eval-mlogloss:0.467943
[126] train-mlogloss:0.170630 eval-mlogloss:0.467672
[127] train-mlogloss:0.170063 eval-mlogloss:0.467674
[128] train-mlogloss:0.169702 eval-mlogloss:0.467623
[129] train-mlogloss:0.169358 eval-mlogloss:0.467477
[130] train-mlogloss:0.168482 eval-mlogloss:0.467187
[131] train-mlogloss:0.167853 eval-mlogloss:0.467018
[132] train-mlogloss:0.167060 eval-mlogloss:0.466895
[133] train-mlogloss:0.166487 eval-mlogloss:0.466741
[134] train-mlogloss:0.166042 eval-mlogloss:0.466670
[135] train-mlogloss:0.165600 eval-mlogloss:0.466503
[136] train-mlogloss:0.165372 eval-mlogloss:0.466387
[137] train-mlogloss:0.164873 eval-mlogloss:0.466337
[138] train-mlogloss:0.164191 eval-mlogloss:0.466369
[139] train-mlogloss:0.163576 eval-mlogloss:0.466288
[140] train-mlogloss:0.163145 eval-mlogloss:0.466367
[141] train-mlogloss:0.162867 eval-mlogloss:0.466304
[142] train-mlogloss:0.162274 eval-mlogloss:0.466268
[143] train-mlogloss:0.161698 eval-mlogloss:0.466293
[144] train-mlogloss:0.161534 eval-mlogloss:0.466221
[145] train-mlogloss:0.161258 eval-mlogloss:0.466004
[146] train-mlogloss:0.161060 eval-mlogloss:0.465921
[147] train-mlogloss:0.160390 eval-mlogloss:0.465987
[148] train-mlogloss:0.160148 eval-mlogloss:0.465927
[149] train-mlogloss:0.159805 eval-mlogloss:0.465786
[150] train-mlogloss:0.159428 eval-mlogloss:0.465666
[151] train-mlogloss:0.159000 eval-mlogloss:0.465674
[152] train-mlogloss:0.158747 eval-mlogloss:0.465658
[153] train-mlogloss:0.158367 eval-mlogloss:0.465594
[154] train-mlogloss:0.157992 eval-mlogloss:0.465528
[155] train-mlogloss:0.157773 eval-mlogloss:0.465473
[156] train-mlogloss:0.157203 eval-mlogloss:0.465394
[157] train-mlogloss:0.156391 eval-mlogloss:0.465260
[158] train-mlogloss:0.156034 eval-mlogloss:0.465247
[159] train-mlogloss:0.155303 eval-mlogloss:0.465183
[160] train-mlogloss:0.155116 eval-mlogloss:0.465059
[161] train-mlogloss:0.154629 eval-mlogloss:0.465030
[162] train-mlogloss:0.154367 eval-mlogloss:0.464957
[163] train-mlogloss:0.153897 eval-mlogloss:0.464846
[164] train-mlogloss:0.153517 eval-mlogloss:0.464832
[165] train-mlogloss:0.153262 eval-mlogloss:0.464836
[166] train-mlogloss:0.152901 eval-mlogloss:0.464932
[167] train-mlogloss:0.152452 eval-mlogloss:0.464827
[168] train-mlogloss:0.152054 eval-mlogloss:0.464827
[169] train-mlogloss:0.151572 eval-mlogloss:0.464836
[170] train-mlogloss:0.151358 eval-mlogloss:0.464720
[171] train-mlogloss:0.151104 eval-mlogloss:0.464588
[172] train-mlogloss:0.150731 eval-mlogloss:0.464574
[173] train-mlogloss:0.150475 eval-mlogloss:0.464572
[174] train-mlogloss:0.150261 eval-mlogloss:0.464527
[175] train-mlogloss:0.150134 eval-mlogloss:0.464492
[176] train-mlogloss:0.149769 eval-mlogloss:0.464458
[177] train-mlogloss:0.149589 eval-mlogloss:0.464459
[178] train-mlogloss:0.149300 eval-mlogloss:0.464523
[179] train-mlogloss:0.149031 eval-mlogloss:0.464416
[180] train-mlogloss:0.148813 eval-mlogloss:0.464451
[181] train-mlogloss:0.148749 eval-mlogloss:0.464425
[182] train-mlogloss:0.148614 eval-mlogloss:0.464332
[183] train-mlogloss:0.148436 eval-mlogloss:0.464278
[184] train-mlogloss:0.148093 eval-mlogloss:0.464310
[185] train-mlogloss:0.147921 eval-mlogloss:0.464293
[186] train-mlogloss:0.147597 eval-mlogloss:0.464300
[187] train-mlogloss:0.147382 eval-mlogloss:0.464239
[188] train-mlogloss:0.146892 eval-mlogloss:0.464270
[189] train-mlogloss:0.146606 eval-mlogloss:0.464205
[190] train-mlogloss:0.146451 eval-mlogloss:0.464205
[191] train-mlogloss:0.146258 eval-mlogloss:0.464285
[192] train-mlogloss:0.145854 eval-mlogloss:0.464350
[193] train-mlogloss:0.145504 eval-mlogloss:0.464270
[194] train-mlogloss:0.145225 eval-mlogloss:0.464222
[195] train-mlogloss:0.145072 eval-mlogloss:0.464232
[196] train-mlogloss:0.144900 eval-mlogloss:0.464289
[197] train-mlogloss:0.144619 eval-mlogloss:0.464249
[198] train-mlogloss:0.144303 eval-mlogloss:0.464292
[199] train-mlogloss:0.144135 eval-mlogloss:0.464271
Training with params :
{'eta': 0.125, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 13.0, 'silent': 1, 'subsample': 1.0, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.4642714175023115
Stopping. Best iteration:
[189] train-mlogloss:0.146606 eval-mlogloss:0.464205
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.747479 eval-mlogloss:1.770163
[1] train-mlogloss:1.490821 eval-mlogloss:1.531179
[2] train-mlogloss:1.303215 eval-mlogloss:1.357667
[3] train-mlogloss:1.160661 eval-mlogloss:1.226549
[4] train-mlogloss:1.045162 eval-mlogloss:1.123101
[5] train-mlogloss:0.949235 eval-mlogloss:1.038014
[6] train-mlogloss:0.871411 eval-mlogloss:0.969311
[7] train-mlogloss:0.802986 eval-mlogloss:0.909392
[8] train-mlogloss:0.745036 eval-mlogloss:0.859412
[9] train-mlogloss:0.694196 eval-mlogloss:0.817417
[10] train-mlogloss:0.649338 eval-mlogloss:0.780185
[11] train-mlogloss:0.609570 eval-mlogloss:0.747872
[12] train-mlogloss:0.575669 eval-mlogloss:0.720988
[13] train-mlogloss:0.544747 eval-mlogloss:0.696288
[14] train-mlogloss:0.518114 eval-mlogloss:0.675269
[15] train-mlogloss:0.494522 eval-mlogloss:0.655924
[16] train-mlogloss:0.471893 eval-mlogloss:0.638429
[17] train-mlogloss:0.452565 eval-mlogloss:0.624159
[18] train-mlogloss:0.434811 eval-mlogloss:0.611047
[19] train-mlogloss:0.420136 eval-mlogloss:0.600161
[20] train-mlogloss:0.406818 eval-mlogloss:0.589847
[21] train-mlogloss:0.394250 eval-mlogloss:0.581315
[22] train-mlogloss:0.382235 eval-mlogloss:0.572985
[23] train-mlogloss:0.370860 eval-mlogloss:0.565218
[24] train-mlogloss:0.360303 eval-mlogloss:0.558416
[25] train-mlogloss:0.350543 eval-mlogloss:0.552389
[26] train-mlogloss:0.342446 eval-mlogloss:0.546530
[27] train-mlogloss:0.335248 eval-mlogloss:0.541781
[28] train-mlogloss:0.328637 eval-mlogloss:0.537280
[29] train-mlogloss:0.323069 eval-mlogloss:0.533106
[30] train-mlogloss:0.317194 eval-mlogloss:0.529198
[31] train-mlogloss:0.311447 eval-mlogloss:0.525623
[32] train-mlogloss:0.306448 eval-mlogloss:0.522374
[33] train-mlogloss:0.301580 eval-mlogloss:0.519194
[34] train-mlogloss:0.297262 eval-mlogloss:0.516525
[35] train-mlogloss:0.292104 eval-mlogloss:0.513220
[36] train-mlogloss:0.287850 eval-mlogloss:0.510903
[37] train-mlogloss:0.283955 eval-mlogloss:0.508523
[38] train-mlogloss:0.280382 eval-mlogloss:0.506360
[39] train-mlogloss:0.276863 eval-mlogloss:0.504166
[40] train-mlogloss:0.273238 eval-mlogloss:0.502371
[41] train-mlogloss:0.269223 eval-mlogloss:0.500612
[42] train-mlogloss:0.265733 eval-mlogloss:0.498990
[43] train-mlogloss:0.262617 eval-mlogloss:0.497163
[44] train-mlogloss:0.260435 eval-mlogloss:0.495853
[45] train-mlogloss:0.256970 eval-mlogloss:0.494306
[46] train-mlogloss:0.254577 eval-mlogloss:0.492962
[47] train-mlogloss:0.251938 eval-mlogloss:0.491597
[48] train-mlogloss:0.249013 eval-mlogloss:0.490091
[49] train-mlogloss:0.247145 eval-mlogloss:0.489072
[50] train-mlogloss:0.244832 eval-mlogloss:0.487868
[51] train-mlogloss:0.242018 eval-mlogloss:0.486875
[52] train-mlogloss:0.238973 eval-mlogloss:0.485990
[53] train-mlogloss:0.236688 eval-mlogloss:0.484971
[54] train-mlogloss:0.234034 eval-mlogloss:0.484099
[55] train-mlogloss:0.231807 eval-mlogloss:0.483177
[56] train-mlogloss:0.230029 eval-mlogloss:0.482178
[57] train-mlogloss:0.228398 eval-mlogloss:0.481574
[58] train-mlogloss:0.226952 eval-mlogloss:0.480716
[59] train-mlogloss:0.224726 eval-mlogloss:0.479986
[60] train-mlogloss:0.222838 eval-mlogloss:0.479407
[61] train-mlogloss:0.220381 eval-mlogloss:0.478317
[62] train-mlogloss:0.218397 eval-mlogloss:0.477441
[63] train-mlogloss:0.216757 eval-mlogloss:0.476818
[64] train-mlogloss:0.214961 eval-mlogloss:0.476167
[65] train-mlogloss:0.213350 eval-mlogloss:0.475746
[66] train-mlogloss:0.211601 eval-mlogloss:0.475117
[67] train-mlogloss:0.209482 eval-mlogloss:0.474741
[68] train-mlogloss:0.208035 eval-mlogloss:0.474305
[69] train-mlogloss:0.206551 eval-mlogloss:0.473917
[70] train-mlogloss:0.203977 eval-mlogloss:0.473232
[71] train-mlogloss:0.201822 eval-mlogloss:0.472828
[72] train-mlogloss:0.199914 eval-mlogloss:0.472569
[73] train-mlogloss:0.198161 eval-mlogloss:0.472180
[74] train-mlogloss:0.196365 eval-mlogloss:0.471685
[75] train-mlogloss:0.194509 eval-mlogloss:0.471100
[76] train-mlogloss:0.192822 eval-mlogloss:0.470982
[77] train-mlogloss:0.191471 eval-mlogloss:0.470742
[78] train-mlogloss:0.190136 eval-mlogloss:0.470367
[79] train-mlogloss:0.187802 eval-mlogloss:0.469736
[80] train-mlogloss:0.186815 eval-mlogloss:0.469585
[81] train-mlogloss:0.185286 eval-mlogloss:0.469115
[82] train-mlogloss:0.183840 eval-mlogloss:0.468811
[83] train-mlogloss:0.182628 eval-mlogloss:0.468776
[84] train-mlogloss:0.181805 eval-mlogloss:0.468475
[85] train-mlogloss:0.180141 eval-mlogloss:0.468336
[86] train-mlogloss:0.179007 eval-mlogloss:0.468296
[87] train-mlogloss:0.177824 eval-mlogloss:0.468115
[88] train-mlogloss:0.177107 eval-mlogloss:0.467845
[89] train-mlogloss:0.175999 eval-mlogloss:0.467750
[90] train-mlogloss:0.174536 eval-mlogloss:0.467593
[91] train-mlogloss:0.173898 eval-mlogloss:0.467547
[92] train-mlogloss:0.173044 eval-mlogloss:0.467406
[93] train-mlogloss:0.172095 eval-mlogloss:0.467203
[94] train-mlogloss:0.170628 eval-mlogloss:0.466921
[95] train-mlogloss:0.169518 eval-mlogloss:0.466918
[96] train-mlogloss:0.168979 eval-mlogloss:0.466678
[97] train-mlogloss:0.168151 eval-mlogloss:0.466452
[98] train-mlogloss:0.167212 eval-mlogloss:0.466263
[99] train-mlogloss:0.166342 eval-mlogloss:0.466091
[100] train-mlogloss:0.165428 eval-mlogloss:0.465910
[101] train-mlogloss:0.164552 eval-mlogloss:0.465807
[102] train-mlogloss:0.163684 eval-mlogloss:0.465877
[103] train-mlogloss:0.162825 eval-mlogloss:0.465844
[104] train-mlogloss:0.162029 eval-mlogloss:0.465686
[105] train-mlogloss:0.161153 eval-mlogloss:0.465605
[106] train-mlogloss:0.160608 eval-mlogloss:0.465468
[107] train-mlogloss:0.160009 eval-mlogloss:0.465568
[108] train-mlogloss:0.159395 eval-mlogloss:0.465434
[109] train-mlogloss:0.158195 eval-mlogloss:0.465220
[110] train-mlogloss:0.156914 eval-mlogloss:0.465110
[111] train-mlogloss:0.156094 eval-mlogloss:0.465059
[112] train-mlogloss:0.155313 eval-mlogloss:0.464930
[113] train-mlogloss:0.154703 eval-mlogloss:0.464821
[114] train-mlogloss:0.153658 eval-mlogloss:0.464880
[115] train-mlogloss:0.152265 eval-mlogloss:0.464731
[116] train-mlogloss:0.151547 eval-mlogloss:0.464600
[117] train-mlogloss:0.150728 eval-mlogloss:0.464614
[118] train-mlogloss:0.150040 eval-mlogloss:0.464546
[119] train-mlogloss:0.149166 eval-mlogloss:0.464542
[120] train-mlogloss:0.148481 eval-mlogloss:0.464293
[121] train-mlogloss:0.147666 eval-mlogloss:0.464571
[122] train-mlogloss:0.147058 eval-mlogloss:0.464511
[123] train-mlogloss:0.146286 eval-mlogloss:0.464407
[124] train-mlogloss:0.145018 eval-mlogloss:0.464454
[125] train-mlogloss:0.144543 eval-mlogloss:0.464447
[126] train-mlogloss:0.143707 eval-mlogloss:0.464331
[127] train-mlogloss:0.143216 eval-mlogloss:0.464341
[128] train-mlogloss:0.142745 eval-mlogloss:0.464171
[129] train-mlogloss:0.142166 eval-mlogloss:0.464052
[130] train-mlogloss:0.141622 eval-mlogloss:0.463999
[131] train-mlogloss:0.140915 eval-mlogloss:0.464150
[132] train-mlogloss:0.140505 eval-mlogloss:0.464108
[133] train-mlogloss:0.139765 eval-mlogloss:0.463855
[134] train-mlogloss:0.139335 eval-mlogloss:0.463862
[135] train-mlogloss:0.138747 eval-mlogloss:0.463821
[136] train-mlogloss:0.138093 eval-mlogloss:0.463800
[137] train-mlogloss:0.137383 eval-mlogloss:0.463721
[138] train-mlogloss:0.137072 eval-mlogloss:0.463628
[139] train-mlogloss:0.136279 eval-mlogloss:0.463666
[140] train-mlogloss:0.135582 eval-mlogloss:0.463603
[141] train-mlogloss:0.135073 eval-mlogloss:0.463633
[142] train-mlogloss:0.134776 eval-mlogloss:0.463647
[143] train-mlogloss:0.134402 eval-mlogloss:0.463549
[144] train-mlogloss:0.134076 eval-mlogloss:0.463618
[145] train-mlogloss:0.133590 eval-mlogloss:0.463529
[146] train-mlogloss:0.133064 eval-mlogloss:0.463671
[147] train-mlogloss:0.132455 eval-mlogloss:0.463742
[148] train-mlogloss:0.131728 eval-mlogloss:0.463874
[149] train-mlogloss:0.131323 eval-mlogloss:0.463912
[150] train-mlogloss:0.130952 eval-mlogloss:0.463840
[151] train-mlogloss:0.130440 eval-mlogloss:0.464042
[152] train-mlogloss:0.129903 eval-mlogloss:0.464157
[153] train-mlogloss:0.129499 eval-mlogloss:0.464098
[154] train-mlogloss:0.129152 eval-mlogloss:0.464172
[155] train-mlogloss:0.128902 eval-mlogloss:0.464179
Training with params :
{'eta': 0.17500000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8500000000000001, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.75}
Score 0.4641785862597089
Stopping. Best iteration:
[145] train-mlogloss:0.133590 eval-mlogloss:0.463529
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.932042 eval-mlogloss:1.942719
[1] train-mlogloss:1.742224 eval-mlogloss:1.761723
[2] train-mlogloss:1.593124 eval-mlogloss:1.621063
[3] train-mlogloss:1.469765 eval-mlogloss:1.505725
[4] train-mlogloss:1.365149 eval-mlogloss:1.407936
[5] train-mlogloss:1.274795 eval-mlogloss:1.324375
[6] train-mlogloss:1.194967 eval-mlogloss:1.251012
[7] train-mlogloss:1.125468 eval-mlogloss:1.187218
[8] train-mlogloss:1.063293 eval-mlogloss:1.130590
[9] train-mlogloss:1.007715 eval-mlogloss:1.079296
[10] train-mlogloss:0.956555 eval-mlogloss:1.033367
[11] train-mlogloss:0.910688 eval-mlogloss:0.992477
[12] train-mlogloss:0.868287 eval-mlogloss:0.955234
[13] train-mlogloss:0.830002 eval-mlogloss:0.921464
[14] train-mlogloss:0.795291 eval-mlogloss:0.891311
[15] train-mlogloss:0.763257 eval-mlogloss:0.863740
[16] train-mlogloss:0.732856 eval-mlogloss:0.838373
[17] train-mlogloss:0.705312 eval-mlogloss:0.815385
[18] train-mlogloss:0.679303 eval-mlogloss:0.793528
[19] train-mlogloss:0.655880 eval-mlogloss:0.773888
[20] train-mlogloss:0.634127 eval-mlogloss:0.755718
[21] train-mlogloss:0.614280 eval-mlogloss:0.739042
[22] train-mlogloss:0.595692 eval-mlogloss:0.723726
[23] train-mlogloss:0.577878 eval-mlogloss:0.709066
[24] train-mlogloss:0.561980 eval-mlogloss:0.695513
[25] train-mlogloss:0.546731 eval-mlogloss:0.683334
[26] train-mlogloss:0.532085 eval-mlogloss:0.671602
[27] train-mlogloss:0.518346 eval-mlogloss:0.660856
[28] train-mlogloss:0.505910 eval-mlogloss:0.651130
[29] train-mlogloss:0.494501 eval-mlogloss:0.642061
[30] train-mlogloss:0.483524 eval-mlogloss:0.633663
[31] train-mlogloss:0.473660 eval-mlogloss:0.625549
[32] train-mlogloss:0.463969 eval-mlogloss:0.618135
[33] train-mlogloss:0.454214 eval-mlogloss:0.611100
[34] train-mlogloss:0.445295 eval-mlogloss:0.604478
[35] train-mlogloss:0.437819 eval-mlogloss:0.598559
[36] train-mlogloss:0.430054 eval-mlogloss:0.592632
[37] train-mlogloss:0.422847 eval-mlogloss:0.587428
[38] train-mlogloss:0.415375 eval-mlogloss:0.581986
[39] train-mlogloss:0.408223 eval-mlogloss:0.577105
[40] train-mlogloss:0.402206 eval-mlogloss:0.572530
[41] train-mlogloss:0.395794 eval-mlogloss:0.568411
[42] train-mlogloss:0.390374 eval-mlogloss:0.564528
[43] train-mlogloss:0.384719 eval-mlogloss:0.560558
[44] train-mlogloss:0.379294 eval-mlogloss:0.556923
[45] train-mlogloss:0.373361 eval-mlogloss:0.553248
[46] train-mlogloss:0.368544 eval-mlogloss:0.549923
[47] train-mlogloss:0.364115 eval-mlogloss:0.546841
[48] train-mlogloss:0.359567 eval-mlogloss:0.543812
[49] train-mlogloss:0.355236 eval-mlogloss:0.540951
[50] train-mlogloss:0.351124 eval-mlogloss:0.538328
[51] train-mlogloss:0.347899 eval-mlogloss:0.535870
[52] train-mlogloss:0.343667 eval-mlogloss:0.533215
[53] train-mlogloss:0.340013 eval-mlogloss:0.530860
[54] train-mlogloss:0.336137 eval-mlogloss:0.528486
[55] train-mlogloss:0.332663 eval-mlogloss:0.526330
[56] train-mlogloss:0.329608 eval-mlogloss:0.524388
[57] train-mlogloss:0.326636 eval-mlogloss:0.522441
[58] train-mlogloss:0.324067 eval-mlogloss:0.520697
[59] train-mlogloss:0.320774 eval-mlogloss:0.518880
[60] train-mlogloss:0.318292 eval-mlogloss:0.517302
[61] train-mlogloss:0.315756 eval-mlogloss:0.515761
[62] train-mlogloss:0.313622 eval-mlogloss:0.514374
[63] train-mlogloss:0.310760 eval-mlogloss:0.512863
[64] train-mlogloss:0.308209 eval-mlogloss:0.511350
[65] train-mlogloss:0.305485 eval-mlogloss:0.509884
[66] train-mlogloss:0.303127 eval-mlogloss:0.508595
[67] train-mlogloss:0.300433 eval-mlogloss:0.507188
[68] train-mlogloss:0.298086 eval-mlogloss:0.505893
[69] train-mlogloss:0.295901 eval-mlogloss:0.504694
[70] train-mlogloss:0.293600 eval-mlogloss:0.503465
[71] train-mlogloss:0.291530 eval-mlogloss:0.502173
[72] train-mlogloss:0.289060 eval-mlogloss:0.500837
[73] train-mlogloss:0.286862 eval-mlogloss:0.499653
[74] train-mlogloss:0.284844 eval-mlogloss:0.498864
[75] train-mlogloss:0.283166 eval-mlogloss:0.497943
[76] train-mlogloss:0.281145 eval-mlogloss:0.497035
[77] train-mlogloss:0.279428 eval-mlogloss:0.496263
[78] train-mlogloss:0.277251 eval-mlogloss:0.495502
[79] train-mlogloss:0.275064 eval-mlogloss:0.494673
[80] train-mlogloss:0.273644 eval-mlogloss:0.493853
[81] train-mlogloss:0.271853 eval-mlogloss:0.492897
[82] train-mlogloss:0.269938 eval-mlogloss:0.492042
[83] train-mlogloss:0.268010 eval-mlogloss:0.491231
[84] train-mlogloss:0.266179 eval-mlogloss:0.490297
[85] train-mlogloss:0.264543 eval-mlogloss:0.489469
[86] train-mlogloss:0.263109 eval-mlogloss:0.488829
[87] train-mlogloss:0.261715 eval-mlogloss:0.488213
[88] train-mlogloss:0.260062 eval-mlogloss:0.487586
[89] train-mlogloss:0.258325 eval-mlogloss:0.486815
[90] train-mlogloss:0.256878 eval-mlogloss:0.486083
[91] train-mlogloss:0.255552 eval-mlogloss:0.485528
[92] train-mlogloss:0.254289 eval-mlogloss:0.484808
[93] train-mlogloss:0.252722 eval-mlogloss:0.484163
[94] train-mlogloss:0.251287 eval-mlogloss:0.483611
[95] train-mlogloss:0.249814 eval-mlogloss:0.483092
[96] train-mlogloss:0.248529 eval-mlogloss:0.482732
[97] train-mlogloss:0.247029 eval-mlogloss:0.482179
[98] train-mlogloss:0.245307 eval-mlogloss:0.481510
[99] train-mlogloss:0.244185 eval-mlogloss:0.480842
[100] train-mlogloss:0.243076 eval-mlogloss:0.480489
[101] train-mlogloss:0.241999 eval-mlogloss:0.480036
[102] train-mlogloss:0.240757 eval-mlogloss:0.479514
[103] train-mlogloss:0.239293 eval-mlogloss:0.479056
[104] train-mlogloss:0.238024 eval-mlogloss:0.478697
[105] train-mlogloss:0.237024 eval-mlogloss:0.478252
[106] train-mlogloss:0.235516 eval-mlogloss:0.477771
[107] train-mlogloss:0.234601 eval-mlogloss:0.477293
[108] train-mlogloss:0.233497 eval-mlogloss:0.476946
[109] train-mlogloss:0.232462 eval-mlogloss:0.476659
[110] train-mlogloss:0.231331 eval-mlogloss:0.476317
[111] train-mlogloss:0.230322 eval-mlogloss:0.475860
[112] train-mlogloss:0.228948 eval-mlogloss:0.475426
[113] train-mlogloss:0.227739 eval-mlogloss:0.474934
[114] train-mlogloss:0.226776 eval-mlogloss:0.474635
[115] train-mlogloss:0.225838 eval-mlogloss:0.474226
[116] train-mlogloss:0.224858 eval-mlogloss:0.473982
[117] train-mlogloss:0.223916 eval-mlogloss:0.473651
[118] train-mlogloss:0.222481 eval-mlogloss:0.473344
[119] train-mlogloss:0.221317 eval-mlogloss:0.472904
[120] train-mlogloss:0.220194 eval-mlogloss:0.472633
[121] train-mlogloss:0.219201 eval-mlogloss:0.472233
[122] train-mlogloss:0.218225 eval-mlogloss:0.471849
[123] train-mlogloss:0.217446 eval-mlogloss:0.471656
[124] train-mlogloss:0.216503 eval-mlogloss:0.471392
[125] train-mlogloss:0.215394 eval-mlogloss:0.471275
[126] train-mlogloss:0.214100 eval-mlogloss:0.470984
[127] train-mlogloss:0.213240 eval-mlogloss:0.470729
[128] train-mlogloss:0.212364 eval-mlogloss:0.470447
[129] train-mlogloss:0.211450 eval-mlogloss:0.470345
[130] train-mlogloss:0.210374 eval-mlogloss:0.470141
[131] train-mlogloss:0.209441 eval-mlogloss:0.469858
[132] train-mlogloss:0.208663 eval-mlogloss:0.469644
[133] train-mlogloss:0.207845 eval-mlogloss:0.469384
[134] train-mlogloss:0.206651 eval-mlogloss:0.469034
[135] train-mlogloss:0.205761 eval-mlogloss:0.468828
[136] train-mlogloss:0.204505 eval-mlogloss:0.468490
[137] train-mlogloss:0.203476 eval-mlogloss:0.468361
[138] train-mlogloss:0.202465 eval-mlogloss:0.468049
[139] train-mlogloss:0.201334 eval-mlogloss:0.467852
[140] train-mlogloss:0.200606 eval-mlogloss:0.467827
[141] train-mlogloss:0.199681 eval-mlogloss:0.467591
[142] train-mlogloss:0.198626 eval-mlogloss:0.467259
[143] train-mlogloss:0.197551 eval-mlogloss:0.467045
[144] train-mlogloss:0.196849 eval-mlogloss:0.466855
[145] train-mlogloss:0.196293 eval-mlogloss:0.466674
[146] train-mlogloss:0.195540 eval-mlogloss:0.466567
[147] train-mlogloss:0.194643 eval-mlogloss:0.466388
[148] train-mlogloss:0.193598 eval-mlogloss:0.466143
[149] train-mlogloss:0.192477 eval-mlogloss:0.465910
[150] train-mlogloss:0.191711 eval-mlogloss:0.465629
[151] train-mlogloss:0.191022 eval-mlogloss:0.465411
[152] train-mlogloss:0.190525 eval-mlogloss:0.465238
[153] train-mlogloss:0.189719 eval-mlogloss:0.465159
[154] train-mlogloss:0.189000 eval-mlogloss:0.465018
[155] train-mlogloss:0.187957 eval-mlogloss:0.464846
[156] train-mlogloss:0.187384 eval-mlogloss:0.464657
[157] train-mlogloss:0.186661 eval-mlogloss:0.464594
[158] train-mlogloss:0.185667 eval-mlogloss:0.464349
[159] train-mlogloss:0.184788 eval-mlogloss:0.464066
[160] train-mlogloss:0.183851 eval-mlogloss:0.463788
[161] train-mlogloss:0.182922 eval-mlogloss:0.463668
[162] train-mlogloss:0.182332 eval-mlogloss:0.463517
[163] train-mlogloss:0.181506 eval-mlogloss:0.463249
[164] train-mlogloss:0.180971 eval-mlogloss:0.463120
[165] train-mlogloss:0.180274 eval-mlogloss:0.463054
[166] train-mlogloss:0.179479 eval-mlogloss:0.462730
[167] train-mlogloss:0.179073 eval-mlogloss:0.462547
[168] train-mlogloss:0.178516 eval-mlogloss:0.462515
[169] train-mlogloss:0.177758 eval-mlogloss:0.462335
[170] train-mlogloss:0.177026 eval-mlogloss:0.462376
[171] train-mlogloss:0.176080 eval-mlogloss:0.462222
[172] train-mlogloss:0.175571 eval-mlogloss:0.462042
[173] train-mlogloss:0.174961 eval-mlogloss:0.461948
[174] train-mlogloss:0.174260 eval-mlogloss:0.461860
[175] train-mlogloss:0.173554 eval-mlogloss:0.461810
[176] train-mlogloss:0.173140 eval-mlogloss:0.461632
[177] train-mlogloss:0.172675 eval-mlogloss:0.461601
[178] train-mlogloss:0.171739 eval-mlogloss:0.461445
[179] train-mlogloss:0.171105 eval-mlogloss:0.461310
[180] train-mlogloss:0.170320 eval-mlogloss:0.461168
[181] train-mlogloss:0.169681 eval-mlogloss:0.461077
[182] train-mlogloss:0.168976 eval-mlogloss:0.460912
[183] train-mlogloss:0.168236 eval-mlogloss:0.460894
[184] train-mlogloss:0.167849 eval-mlogloss:0.460838
[185] train-mlogloss:0.167514 eval-mlogloss:0.460762
[186] train-mlogloss:0.166757 eval-mlogloss:0.460861
[187] train-mlogloss:0.166044 eval-mlogloss:0.460789
[188] train-mlogloss:0.165548 eval-mlogloss:0.460666
[189] train-mlogloss:0.165098 eval-mlogloss:0.460594
[190] train-mlogloss:0.164316 eval-mlogloss:0.460510
[191] train-mlogloss:0.163950 eval-mlogloss:0.460419
[192] train-mlogloss:0.163332 eval-mlogloss:0.460392
[193] train-mlogloss:0.162571 eval-mlogloss:0.460182
[194] train-mlogloss:0.161986 eval-mlogloss:0.460080
[195] train-mlogloss:0.161532 eval-mlogloss:0.460084
[196] train-mlogloss:0.160782 eval-mlogloss:0.460063
[197] train-mlogloss:0.160156 eval-mlogloss:0.460014
[198] train-mlogloss:0.159590 eval-mlogloss:0.459799
[199] train-mlogloss:0.159273 eval-mlogloss:0.459758
[200] train-mlogloss:0.158982 eval-mlogloss:0.459763
[201] train-mlogloss:0.158379 eval-mlogloss:0.459745
[202] train-mlogloss:0.157836 eval-mlogloss:0.459678
[203] train-mlogloss:0.157409 eval-mlogloss:0.459576
[204] train-mlogloss:0.157016 eval-mlogloss:0.459505
[205] train-mlogloss:0.156660 eval-mlogloss:0.459441
[206] train-mlogloss:0.156203 eval-mlogloss:0.459483
[207] train-mlogloss:0.155829 eval-mlogloss:0.459401
[208] train-mlogloss:0.155364 eval-mlogloss:0.459407
[209] train-mlogloss:0.154862 eval-mlogloss:0.459393
[210] train-mlogloss:0.154366 eval-mlogloss:0.459387
[211] train-mlogloss:0.153481 eval-mlogloss:0.459263
[212] train-mlogloss:0.152963 eval-mlogloss:0.459256
[213] train-mlogloss:0.152646 eval-mlogloss:0.459260
[214] train-mlogloss:0.152244 eval-mlogloss:0.459178
[215] train-mlogloss:0.151731 eval-mlogloss:0.459139
[216] train-mlogloss:0.151102 eval-mlogloss:0.459017
[217] train-mlogloss:0.150610 eval-mlogloss:0.458979
[218] train-mlogloss:0.150272 eval-mlogloss:0.458956
[219] train-mlogloss:0.149670 eval-mlogloss:0.458923
[220] train-mlogloss:0.149357 eval-mlogloss:0.458842
[221] train-mlogloss:0.148658 eval-mlogloss:0.458670
[222] train-mlogloss:0.148210 eval-mlogloss:0.458621
[223] train-mlogloss:0.147696 eval-mlogloss:0.458622
[224] train-mlogloss:0.147255 eval-mlogloss:0.458639
[225] train-mlogloss:0.146857 eval-mlogloss:0.458668
[226] train-mlogloss:0.146455 eval-mlogloss:0.458623
[227] train-mlogloss:0.145929 eval-mlogloss:0.458622
[228] train-mlogloss:0.145526 eval-mlogloss:0.458689
[229] train-mlogloss:0.145041 eval-mlogloss:0.458784
[230] train-mlogloss:0.144596 eval-mlogloss:0.458785
[231] train-mlogloss:0.144205 eval-mlogloss:0.458794
Training with params :
{'eta': 0.1, 'eval_metric': 'mlogloss', 'colsample_bytree': 1.0, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.4588339157524252
[232] train-mlogloss:0.143795 eval-mlogloss:0.458834
Stopping. Best iteration:
[222] train-mlogloss:0.148210 eval-mlogloss:0.458621
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.081045 eval-mlogloss:2.086550
[1] train-mlogloss:1.975791 eval-mlogloss:1.986854
[2] train-mlogloss:1.883200 eval-mlogloss:1.900712
[3] train-mlogloss:1.800326 eval-mlogloss:1.823300
[4] train-mlogloss:1.722833 eval-mlogloss:1.751300
[5] train-mlogloss:1.653812 eval-mlogloss:1.687712
[6] train-mlogloss:1.595202 eval-mlogloss:1.633060
[7] train-mlogloss:1.537885 eval-mlogloss:1.580063
[8] train-mlogloss:1.483482 eval-mlogloss:1.530075
[9] train-mlogloss:1.433287 eval-mlogloss:1.483791
[10] train-mlogloss:1.387029 eval-mlogloss:1.440845
[11] train-mlogloss:1.341797 eval-mlogloss:1.399799
[12] train-mlogloss:1.301539 eval-mlogloss:1.363066
[13] train-mlogloss:1.261161 eval-mlogloss:1.325816
[14] train-mlogloss:1.222581 eval-mlogloss:1.290881
[15] train-mlogloss:1.188516 eval-mlogloss:1.260269
[16] train-mlogloss:1.156385 eval-mlogloss:1.231197
[17] train-mlogloss:1.124050 eval-mlogloss:1.202034
[18] train-mlogloss:1.096210 eval-mlogloss:1.176954
[19] train-mlogloss:1.068261 eval-mlogloss:1.151682
[20] train-mlogloss:1.040120 eval-mlogloss:1.126852
[21] train-mlogloss:1.015496 eval-mlogloss:1.104965
[22] train-mlogloss:0.991665 eval-mlogloss:1.083605
[23] train-mlogloss:0.968383 eval-mlogloss:1.062698
[24] train-mlogloss:0.945950 eval-mlogloss:1.042628
[25] train-mlogloss:0.924697 eval-mlogloss:1.023644
[26] train-mlogloss:0.904686 eval-mlogloss:1.005462
[27] train-mlogloss:0.884575 eval-mlogloss:0.987654
[28] train-mlogloss:0.865310 eval-mlogloss:0.970689
[29] train-mlogloss:0.846035 eval-mlogloss:0.953598
[30] train-mlogloss:0.830142 eval-mlogloss:0.939507
[31] train-mlogloss:0.812817 eval-mlogloss:0.924617
[32] train-mlogloss:0.796839 eval-mlogloss:0.910775
[33] train-mlogloss:0.781245 eval-mlogloss:0.897564
[34] train-mlogloss:0.765539 eval-mlogloss:0.883974
[35] train-mlogloss:0.751989 eval-mlogloss:0.872142
[36] train-mlogloss:0.737626 eval-mlogloss:0.859792
[37] train-mlogloss:0.724330 eval-mlogloss:0.848348
[38] train-mlogloss:0.711260 eval-mlogloss:0.836901
[39] train-mlogloss:0.698670 eval-mlogloss:0.826282
[40] train-mlogloss:0.685726 eval-mlogloss:0.815301
[41] train-mlogloss:0.674589 eval-mlogloss:0.805855
[42] train-mlogloss:0.663345 eval-mlogloss:0.796026
[43] train-mlogloss:0.651751 eval-mlogloss:0.786010
[44] train-mlogloss:0.641825 eval-mlogloss:0.777471
[45] train-mlogloss:0.631454 eval-mlogloss:0.768789
[46] train-mlogloss:0.621638 eval-mlogloss:0.760601
[47] train-mlogloss:0.612408 eval-mlogloss:0.752891
[48] train-mlogloss:0.602988 eval-mlogloss:0.745016
[49] train-mlogloss:0.594339 eval-mlogloss:0.737508
[50] train-mlogloss:0.586444 eval-mlogloss:0.730765
[51] train-mlogloss:0.577645 eval-mlogloss:0.723365
[52] train-mlogloss:0.569723 eval-mlogloss:0.716322
[53] train-mlogloss:0.561627 eval-mlogloss:0.709369
[54] train-mlogloss:0.554109 eval-mlogloss:0.703263
[55] train-mlogloss:0.547085 eval-mlogloss:0.697514
[56] train-mlogloss:0.539806 eval-mlogloss:0.691293
[57] train-mlogloss:0.532648 eval-mlogloss:0.685387
[58] train-mlogloss:0.526055 eval-mlogloss:0.679931
[59] train-mlogloss:0.519407 eval-mlogloss:0.674485
[60] train-mlogloss:0.512775 eval-mlogloss:0.669187
[61] train-mlogloss:0.506561 eval-mlogloss:0.664421
[62] train-mlogloss:0.499782 eval-mlogloss:0.659251
[63] train-mlogloss:0.494525 eval-mlogloss:0.654763
[64] train-mlogloss:0.488770 eval-mlogloss:0.650254
[65] train-mlogloss:0.483556 eval-mlogloss:0.645976
[66] train-mlogloss:0.478418 eval-mlogloss:0.641783
[67] train-mlogloss:0.473495 eval-mlogloss:0.637767
[68] train-mlogloss:0.468113 eval-mlogloss:0.633658
[69] train-mlogloss:0.463030 eval-mlogloss:0.629568
[70] train-mlogloss:0.458088 eval-mlogloss:0.625647
[71] train-mlogloss:0.453483 eval-mlogloss:0.621793
[72] train-mlogloss:0.449033 eval-mlogloss:0.618199
[73] train-mlogloss:0.444280 eval-mlogloss:0.614460
[74] train-mlogloss:0.439719 eval-mlogloss:0.611006
[75] train-mlogloss:0.435799 eval-mlogloss:0.607869
[76] train-mlogloss:0.431400 eval-mlogloss:0.604737
[77] train-mlogloss:0.427375 eval-mlogloss:0.601718
[78] train-mlogloss:0.423810 eval-mlogloss:0.598898
[79] train-mlogloss:0.419909 eval-mlogloss:0.595952
[80] train-mlogloss:0.416082 eval-mlogloss:0.593301
[81] train-mlogloss:0.412447 eval-mlogloss:0.590565
[82] train-mlogloss:0.408502 eval-mlogloss:0.587526
[83] train-mlogloss:0.404750 eval-mlogloss:0.584844
[84] train-mlogloss:0.401660 eval-mlogloss:0.582281
[85] train-mlogloss:0.398317 eval-mlogloss:0.579811
[86] train-mlogloss:0.395040 eval-mlogloss:0.577355
[87] train-mlogloss:0.391755 eval-mlogloss:0.574970
[88] train-mlogloss:0.388312 eval-mlogloss:0.572474
[89] train-mlogloss:0.385433 eval-mlogloss:0.570314
[90] train-mlogloss:0.382181 eval-mlogloss:0.568158
[91] train-mlogloss:0.378782 eval-mlogloss:0.565774
[92] train-mlogloss:0.375940 eval-mlogloss:0.563756
[93] train-mlogloss:0.373250 eval-mlogloss:0.561805
[94] train-mlogloss:0.370661 eval-mlogloss:0.559775
[95] train-mlogloss:0.368186 eval-mlogloss:0.557902
[96] train-mlogloss:0.365484 eval-mlogloss:0.556004
[97] train-mlogloss:0.362721 eval-mlogloss:0.554001
[98] train-mlogloss:0.360278 eval-mlogloss:0.552303
[99] train-mlogloss:0.357772 eval-mlogloss:0.550546
[100] train-mlogloss:0.355679 eval-mlogloss:0.548957
[101] train-mlogloss:0.353258 eval-mlogloss:0.547158
[102] train-mlogloss:0.351214 eval-mlogloss:0.545722
[103] train-mlogloss:0.348822 eval-mlogloss:0.544082
[104] train-mlogloss:0.346682 eval-mlogloss:0.542318
[105] train-mlogloss:0.344558 eval-mlogloss:0.540834
[106] train-mlogloss:0.342325 eval-mlogloss:0.539358
[107] train-mlogloss:0.340375 eval-mlogloss:0.537959
[108] train-mlogloss:0.338088 eval-mlogloss:0.536384
[109] train-mlogloss:0.336174 eval-mlogloss:0.535021
[110] train-mlogloss:0.333944 eval-mlogloss:0.533459
[111] train-mlogloss:0.332040 eval-mlogloss:0.532147
[112] train-mlogloss:0.329968 eval-mlogloss:0.530716
[113] train-mlogloss:0.328075 eval-mlogloss:0.529562
[114] train-mlogloss:0.325948 eval-mlogloss:0.528150
[115] train-mlogloss:0.324039 eval-mlogloss:0.526801
[116] train-mlogloss:0.322080 eval-mlogloss:0.525599
[117] train-mlogloss:0.320606 eval-mlogloss:0.524478
[118] train-mlogloss:0.318913 eval-mlogloss:0.523422
[119] train-mlogloss:0.317054 eval-mlogloss:0.522060
[120] train-mlogloss:0.315275 eval-mlogloss:0.520789
[121] train-mlogloss:0.313878 eval-mlogloss:0.519821
[122] train-mlogloss:0.312143 eval-mlogloss:0.518743
[123] train-mlogloss:0.310762 eval-mlogloss:0.517813
[124] train-mlogloss:0.309387 eval-mlogloss:0.516746
[125] train-mlogloss:0.307770 eval-mlogloss:0.515628
[126] train-mlogloss:0.306436 eval-mlogloss:0.514768
[127] train-mlogloss:0.304963 eval-mlogloss:0.513795
[128] train-mlogloss:0.303544 eval-mlogloss:0.512902
[129] train-mlogloss:0.302097 eval-mlogloss:0.511869
[130] train-mlogloss:0.300808 eval-mlogloss:0.510963
[131] train-mlogloss:0.299577 eval-mlogloss:0.510120
[132] train-mlogloss:0.298319 eval-mlogloss:0.509355
[133] train-mlogloss:0.296781 eval-mlogloss:0.508404
[134] train-mlogloss:0.295487 eval-mlogloss:0.507664
[135] train-mlogloss:0.294197 eval-mlogloss:0.506824
[136] train-mlogloss:0.292552 eval-mlogloss:0.505780
[137] train-mlogloss:0.291353 eval-mlogloss:0.504951
[138] train-mlogloss:0.289915 eval-mlogloss:0.504211
[139] train-mlogloss:0.288493 eval-mlogloss:0.503363
[140] train-mlogloss:0.286986 eval-mlogloss:0.502545
[141] train-mlogloss:0.285983 eval-mlogloss:0.501859
[142] train-mlogloss:0.284945 eval-mlogloss:0.501197
[143] train-mlogloss:0.283921 eval-mlogloss:0.500447
[144] train-mlogloss:0.282838 eval-mlogloss:0.499714
[145] train-mlogloss:0.281659 eval-mlogloss:0.499017
[146] train-mlogloss:0.280573 eval-mlogloss:0.498364
[147] train-mlogloss:0.279341 eval-mlogloss:0.497757
[148] train-mlogloss:0.278288 eval-mlogloss:0.497163
[149] train-mlogloss:0.277189 eval-mlogloss:0.496541
[150] train-mlogloss:0.276266 eval-mlogloss:0.495929
[151] train-mlogloss:0.274989 eval-mlogloss:0.495292
[152] train-mlogloss:0.273740 eval-mlogloss:0.494700
[153] train-mlogloss:0.272727 eval-mlogloss:0.494126
[154] train-mlogloss:0.271724 eval-mlogloss:0.493608
[155] train-mlogloss:0.270786 eval-mlogloss:0.492967
[156] train-mlogloss:0.269929 eval-mlogloss:0.492431
[157] train-mlogloss:0.268822 eval-mlogloss:0.491895
[158] train-mlogloss:0.267762 eval-mlogloss:0.491359
[159] train-mlogloss:0.266863 eval-mlogloss:0.490809
[160] train-mlogloss:0.265910 eval-mlogloss:0.490326
[161] train-mlogloss:0.264895 eval-mlogloss:0.489809
[162] train-mlogloss:0.263976 eval-mlogloss:0.489250
[163] train-mlogloss:0.263045 eval-mlogloss:0.488666
[164] train-mlogloss:0.262314 eval-mlogloss:0.488228
[165] train-mlogloss:0.261289 eval-mlogloss:0.487679
[166] train-mlogloss:0.260351 eval-mlogloss:0.487313
[167] train-mlogloss:0.259361 eval-mlogloss:0.486739
[168] train-mlogloss:0.258205 eval-mlogloss:0.486246
[169] train-mlogloss:0.257558 eval-mlogloss:0.485835
[170] train-mlogloss:0.256883 eval-mlogloss:0.485404
[171] train-mlogloss:0.256183 eval-mlogloss:0.484935
[172] train-mlogloss:0.255562 eval-mlogloss:0.484569
[173] train-mlogloss:0.254752 eval-mlogloss:0.484119
[174] train-mlogloss:0.254056 eval-mlogloss:0.483674
[175] train-mlogloss:0.253217 eval-mlogloss:0.483196
[176] train-mlogloss:0.252425 eval-mlogloss:0.482810
[177] train-mlogloss:0.251444 eval-mlogloss:0.482413
[178] train-mlogloss:0.250698 eval-mlogloss:0.482086
[179] train-mlogloss:0.250020 eval-mlogloss:0.481661
[180] train-mlogloss:0.249054 eval-mlogloss:0.481297
[181] train-mlogloss:0.248401 eval-mlogloss:0.480956
[182] train-mlogloss:0.247792 eval-mlogloss:0.480525
[183] train-mlogloss:0.247295 eval-mlogloss:0.480196
[184] train-mlogloss:0.246568 eval-mlogloss:0.479826
[185] train-mlogloss:0.245850 eval-mlogloss:0.479467
[186] train-mlogloss:0.245080 eval-mlogloss:0.479060
[187] train-mlogloss:0.244384 eval-mlogloss:0.478689
[188] train-mlogloss:0.243801 eval-mlogloss:0.478335
[189] train-mlogloss:0.243133 eval-mlogloss:0.477919
[190] train-mlogloss:0.242473 eval-mlogloss:0.477544
[191] train-mlogloss:0.241773 eval-mlogloss:0.477243
[192] train-mlogloss:0.241243 eval-mlogloss:0.476946
[193] train-mlogloss:0.240542 eval-mlogloss:0.476626
[194] train-mlogloss:0.239873 eval-mlogloss:0.476291
[195] train-mlogloss:0.239349 eval-mlogloss:0.476061
[196] train-mlogloss:0.238881 eval-mlogloss:0.475726
[197] train-mlogloss:0.238154 eval-mlogloss:0.475421
[198] train-mlogloss:0.237483 eval-mlogloss:0.475149
[199] train-mlogloss:0.236761 eval-mlogloss:0.474814
[200] train-mlogloss:0.236097 eval-mlogloss:0.474468
[201] train-mlogloss:0.235493 eval-mlogloss:0.474202
[202] train-mlogloss:0.234940 eval-mlogloss:0.473912
[203] train-mlogloss:0.234200 eval-mlogloss:0.473594
[204] train-mlogloss:0.233462 eval-mlogloss:0.473352
[205] train-mlogloss:0.232817 eval-mlogloss:0.473054
[206] train-mlogloss:0.232218 eval-mlogloss:0.472809
[207] train-mlogloss:0.231670 eval-mlogloss:0.472501
[208] train-mlogloss:0.231212 eval-mlogloss:0.472289
[209] train-mlogloss:0.230679 eval-mlogloss:0.472003
[210] train-mlogloss:0.230207 eval-mlogloss:0.471750
[211] train-mlogloss:0.229762 eval-mlogloss:0.471573
[212] train-mlogloss:0.229329 eval-mlogloss:0.471317
[213] train-mlogloss:0.228844 eval-mlogloss:0.471118
[214] train-mlogloss:0.228438 eval-mlogloss:0.470876
[215] train-mlogloss:0.227805 eval-mlogloss:0.470656
[216] train-mlogloss:0.227323 eval-mlogloss:0.470449
[217] train-mlogloss:0.226960 eval-mlogloss:0.470252
[218] train-mlogloss:0.226494 eval-mlogloss:0.470019
[219] train-mlogloss:0.225919 eval-mlogloss:0.469759
[220] train-mlogloss:0.225410 eval-mlogloss:0.469536
[221] train-mlogloss:0.224851 eval-mlogloss:0.469320
[222] train-mlogloss:0.224405 eval-mlogloss:0.469119
[223] train-mlogloss:0.223899 eval-mlogloss:0.468873
[224] train-mlogloss:0.223489 eval-mlogloss:0.468639
[225] train-mlogloss:0.222891 eval-mlogloss:0.468395
[226] train-mlogloss:0.222195 eval-mlogloss:0.468126
[227] train-mlogloss:0.221741 eval-mlogloss:0.467914
[228] train-mlogloss:0.221206 eval-mlogloss:0.467775
[229] train-mlogloss:0.220658 eval-mlogloss:0.467510
[230] train-mlogloss:0.220161 eval-mlogloss:0.467281
[231] train-mlogloss:0.219747 eval-mlogloss:0.467146
[232] train-mlogloss:0.219314 eval-mlogloss:0.466985
[233] train-mlogloss:0.218636 eval-mlogloss:0.466809
[234] train-mlogloss:0.218088 eval-mlogloss:0.466600
[235] train-mlogloss:0.217721 eval-mlogloss:0.466395
[236] train-mlogloss:0.217246 eval-mlogloss:0.466173
[237] train-mlogloss:0.216577 eval-mlogloss:0.465993
[238] train-mlogloss:0.216158 eval-mlogloss:0.465774
[239] train-mlogloss:0.215828 eval-mlogloss:0.465664
[240] train-mlogloss:0.215336 eval-mlogloss:0.465522
[241] train-mlogloss:0.214828 eval-mlogloss:0.465325
[242] train-mlogloss:0.214549 eval-mlogloss:0.465212
[243] train-mlogloss:0.214144 eval-mlogloss:0.465040
[244] train-mlogloss:0.213526 eval-mlogloss:0.464825
[245] train-mlogloss:0.213057 eval-mlogloss:0.464709
[246] train-mlogloss:0.212663 eval-mlogloss:0.464572
[247] train-mlogloss:0.212173 eval-mlogloss:0.464363
[248] train-mlogloss:0.211693 eval-mlogloss:0.464188
[249] train-mlogloss:0.211082 eval-mlogloss:0.464040
[250] train-mlogloss:0.210639 eval-mlogloss:0.463870
[251] train-mlogloss:0.210283 eval-mlogloss:0.463695
[252] train-mlogloss:0.209717 eval-mlogloss:0.463539
[253] train-mlogloss:0.209386 eval-mlogloss:0.463386
[254] train-mlogloss:0.209068 eval-mlogloss:0.463223
[255] train-mlogloss:0.208836 eval-mlogloss:0.463094
[256] train-mlogloss:0.208452 eval-mlogloss:0.462917
[257] train-mlogloss:0.208101 eval-mlogloss:0.462756
[258] train-mlogloss:0.207711 eval-mlogloss:0.462645
[259] train-mlogloss:0.207301 eval-mlogloss:0.462502
[260] train-mlogloss:0.206999 eval-mlogloss:0.462386
[261] train-mlogloss:0.206640 eval-mlogloss:0.462237
[262] train-mlogloss:0.206047 eval-mlogloss:0.462027
[263] train-mlogloss:0.205652 eval-mlogloss:0.461886
[264] train-mlogloss:0.205260 eval-mlogloss:0.461732
[265] train-mlogloss:0.204772 eval-mlogloss:0.461633
[266] train-mlogloss:0.204383 eval-mlogloss:0.461427
[267] train-mlogloss:0.204181 eval-mlogloss:0.461357
[268] train-mlogloss:0.203777 eval-mlogloss:0.461188
[269] train-mlogloss:0.203464 eval-mlogloss:0.461066
[270] train-mlogloss:0.203178 eval-mlogloss:0.460954
[271] train-mlogloss:0.202742 eval-mlogloss:0.460825
[272] train-mlogloss:0.202305 eval-mlogloss:0.460722
[273] train-mlogloss:0.201815 eval-mlogloss:0.460635
[274] train-mlogloss:0.201429 eval-mlogloss:0.460549
[275] train-mlogloss:0.201095 eval-mlogloss:0.460432
[276] train-mlogloss:0.200816 eval-mlogloss:0.460285
[277] train-mlogloss:0.200346 eval-mlogloss:0.460097
[278] train-mlogloss:0.199998 eval-mlogloss:0.460005
[279] train-mlogloss:0.199499 eval-mlogloss:0.459870
[280] train-mlogloss:0.199224 eval-mlogloss:0.459806
[281] train-mlogloss:0.198850 eval-mlogloss:0.459670
[282] train-mlogloss:0.198563 eval-mlogloss:0.459535
[283] train-mlogloss:0.198299 eval-mlogloss:0.459476
[284] train-mlogloss:0.197932 eval-mlogloss:0.459383
[285] train-mlogloss:0.197483 eval-mlogloss:0.459214
[286] train-mlogloss:0.197079 eval-mlogloss:0.459131
[287] train-mlogloss:0.196748 eval-mlogloss:0.459041
[288] train-mlogloss:0.196351 eval-mlogloss:0.458911
[289] train-mlogloss:0.195929 eval-mlogloss:0.458837
[290] train-mlogloss:0.195608 eval-mlogloss:0.458780
[291] train-mlogloss:0.195326 eval-mlogloss:0.458685
[292] train-mlogloss:0.194987 eval-mlogloss:0.458622
[293] train-mlogloss:0.194520 eval-mlogloss:0.458449
[294] train-mlogloss:0.194252 eval-mlogloss:0.458352
[295] train-mlogloss:0.193841 eval-mlogloss:0.458239
[296] train-mlogloss:0.193404 eval-mlogloss:0.458197
[297] train-mlogloss:0.193084 eval-mlogloss:0.458106
[298] train-mlogloss:0.192787 eval-mlogloss:0.458018
[299] train-mlogloss:0.192498 eval-mlogloss:0.457900
[300] train-mlogloss:0.192152 eval-mlogloss:0.457827
[301] train-mlogloss:0.191852 eval-mlogloss:0.457747
[302] train-mlogloss:0.191554 eval-mlogloss:0.457643
[303] train-mlogloss:0.191293 eval-mlogloss:0.457634
[304] train-mlogloss:0.190825 eval-mlogloss:0.457507
[305] train-mlogloss:0.190453 eval-mlogloss:0.457445
[306] train-mlogloss:0.190066 eval-mlogloss:0.457356
[307] train-mlogloss:0.189696 eval-mlogloss:0.457271
[308] train-mlogloss:0.189516 eval-mlogloss:0.457164
[309] train-mlogloss:0.189239 eval-mlogloss:0.457049
[310] train-mlogloss:0.188808 eval-mlogloss:0.456940
[311] train-mlogloss:0.188417 eval-mlogloss:0.456793
[312] train-mlogloss:0.188093 eval-mlogloss:0.456733
[313] train-mlogloss:0.187847 eval-mlogloss:0.456691
[314] train-mlogloss:0.187533 eval-mlogloss:0.456593
[315] train-mlogloss:0.187279 eval-mlogloss:0.456475
[316] train-mlogloss:0.186992 eval-mlogloss:0.456423
[317] train-mlogloss:0.186721 eval-mlogloss:0.456343
[318] train-mlogloss:0.186347 eval-mlogloss:0.456285
[319] train-mlogloss:0.186043 eval-mlogloss:0.456226
[320] train-mlogloss:0.185676 eval-mlogloss:0.456153
[321] train-mlogloss:0.185462 eval-mlogloss:0.456152
[322] train-mlogloss:0.185107 eval-mlogloss:0.456074
[323] train-mlogloss:0.184791 eval-mlogloss:0.456078
[324] train-mlogloss:0.184505 eval-mlogloss:0.455989
[325] train-mlogloss:0.184150 eval-mlogloss:0.455800
[326] train-mlogloss:0.183932 eval-mlogloss:0.455766
[327] train-mlogloss:0.183420 eval-mlogloss:0.455674
[328] train-mlogloss:0.183160 eval-mlogloss:0.455659
[329] train-mlogloss:0.182756 eval-mlogloss:0.455571
[330] train-mlogloss:0.182552 eval-mlogloss:0.455465
[331] train-mlogloss:0.182361 eval-mlogloss:0.455434
[332] train-mlogloss:0.182072 eval-mlogloss:0.455353
[333] train-mlogloss:0.181744 eval-mlogloss:0.455265
[334] train-mlogloss:0.181497 eval-mlogloss:0.455249
[335] train-mlogloss:0.181130 eval-mlogloss:0.455237
[336] train-mlogloss:0.180792 eval-mlogloss:0.455108
[337] train-mlogloss:0.180533 eval-mlogloss:0.454990
[338] train-mlogloss:0.180215 eval-mlogloss:0.454881
[339] train-mlogloss:0.179934 eval-mlogloss:0.454789
[340] train-mlogloss:0.179736 eval-mlogloss:0.454717
[341] train-mlogloss:0.179515 eval-mlogloss:0.454672
[342] train-mlogloss:0.179299 eval-mlogloss:0.454591
[343] train-mlogloss:0.178947 eval-mlogloss:0.454522
[344] train-mlogloss:0.178684 eval-mlogloss:0.454466
[345] train-mlogloss:0.178341 eval-mlogloss:0.454374
[346] train-mlogloss:0.178185 eval-mlogloss:0.454292
[347] train-mlogloss:0.177932 eval-mlogloss:0.454192
[348] train-mlogloss:0.177682 eval-mlogloss:0.454120
[349] train-mlogloss:0.177468 eval-mlogloss:0.454095
[350] train-mlogloss:0.177227 eval-mlogloss:0.454092
[351] train-mlogloss:0.176894 eval-mlogloss:0.453993
[352] train-mlogloss:0.176662 eval-mlogloss:0.453957
[353] train-mlogloss:0.176429 eval-mlogloss:0.453864
[354] train-mlogloss:0.176151 eval-mlogloss:0.453790
[355] train-mlogloss:0.175873 eval-mlogloss:0.453678
[356] train-mlogloss:0.175614 eval-mlogloss:0.453648
[357] train-mlogloss:0.175424 eval-mlogloss:0.453658
[358] train-mlogloss:0.175217 eval-mlogloss:0.453559
[359] train-mlogloss:0.174947 eval-mlogloss:0.453430
[360] train-mlogloss:0.174645 eval-mlogloss:0.453402
[361] train-mlogloss:0.174431 eval-mlogloss:0.453349
[362] train-mlogloss:0.174068 eval-mlogloss:0.453317
[363] train-mlogloss:0.173855 eval-mlogloss:0.453346
[364] train-mlogloss:0.173595 eval-mlogloss:0.453319
[365] train-mlogloss:0.173400 eval-mlogloss:0.453264
[366] train-mlogloss:0.173142 eval-mlogloss:0.453194
[367] train-mlogloss:0.172751 eval-mlogloss:0.453100
[368] train-mlogloss:0.172554 eval-mlogloss:0.453056
[369] train-mlogloss:0.172328 eval-mlogloss:0.452923
[370] train-mlogloss:0.172113 eval-mlogloss:0.452921
[371] train-mlogloss:0.171791 eval-mlogloss:0.452884
[372] train-mlogloss:0.171566 eval-mlogloss:0.452861
[373] train-mlogloss:0.171237 eval-mlogloss:0.452840
[374] train-mlogloss:0.170989 eval-mlogloss:0.452767
[375] train-mlogloss:0.170807 eval-mlogloss:0.452717
[376] train-mlogloss:0.170638 eval-mlogloss:0.452678
[377] train-mlogloss:0.170443 eval-mlogloss:0.452618
[378] train-mlogloss:0.170169 eval-mlogloss:0.452553
[379] train-mlogloss:0.170029 eval-mlogloss:0.452504
[380] train-mlogloss:0.169797 eval-mlogloss:0.452409
[381] train-mlogloss:0.169631 eval-mlogloss:0.452392
[382] train-mlogloss:0.169316 eval-mlogloss:0.452321
[383] train-mlogloss:0.169104 eval-mlogloss:0.452203
[384] train-mlogloss:0.168757 eval-mlogloss:0.452125
[385] train-mlogloss:0.168645 eval-mlogloss:0.452098
[386] train-mlogloss:0.168453 eval-mlogloss:0.452051
[387] train-mlogloss:0.168323 eval-mlogloss:0.451991
[388] train-mlogloss:0.168022 eval-mlogloss:0.452004
[389] train-mlogloss:0.167861 eval-mlogloss:0.452028
[390] train-mlogloss:0.167588 eval-mlogloss:0.451971
[391] train-mlogloss:0.167261 eval-mlogloss:0.451916
[392] train-mlogloss:0.167024 eval-mlogloss:0.451911
[393] train-mlogloss:0.166717 eval-mlogloss:0.451823
[394] train-mlogloss:0.166440 eval-mlogloss:0.451767
[395] train-mlogloss:0.166263 eval-mlogloss:0.451730
[396] train-mlogloss:0.166120 eval-mlogloss:0.451705
[397] train-mlogloss:0.165963 eval-mlogloss:0.451705
[398] train-mlogloss:0.165611 eval-mlogloss:0.451673
[399] train-mlogloss:0.165363 eval-mlogloss:0.451622
[400] train-mlogloss:0.165200 eval-mlogloss:0.451673
[401] train-mlogloss:0.164987 eval-mlogloss:0.451673
[402] train-mlogloss:0.164781 eval-mlogloss:0.451611
[403] train-mlogloss:0.164579 eval-mlogloss:0.451640
[404] train-mlogloss:0.164468 eval-mlogloss:0.451598
[405] train-mlogloss:0.164142 eval-mlogloss:0.451540
[406] train-mlogloss:0.163918 eval-mlogloss:0.451515
[407] train-mlogloss:0.163628 eval-mlogloss:0.451473
[408] train-mlogloss:0.163403 eval-mlogloss:0.451469
[409] train-mlogloss:0.163202 eval-mlogloss:0.451388
[410] train-mlogloss:0.162970 eval-mlogloss:0.451360
[411] train-mlogloss:0.162787 eval-mlogloss:0.451326
[412] train-mlogloss:0.162484 eval-mlogloss:0.451260
[413] train-mlogloss:0.162191 eval-mlogloss:0.451251
[414] train-mlogloss:0.161995 eval-mlogloss:0.451253
[415] train-mlogloss:0.161868 eval-mlogloss:0.451256
[416] train-mlogloss:0.161614 eval-mlogloss:0.451205
[417] train-mlogloss:0.161454 eval-mlogloss:0.451150
[418] train-mlogloss:0.161249 eval-mlogloss:0.451086
[419] train-mlogloss:0.161098 eval-mlogloss:0.451050
[420] train-mlogloss:0.160787 eval-mlogloss:0.450983
[421] train-mlogloss:0.160598 eval-mlogloss:0.450908
[422] train-mlogloss:0.160397 eval-mlogloss:0.450870
[423] train-mlogloss:0.160258 eval-mlogloss:0.450850
[424] train-mlogloss:0.160043 eval-mlogloss:0.450758
[425] train-mlogloss:0.159819 eval-mlogloss:0.450665
[426] train-mlogloss:0.159645 eval-mlogloss:0.450640
[427] train-mlogloss:0.159195 eval-mlogloss:0.450611
[428] train-mlogloss:0.159034 eval-mlogloss:0.450576
[429] train-mlogloss:0.158743 eval-mlogloss:0.450537
[430] train-mlogloss:0.158571 eval-mlogloss:0.450517
[431] train-mlogloss:0.158395 eval-mlogloss:0.450497
[432] train-mlogloss:0.158179 eval-mlogloss:0.450408
[433] train-mlogloss:0.157992 eval-mlogloss:0.450383
[434] train-mlogloss:0.157803 eval-mlogloss:0.450331
[435] train-mlogloss:0.157567 eval-mlogloss:0.450314
[436] train-mlogloss:0.157276 eval-mlogloss:0.450298
[437] train-mlogloss:0.157031 eval-mlogloss:0.450236
[438] train-mlogloss:0.156870 eval-mlogloss:0.450190
[439] train-mlogloss:0.156628 eval-mlogloss:0.450143
[440] train-mlogloss:0.156436 eval-mlogloss:0.450158
[441] train-mlogloss:0.156282 eval-mlogloss:0.450148
[442] train-mlogloss:0.156130 eval-mlogloss:0.450114
[443] train-mlogloss:0.155990 eval-mlogloss:0.450083
[444] train-mlogloss:0.155708 eval-mlogloss:0.450013
[445] train-mlogloss:0.155382 eval-mlogloss:0.449960
[446] train-mlogloss:0.155264 eval-mlogloss:0.449925
[447] train-mlogloss:0.155146 eval-mlogloss:0.449896
[448] train-mlogloss:0.154942 eval-mlogloss:0.449834
[449] train-mlogloss:0.154759 eval-mlogloss:0.449800
[450] train-mlogloss:0.154582 eval-mlogloss:0.449796
[451] train-mlogloss:0.154313 eval-mlogloss:0.449788
[452] train-mlogloss:0.154169 eval-mlogloss:0.449742
[453] train-mlogloss:0.154044 eval-mlogloss:0.449702
[454] train-mlogloss:0.153822 eval-mlogloss:0.449695
[455] train-mlogloss:0.153666 eval-mlogloss:0.449687
[456] train-mlogloss:0.153542 eval-mlogloss:0.449706
[457] train-mlogloss:0.153306 eval-mlogloss:0.449683
[458] train-mlogloss:0.153152 eval-mlogloss:0.449683
[459] train-mlogloss:0.153047 eval-mlogloss:0.449671
[460] train-mlogloss:0.152890 eval-mlogloss:0.449625
[461] train-mlogloss:0.152712 eval-mlogloss:0.449585
[462] train-mlogloss:0.152450 eval-mlogloss:0.449594
[463] train-mlogloss:0.152243 eval-mlogloss:0.449547
[464] train-mlogloss:0.152097 eval-mlogloss:0.449506
[465] train-mlogloss:0.151885 eval-mlogloss:0.449502
[466] train-mlogloss:0.151746 eval-mlogloss:0.449459
[467] train-mlogloss:0.151578 eval-mlogloss:0.449457
[468] train-mlogloss:0.151407 eval-mlogloss:0.449436
[469] train-mlogloss:0.151208 eval-mlogloss:0.449392
[470] train-mlogloss:0.151050 eval-mlogloss:0.449389
[471] train-mlogloss:0.150884 eval-mlogloss:0.449319
[472] train-mlogloss:0.150750 eval-mlogloss:0.449279
[473] train-mlogloss:0.150551 eval-mlogloss:0.449253
[474] train-mlogloss:0.150346 eval-mlogloss:0.449227
[475] train-mlogloss:0.150129 eval-mlogloss:0.449194
[476] train-mlogloss:0.149934 eval-mlogloss:0.449156
[477] train-mlogloss:0.149690 eval-mlogloss:0.449212
[478] train-mlogloss:0.149515 eval-mlogloss:0.449238
[479] train-mlogloss:0.149364 eval-mlogloss:0.449195
[480] train-mlogloss:0.149204 eval-mlogloss:0.449176
[481] train-mlogloss:0.149020 eval-mlogloss:0.449187
[482] train-mlogloss:0.148857 eval-mlogloss:0.449147
[483] train-mlogloss:0.148684 eval-mlogloss:0.449137
[484] train-mlogloss:0.148594 eval-mlogloss:0.449122
[485] train-mlogloss:0.148459 eval-mlogloss:0.449113
[486] train-mlogloss:0.148292 eval-mlogloss:0.449116
[487] train-mlogloss:0.148211 eval-mlogloss:0.449107
[488] train-mlogloss:0.147921 eval-mlogloss:0.449118
[489] train-mlogloss:0.147745 eval-mlogloss:0.449094
[490] train-mlogloss:0.147608 eval-mlogloss:0.449090
[491] train-mlogloss:0.147496 eval-mlogloss:0.449071
[492] train-mlogloss:0.147357 eval-mlogloss:0.449050
[493] train-mlogloss:0.147204 eval-mlogloss:0.449017
[494] train-mlogloss:0.147040 eval-mlogloss:0.449023
[495] train-mlogloss:0.146876 eval-mlogloss:0.449077
[496] train-mlogloss:0.146733 eval-mlogloss:0.449022
[497] train-mlogloss:0.146590 eval-mlogloss:0.449018
[498] train-mlogloss:0.146317 eval-mlogloss:0.448977
[499] train-mlogloss:0.146177 eval-mlogloss:0.448997
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.4489965501643818
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.140812 eval-mlogloss:2.143782
[1] train-mlogloss:2.084494 eval-mlogloss:2.090098
[2] train-mlogloss:2.032533 eval-mlogloss:2.041078
[3] train-mlogloss:1.984148 eval-mlogloss:1.995341
[4] train-mlogloss:1.938730 eval-mlogloss:1.951998
[5] train-mlogloss:1.897586 eval-mlogloss:1.913579
[6] train-mlogloss:1.855945 eval-mlogloss:1.874430
[7] train-mlogloss:1.818700 eval-mlogloss:1.839553
[8] train-mlogloss:1.782376 eval-mlogloss:1.805764
[9] train-mlogloss:1.749322 eval-mlogloss:1.774983
[10] train-mlogloss:1.715019 eval-mlogloss:1.742908
[11] train-mlogloss:1.682181 eval-mlogloss:1.712256
[12] train-mlogloss:1.650655 eval-mlogloss:1.682820
[13] train-mlogloss:1.622102 eval-mlogloss:1.656510
[14] train-mlogloss:1.593004 eval-mlogloss:1.629436
[15] train-mlogloss:1.563506 eval-mlogloss:1.601461
[16] train-mlogloss:1.537768 eval-mlogloss:1.577626
[17] train-mlogloss:1.512005 eval-mlogloss:1.553954
[18] train-mlogloss:1.486545 eval-mlogloss:1.530343
[19] train-mlogloss:1.461500 eval-mlogloss:1.507200
[20] train-mlogloss:1.437996 eval-mlogloss:1.485407
[21] train-mlogloss:1.415826 eval-mlogloss:1.464999
[22] train-mlogloss:1.395057 eval-mlogloss:1.445638
[23] train-mlogloss:1.372486 eval-mlogloss:1.424835
[24] train-mlogloss:1.352088 eval-mlogloss:1.406086
[25] train-mlogloss:1.332365 eval-mlogloss:1.388133
[26] train-mlogloss:1.311460 eval-mlogloss:1.368902
[27] train-mlogloss:1.291960 eval-mlogloss:1.351034
[28] train-mlogloss:1.272077 eval-mlogloss:1.332821
[29] train-mlogloss:1.252765 eval-mlogloss:1.315311
[30] train-mlogloss:1.235387 eval-mlogloss:1.299573
[31] train-mlogloss:1.217872 eval-mlogloss:1.283587
[32] train-mlogloss:1.201692 eval-mlogloss:1.268806
[33] train-mlogloss:1.184906 eval-mlogloss:1.253176
[34] train-mlogloss:1.169234 eval-mlogloss:1.238951
[35] train-mlogloss:1.153251 eval-mlogloss:1.224245
[36] train-mlogloss:1.138121 eval-mlogloss:1.210511
[37] train-mlogloss:1.122561 eval-mlogloss:1.196157
[38] train-mlogloss:1.108577 eval-mlogloss:1.183354
[39] train-mlogloss:1.094633 eval-mlogloss:1.170863
[40] train-mlogloss:1.080569 eval-mlogloss:1.158190
[41] train-mlogloss:1.067216 eval-mlogloss:1.146055
[42] train-mlogloss:1.053780 eval-mlogloss:1.133739
[43] train-mlogloss:1.041353 eval-mlogloss:1.122753
[44] train-mlogloss:1.028809 eval-mlogloss:1.111703
[45] train-mlogloss:1.016269 eval-mlogloss:1.100426
[46] train-mlogloss:1.004593 eval-mlogloss:1.089668
[47] train-mlogloss:0.994081 eval-mlogloss:1.080417
[48] train-mlogloss:0.982360 eval-mlogloss:1.069819
[49] train-mlogloss:0.971461 eval-mlogloss:1.060004
[50] train-mlogloss:0.960900 eval-mlogloss:1.050681
[51] train-mlogloss:0.950056 eval-mlogloss:1.040833
[52] train-mlogloss:0.939056 eval-mlogloss:1.030939
[53] train-mlogloss:0.928548 eval-mlogloss:1.021462
[54] train-mlogloss:0.918746 eval-mlogloss:1.012881
[55] train-mlogloss:0.909049 eval-mlogloss:1.004449
[56] train-mlogloss:0.899506 eval-mlogloss:0.996071
[57] train-mlogloss:0.889810 eval-mlogloss:0.987481
[58] train-mlogloss:0.880379 eval-mlogloss:0.979144
[59] train-mlogloss:0.870882 eval-mlogloss:0.970953
[60] train-mlogloss:0.862472 eval-mlogloss:0.963497
[61] train-mlogloss:0.853503 eval-mlogloss:0.955526
[62] train-mlogloss:0.844820 eval-mlogloss:0.947722
[63] train-mlogloss:0.836501 eval-mlogloss:0.940493
[64] train-mlogloss:0.828125 eval-mlogloss:0.932996
[65] train-mlogloss:0.819974 eval-mlogloss:0.925735
[66] train-mlogloss:0.811718 eval-mlogloss:0.918628
[67] train-mlogloss:0.803931 eval-mlogloss:0.911882
[68] train-mlogloss:0.795946 eval-mlogloss:0.904790
[69] train-mlogloss:0.788240 eval-mlogloss:0.898018
[70] train-mlogloss:0.780939 eval-mlogloss:0.891592
[71] train-mlogloss:0.773272 eval-mlogloss:0.884835
[72] train-mlogloss:0.766266 eval-mlogloss:0.878712
[73] train-mlogloss:0.759632 eval-mlogloss:0.872721
[74] train-mlogloss:0.752920 eval-mlogloss:0.866772
[75] train-mlogloss:0.746348 eval-mlogloss:0.861189
[76] train-mlogloss:0.739295 eval-mlogloss:0.855169
[77] train-mlogloss:0.732990 eval-mlogloss:0.849656
[78] train-mlogloss:0.726973 eval-mlogloss:0.844372
[79] train-mlogloss:0.720939 eval-mlogloss:0.839099
[80] train-mlogloss:0.714341 eval-mlogloss:0.833459
[81] train-mlogloss:0.708026 eval-mlogloss:0.827811
[82] train-mlogloss:0.701961 eval-mlogloss:0.822682
[83] train-mlogloss:0.696108 eval-mlogloss:0.817759
[84] train-mlogloss:0.689751 eval-mlogloss:0.812286
[85] train-mlogloss:0.683889 eval-mlogloss:0.807208
[86] train-mlogloss:0.678101 eval-mlogloss:0.802304
[87] train-mlogloss:0.672807 eval-mlogloss:0.797775
[88] train-mlogloss:0.667291 eval-mlogloss:0.793028
[89] train-mlogloss:0.661909 eval-mlogloss:0.788371
[90] train-mlogloss:0.656410 eval-mlogloss:0.783678
[91] train-mlogloss:0.651020 eval-mlogloss:0.779072
[92] train-mlogloss:0.646424 eval-mlogloss:0.775210
[93] train-mlogloss:0.641484 eval-mlogloss:0.771075
[94] train-mlogloss:0.636660 eval-mlogloss:0.766964
[95] train-mlogloss:0.631953 eval-mlogloss:0.762987
[96] train-mlogloss:0.627320 eval-mlogloss:0.759027
[97] train-mlogloss:0.622490 eval-mlogloss:0.754853
[98] train-mlogloss:0.617906 eval-mlogloss:0.750917
[99] train-mlogloss:0.613310 eval-mlogloss:0.746955
[100] train-mlogloss:0.608833 eval-mlogloss:0.743204
[101] train-mlogloss:0.604507 eval-mlogloss:0.739581
[102] train-mlogloss:0.600502 eval-mlogloss:0.736148
[103] train-mlogloss:0.596178 eval-mlogloss:0.732419
[104] train-mlogloss:0.591818 eval-mlogloss:0.728831
[105] train-mlogloss:0.587670 eval-mlogloss:0.725328
[106] train-mlogloss:0.583588 eval-mlogloss:0.722118
[107] train-mlogloss:0.579510 eval-mlogloss:0.718710
[108] train-mlogloss:0.575622 eval-mlogloss:0.715422
[109] train-mlogloss:0.571816 eval-mlogloss:0.712140
[110] train-mlogloss:0.568011 eval-mlogloss:0.708981
[111] train-mlogloss:0.564111 eval-mlogloss:0.705709
[112] train-mlogloss:0.560434 eval-mlogloss:0.702597
[113] train-mlogloss:0.556746 eval-mlogloss:0.699613
[114] train-mlogloss:0.553081 eval-mlogloss:0.696701
[115] train-mlogloss:0.549537 eval-mlogloss:0.693818
[116] train-mlogloss:0.545987 eval-mlogloss:0.690854
[117] train-mlogloss:0.542213 eval-mlogloss:0.687723
[118] train-mlogloss:0.539031 eval-mlogloss:0.685097
[119] train-mlogloss:0.535830 eval-mlogloss:0.682419
[120] train-mlogloss:0.532270 eval-mlogloss:0.679641
[121] train-mlogloss:0.529221 eval-mlogloss:0.677041
[122] train-mlogloss:0.525974 eval-mlogloss:0.674431
[123] train-mlogloss:0.522642 eval-mlogloss:0.671712
[124] train-mlogloss:0.519563 eval-mlogloss:0.669247
[125] train-mlogloss:0.516415 eval-mlogloss:0.666717
[126] train-mlogloss:0.513402 eval-mlogloss:0.664380
[127] train-mlogloss:0.510402 eval-mlogloss:0.661887
[128] train-mlogloss:0.507448 eval-mlogloss:0.659492
[129] train-mlogloss:0.504418 eval-mlogloss:0.656997
[130] train-mlogloss:0.501484 eval-mlogloss:0.654690
[131] train-mlogloss:0.498720 eval-mlogloss:0.652413
[132] train-mlogloss:0.496229 eval-mlogloss:0.650401
[133] train-mlogloss:0.493604 eval-mlogloss:0.648327
[134] train-mlogloss:0.490670 eval-mlogloss:0.645968
[135] train-mlogloss:0.487865 eval-mlogloss:0.643744
[136] train-mlogloss:0.484902 eval-mlogloss:0.641430
[137] train-mlogloss:0.482357 eval-mlogloss:0.639346
[138] train-mlogloss:0.479754 eval-mlogloss:0.637287
[139] train-mlogloss:0.477454 eval-mlogloss:0.635369
[140] train-mlogloss:0.475208 eval-mlogloss:0.633550
[141] train-mlogloss:0.472874 eval-mlogloss:0.631677
[142] train-mlogloss:0.470367 eval-mlogloss:0.629700
[143] train-mlogloss:0.468016 eval-mlogloss:0.627909
[144] train-mlogloss:0.465741 eval-mlogloss:0.626125
[145] train-mlogloss:0.463364 eval-mlogloss:0.624278
[146] train-mlogloss:0.461239 eval-mlogloss:0.622630
[147] train-mlogloss:0.459234 eval-mlogloss:0.620963
[148] train-mlogloss:0.457011 eval-mlogloss:0.619228
[149] train-mlogloss:0.454642 eval-mlogloss:0.617416
[150] train-mlogloss:0.452288 eval-mlogloss:0.615597
[151] train-mlogloss:0.449917 eval-mlogloss:0.613732
[152] train-mlogloss:0.447742 eval-mlogloss:0.612150
[153] train-mlogloss:0.445653 eval-mlogloss:0.610572
[154] train-mlogloss:0.443372 eval-mlogloss:0.608905
[155] train-mlogloss:0.441134 eval-mlogloss:0.607198
[156] train-mlogloss:0.439087 eval-mlogloss:0.605587
[157] train-mlogloss:0.437169 eval-mlogloss:0.604094
[158] train-mlogloss:0.435256 eval-mlogloss:0.602602
[159] train-mlogloss:0.433078 eval-mlogloss:0.600998
[160] train-mlogloss:0.431314 eval-mlogloss:0.599643
[161] train-mlogloss:0.429230 eval-mlogloss:0.598215
[162] train-mlogloss:0.427206 eval-mlogloss:0.596628
[163] train-mlogloss:0.425403 eval-mlogloss:0.595310
[164] train-mlogloss:0.423633 eval-mlogloss:0.593928
[165] train-mlogloss:0.421683 eval-mlogloss:0.592582
[166] train-mlogloss:0.419871 eval-mlogloss:0.591221
[167] train-mlogloss:0.418155 eval-mlogloss:0.589809
[168] train-mlogloss:0.416638 eval-mlogloss:0.588590
[169] train-mlogloss:0.414982 eval-mlogloss:0.587406
[170] train-mlogloss:0.413403 eval-mlogloss:0.586132
[171] train-mlogloss:0.411835 eval-mlogloss:0.584952
[172] train-mlogloss:0.409851 eval-mlogloss:0.583590
[173] train-mlogloss:0.408184 eval-mlogloss:0.582245
[174] train-mlogloss:0.406459 eval-mlogloss:0.580962
[175] train-mlogloss:0.404958 eval-mlogloss:0.579796
[176] train-mlogloss:0.403371 eval-mlogloss:0.578615
[177] train-mlogloss:0.401827 eval-mlogloss:0.577443
[178] train-mlogloss:0.400230 eval-mlogloss:0.576334
[179] train-mlogloss:0.398762 eval-mlogloss:0.575150
[180] train-mlogloss:0.397095 eval-mlogloss:0.574024
[181] train-mlogloss:0.395253 eval-mlogloss:0.572754
[182] train-mlogloss:0.393885 eval-mlogloss:0.571710
[183] train-mlogloss:0.392201 eval-mlogloss:0.570512
[184] train-mlogloss:0.390564 eval-mlogloss:0.569404
[185] train-mlogloss:0.389101 eval-mlogloss:0.568366
[186] train-mlogloss:0.387604 eval-mlogloss:0.567363
[187] train-mlogloss:0.386008 eval-mlogloss:0.566247
[188] train-mlogloss:0.384511 eval-mlogloss:0.565178
[189] train-mlogloss:0.382917 eval-mlogloss:0.564084
[190] train-mlogloss:0.381510 eval-mlogloss:0.563020
[191] train-mlogloss:0.379975 eval-mlogloss:0.562014
[192] train-mlogloss:0.378618 eval-mlogloss:0.561013
[193] train-mlogloss:0.377146 eval-mlogloss:0.559978
[194] train-mlogloss:0.375857 eval-mlogloss:0.558998
[195] train-mlogloss:0.374710 eval-mlogloss:0.558091
[196] train-mlogloss:0.373333 eval-mlogloss:0.557184
[197] train-mlogloss:0.371961 eval-mlogloss:0.556207
[198] train-mlogloss:0.370630 eval-mlogloss:0.555271
[199] train-mlogloss:0.369250 eval-mlogloss:0.554271
[200] train-mlogloss:0.367941 eval-mlogloss:0.553347
[201] train-mlogloss:0.366515 eval-mlogloss:0.552378
[202] train-mlogloss:0.365282 eval-mlogloss:0.551569
[203] train-mlogloss:0.364094 eval-mlogloss:0.550713
[204] train-mlogloss:0.362861 eval-mlogloss:0.549817
[205] train-mlogloss:0.361704 eval-mlogloss:0.549040
[206] train-mlogloss:0.360257 eval-mlogloss:0.548173
[207] train-mlogloss:0.358931 eval-mlogloss:0.547326
[208] train-mlogloss:0.357850 eval-mlogloss:0.546587
[209] train-mlogloss:0.356745 eval-mlogloss:0.545773
[210] train-mlogloss:0.355693 eval-mlogloss:0.545000
[211] train-mlogloss:0.354495 eval-mlogloss:0.544149
[212] train-mlogloss:0.353443 eval-mlogloss:0.543444
[213] train-mlogloss:0.352243 eval-mlogloss:0.542692
[214] train-mlogloss:0.351073 eval-mlogloss:0.541863
[215] train-mlogloss:0.349780 eval-mlogloss:0.541053
[216] train-mlogloss:0.348604 eval-mlogloss:0.540310
[217] train-mlogloss:0.347606 eval-mlogloss:0.539537
[218] train-mlogloss:0.346439 eval-mlogloss:0.538697
[219] train-mlogloss:0.345427 eval-mlogloss:0.538031
[220] train-mlogloss:0.344383 eval-mlogloss:0.537416
[221] train-mlogloss:0.343338 eval-mlogloss:0.536762
[222] train-mlogloss:0.342232 eval-mlogloss:0.536056
[223] train-mlogloss:0.341430 eval-mlogloss:0.535423
[224] train-mlogloss:0.340646 eval-mlogloss:0.534839
[225] train-mlogloss:0.339591 eval-mlogloss:0.534186
[226] train-mlogloss:0.338656 eval-mlogloss:0.533621
[227] train-mlogloss:0.337541 eval-mlogloss:0.532835
[228] train-mlogloss:0.336586 eval-mlogloss:0.532205
[229] train-mlogloss:0.335806 eval-mlogloss:0.531665
[230] train-mlogloss:0.334914 eval-mlogloss:0.530992
[231] train-mlogloss:0.333952 eval-mlogloss:0.530415
[232] train-mlogloss:0.333030 eval-mlogloss:0.529814
[233] train-mlogloss:0.332076 eval-mlogloss:0.529183
[234] train-mlogloss:0.331225 eval-mlogloss:0.528617
[235] train-mlogloss:0.330414 eval-mlogloss:0.528043
[236] train-mlogloss:0.329481 eval-mlogloss:0.527456
[237] train-mlogloss:0.328659 eval-mlogloss:0.526860
[238] train-mlogloss:0.327794 eval-mlogloss:0.526222
[239] train-mlogloss:0.326711 eval-mlogloss:0.525515
[240] train-mlogloss:0.325943 eval-mlogloss:0.524958
[241] train-mlogloss:0.325081 eval-mlogloss:0.524387
[242] train-mlogloss:0.324290 eval-mlogloss:0.523895
[243] train-mlogloss:0.323561 eval-mlogloss:0.523378
[244] train-mlogloss:0.322900 eval-mlogloss:0.522880
[245] train-mlogloss:0.321960 eval-mlogloss:0.522349
[246] train-mlogloss:0.321231 eval-mlogloss:0.521840
[247] train-mlogloss:0.320331 eval-mlogloss:0.521213
[248] train-mlogloss:0.319503 eval-mlogloss:0.520650
[249] train-mlogloss:0.318699 eval-mlogloss:0.520107
[250] train-mlogloss:0.317924 eval-mlogloss:0.519558
[251] train-mlogloss:0.317156 eval-mlogloss:0.519050
[252] train-mlogloss:0.316399 eval-mlogloss:0.518556
[253] train-mlogloss:0.315531 eval-mlogloss:0.518022
[254] train-mlogloss:0.314553 eval-mlogloss:0.517465
[255] train-mlogloss:0.313738 eval-mlogloss:0.516960
[256] train-mlogloss:0.312987 eval-mlogloss:0.516491
[257] train-mlogloss:0.312163 eval-mlogloss:0.515910
[258] train-mlogloss:0.311294 eval-mlogloss:0.515441
[259] train-mlogloss:0.310596 eval-mlogloss:0.514983
[260] train-mlogloss:0.309814 eval-mlogloss:0.514488
[261] train-mlogloss:0.309109 eval-mlogloss:0.513947
[262] train-mlogloss:0.308368 eval-mlogloss:0.513515
[263] train-mlogloss:0.307665 eval-mlogloss:0.513115
[264] train-mlogloss:0.307049 eval-mlogloss:0.512705
[265] train-mlogloss:0.306362 eval-mlogloss:0.512236
[266] train-mlogloss:0.305761 eval-mlogloss:0.511829
[267] train-mlogloss:0.305167 eval-mlogloss:0.511426
[268] train-mlogloss:0.304539 eval-mlogloss:0.511011
[269] train-mlogloss:0.303882 eval-mlogloss:0.510595
[270] train-mlogloss:0.303112 eval-mlogloss:0.510180
[271] train-mlogloss:0.302369 eval-mlogloss:0.509702
[272] train-mlogloss:0.301693 eval-mlogloss:0.509245
[273] train-mlogloss:0.300894 eval-mlogloss:0.508819
[274] train-mlogloss:0.300208 eval-mlogloss:0.508412
[275] train-mlogloss:0.299609 eval-mlogloss:0.508007
[276] train-mlogloss:0.298999 eval-mlogloss:0.507662
[277] train-mlogloss:0.298433 eval-mlogloss:0.507240
[278] train-mlogloss:0.297827 eval-mlogloss:0.506830
[279] train-mlogloss:0.297307 eval-mlogloss:0.506417
[280] train-mlogloss:0.296725 eval-mlogloss:0.506075
[281] train-mlogloss:0.296062 eval-mlogloss:0.505664
[282] train-mlogloss:0.295418 eval-mlogloss:0.505252
[283] train-mlogloss:0.294738 eval-mlogloss:0.504838
[284] train-mlogloss:0.294207 eval-mlogloss:0.504538
[285] train-mlogloss:0.293616 eval-mlogloss:0.504171
[286] train-mlogloss:0.292936 eval-mlogloss:0.503789
[287] train-mlogloss:0.292275 eval-mlogloss:0.503435
[288] train-mlogloss:0.291825 eval-mlogloss:0.503130
[289] train-mlogloss:0.291290 eval-mlogloss:0.502799
[290] train-mlogloss:0.290565 eval-mlogloss:0.502376
[291] train-mlogloss:0.289891 eval-mlogloss:0.502018
[292] train-mlogloss:0.289152 eval-mlogloss:0.501639
[293] train-mlogloss:0.288710 eval-mlogloss:0.501283
[294] train-mlogloss:0.288118 eval-mlogloss:0.500855
[295] train-mlogloss:0.287552 eval-mlogloss:0.500540
[296] train-mlogloss:0.286982 eval-mlogloss:0.500227
[297] train-mlogloss:0.286367 eval-mlogloss:0.499884
[298] train-mlogloss:0.285865 eval-mlogloss:0.499538
[299] train-mlogloss:0.285333 eval-mlogloss:0.499199
[300] train-mlogloss:0.284789 eval-mlogloss:0.498850
[301] train-mlogloss:0.284296 eval-mlogloss:0.498529
[302] train-mlogloss:0.283721 eval-mlogloss:0.498175
[303] train-mlogloss:0.283123 eval-mlogloss:0.497822
[304] train-mlogloss:0.282635 eval-mlogloss:0.497570
[305] train-mlogloss:0.282169 eval-mlogloss:0.497257
[306] train-mlogloss:0.281744 eval-mlogloss:0.496976
[307] train-mlogloss:0.281134 eval-mlogloss:0.496660
[308] train-mlogloss:0.280494 eval-mlogloss:0.496305
[309] train-mlogloss:0.280109 eval-mlogloss:0.496072
[310] train-mlogloss:0.279538 eval-mlogloss:0.495763
[311] train-mlogloss:0.278920 eval-mlogloss:0.495495
[312] train-mlogloss:0.278395 eval-mlogloss:0.495224
[313] train-mlogloss:0.277804 eval-mlogloss:0.494926
[314] train-mlogloss:0.277293 eval-mlogloss:0.494622
[315] train-mlogloss:0.276783 eval-mlogloss:0.494362
[316] train-mlogloss:0.276332 eval-mlogloss:0.494059
[317] train-mlogloss:0.275850 eval-mlogloss:0.493800
[318] train-mlogloss:0.275306 eval-mlogloss:0.493532
[319] train-mlogloss:0.274757 eval-mlogloss:0.493287
[320] train-mlogloss:0.274317 eval-mlogloss:0.493038
[321] train-mlogloss:0.273784 eval-mlogloss:0.492791
[322] train-mlogloss:0.273334 eval-mlogloss:0.492528
[323] train-mlogloss:0.272829 eval-mlogloss:0.492238
[324] train-mlogloss:0.272302 eval-mlogloss:0.491973
[325] train-mlogloss:0.271813 eval-mlogloss:0.491720
[326] train-mlogloss:0.271155 eval-mlogloss:0.491383
[327] train-mlogloss:0.270645 eval-mlogloss:0.491132
[328] train-mlogloss:0.270234 eval-mlogloss:0.490898
[329] train-mlogloss:0.269678 eval-mlogloss:0.490575
[330] train-mlogloss:0.269203 eval-mlogloss:0.490323
[331] train-mlogloss:0.268729 eval-mlogloss:0.490062
[332] train-mlogloss:0.268240 eval-mlogloss:0.489740
[333] train-mlogloss:0.267667 eval-mlogloss:0.489479
[334] train-mlogloss:0.267269 eval-mlogloss:0.489259
[335] train-mlogloss:0.266854 eval-mlogloss:0.489065
[336] train-mlogloss:0.266247 eval-mlogloss:0.488747
[337] train-mlogloss:0.265781 eval-mlogloss:0.488467
[338] train-mlogloss:0.265397 eval-mlogloss:0.488247
[339] train-mlogloss:0.264860 eval-mlogloss:0.488038
[340] train-mlogloss:0.264472 eval-mlogloss:0.487820
[341] train-mlogloss:0.263982 eval-mlogloss:0.487563
[342] train-mlogloss:0.263470 eval-mlogloss:0.487291
[343] train-mlogloss:0.262963 eval-mlogloss:0.487095
[344] train-mlogloss:0.262536 eval-mlogloss:0.486832
[345] train-mlogloss:0.262029 eval-mlogloss:0.486577
[346] train-mlogloss:0.261572 eval-mlogloss:0.486322
[347] train-mlogloss:0.261114 eval-mlogloss:0.486097
[348] train-mlogloss:0.260701 eval-mlogloss:0.485828
[349] train-mlogloss:0.260201 eval-mlogloss:0.485612
[350] train-mlogloss:0.259795 eval-mlogloss:0.485413
[351] train-mlogloss:0.259458 eval-mlogloss:0.485243
[352] train-mlogloss:0.259039 eval-mlogloss:0.485005
[353] train-mlogloss:0.258529 eval-mlogloss:0.484692
[354] train-mlogloss:0.258130 eval-mlogloss:0.484524
[355] train-mlogloss:0.257677 eval-mlogloss:0.484284
[356] train-mlogloss:0.257310 eval-mlogloss:0.484102
[357] train-mlogloss:0.256814 eval-mlogloss:0.483864
[358] train-mlogloss:0.256406 eval-mlogloss:0.483630
[359] train-mlogloss:0.255968 eval-mlogloss:0.483389
[360] train-mlogloss:0.255628 eval-mlogloss:0.483131
[361] train-mlogloss:0.255228 eval-mlogloss:0.482905
[362] train-mlogloss:0.254795 eval-mlogloss:0.482675
[363] train-mlogloss:0.254468 eval-mlogloss:0.482514
[364] train-mlogloss:0.254128 eval-mlogloss:0.482330
[365] train-mlogloss:0.253789 eval-mlogloss:0.482080
[366] train-mlogloss:0.253459 eval-mlogloss:0.481883
[367] train-mlogloss:0.253166 eval-mlogloss:0.481698
[368] train-mlogloss:0.252842 eval-mlogloss:0.481552
[369] train-mlogloss:0.252527 eval-mlogloss:0.481336
[370] train-mlogloss:0.252193 eval-mlogloss:0.481180
[371] train-mlogloss:0.251868 eval-mlogloss:0.480993
[372] train-mlogloss:0.251399 eval-mlogloss:0.480701
[373] train-mlogloss:0.251051 eval-mlogloss:0.480497
[374] train-mlogloss:0.250674 eval-mlogloss:0.480336
[375] train-mlogloss:0.250285 eval-mlogloss:0.480143
[376] train-mlogloss:0.249974 eval-mlogloss:0.479974
[377] train-mlogloss:0.249642 eval-mlogloss:0.479817
[378] train-mlogloss:0.249276 eval-mlogloss:0.479633
[379] train-mlogloss:0.248942 eval-mlogloss:0.479449
[380] train-mlogloss:0.248647 eval-mlogloss:0.479293
[381] train-mlogloss:0.248240 eval-mlogloss:0.479067
[382] train-mlogloss:0.247916 eval-mlogloss:0.478925
[383] train-mlogloss:0.247424 eval-mlogloss:0.478719
[384] train-mlogloss:0.246984 eval-mlogloss:0.478511
[385] train-mlogloss:0.246642 eval-mlogloss:0.478337
[386] train-mlogloss:0.246251 eval-mlogloss:0.478209
[387] train-mlogloss:0.245952 eval-mlogloss:0.478053
[388] train-mlogloss:0.245571 eval-mlogloss:0.477919
[389] train-mlogloss:0.245274 eval-mlogloss:0.477755
[390] train-mlogloss:0.244966 eval-mlogloss:0.477617
[391] train-mlogloss:0.244478 eval-mlogloss:0.477488
[392] train-mlogloss:0.244109 eval-mlogloss:0.477265
[393] train-mlogloss:0.243764 eval-mlogloss:0.477136
[394] train-mlogloss:0.243440 eval-mlogloss:0.476956
[395] train-mlogloss:0.243152 eval-mlogloss:0.476795
[396] train-mlogloss:0.242896 eval-mlogloss:0.476651
[397] train-mlogloss:0.242679 eval-mlogloss:0.476504
[398] train-mlogloss:0.242369 eval-mlogloss:0.476320
[399] train-mlogloss:0.242045 eval-mlogloss:0.476181
[400] train-mlogloss:0.241726 eval-mlogloss:0.475993
[401] train-mlogloss:0.241397 eval-mlogloss:0.475825
[402] train-mlogloss:0.240990 eval-mlogloss:0.475675
[403] train-mlogloss:0.240535 eval-mlogloss:0.475548
[404] train-mlogloss:0.240198 eval-mlogloss:0.475396
[405] train-mlogloss:0.239838 eval-mlogloss:0.475208
[406] train-mlogloss:0.239541 eval-mlogloss:0.475091
[407] train-mlogloss:0.239132 eval-mlogloss:0.474988
[408] train-mlogloss:0.238894 eval-mlogloss:0.474874
[409] train-mlogloss:0.238484 eval-mlogloss:0.474696
[410] train-mlogloss:0.238115 eval-mlogloss:0.474536
[411] train-mlogloss:0.237818 eval-mlogloss:0.474347
[412] train-mlogloss:0.237471 eval-mlogloss:0.474213
[413] train-mlogloss:0.237148 eval-mlogloss:0.474074
[414] train-mlogloss:0.236851 eval-mlogloss:0.473933
[415] train-mlogloss:0.236473 eval-mlogloss:0.473751
[416] train-mlogloss:0.236123 eval-mlogloss:0.473585
[417] train-mlogloss:0.235833 eval-mlogloss:0.473462
[418] train-mlogloss:0.235519 eval-mlogloss:0.473362
[419] train-mlogloss:0.235250 eval-mlogloss:0.473251
[420] train-mlogloss:0.234944 eval-mlogloss:0.473122
[421] train-mlogloss:0.234609 eval-mlogloss:0.472979
[422] train-mlogloss:0.234320 eval-mlogloss:0.472852
[423] train-mlogloss:0.233981 eval-mlogloss:0.472720
[424] train-mlogloss:0.233622 eval-mlogloss:0.472560
[425] train-mlogloss:0.233303 eval-mlogloss:0.472393
[426] train-mlogloss:0.233004 eval-mlogloss:0.472292
[427] train-mlogloss:0.232665 eval-mlogloss:0.472133
[428] train-mlogloss:0.232448 eval-mlogloss:0.472000
[429] train-mlogloss:0.232114 eval-mlogloss:0.471818
[430] train-mlogloss:0.231784 eval-mlogloss:0.471691
[431] train-mlogloss:0.231432 eval-mlogloss:0.471517
[432] train-mlogloss:0.231076 eval-mlogloss:0.471388
[433] train-mlogloss:0.230829 eval-mlogloss:0.471258
[434] train-mlogloss:0.230579 eval-mlogloss:0.471131
[435] train-mlogloss:0.230302 eval-mlogloss:0.470995
[436] train-mlogloss:0.230000 eval-mlogloss:0.470873
[437] train-mlogloss:0.229745 eval-mlogloss:0.470755
[438] train-mlogloss:0.229420 eval-mlogloss:0.470628
[439] train-mlogloss:0.229152 eval-mlogloss:0.470486
[440] train-mlogloss:0.228794 eval-mlogloss:0.470402
[441] train-mlogloss:0.228514 eval-mlogloss:0.470271
[442] train-mlogloss:0.228327 eval-mlogloss:0.470191
[443] train-mlogloss:0.228058 eval-mlogloss:0.470067
[444] train-mlogloss:0.227726 eval-mlogloss:0.469931
[445] train-mlogloss:0.227427 eval-mlogloss:0.469836
[446] train-mlogloss:0.227164 eval-mlogloss:0.469720
[447] train-mlogloss:0.226859 eval-mlogloss:0.469579
[448] train-mlogloss:0.226590 eval-mlogloss:0.469485
[449] train-mlogloss:0.226332 eval-mlogloss:0.469359
[450] train-mlogloss:0.226001 eval-mlogloss:0.469212
[451] train-mlogloss:0.225664 eval-mlogloss:0.469052
[452] train-mlogloss:0.225401 eval-mlogloss:0.468921
[453] train-mlogloss:0.225110 eval-mlogloss:0.468792
[454] train-mlogloss:0.224801 eval-mlogloss:0.468617
[455] train-mlogloss:0.224500 eval-mlogloss:0.468516
[456] train-mlogloss:0.224291 eval-mlogloss:0.468406
[457] train-mlogloss:0.223963 eval-mlogloss:0.468286
[458] train-mlogloss:0.223700 eval-mlogloss:0.468192
[459] train-mlogloss:0.223381 eval-mlogloss:0.468063
[460] train-mlogloss:0.223020 eval-mlogloss:0.467958
[461] train-mlogloss:0.222737 eval-mlogloss:0.467840
[462] train-mlogloss:0.222519 eval-mlogloss:0.467742
[463] train-mlogloss:0.222145 eval-mlogloss:0.467644
[464] train-mlogloss:0.221937 eval-mlogloss:0.467574
[465] train-mlogloss:0.221616 eval-mlogloss:0.467487
[466] train-mlogloss:0.221310 eval-mlogloss:0.467409
[467] train-mlogloss:0.221077 eval-mlogloss:0.467315
[468] train-mlogloss:0.220801 eval-mlogloss:0.467189
[469] train-mlogloss:0.220595 eval-mlogloss:0.467123
[470] train-mlogloss:0.220310 eval-mlogloss:0.467003
[471] train-mlogloss:0.220015 eval-mlogloss:0.466908
[472] train-mlogloss:0.219724 eval-mlogloss:0.466784
[473] train-mlogloss:0.219513 eval-mlogloss:0.466712
[474] train-mlogloss:0.219257 eval-mlogloss:0.466630
[475] train-mlogloss:0.219012 eval-mlogloss:0.466531
[476] train-mlogloss:0.218744 eval-mlogloss:0.466406
[477] train-mlogloss:0.218431 eval-mlogloss:0.466322
[478] train-mlogloss:0.218118 eval-mlogloss:0.466222
[479] train-mlogloss:0.217847 eval-mlogloss:0.466137
[480] train-mlogloss:0.217598 eval-mlogloss:0.466050
[481] train-mlogloss:0.217347 eval-mlogloss:0.465966
[482] train-mlogloss:0.216989 eval-mlogloss:0.465854
[483] train-mlogloss:0.216633 eval-mlogloss:0.465726
[484] train-mlogloss:0.216426 eval-mlogloss:0.465648
[485] train-mlogloss:0.216196 eval-mlogloss:0.465558
[486] train-mlogloss:0.215921 eval-mlogloss:0.465446
[487] train-mlogloss:0.215549 eval-mlogloss:0.465332
[488] train-mlogloss:0.215258 eval-mlogloss:0.465213
[489] train-mlogloss:0.215023 eval-mlogloss:0.465107
[490] train-mlogloss:0.214807 eval-mlogloss:0.465034
[491] train-mlogloss:0.214627 eval-mlogloss:0.464936
[492] train-mlogloss:0.214366 eval-mlogloss:0.464880
[493] train-mlogloss:0.214098 eval-mlogloss:0.464745
[494] train-mlogloss:0.213809 eval-mlogloss:0.464684
[495] train-mlogloss:0.213567 eval-mlogloss:0.464591
[496] train-mlogloss:0.213330 eval-mlogloss:0.464540
[497] train-mlogloss:0.213057 eval-mlogloss:0.464464
[498] train-mlogloss:0.212874 eval-mlogloss:0.464382
Training with params :
{'eta': 0.025, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.7000000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.4643033114739448
[499] train-mlogloss:0.212682 eval-mlogloss:0.464303
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.023172 eval-mlogloss:2.027807
[1] train-mlogloss:1.891216 eval-mlogloss:1.899881
[2] train-mlogloss:1.779606 eval-mlogloss:1.792050
[3] train-mlogloss:1.684414 eval-mlogloss:1.699938
[4] train-mlogloss:1.601016 eval-mlogloss:1.619198
[5] train-mlogloss:1.532097 eval-mlogloss:1.552886
[6] train-mlogloss:1.459915 eval-mlogloss:1.483979
[7] train-mlogloss:1.399919 eval-mlogloss:1.426693
[8] train-mlogloss:1.343652 eval-mlogloss:1.372849
[9] train-mlogloss:1.290826 eval-mlogloss:1.322610
[10] train-mlogloss:1.244282 eval-mlogloss:1.278575
[11] train-mlogloss:1.197314 eval-mlogloss:1.234288
[12] train-mlogloss:1.158645 eval-mlogloss:1.198205
[13] train-mlogloss:1.120016 eval-mlogloss:1.161536
[14] train-mlogloss:1.085070 eval-mlogloss:1.128675
[15] train-mlogloss:1.053106 eval-mlogloss:1.098495
[16] train-mlogloss:1.021730 eval-mlogloss:1.068827
[17] train-mlogloss:0.992726 eval-mlogloss:1.041668
[18] train-mlogloss:0.963630 eval-mlogloss:1.014508
[19] train-mlogloss:0.939065 eval-mlogloss:0.991779
[20] train-mlogloss:0.915423 eval-mlogloss:0.969964
[21] train-mlogloss:0.891323 eval-mlogloss:0.947554
[22] train-mlogloss:0.870207 eval-mlogloss:0.928177
[23] train-mlogloss:0.849888 eval-mlogloss:0.909230
[24] train-mlogloss:0.831059 eval-mlogloss:0.891880
[25] train-mlogloss:0.812147 eval-mlogloss:0.874506
[26] train-mlogloss:0.793685 eval-mlogloss:0.857517
[27] train-mlogloss:0.776544 eval-mlogloss:0.841862
[28] train-mlogloss:0.759648 eval-mlogloss:0.826735
[29] train-mlogloss:0.745541 eval-mlogloss:0.814125
[30] train-mlogloss:0.732170 eval-mlogloss:0.801969
[31] train-mlogloss:0.718915 eval-mlogloss:0.790021
[32] train-mlogloss:0.705881 eval-mlogloss:0.778316
[33] train-mlogloss:0.693910 eval-mlogloss:0.767734
[34] train-mlogloss:0.682282 eval-mlogloss:0.757231
[35] train-mlogloss:0.670560 eval-mlogloss:0.746891
[36] train-mlogloss:0.660377 eval-mlogloss:0.738013
[37] train-mlogloss:0.650165 eval-mlogloss:0.729056
[38] train-mlogloss:0.641021 eval-mlogloss:0.720990
[39] train-mlogloss:0.631682 eval-mlogloss:0.712604
[40] train-mlogloss:0.622358 eval-mlogloss:0.704453
[41] train-mlogloss:0.613594 eval-mlogloss:0.696852
[42] train-mlogloss:0.605193 eval-mlogloss:0.689585
[43] train-mlogloss:0.597492 eval-mlogloss:0.683135
[44] train-mlogloss:0.589909 eval-mlogloss:0.676700
[45] train-mlogloss:0.582897 eval-mlogloss:0.670666
[46] train-mlogloss:0.576627 eval-mlogloss:0.665328
[47] train-mlogloss:0.569495 eval-mlogloss:0.659463
[48] train-mlogloss:0.563127 eval-mlogloss:0.654058
[49] train-mlogloss:0.556413 eval-mlogloss:0.648496
[50] train-mlogloss:0.550107 eval-mlogloss:0.643502
[51] train-mlogloss:0.543989 eval-mlogloss:0.638559
[52] train-mlogloss:0.537515 eval-mlogloss:0.633360
[53] train-mlogloss:0.531920 eval-mlogloss:0.629144
[54] train-mlogloss:0.526579 eval-mlogloss:0.624763
[55] train-mlogloss:0.521489 eval-mlogloss:0.620554
[56] train-mlogloss:0.516845 eval-mlogloss:0.617218
[57] train-mlogloss:0.512198 eval-mlogloss:0.613506
[58] train-mlogloss:0.507720 eval-mlogloss:0.609918
[59] train-mlogloss:0.503411 eval-mlogloss:0.606700
[60] train-mlogloss:0.499042 eval-mlogloss:0.603105
[61] train-mlogloss:0.495163 eval-mlogloss:0.600039
[62] train-mlogloss:0.491287 eval-mlogloss:0.597225
[63] train-mlogloss:0.487066 eval-mlogloss:0.594299
[64] train-mlogloss:0.483636 eval-mlogloss:0.591725
[65] train-mlogloss:0.479917 eval-mlogloss:0.588855
[66] train-mlogloss:0.476108 eval-mlogloss:0.585981
[67] train-mlogloss:0.472273 eval-mlogloss:0.583004
[68] train-mlogloss:0.468855 eval-mlogloss:0.580406
[69] train-mlogloss:0.465478 eval-mlogloss:0.577870
[70] train-mlogloss:0.462268 eval-mlogloss:0.575403
[71] train-mlogloss:0.459214 eval-mlogloss:0.573064
[72] train-mlogloss:0.456043 eval-mlogloss:0.570705
[73] train-mlogloss:0.453159 eval-mlogloss:0.568549
[74] train-mlogloss:0.449977 eval-mlogloss:0.566173
[75] train-mlogloss:0.446925 eval-mlogloss:0.563958
[76] train-mlogloss:0.444134 eval-mlogloss:0.561931
[77] train-mlogloss:0.441554 eval-mlogloss:0.560039
[78] train-mlogloss:0.439412 eval-mlogloss:0.558401
[79] train-mlogloss:0.437228 eval-mlogloss:0.556844
[80] train-mlogloss:0.434669 eval-mlogloss:0.555036
[81] train-mlogloss:0.432230 eval-mlogloss:0.553429
[82] train-mlogloss:0.429523 eval-mlogloss:0.551599
[83] train-mlogloss:0.427105 eval-mlogloss:0.550058
[84] train-mlogloss:0.424854 eval-mlogloss:0.548497
[85] train-mlogloss:0.423132 eval-mlogloss:0.547236
[86] train-mlogloss:0.420907 eval-mlogloss:0.545807
[87] train-mlogloss:0.418506 eval-mlogloss:0.544322
[88] train-mlogloss:0.416388 eval-mlogloss:0.542921
[89] train-mlogloss:0.414429 eval-mlogloss:0.541629
[90] train-mlogloss:0.412667 eval-mlogloss:0.540307
[91] train-mlogloss:0.410205 eval-mlogloss:0.538777
[92] train-mlogloss:0.408081 eval-mlogloss:0.537404
[93] train-mlogloss:0.406242 eval-mlogloss:0.536139
[94] train-mlogloss:0.404060 eval-mlogloss:0.534754
[95] train-mlogloss:0.402600 eval-mlogloss:0.533713
[96] train-mlogloss:0.400371 eval-mlogloss:0.532322
[97] train-mlogloss:0.398394 eval-mlogloss:0.531050
[98] train-mlogloss:0.396813 eval-mlogloss:0.530044
[99] train-mlogloss:0.395515 eval-mlogloss:0.529245
[100] train-mlogloss:0.393588 eval-mlogloss:0.528198
[101] train-mlogloss:0.392071 eval-mlogloss:0.527031
[102] train-mlogloss:0.390580 eval-mlogloss:0.526004
[103] train-mlogloss:0.388892 eval-mlogloss:0.524990
[104] train-mlogloss:0.387169 eval-mlogloss:0.523887
[105] train-mlogloss:0.385832 eval-mlogloss:0.522959
[106] train-mlogloss:0.384448 eval-mlogloss:0.522243
[107] train-mlogloss:0.383140 eval-mlogloss:0.521403
[108] train-mlogloss:0.381488 eval-mlogloss:0.520480
[109] train-mlogloss:0.380066 eval-mlogloss:0.519630
[110] train-mlogloss:0.378634 eval-mlogloss:0.518678
[111] train-mlogloss:0.377243 eval-mlogloss:0.517865
[112] train-mlogloss:0.375549 eval-mlogloss:0.516871
[113] train-mlogloss:0.374401 eval-mlogloss:0.516047
[114] train-mlogloss:0.373295 eval-mlogloss:0.515413
[115] train-mlogloss:0.371942 eval-mlogloss:0.514502
[116] train-mlogloss:0.370408 eval-mlogloss:0.513707
[117] train-mlogloss:0.369218 eval-mlogloss:0.512878
[118] train-mlogloss:0.368143 eval-mlogloss:0.512152
[119] train-mlogloss:0.366906 eval-mlogloss:0.511464
[120] train-mlogloss:0.365994 eval-mlogloss:0.510860
[121] train-mlogloss:0.364773 eval-mlogloss:0.510251
[122] train-mlogloss:0.363522 eval-mlogloss:0.509609
[123] train-mlogloss:0.362344 eval-mlogloss:0.508877
[124] train-mlogloss:0.361515 eval-mlogloss:0.508419
[125] train-mlogloss:0.360283 eval-mlogloss:0.507662
[126] train-mlogloss:0.359006 eval-mlogloss:0.507081
[127] train-mlogloss:0.357995 eval-mlogloss:0.506493
[128] train-mlogloss:0.356893 eval-mlogloss:0.505918
[129] train-mlogloss:0.355747 eval-mlogloss:0.505319
[130] train-mlogloss:0.354458 eval-mlogloss:0.504648
[131] train-mlogloss:0.353327 eval-mlogloss:0.504102
[132] train-mlogloss:0.352088 eval-mlogloss:0.503367
[133] train-mlogloss:0.351048 eval-mlogloss:0.502828
[134] train-mlogloss:0.349900 eval-mlogloss:0.502178
[135] train-mlogloss:0.348358 eval-mlogloss:0.501490
[136] train-mlogloss:0.346893 eval-mlogloss:0.500739
[137] train-mlogloss:0.345764 eval-mlogloss:0.500155
[138] train-mlogloss:0.344844 eval-mlogloss:0.499543
[139] train-mlogloss:0.343576 eval-mlogloss:0.499058
[140] train-mlogloss:0.342513 eval-mlogloss:0.498468
[141] train-mlogloss:0.341517 eval-mlogloss:0.497979
[142] train-mlogloss:0.340265 eval-mlogloss:0.497418
[143] train-mlogloss:0.339200 eval-mlogloss:0.497037
[144] train-mlogloss:0.338213 eval-mlogloss:0.496603
[145] train-mlogloss:0.337133 eval-mlogloss:0.496105
[146] train-mlogloss:0.336043 eval-mlogloss:0.495534
[147] train-mlogloss:0.334780 eval-mlogloss:0.495047
[148] train-mlogloss:0.333595 eval-mlogloss:0.494537
[149] train-mlogloss:0.332861 eval-mlogloss:0.494167
[150] train-mlogloss:0.331888 eval-mlogloss:0.493695
[151] train-mlogloss:0.331254 eval-mlogloss:0.493336
[152] train-mlogloss:0.329940 eval-mlogloss:0.492943
[153] train-mlogloss:0.329210 eval-mlogloss:0.492650
[154] train-mlogloss:0.328269 eval-mlogloss:0.492202
[155] train-mlogloss:0.327408 eval-mlogloss:0.491777
[156] train-mlogloss:0.326561 eval-mlogloss:0.491341
[157] train-mlogloss:0.325867 eval-mlogloss:0.491087
[158] train-mlogloss:0.324946 eval-mlogloss:0.490737
[159] train-mlogloss:0.324023 eval-mlogloss:0.490344
[160] train-mlogloss:0.323341 eval-mlogloss:0.490025
[161] train-mlogloss:0.322616 eval-mlogloss:0.489684
[162] train-mlogloss:0.321495 eval-mlogloss:0.489290
[163] train-mlogloss:0.320580 eval-mlogloss:0.488978
[164] train-mlogloss:0.319489 eval-mlogloss:0.488471
[165] train-mlogloss:0.318585 eval-mlogloss:0.488122
[166] train-mlogloss:0.317724 eval-mlogloss:0.487785
[167] train-mlogloss:0.316451 eval-mlogloss:0.487215
[168] train-mlogloss:0.315700 eval-mlogloss:0.486911
[169] train-mlogloss:0.314833 eval-mlogloss:0.486475
[170] train-mlogloss:0.313934 eval-mlogloss:0.486109
[171] train-mlogloss:0.313333 eval-mlogloss:0.485787
[172] train-mlogloss:0.312473 eval-mlogloss:0.485375
[173] train-mlogloss:0.311543 eval-mlogloss:0.485037
[174] train-mlogloss:0.310854 eval-mlogloss:0.484801
[175] train-mlogloss:0.310086 eval-mlogloss:0.484552
[176] train-mlogloss:0.309213 eval-mlogloss:0.484187
[177] train-mlogloss:0.308385 eval-mlogloss:0.483975
[178] train-mlogloss:0.307789 eval-mlogloss:0.483731
[179] train-mlogloss:0.306999 eval-mlogloss:0.483473
[180] train-mlogloss:0.305738 eval-mlogloss:0.483006
[181] train-mlogloss:0.305218 eval-mlogloss:0.482718
[182] train-mlogloss:0.304315 eval-mlogloss:0.482385
[183] train-mlogloss:0.303703 eval-mlogloss:0.482150
[184] train-mlogloss:0.303126 eval-mlogloss:0.481916
[185] train-mlogloss:0.302069 eval-mlogloss:0.481474
[186] train-mlogloss:0.301095 eval-mlogloss:0.481104
[187] train-mlogloss:0.300581 eval-mlogloss:0.480933
[188] train-mlogloss:0.299854 eval-mlogloss:0.480679
[189] train-mlogloss:0.299292 eval-mlogloss:0.480397
[190] train-mlogloss:0.298196 eval-mlogloss:0.480032
[191] train-mlogloss:0.297446 eval-mlogloss:0.479672
[192] train-mlogloss:0.296900 eval-mlogloss:0.479505
[193] train-mlogloss:0.296197 eval-mlogloss:0.479295
[194] train-mlogloss:0.295317 eval-mlogloss:0.478915
[195] train-mlogloss:0.294636 eval-mlogloss:0.478739
[196] train-mlogloss:0.293861 eval-mlogloss:0.478485
[197] train-mlogloss:0.293072 eval-mlogloss:0.478196
[198] train-mlogloss:0.292024 eval-mlogloss:0.477805
[199] train-mlogloss:0.290978 eval-mlogloss:0.477461
[200] train-mlogloss:0.290255 eval-mlogloss:0.477114
[201] train-mlogloss:0.289713 eval-mlogloss:0.476849
[202] train-mlogloss:0.289229 eval-mlogloss:0.476763
[203] train-mlogloss:0.288723 eval-mlogloss:0.476555
[204] train-mlogloss:0.287849 eval-mlogloss:0.476303
[205] train-mlogloss:0.287192 eval-mlogloss:0.475995
[206] train-mlogloss:0.286497 eval-mlogloss:0.475742
[207] train-mlogloss:0.285803 eval-mlogloss:0.475553
[208] train-mlogloss:0.284910 eval-mlogloss:0.475335
[209] train-mlogloss:0.284359 eval-mlogloss:0.475132
[210] train-mlogloss:0.283665 eval-mlogloss:0.474798
[211] train-mlogloss:0.282935 eval-mlogloss:0.474556
[212] train-mlogloss:0.282338 eval-mlogloss:0.474379
[213] train-mlogloss:0.281666 eval-mlogloss:0.474135
[214] train-mlogloss:0.281212 eval-mlogloss:0.473948
[215] train-mlogloss:0.280206 eval-mlogloss:0.473638
[216] train-mlogloss:0.279573 eval-mlogloss:0.473382
[217] train-mlogloss:0.278869 eval-mlogloss:0.473094
[218] train-mlogloss:0.278051 eval-mlogloss:0.472845
[219] train-mlogloss:0.277569 eval-mlogloss:0.472713
[220] train-mlogloss:0.276832 eval-mlogloss:0.472526
[221] train-mlogloss:0.276278 eval-mlogloss:0.472359
[222] train-mlogloss:0.275649 eval-mlogloss:0.472202
[223] train-mlogloss:0.274933 eval-mlogloss:0.471994
[224] train-mlogloss:0.274588 eval-mlogloss:0.471939
[225] train-mlogloss:0.274143 eval-mlogloss:0.471817
[226] train-mlogloss:0.273681 eval-mlogloss:0.471593
[227] train-mlogloss:0.272857 eval-mlogloss:0.471261
[228] train-mlogloss:0.272205 eval-mlogloss:0.471129
[229] train-mlogloss:0.271275 eval-mlogloss:0.470903
[230] train-mlogloss:0.270690 eval-mlogloss:0.470709
[231] train-mlogloss:0.270123 eval-mlogloss:0.470505
[232] train-mlogloss:0.269377 eval-mlogloss:0.470161
[233] train-mlogloss:0.268886 eval-mlogloss:0.470011
[234] train-mlogloss:0.268292 eval-mlogloss:0.469734
[235] train-mlogloss:0.267628 eval-mlogloss:0.469582
[236] train-mlogloss:0.267170 eval-mlogloss:0.469431
[237] train-mlogloss:0.266654 eval-mlogloss:0.469180
[238] train-mlogloss:0.266038 eval-mlogloss:0.468963
[239] train-mlogloss:0.265452 eval-mlogloss:0.468698
[240] train-mlogloss:0.264855 eval-mlogloss:0.468591
[241] train-mlogloss:0.264136 eval-mlogloss:0.468314
[242] train-mlogloss:0.263579 eval-mlogloss:0.468151
[243] train-mlogloss:0.263021 eval-mlogloss:0.468024
[244] train-mlogloss:0.262617 eval-mlogloss:0.467874
[245] train-mlogloss:0.262091 eval-mlogloss:0.467802
[246] train-mlogloss:0.261564 eval-mlogloss:0.467631
[247] train-mlogloss:0.260970 eval-mlogloss:0.467438
[248] train-mlogloss:0.260391 eval-mlogloss:0.467307
[249] train-mlogloss:0.259711 eval-mlogloss:0.466970
[250] train-mlogloss:0.259339 eval-mlogloss:0.466713
[251] train-mlogloss:0.258942 eval-mlogloss:0.466572
[252] train-mlogloss:0.258595 eval-mlogloss:0.466519
[253] train-mlogloss:0.258158 eval-mlogloss:0.466424
[254] train-mlogloss:0.257695 eval-mlogloss:0.466333
[255] train-mlogloss:0.257156 eval-mlogloss:0.466259
[256] train-mlogloss:0.256416 eval-mlogloss:0.466186
[257] train-mlogloss:0.255914 eval-mlogloss:0.466000
[258] train-mlogloss:0.255536 eval-mlogloss:0.465885
[259] train-mlogloss:0.255164 eval-mlogloss:0.465781
[260] train-mlogloss:0.254436 eval-mlogloss:0.465543
[261] train-mlogloss:0.253801 eval-mlogloss:0.465375
[262] train-mlogloss:0.253225 eval-mlogloss:0.465255
[263] train-mlogloss:0.252686 eval-mlogloss:0.465063
[264] train-mlogloss:0.252081 eval-mlogloss:0.464857
[265] train-mlogloss:0.251496 eval-mlogloss:0.464655
[266] train-mlogloss:0.250818 eval-mlogloss:0.464383
[267] train-mlogloss:0.250078 eval-mlogloss:0.464163
[268] train-mlogloss:0.249661 eval-mlogloss:0.463999
[269] train-mlogloss:0.249327 eval-mlogloss:0.463892
[270] train-mlogloss:0.248932 eval-mlogloss:0.463828
[271] train-mlogloss:0.248357 eval-mlogloss:0.463763
[272] train-mlogloss:0.248000 eval-mlogloss:0.463705
[273] train-mlogloss:0.247415 eval-mlogloss:0.463578
[274] train-mlogloss:0.247025 eval-mlogloss:0.463493
[275] train-mlogloss:0.246680 eval-mlogloss:0.463407
[276] train-mlogloss:0.246163 eval-mlogloss:0.463211
[277] train-mlogloss:0.245684 eval-mlogloss:0.463124
[278] train-mlogloss:0.245130 eval-mlogloss:0.463001
[279] train-mlogloss:0.244649 eval-mlogloss:0.462891
[280] train-mlogloss:0.244056 eval-mlogloss:0.462700
[281] train-mlogloss:0.243505 eval-mlogloss:0.462548
[282] train-mlogloss:0.243210 eval-mlogloss:0.462426
[283] train-mlogloss:0.242843 eval-mlogloss:0.462285
[284] train-mlogloss:0.242277 eval-mlogloss:0.462226
[285] train-mlogloss:0.241865 eval-mlogloss:0.462137
[286] train-mlogloss:0.241351 eval-mlogloss:0.461927
[287] train-mlogloss:0.240819 eval-mlogloss:0.461783
[288] train-mlogloss:0.240203 eval-mlogloss:0.461710
[289] train-mlogloss:0.239882 eval-mlogloss:0.461651
[290] train-mlogloss:0.239435 eval-mlogloss:0.461618
[291] train-mlogloss:0.239066 eval-mlogloss:0.461486
[292] train-mlogloss:0.238498 eval-mlogloss:0.461414
[293] train-mlogloss:0.238101 eval-mlogloss:0.461329
[294] train-mlogloss:0.237643 eval-mlogloss:0.461277
[295] train-mlogloss:0.237312 eval-mlogloss:0.461191
[296] train-mlogloss:0.236907 eval-mlogloss:0.461196
[297] train-mlogloss:0.236504 eval-mlogloss:0.461099
[298] train-mlogloss:0.236003 eval-mlogloss:0.460987
[299] train-mlogloss:0.235584 eval-mlogloss:0.460897
[300] train-mlogloss:0.235160 eval-mlogloss:0.460768
[301] train-mlogloss:0.234775 eval-mlogloss:0.460830
[302] train-mlogloss:0.234263 eval-mlogloss:0.460712
[303] train-mlogloss:0.233601 eval-mlogloss:0.460491
[304] train-mlogloss:0.232966 eval-mlogloss:0.460452
[305] train-mlogloss:0.232466 eval-mlogloss:0.460384
[306] train-mlogloss:0.232124 eval-mlogloss:0.460306
[307] train-mlogloss:0.231659 eval-mlogloss:0.460184
[308] train-mlogloss:0.231173 eval-mlogloss:0.460090
[309] train-mlogloss:0.230841 eval-mlogloss:0.460007
[310] train-mlogloss:0.230197 eval-mlogloss:0.459971
[311] train-mlogloss:0.229801 eval-mlogloss:0.459840
[312] train-mlogloss:0.229567 eval-mlogloss:0.459754
[313] train-mlogloss:0.229181 eval-mlogloss:0.459681
[314] train-mlogloss:0.228882 eval-mlogloss:0.459611
[315] train-mlogloss:0.228504 eval-mlogloss:0.459570
[316] train-mlogloss:0.228167 eval-mlogloss:0.459447
[317] train-mlogloss:0.227889 eval-mlogloss:0.459348
[318] train-mlogloss:0.227485 eval-mlogloss:0.459261
[319] train-mlogloss:0.227110 eval-mlogloss:0.459168
[320] train-mlogloss:0.226672 eval-mlogloss:0.459037
[321] train-mlogloss:0.226158 eval-mlogloss:0.458919
[322] train-mlogloss:0.225725 eval-mlogloss:0.458856
[323] train-mlogloss:0.225360 eval-mlogloss:0.458776
[324] train-mlogloss:0.224865 eval-mlogloss:0.458773
[325] train-mlogloss:0.224461 eval-mlogloss:0.458670
[326] train-mlogloss:0.224014 eval-mlogloss:0.458579
[327] train-mlogloss:0.223826 eval-mlogloss:0.458542
[328] train-mlogloss:0.223445 eval-mlogloss:0.458456
[329] train-mlogloss:0.223086 eval-mlogloss:0.458406
[330] train-mlogloss:0.222562 eval-mlogloss:0.458359
[331] train-mlogloss:0.222234 eval-mlogloss:0.458306
[332] train-mlogloss:0.221737 eval-mlogloss:0.458262
[333] train-mlogloss:0.221261 eval-mlogloss:0.458111
[334] train-mlogloss:0.220791 eval-mlogloss:0.458076
[335] train-mlogloss:0.220515 eval-mlogloss:0.457999
[336] train-mlogloss:0.220151 eval-mlogloss:0.457990
[337] train-mlogloss:0.219672 eval-mlogloss:0.457952
[338] train-mlogloss:0.219294 eval-mlogloss:0.457879
[339] train-mlogloss:0.219082 eval-mlogloss:0.457855
[340] train-mlogloss:0.218767 eval-mlogloss:0.457789
[341] train-mlogloss:0.218431 eval-mlogloss:0.457759
[342] train-mlogloss:0.217960 eval-mlogloss:0.457690
[343] train-mlogloss:0.217609 eval-mlogloss:0.457591
[344] train-mlogloss:0.217262 eval-mlogloss:0.457501
[345] train-mlogloss:0.216955 eval-mlogloss:0.457415
[346] train-mlogloss:0.216586 eval-mlogloss:0.457399
[347] train-mlogloss:0.216174 eval-mlogloss:0.457341
[348] train-mlogloss:0.215723 eval-mlogloss:0.457239
[349] train-mlogloss:0.215317 eval-mlogloss:0.457184
[350] train-mlogloss:0.215090 eval-mlogloss:0.457084
[351] train-mlogloss:0.214745 eval-mlogloss:0.457000
[352] train-mlogloss:0.214428 eval-mlogloss:0.457005
[353] train-mlogloss:0.214111 eval-mlogloss:0.456913
[354] train-mlogloss:0.213605 eval-mlogloss:0.456818
[355] train-mlogloss:0.213140 eval-mlogloss:0.456672
[356] train-mlogloss:0.212740 eval-mlogloss:0.456539
[357] train-mlogloss:0.212383 eval-mlogloss:0.456491
[358] train-mlogloss:0.212153 eval-mlogloss:0.456430
[359] train-mlogloss:0.211795 eval-mlogloss:0.456361
[360] train-mlogloss:0.211448 eval-mlogloss:0.456355
[361] train-mlogloss:0.211150 eval-mlogloss:0.456310
[362] train-mlogloss:0.210866 eval-mlogloss:0.456308
[363] train-mlogloss:0.210534 eval-mlogloss:0.456215
[364] train-mlogloss:0.210179 eval-mlogloss:0.456144
[365] train-mlogloss:0.209861 eval-mlogloss:0.456150
[366] train-mlogloss:0.209293 eval-mlogloss:0.456069
[367] train-mlogloss:0.208939 eval-mlogloss:0.456049
[368] train-mlogloss:0.208694 eval-mlogloss:0.455979
[369] train-mlogloss:0.208476 eval-mlogloss:0.455962
[370] train-mlogloss:0.208264 eval-mlogloss:0.455880
[371] train-mlogloss:0.207978 eval-mlogloss:0.455797
[372] train-mlogloss:0.207579 eval-mlogloss:0.455676
[373] train-mlogloss:0.207189 eval-mlogloss:0.455604
[374] train-mlogloss:0.206935 eval-mlogloss:0.455521
[375] train-mlogloss:0.206471 eval-mlogloss:0.455384
[376] train-mlogloss:0.206222 eval-mlogloss:0.455388
[377] train-mlogloss:0.206006 eval-mlogloss:0.455362
[378] train-mlogloss:0.205597 eval-mlogloss:0.455305
[379] train-mlogloss:0.205162 eval-mlogloss:0.455199
[380] train-mlogloss:0.204944 eval-mlogloss:0.455111
[381] train-mlogloss:0.204650 eval-mlogloss:0.455027
[382] train-mlogloss:0.204322 eval-mlogloss:0.454975
[383] train-mlogloss:0.203969 eval-mlogloss:0.454983
[384] train-mlogloss:0.203694 eval-mlogloss:0.454994
[385] train-mlogloss:0.203469 eval-mlogloss:0.454913
[386] train-mlogloss:0.203167 eval-mlogloss:0.454895
[387] train-mlogloss:0.202792 eval-mlogloss:0.454885
[388] train-mlogloss:0.202539 eval-mlogloss:0.454804
[389] train-mlogloss:0.202111 eval-mlogloss:0.454827
[390] train-mlogloss:0.201776 eval-mlogloss:0.454696
[391] train-mlogloss:0.201457 eval-mlogloss:0.454651
[392] train-mlogloss:0.201223 eval-mlogloss:0.454638
[393] train-mlogloss:0.200991 eval-mlogloss:0.454600
[394] train-mlogloss:0.200713 eval-mlogloss:0.454606
[395] train-mlogloss:0.200338 eval-mlogloss:0.454639
[396] train-mlogloss:0.199978 eval-mlogloss:0.454606
[397] train-mlogloss:0.199557 eval-mlogloss:0.454634
[398] train-mlogloss:0.199243 eval-mlogloss:0.454612
[399] train-mlogloss:0.198798 eval-mlogloss:0.454556
[400] train-mlogloss:0.198572 eval-mlogloss:0.454546
[401] train-mlogloss:0.198279 eval-mlogloss:0.454485
[402] train-mlogloss:0.197961 eval-mlogloss:0.454427
[403] train-mlogloss:0.197659 eval-mlogloss:0.454424
[404] train-mlogloss:0.197374 eval-mlogloss:0.454346
[405] train-mlogloss:0.197153 eval-mlogloss:0.454275
[406] train-mlogloss:0.196930 eval-mlogloss:0.454246
[407] train-mlogloss:0.196608 eval-mlogloss:0.454230
[408] train-mlogloss:0.196224 eval-mlogloss:0.454193
[409] train-mlogloss:0.196045 eval-mlogloss:0.454188
[410] train-mlogloss:0.195844 eval-mlogloss:0.454114
[411] train-mlogloss:0.195472 eval-mlogloss:0.454067
[412] train-mlogloss:0.195196 eval-mlogloss:0.453998
[413] train-mlogloss:0.194966 eval-mlogloss:0.454010
[414] train-mlogloss:0.194739 eval-mlogloss:0.453960
[415] train-mlogloss:0.194379 eval-mlogloss:0.453897
[416] train-mlogloss:0.193999 eval-mlogloss:0.453828
[417] train-mlogloss:0.193819 eval-mlogloss:0.453828
[418] train-mlogloss:0.193507 eval-mlogloss:0.453739
[419] train-mlogloss:0.193109 eval-mlogloss:0.453706
[420] train-mlogloss:0.192795 eval-mlogloss:0.453662
[421] train-mlogloss:0.192417 eval-mlogloss:0.453695
[422] train-mlogloss:0.192159 eval-mlogloss:0.453671
[423] train-mlogloss:0.192018 eval-mlogloss:0.453652
[424] train-mlogloss:0.191722 eval-mlogloss:0.453533
[425] train-mlogloss:0.191448 eval-mlogloss:0.453524
[426] train-mlogloss:0.191192 eval-mlogloss:0.453535
[427] train-mlogloss:0.190843 eval-mlogloss:0.453504
[428] train-mlogloss:0.190565 eval-mlogloss:0.453433
[429] train-mlogloss:0.190431 eval-mlogloss:0.453444
[430] train-mlogloss:0.190156 eval-mlogloss:0.453400
[431] train-mlogloss:0.189783 eval-mlogloss:0.453438
[432] train-mlogloss:0.189545 eval-mlogloss:0.453386
[433] train-mlogloss:0.189293 eval-mlogloss:0.453350
[434] train-mlogloss:0.189061 eval-mlogloss:0.453302
[435] train-mlogloss:0.188696 eval-mlogloss:0.453274
[436] train-mlogloss:0.188406 eval-mlogloss:0.453240
[437] train-mlogloss:0.188215 eval-mlogloss:0.453261
[438] train-mlogloss:0.187798 eval-mlogloss:0.453146
[439] train-mlogloss:0.187513 eval-mlogloss:0.453177
[440] train-mlogloss:0.187113 eval-mlogloss:0.453089
[441] train-mlogloss:0.186791 eval-mlogloss:0.453032
[442] train-mlogloss:0.186562 eval-mlogloss:0.453090
[443] train-mlogloss:0.186324 eval-mlogloss:0.453116
[444] train-mlogloss:0.186164 eval-mlogloss:0.453115
[445] train-mlogloss:0.185736 eval-mlogloss:0.453063
[446] train-mlogloss:0.185504 eval-mlogloss:0.453062
[447] train-mlogloss:0.185324 eval-mlogloss:0.453009
[448] train-mlogloss:0.185088 eval-mlogloss:0.452970
[449] train-mlogloss:0.184699 eval-mlogloss:0.452918
[450] train-mlogloss:0.184426 eval-mlogloss:0.452865
[451] train-mlogloss:0.184251 eval-mlogloss:0.452901
[452] train-mlogloss:0.183993 eval-mlogloss:0.452840
[453] train-mlogloss:0.183798 eval-mlogloss:0.452752
[454] train-mlogloss:0.183542 eval-mlogloss:0.452723
[455] train-mlogloss:0.183343 eval-mlogloss:0.452642
[456] train-mlogloss:0.183108 eval-mlogloss:0.452589
[457] train-mlogloss:0.182919 eval-mlogloss:0.452570
[458] train-mlogloss:0.182733 eval-mlogloss:0.452525
[459] train-mlogloss:0.182308 eval-mlogloss:0.452540
[460] train-mlogloss:0.182076 eval-mlogloss:0.452528
[461] train-mlogloss:0.181898 eval-mlogloss:0.452519
[462] train-mlogloss:0.181663 eval-mlogloss:0.452492
[463] train-mlogloss:0.181356 eval-mlogloss:0.452478
[464] train-mlogloss:0.181097 eval-mlogloss:0.452498
[465] train-mlogloss:0.180849 eval-mlogloss:0.452437
[466] train-mlogloss:0.180599 eval-mlogloss:0.452475
[467] train-mlogloss:0.180335 eval-mlogloss:0.452492
[468] train-mlogloss:0.180052 eval-mlogloss:0.452386
[469] train-mlogloss:0.179852 eval-mlogloss:0.452300
[470] train-mlogloss:0.179630 eval-mlogloss:0.452244
[471] train-mlogloss:0.179404 eval-mlogloss:0.452182
[472] train-mlogloss:0.179243 eval-mlogloss:0.452222
[473] train-mlogloss:0.178975 eval-mlogloss:0.452180
[474] train-mlogloss:0.178772 eval-mlogloss:0.452122
[475] train-mlogloss:0.178564 eval-mlogloss:0.452075
[476] train-mlogloss:0.178353 eval-mlogloss:0.452089
[477] train-mlogloss:0.178080 eval-mlogloss:0.452027
[478] train-mlogloss:0.177759 eval-mlogloss:0.451991
[479] train-mlogloss:0.177573 eval-mlogloss:0.451976
[480] train-mlogloss:0.177437 eval-mlogloss:0.451956
[481] train-mlogloss:0.177311 eval-mlogloss:0.451965
[482] train-mlogloss:0.177084 eval-mlogloss:0.451993
[483] train-mlogloss:0.176853 eval-mlogloss:0.451966
[484] train-mlogloss:0.176547 eval-mlogloss:0.451936
[485] train-mlogloss:0.176285 eval-mlogloss:0.451883
[486] train-mlogloss:0.176022 eval-mlogloss:0.451901
[487] train-mlogloss:0.175722 eval-mlogloss:0.451866
[488] train-mlogloss:0.175508 eval-mlogloss:0.451845
[489] train-mlogloss:0.175381 eval-mlogloss:0.451835
[490] train-mlogloss:0.175116 eval-mlogloss:0.451827
[491] train-mlogloss:0.175040 eval-mlogloss:0.451779
[492] train-mlogloss:0.174816 eval-mlogloss:0.451794
[493] train-mlogloss:0.174564 eval-mlogloss:0.451807
[494] train-mlogloss:0.174352 eval-mlogloss:0.451834
[495] train-mlogloss:0.174127 eval-mlogloss:0.451804
[496] train-mlogloss:0.173928 eval-mlogloss:0.451802
[497] train-mlogloss:0.173731 eval-mlogloss:0.451805
[498] train-mlogloss:0.173494 eval-mlogloss:0.451825
[499] train-mlogloss:0.173285 eval-mlogloss:0.451822
Training with params :
{'eta': 0.07500000000000001, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.6000000000000001, 'max_depth': 8.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.4518219251082326
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.094786 eval-mlogloss:2.096372
[1] train-mlogloss:2.001930 eval-mlogloss:2.004716
[2] train-mlogloss:1.931194 eval-mlogloss:1.935005
[3] train-mlogloss:1.859928 eval-mlogloss:1.864792
[4] train-mlogloss:1.792320 eval-mlogloss:1.798465
[5] train-mlogloss:1.733681 eval-mlogloss:1.740511
[6] train-mlogloss:1.682791 eval-mlogloss:1.690756
[7] train-mlogloss:1.636059 eval-mlogloss:1.644781
[8] train-mlogloss:1.583765 eval-mlogloss:1.593353
[9] train-mlogloss:1.541432 eval-mlogloss:1.551650
[10] train-mlogloss:1.499704 eval-mlogloss:1.510759
[11] train-mlogloss:1.459711 eval-mlogloss:1.471193
[12] train-mlogloss:1.424313 eval-mlogloss:1.436489
[13] train-mlogloss:1.389134 eval-mlogloss:1.402246
[14] train-mlogloss:1.357280 eval-mlogloss:1.371287
[15] train-mlogloss:1.324675 eval-mlogloss:1.339365
[16] train-mlogloss:1.297130 eval-mlogloss:1.312354
[17] train-mlogloss:1.270406 eval-mlogloss:1.286032
[18] train-mlogloss:1.244663 eval-mlogloss:1.261010
[19] train-mlogloss:1.220289 eval-mlogloss:1.237615
[20] train-mlogloss:1.197268 eval-mlogloss:1.215122
[21] train-mlogloss:1.174590 eval-mlogloss:1.193108
[22] train-mlogloss:1.152290 eval-mlogloss:1.171415
[23] train-mlogloss:1.130748 eval-mlogloss:1.150400
[24] train-mlogloss:1.109209 eval-mlogloss:1.129343
[25] train-mlogloss:1.091790 eval-mlogloss:1.112796
[26] train-mlogloss:1.072384 eval-mlogloss:1.093930
[27] train-mlogloss:1.055554 eval-mlogloss:1.077803
[28] train-mlogloss:1.038562 eval-mlogloss:1.061402
[29] train-mlogloss:1.020960 eval-mlogloss:1.044390
[30] train-mlogloss:1.005509 eval-mlogloss:1.029625
[31] train-mlogloss:0.991300 eval-mlogloss:1.015918
[32] train-mlogloss:0.977001 eval-mlogloss:1.002184
[33] train-mlogloss:0.962742 eval-mlogloss:0.988312
[34] train-mlogloss:0.948694 eval-mlogloss:0.974928
[35] train-mlogloss:0.936239 eval-mlogloss:0.962845
[36] train-mlogloss:0.923909 eval-mlogloss:0.951092
[37] train-mlogloss:0.912804 eval-mlogloss:0.940539
[38] train-mlogloss:0.901621 eval-mlogloss:0.929846
[39] train-mlogloss:0.890939 eval-mlogloss:0.919676
[40] train-mlogloss:0.881033 eval-mlogloss:0.910305
[41] train-mlogloss:0.870333 eval-mlogloss:0.900110
[42] train-mlogloss:0.860001 eval-mlogloss:0.890265
[43] train-mlogloss:0.850889 eval-mlogloss:0.881570
[44] train-mlogloss:0.841005 eval-mlogloss:0.872061
[45] train-mlogloss:0.831918 eval-mlogloss:0.863480
[46] train-mlogloss:0.823821 eval-mlogloss:0.855953
[47] train-mlogloss:0.815377 eval-mlogloss:0.848095
[48] train-mlogloss:0.806768 eval-mlogloss:0.839943
[49] train-mlogloss:0.798922 eval-mlogloss:0.832452
[50] train-mlogloss:0.790984 eval-mlogloss:0.824994
[51] train-mlogloss:0.782964 eval-mlogloss:0.817433
[52] train-mlogloss:0.775075 eval-mlogloss:0.810047
[53] train-mlogloss:0.767882 eval-mlogloss:0.803317
[54] train-mlogloss:0.761147 eval-mlogloss:0.797039
[55] train-mlogloss:0.754810 eval-mlogloss:0.791036
[56] train-mlogloss:0.747935 eval-mlogloss:0.784598
[57] train-mlogloss:0.741301 eval-mlogloss:0.778367
[58] train-mlogloss:0.735672 eval-mlogloss:0.773379
[59] train-mlogloss:0.729827 eval-mlogloss:0.768090
[60] train-mlogloss:0.723628 eval-mlogloss:0.762302
[61] train-mlogloss:0.717685 eval-mlogloss:0.756881
[62] train-mlogloss:0.712274 eval-mlogloss:0.751919
[63] train-mlogloss:0.707239 eval-mlogloss:0.747265
[64] train-mlogloss:0.701790 eval-mlogloss:0.742288
[65] train-mlogloss:0.696580 eval-mlogloss:0.737642
[66] train-mlogloss:0.691377 eval-mlogloss:0.732928
[67] train-mlogloss:0.686656 eval-mlogloss:0.728700
[68] train-mlogloss:0.681971 eval-mlogloss:0.724434
[69] train-mlogloss:0.677372 eval-mlogloss:0.720390
[70] train-mlogloss:0.673150 eval-mlogloss:0.716575
[71] train-mlogloss:0.668741 eval-mlogloss:0.712569
[72] train-mlogloss:0.664081 eval-mlogloss:0.708284
[73] train-mlogloss:0.659849 eval-mlogloss:0.704508
[74] train-mlogloss:0.656095 eval-mlogloss:0.701202
[75] train-mlogloss:0.652693 eval-mlogloss:0.698103
[76] train-mlogloss:0.648809 eval-mlogloss:0.694566
[77] train-mlogloss:0.644587 eval-mlogloss:0.690851
[78] train-mlogloss:0.640842 eval-mlogloss:0.687515
[79] train-mlogloss:0.637408 eval-mlogloss:0.684468
[80] train-mlogloss:0.633875 eval-mlogloss:0.681361
[81] train-mlogloss:0.630213 eval-mlogloss:0.678107
[82] train-mlogloss:0.626473 eval-mlogloss:0.674841
[83] train-mlogloss:0.623281 eval-mlogloss:0.671982
[84] train-mlogloss:0.620037 eval-mlogloss:0.669135
[85] train-mlogloss:0.616728 eval-mlogloss:0.666414
[86] train-mlogloss:0.613347 eval-mlogloss:0.663476
[87] train-mlogloss:0.610162 eval-mlogloss:0.660776
[88] train-mlogloss:0.607181 eval-mlogloss:0.658368
[89] train-mlogloss:0.603955 eval-mlogloss:0.655597
[90] train-mlogloss:0.600823 eval-mlogloss:0.652796
[91] train-mlogloss:0.598192 eval-mlogloss:0.650595
[92] train-mlogloss:0.595315 eval-mlogloss:0.648195
[93] train-mlogloss:0.592658 eval-mlogloss:0.646063
[94] train-mlogloss:0.589769 eval-mlogloss:0.643616
[95] train-mlogloss:0.587303 eval-mlogloss:0.641617
[96] train-mlogloss:0.585014 eval-mlogloss:0.639648
[97] train-mlogloss:0.582491 eval-mlogloss:0.637611
[98] train-mlogloss:0.580262 eval-mlogloss:0.635705
[99] train-mlogloss:0.577547 eval-mlogloss:0.633462
[100] train-mlogloss:0.575427 eval-mlogloss:0.631567
[101] train-mlogloss:0.572984 eval-mlogloss:0.629529
[102] train-mlogloss:0.570628 eval-mlogloss:0.627590
[103] train-mlogloss:0.568392 eval-mlogloss:0.625676
[104] train-mlogloss:0.566222 eval-mlogloss:0.623837
[105] train-mlogloss:0.564226 eval-mlogloss:0.622166
[106] train-mlogloss:0.562149 eval-mlogloss:0.620402
[107] train-mlogloss:0.559984 eval-mlogloss:0.618537
[108] train-mlogloss:0.557895 eval-mlogloss:0.616770
[109] train-mlogloss:0.556050 eval-mlogloss:0.615218
[110] train-mlogloss:0.554098 eval-mlogloss:0.613719
[111] train-mlogloss:0.552159 eval-mlogloss:0.612065
[112] train-mlogloss:0.550092 eval-mlogloss:0.610284
[113] train-mlogloss:0.548186 eval-mlogloss:0.608826
[114] train-mlogloss:0.546217 eval-mlogloss:0.607339
[115] train-mlogloss:0.544487 eval-mlogloss:0.606061
[116] train-mlogloss:0.542586 eval-mlogloss:0.604522
[117] train-mlogloss:0.540733 eval-mlogloss:0.602982
[118] train-mlogloss:0.538848 eval-mlogloss:0.601379
[119] train-mlogloss:0.537255 eval-mlogloss:0.600157
[120] train-mlogloss:0.535571 eval-mlogloss:0.598771
[121] train-mlogloss:0.534115 eval-mlogloss:0.597593
[122] train-mlogloss:0.532605 eval-mlogloss:0.596409
[123] train-mlogloss:0.531064 eval-mlogloss:0.595284
[124] train-mlogloss:0.529456 eval-mlogloss:0.593968
[125] train-mlogloss:0.527964 eval-mlogloss:0.592832
[126] train-mlogloss:0.526363 eval-mlogloss:0.591556
[127] train-mlogloss:0.524967 eval-mlogloss:0.590482
[128] train-mlogloss:0.523218 eval-mlogloss:0.589193
[129] train-mlogloss:0.521521 eval-mlogloss:0.587884
[130] train-mlogloss:0.520053 eval-mlogloss:0.586670
[131] train-mlogloss:0.518661 eval-mlogloss:0.585472
[132] train-mlogloss:0.517437 eval-mlogloss:0.584517
[133] train-mlogloss:0.515933 eval-mlogloss:0.583440
[134] train-mlogloss:0.514616 eval-mlogloss:0.582514
[135] train-mlogloss:0.513247 eval-mlogloss:0.581542
[136] train-mlogloss:0.511715 eval-mlogloss:0.580361
[137] train-mlogloss:0.510462 eval-mlogloss:0.579403
[138] train-mlogloss:0.508984 eval-mlogloss:0.578352
[139] train-mlogloss:0.507679 eval-mlogloss:0.577333
[140] train-mlogloss:0.506552 eval-mlogloss:0.576470
[141] train-mlogloss:0.505108 eval-mlogloss:0.575345
[142] train-mlogloss:0.503912 eval-mlogloss:0.574412
[143] train-mlogloss:0.502527 eval-mlogloss:0.573419
[144] train-mlogloss:0.501297 eval-mlogloss:0.572577
[145] train-mlogloss:0.500019 eval-mlogloss:0.571619
[146] train-mlogloss:0.498875 eval-mlogloss:0.570751
[147] train-mlogloss:0.497694 eval-mlogloss:0.569811
[148] train-mlogloss:0.496488 eval-mlogloss:0.568908
[149] train-mlogloss:0.495342 eval-mlogloss:0.568048
[150] train-mlogloss:0.494217 eval-mlogloss:0.567235
[151] train-mlogloss:0.493110 eval-mlogloss:0.566417
[152] train-mlogloss:0.491931 eval-mlogloss:0.565640
[153] train-mlogloss:0.490897 eval-mlogloss:0.564866
[154] train-mlogloss:0.489825 eval-mlogloss:0.564069
[155] train-mlogloss:0.488829 eval-mlogloss:0.563262
[156] train-mlogloss:0.487567 eval-mlogloss:0.562388
[157] train-mlogloss:0.486500 eval-mlogloss:0.561626
[158] train-mlogloss:0.485390 eval-mlogloss:0.560712
[159] train-mlogloss:0.484330 eval-mlogloss:0.559888
[160] train-mlogloss:0.483321 eval-mlogloss:0.559096
[161] train-mlogloss:0.482259 eval-mlogloss:0.558310
[162] train-mlogloss:0.481219 eval-mlogloss:0.557544
[163] train-mlogloss:0.480243 eval-mlogloss:0.556852
[164] train-mlogloss:0.478962 eval-mlogloss:0.555994
[165] train-mlogloss:0.478064 eval-mlogloss:0.555386
[166] train-mlogloss:0.477260 eval-mlogloss:0.554781
[167] train-mlogloss:0.476224 eval-mlogloss:0.553935
[168] train-mlogloss:0.475171 eval-mlogloss:0.553171
[169] train-mlogloss:0.474170 eval-mlogloss:0.552548
[170] train-mlogloss:0.473356 eval-mlogloss:0.551964
[171] train-mlogloss:0.472480 eval-mlogloss:0.551364
[172] train-mlogloss:0.471508 eval-mlogloss:0.550737
[173] train-mlogloss:0.470641 eval-mlogloss:0.550232
[174] train-mlogloss:0.469895 eval-mlogloss:0.549702
[175] train-mlogloss:0.468994 eval-mlogloss:0.549136
[176] train-mlogloss:0.468163 eval-mlogloss:0.548582
[177] train-mlogloss:0.467251 eval-mlogloss:0.547947
[178] train-mlogloss:0.466319 eval-mlogloss:0.547420
[179] train-mlogloss:0.465448 eval-mlogloss:0.546830
[180] train-mlogloss:0.464639 eval-mlogloss:0.546233
[181] train-mlogloss:0.463621 eval-mlogloss:0.545596
[182] train-mlogloss:0.462826 eval-mlogloss:0.544976
[183] train-mlogloss:0.462007 eval-mlogloss:0.544452
[184] train-mlogloss:0.461211 eval-mlogloss:0.543901
[185] train-mlogloss:0.460375 eval-mlogloss:0.543285
[186] train-mlogloss:0.459485 eval-mlogloss:0.542682
[187] train-mlogloss:0.458655 eval-mlogloss:0.542184
[188] train-mlogloss:0.457609 eval-mlogloss:0.541525
[189] train-mlogloss:0.456829 eval-mlogloss:0.540991
[190] train-mlogloss:0.455736 eval-mlogloss:0.540350
[191] train-mlogloss:0.454944 eval-mlogloss:0.539835
[192] train-mlogloss:0.454274 eval-mlogloss:0.539396
[193] train-mlogloss:0.453522 eval-mlogloss:0.538962
[194] train-mlogloss:0.452865 eval-mlogloss:0.538497
[195] train-mlogloss:0.452085 eval-mlogloss:0.537916
[196] train-mlogloss:0.451408 eval-mlogloss:0.537486
[197] train-mlogloss:0.450708 eval-mlogloss:0.537091
[198] train-mlogloss:0.449979 eval-mlogloss:0.536678
[199] train-mlogloss:0.449278 eval-mlogloss:0.536277
[200] train-mlogloss:0.448682 eval-mlogloss:0.535853
[201] train-mlogloss:0.447916 eval-mlogloss:0.535441
[202] train-mlogloss:0.447187 eval-mlogloss:0.534969
[203] train-mlogloss:0.446642 eval-mlogloss:0.534582
[204] train-mlogloss:0.445857 eval-mlogloss:0.534121
[205] train-mlogloss:0.445216 eval-mlogloss:0.533697
[206] train-mlogloss:0.444588 eval-mlogloss:0.533277
[207] train-mlogloss:0.443790 eval-mlogloss:0.532815
[208] train-mlogloss:0.443064 eval-mlogloss:0.532307
[209] train-mlogloss:0.442329 eval-mlogloss:0.531809
[210] train-mlogloss:0.441539 eval-mlogloss:0.531268
[211] train-mlogloss:0.440943 eval-mlogloss:0.530860
[212] train-mlogloss:0.440336 eval-mlogloss:0.530518
[213] train-mlogloss:0.439660 eval-mlogloss:0.530092
[214] train-mlogloss:0.439029 eval-mlogloss:0.529700
[215] train-mlogloss:0.438380 eval-mlogloss:0.529370
[216] train-mlogloss:0.437694 eval-mlogloss:0.529006
[217] train-mlogloss:0.437001 eval-mlogloss:0.528667
[218] train-mlogloss:0.436213 eval-mlogloss:0.528221
[219] train-mlogloss:0.435568 eval-mlogloss:0.527755
[220] train-mlogloss:0.434657 eval-mlogloss:0.527222
[221] train-mlogloss:0.433954 eval-mlogloss:0.526799
[222] train-mlogloss:0.433346 eval-mlogloss:0.526383
[223] train-mlogloss:0.432740 eval-mlogloss:0.526049
[224] train-mlogloss:0.432033 eval-mlogloss:0.525662
[225] train-mlogloss:0.431409 eval-mlogloss:0.525333
[226] train-mlogloss:0.430653 eval-mlogloss:0.524853
[227] train-mlogloss:0.430036 eval-mlogloss:0.524449
[228] train-mlogloss:0.429488 eval-mlogloss:0.524065
[229] train-mlogloss:0.428937 eval-mlogloss:0.523673
[230] train-mlogloss:0.428293 eval-mlogloss:0.523355
[231] train-mlogloss:0.427691 eval-mlogloss:0.522995
[232] train-mlogloss:0.427076 eval-mlogloss:0.522643
[233] train-mlogloss:0.426349 eval-mlogloss:0.522267
[234] train-mlogloss:0.425715 eval-mlogloss:0.521834
[235] train-mlogloss:0.425037 eval-mlogloss:0.521474
[236] train-mlogloss:0.424472 eval-mlogloss:0.521112
[237] train-mlogloss:0.423822 eval-mlogloss:0.520755
[238] train-mlogloss:0.423190 eval-mlogloss:0.520388
[239] train-mlogloss:0.422414 eval-mlogloss:0.520011
[240] train-mlogloss:0.421918 eval-mlogloss:0.519829
[241] train-mlogloss:0.421480 eval-mlogloss:0.519553
[242] train-mlogloss:0.420868 eval-mlogloss:0.519263
[243] train-mlogloss:0.420219 eval-mlogloss:0.518896
[244] train-mlogloss:0.419627 eval-mlogloss:0.518568
[245] train-mlogloss:0.419009 eval-mlogloss:0.518284
[246] train-mlogloss:0.418449 eval-mlogloss:0.517934
[247] train-mlogloss:0.417915 eval-mlogloss:0.517681
[248] train-mlogloss:0.417347 eval-mlogloss:0.517309
[249] train-mlogloss:0.416917 eval-mlogloss:0.517055
[250] train-mlogloss:0.416457 eval-mlogloss:0.516801
[251] train-mlogloss:0.415945 eval-mlogloss:0.516501
[252] train-mlogloss:0.415390 eval-mlogloss:0.516136
[253] train-mlogloss:0.414886 eval-mlogloss:0.515824
[254] train-mlogloss:0.414366 eval-mlogloss:0.515479
[255] train-mlogloss:0.413783 eval-mlogloss:0.515180
[256] train-mlogloss:0.413171 eval-mlogloss:0.514955
[257] train-mlogloss:0.412486 eval-mlogloss:0.514596
[258] train-mlogloss:0.411947 eval-mlogloss:0.514309
[259] train-mlogloss:0.411510 eval-mlogloss:0.514105
[260] train-mlogloss:0.410976 eval-mlogloss:0.513820
[261] train-mlogloss:0.410408 eval-mlogloss:0.513534
[262] train-mlogloss:0.409770 eval-mlogloss:0.513290
[263] train-mlogloss:0.409293 eval-mlogloss:0.513037
[264] train-mlogloss:0.408751 eval-mlogloss:0.512690
[265] train-mlogloss:0.408183 eval-mlogloss:0.512364
[266] train-mlogloss:0.407746 eval-mlogloss:0.512063
[267] train-mlogloss:0.407171 eval-mlogloss:0.511806
[268] train-mlogloss:0.406724 eval-mlogloss:0.511545
[269] train-mlogloss:0.406218 eval-mlogloss:0.511332
[270] train-mlogloss:0.405701 eval-mlogloss:0.511024
[271] train-mlogloss:0.405125 eval-mlogloss:0.510702
[272] train-mlogloss:0.404659 eval-mlogloss:0.510499
[273] train-mlogloss:0.404204 eval-mlogloss:0.510266
[274] train-mlogloss:0.403620 eval-mlogloss:0.510010
[275] train-mlogloss:0.403138 eval-mlogloss:0.509715
[276] train-mlogloss:0.402635 eval-mlogloss:0.509502
[277] train-mlogloss:0.402179 eval-mlogloss:0.509291
[278] train-mlogloss:0.401697 eval-mlogloss:0.509041
[279] train-mlogloss:0.401115 eval-mlogloss:0.508775
[280] train-mlogloss:0.400588 eval-mlogloss:0.508551
[281] train-mlogloss:0.400047 eval-mlogloss:0.508249
[282] train-mlogloss:0.399539 eval-mlogloss:0.508023
[283] train-mlogloss:0.399131 eval-mlogloss:0.507815
[284] train-mlogloss:0.398564 eval-mlogloss:0.507589
[285] train-mlogloss:0.398076 eval-mlogloss:0.507450
[286] train-mlogloss:0.397617 eval-mlogloss:0.507199
[287] train-mlogloss:0.397193 eval-mlogloss:0.506962
[288] train-mlogloss:0.396669 eval-mlogloss:0.506777
[289] train-mlogloss:0.396180 eval-mlogloss:0.506593
[290] train-mlogloss:0.395702 eval-mlogloss:0.506368
[291] train-mlogloss:0.395238 eval-mlogloss:0.506149
[292] train-mlogloss:0.394785 eval-mlogloss:0.505938
[293] train-mlogloss:0.394256 eval-mlogloss:0.505643
[294] train-mlogloss:0.393778 eval-mlogloss:0.505420
[295] train-mlogloss:0.393334 eval-mlogloss:0.505192
[296] train-mlogloss:0.392979 eval-mlogloss:0.505016
[297] train-mlogloss:0.392420 eval-mlogloss:0.504731
[298] train-mlogloss:0.392025 eval-mlogloss:0.504528
[299] train-mlogloss:0.391435 eval-mlogloss:0.504248
[300] train-mlogloss:0.390991 eval-mlogloss:0.504037
[301] train-mlogloss:0.390511 eval-mlogloss:0.503838
[302] train-mlogloss:0.390081 eval-mlogloss:0.503612
[303] train-mlogloss:0.389570 eval-mlogloss:0.503423
[304] train-mlogloss:0.388956 eval-mlogloss:0.503159
[305] train-mlogloss:0.388383 eval-mlogloss:0.502895
[306] train-mlogloss:0.387819 eval-mlogloss:0.502682
[307] train-mlogloss:0.387322 eval-mlogloss:0.502408
[308] train-mlogloss:0.386834 eval-mlogloss:0.502172
[309] train-mlogloss:0.386234 eval-mlogloss:0.501971
[310] train-mlogloss:0.385663 eval-mlogloss:0.501702
[311] train-mlogloss:0.385101 eval-mlogloss:0.501499
[312] train-mlogloss:0.384685 eval-mlogloss:0.501307
[313] train-mlogloss:0.384316 eval-mlogloss:0.501105
[314] train-mlogloss:0.383895 eval-mlogloss:0.500945
[315] train-mlogloss:0.383394 eval-mlogloss:0.500711
[316] train-mlogloss:0.382966 eval-mlogloss:0.500547
[317] train-mlogloss:0.382506 eval-mlogloss:0.500383
[318] train-mlogloss:0.382106 eval-mlogloss:0.500136
[319] train-mlogloss:0.381673 eval-mlogloss:0.499909
[320] train-mlogloss:0.381273 eval-mlogloss:0.499749
[321] train-mlogloss:0.380881 eval-mlogloss:0.499592
[322] train-mlogloss:0.380536 eval-mlogloss:0.499412
[323] train-mlogloss:0.380080 eval-mlogloss:0.499211
[324] train-mlogloss:0.379731 eval-mlogloss:0.499073
[325] train-mlogloss:0.379312 eval-mlogloss:0.498875
[326] train-mlogloss:0.378877 eval-mlogloss:0.498675
[327] train-mlogloss:0.378474 eval-mlogloss:0.498491
[328] train-mlogloss:0.378053 eval-mlogloss:0.498313
[329] train-mlogloss:0.377565 eval-mlogloss:0.498047
[330] train-mlogloss:0.377197 eval-mlogloss:0.497880
[331] train-mlogloss:0.376799 eval-mlogloss:0.497702
[332] train-mlogloss:0.376310 eval-mlogloss:0.497463
[333] train-mlogloss:0.375811 eval-mlogloss:0.497249
[334] train-mlogloss:0.375379 eval-mlogloss:0.497067
[335] train-mlogloss:0.374854 eval-mlogloss:0.496901
[336] train-mlogloss:0.374368 eval-mlogloss:0.496737
[337] train-mlogloss:0.373937 eval-mlogloss:0.496535
[338] train-mlogloss:0.373626 eval-mlogloss:0.496396
[339] train-mlogloss:0.373174 eval-mlogloss:0.496157
[340] train-mlogloss:0.372735 eval-mlogloss:0.495925
[341] train-mlogloss:0.372370 eval-mlogloss:0.495760
[342] train-mlogloss:0.371936 eval-mlogloss:0.495571
[343] train-mlogloss:0.371550 eval-mlogloss:0.495425
[344] train-mlogloss:0.371139 eval-mlogloss:0.495262
[345] train-mlogloss:0.370772 eval-mlogloss:0.495036
[346] train-mlogloss:0.370315 eval-mlogloss:0.494863
[347] train-mlogloss:0.370031 eval-mlogloss:0.494720
[348] train-mlogloss:0.369692 eval-mlogloss:0.494568
[349] train-mlogloss:0.369309 eval-mlogloss:0.494365
[350] train-mlogloss:0.368858 eval-mlogloss:0.494201
[351] train-mlogloss:0.368506 eval-mlogloss:0.493992
[352] train-mlogloss:0.368050 eval-mlogloss:0.493816
[353] train-mlogloss:0.367696 eval-mlogloss:0.493629
[354] train-mlogloss:0.367281 eval-mlogloss:0.493469
[355] train-mlogloss:0.366923 eval-mlogloss:0.493334
[356] train-mlogloss:0.366477 eval-mlogloss:0.493154
[357] train-mlogloss:0.365963 eval-mlogloss:0.492979
[358] train-mlogloss:0.365590 eval-mlogloss:0.492855
[359] train-mlogloss:0.365236 eval-mlogloss:0.492676
[360] train-mlogloss:0.364777 eval-mlogloss:0.492481
[361] train-mlogloss:0.364376 eval-mlogloss:0.492307
[362] train-mlogloss:0.363989 eval-mlogloss:0.492146
[363] train-mlogloss:0.363668 eval-mlogloss:0.492013
[364] train-mlogloss:0.363264 eval-mlogloss:0.491884
[365] train-mlogloss:0.362970 eval-mlogloss:0.491770
[366] train-mlogloss:0.362446 eval-mlogloss:0.491547
[367] train-mlogloss:0.362002 eval-mlogloss:0.491358
[368] train-mlogloss:0.361708 eval-mlogloss:0.491242
[369] train-mlogloss:0.361327 eval-mlogloss:0.491140
[370] train-mlogloss:0.360968 eval-mlogloss:0.490971
[371] train-mlogloss:0.360562 eval-mlogloss:0.490804
[372] train-mlogloss:0.360231 eval-mlogloss:0.490659
[373] train-mlogloss:0.359965 eval-mlogloss:0.490540
[374] train-mlogloss:0.359550 eval-mlogloss:0.490371
[375] train-mlogloss:0.359122 eval-mlogloss:0.490126
[376] train-mlogloss:0.358685 eval-mlogloss:0.489985
[377] train-mlogloss:0.358346 eval-mlogloss:0.489845
[378] train-mlogloss:0.357998 eval-mlogloss:0.489681
[379] train-mlogloss:0.357621 eval-mlogloss:0.489587
[380] train-mlogloss:0.357216 eval-mlogloss:0.489474
[381] train-mlogloss:0.356863 eval-mlogloss:0.489249
[382] train-mlogloss:0.356499 eval-mlogloss:0.489062
[383] train-mlogloss:0.356203 eval-mlogloss:0.488929
[384] train-mlogloss:0.355874 eval-mlogloss:0.488797
[385] train-mlogloss:0.355438 eval-mlogloss:0.488571
[386] train-mlogloss:0.355119 eval-mlogloss:0.488448
[387] train-mlogloss:0.354772 eval-mlogloss:0.488309
[388] train-mlogloss:0.354514 eval-mlogloss:0.488224
[389] train-mlogloss:0.354149 eval-mlogloss:0.488066
[390] train-mlogloss:0.353707 eval-mlogloss:0.487918
[391] train-mlogloss:0.353409 eval-mlogloss:0.487802
[392] train-mlogloss:0.353131 eval-mlogloss:0.487705
[393] train-mlogloss:0.352834 eval-mlogloss:0.487628
[394] train-mlogloss:0.352481 eval-mlogloss:0.487456
[395] train-mlogloss:0.352089 eval-mlogloss:0.487279
[396] train-mlogloss:0.351844 eval-mlogloss:0.487111
[397] train-mlogloss:0.351394 eval-mlogloss:0.486936
[398] train-mlogloss:0.351058 eval-mlogloss:0.486776
[399] train-mlogloss:0.350642 eval-mlogloss:0.486680
[400] train-mlogloss:0.350237 eval-mlogloss:0.486564
[401] train-mlogloss:0.349905 eval-mlogloss:0.486466
[402] train-mlogloss:0.349522 eval-mlogloss:0.486306
[403] train-mlogloss:0.349111 eval-mlogloss:0.486109
[404] train-mlogloss:0.348781 eval-mlogloss:0.485959
[405] train-mlogloss:0.348433 eval-mlogloss:0.485855
[406] train-mlogloss:0.348103 eval-mlogloss:0.485718
[407] train-mlogloss:0.347713 eval-mlogloss:0.485573
[408] train-mlogloss:0.347421 eval-mlogloss:0.485455
[409] train-mlogloss:0.346991 eval-mlogloss:0.485356
[410] train-mlogloss:0.346643 eval-mlogloss:0.485155
[411] train-mlogloss:0.346312 eval-mlogloss:0.484953
[412] train-mlogloss:0.345940 eval-mlogloss:0.484839
[413] train-mlogloss:0.345651 eval-mlogloss:0.484725
[414] train-mlogloss:0.345401 eval-mlogloss:0.484666
[415] train-mlogloss:0.345025 eval-mlogloss:0.484520
[416] train-mlogloss:0.344741 eval-mlogloss:0.484396
[417] train-mlogloss:0.344361 eval-mlogloss:0.484282
[418] train-mlogloss:0.343948 eval-mlogloss:0.484071
[419] train-mlogloss:0.343636 eval-mlogloss:0.483997
[420] train-mlogloss:0.343380 eval-mlogloss:0.483891
[421] train-mlogloss:0.343063 eval-mlogloss:0.483789
[422] train-mlogloss:0.342674 eval-mlogloss:0.483661
[423] train-mlogloss:0.342370 eval-mlogloss:0.483532
[424] train-mlogloss:0.342123 eval-mlogloss:0.483480
[425] train-mlogloss:0.341842 eval-mlogloss:0.483339
[426] train-mlogloss:0.341437 eval-mlogloss:0.483177
[427] train-mlogloss:0.341174 eval-mlogloss:0.483109
[428] train-mlogloss:0.340796 eval-mlogloss:0.483011
[429] train-mlogloss:0.340470 eval-mlogloss:0.482872
[430] train-mlogloss:0.340141 eval-mlogloss:0.482731
[431] train-mlogloss:0.339821 eval-mlogloss:0.482615
[432] train-mlogloss:0.339483 eval-mlogloss:0.482495
[433] train-mlogloss:0.339196 eval-mlogloss:0.482421
[434] train-mlogloss:0.338812 eval-mlogloss:0.482312
[435] train-mlogloss:0.338522 eval-mlogloss:0.482177
[436] train-mlogloss:0.338185 eval-mlogloss:0.482068
[437] train-mlogloss:0.337749 eval-mlogloss:0.481979
[438] train-mlogloss:0.337377 eval-mlogloss:0.481817
[439] train-mlogloss:0.336998 eval-mlogloss:0.481728
[440] train-mlogloss:0.336641 eval-mlogloss:0.481603
[441] train-mlogloss:0.336238 eval-mlogloss:0.481541
[442] train-mlogloss:0.335879 eval-mlogloss:0.481368
[443] train-mlogloss:0.335474 eval-mlogloss:0.481195
[444] train-mlogloss:0.335125 eval-mlogloss:0.481069
[445] train-mlogloss:0.334931 eval-mlogloss:0.480974
[446] train-mlogloss:0.334724 eval-mlogloss:0.480886
[447] train-mlogloss:0.334340 eval-mlogloss:0.480751
[448] train-mlogloss:0.334117 eval-mlogloss:0.480692
[449] train-mlogloss:0.333825 eval-mlogloss:0.480583
[450] train-mlogloss:0.333468 eval-mlogloss:0.480460
[451] train-mlogloss:0.333132 eval-mlogloss:0.480397
[452] train-mlogloss:0.332814 eval-mlogloss:0.480269
[453] train-mlogloss:0.332532 eval-mlogloss:0.480173
[454] train-mlogloss:0.332150 eval-mlogloss:0.480073
[455] train-mlogloss:0.331816 eval-mlogloss:0.479925
[456] train-mlogloss:0.331497 eval-mlogloss:0.479809
[457] train-mlogloss:0.331211 eval-mlogloss:0.479731
[458] train-mlogloss:0.330845 eval-mlogloss:0.479638
[459] train-mlogloss:0.330541 eval-mlogloss:0.479547
[460] train-mlogloss:0.330250 eval-mlogloss:0.479430
[461] train-mlogloss:0.329970 eval-mlogloss:0.479329
[462] train-mlogloss:0.329722 eval-mlogloss:0.479210
[463] train-mlogloss:0.329465 eval-mlogloss:0.479149
[464] train-mlogloss:0.328994 eval-mlogloss:0.479074
[465] train-mlogloss:0.328742 eval-mlogloss:0.479011
[466] train-mlogloss:0.328463 eval-mlogloss:0.478920
[467] train-mlogloss:0.328170 eval-mlogloss:0.478769
[468] train-mlogloss:0.327937 eval-mlogloss:0.478679
[469] train-mlogloss:0.327661 eval-mlogloss:0.478563
[470] train-mlogloss:0.327384 eval-mlogloss:0.478500
[471] train-mlogloss:0.327065 eval-mlogloss:0.478419
[472] train-mlogloss:0.326827 eval-mlogloss:0.478321
[473] train-mlogloss:0.326545 eval-mlogloss:0.478284
[474] train-mlogloss:0.326225 eval-mlogloss:0.478180
[475] train-mlogloss:0.325955 eval-mlogloss:0.478016
[476] train-mlogloss:0.325693 eval-mlogloss:0.477925
[477] train-mlogloss:0.325345 eval-mlogloss:0.477826
[478] train-mlogloss:0.325042 eval-mlogloss:0.477771
[479] train-mlogloss:0.324792 eval-mlogloss:0.477650
[480] train-mlogloss:0.324519 eval-mlogloss:0.477547
[481] train-mlogloss:0.324167 eval-mlogloss:0.477393
[482] train-mlogloss:0.323818 eval-mlogloss:0.477316
[483] train-mlogloss:0.323560 eval-mlogloss:0.477213
[484] train-mlogloss:0.323240 eval-mlogloss:0.477084
[485] train-mlogloss:0.322885 eval-mlogloss:0.476974
[486] train-mlogloss:0.322545 eval-mlogloss:0.476829
[487] train-mlogloss:0.322233 eval-mlogloss:0.476651
[488] train-mlogloss:0.322004 eval-mlogloss:0.476595
[489] train-mlogloss:0.321725 eval-mlogloss:0.476473
[490] train-mlogloss:0.321503 eval-mlogloss:0.476414
[491] train-mlogloss:0.321170 eval-mlogloss:0.476260
[492] train-mlogloss:0.320893 eval-mlogloss:0.476214
[493] train-mlogloss:0.320501 eval-mlogloss:0.476129
[494] train-mlogloss:0.320211 eval-mlogloss:0.476048
[495] train-mlogloss:0.319997 eval-mlogloss:0.475975
[496] train-mlogloss:0.319854 eval-mlogloss:0.475921
[497] train-mlogloss:0.319557 eval-mlogloss:0.475844
[498] train-mlogloss:0.319315 eval-mlogloss:0.475760
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 6.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.5}
Score 0.4757166306073737
[499] train-mlogloss:0.319027 eval-mlogloss:0.475717
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.754795 eval-mlogloss:1.771647
[1] train-mlogloss:1.501665 eval-mlogloss:1.529303
[2] train-mlogloss:1.325505 eval-mlogloss:1.360674
[3] train-mlogloss:1.194177 eval-mlogloss:1.235836
[4] train-mlogloss:1.093819 eval-mlogloss:1.140893
[5] train-mlogloss:1.007493 eval-mlogloss:1.058717
[6] train-mlogloss:0.933298 eval-mlogloss:0.989887
[7] train-mlogloss:0.875533 eval-mlogloss:0.937211
[8] train-mlogloss:0.821801 eval-mlogloss:0.888620
[9] train-mlogloss:0.775639 eval-mlogloss:0.846473
[10] train-mlogloss:0.735491 eval-mlogloss:0.810676
[11] train-mlogloss:0.699993 eval-mlogloss:0.779347
[12] train-mlogloss:0.671625 eval-mlogloss:0.754786
[13] train-mlogloss:0.642765 eval-mlogloss:0.729859
[14] train-mlogloss:0.617825 eval-mlogloss:0.708157
[15] train-mlogloss:0.595771 eval-mlogloss:0.689062
[16] train-mlogloss:0.576393 eval-mlogloss:0.673167
[17] train-mlogloss:0.558639 eval-mlogloss:0.658434
[18] train-mlogloss:0.541157 eval-mlogloss:0.644242
[19] train-mlogloss:0.524623 eval-mlogloss:0.630941
[20] train-mlogloss:0.511342 eval-mlogloss:0.621334
[21] train-mlogloss:0.498507 eval-mlogloss:0.611131
[22] train-mlogloss:0.486656 eval-mlogloss:0.602301
[23] train-mlogloss:0.476903 eval-mlogloss:0.594139
[24] train-mlogloss:0.466474 eval-mlogloss:0.586841
[25] train-mlogloss:0.458055 eval-mlogloss:0.581409
[26] train-mlogloss:0.448570 eval-mlogloss:0.575003
[27] train-mlogloss:0.441586 eval-mlogloss:0.569746
[28] train-mlogloss:0.433598 eval-mlogloss:0.564102
[29] train-mlogloss:0.426795 eval-mlogloss:0.559623
[30] train-mlogloss:0.420072 eval-mlogloss:0.554899
[31] train-mlogloss:0.413344 eval-mlogloss:0.550424
[32] train-mlogloss:0.407526 eval-mlogloss:0.546184
[33] train-mlogloss:0.402149 eval-mlogloss:0.542759
[34] train-mlogloss:0.395405 eval-mlogloss:0.538729
[35] train-mlogloss:0.389860 eval-mlogloss:0.535527
[36] train-mlogloss:0.385073 eval-mlogloss:0.532810
[37] train-mlogloss:0.380512 eval-mlogloss:0.530469
[38] train-mlogloss:0.376231 eval-mlogloss:0.528142
[39] train-mlogloss:0.372978 eval-mlogloss:0.526073
[40] train-mlogloss:0.369052 eval-mlogloss:0.523768
[41] train-mlogloss:0.365409 eval-mlogloss:0.521798
[42] train-mlogloss:0.361549 eval-mlogloss:0.519956
[43] train-mlogloss:0.358105 eval-mlogloss:0.517692
[44] train-mlogloss:0.353978 eval-mlogloss:0.515749
[45] train-mlogloss:0.350252 eval-mlogloss:0.513871
[46] train-mlogloss:0.346531 eval-mlogloss:0.512316
[47] train-mlogloss:0.343574 eval-mlogloss:0.510472
[48] train-mlogloss:0.340904 eval-mlogloss:0.509305
[49] train-mlogloss:0.338578 eval-mlogloss:0.507936
[50] train-mlogloss:0.336668 eval-mlogloss:0.506850
[51] train-mlogloss:0.332351 eval-mlogloss:0.505199
[52] train-mlogloss:0.328914 eval-mlogloss:0.503862
[53] train-mlogloss:0.326186 eval-mlogloss:0.502243
[54] train-mlogloss:0.323031 eval-mlogloss:0.500794
[55] train-mlogloss:0.320456 eval-mlogloss:0.499610
[56] train-mlogloss:0.317737 eval-mlogloss:0.498472
[57] train-mlogloss:0.315084 eval-mlogloss:0.497261
[58] train-mlogloss:0.312279 eval-mlogloss:0.496421
[59] train-mlogloss:0.309392 eval-mlogloss:0.495445
[60] train-mlogloss:0.306456 eval-mlogloss:0.494346
[61] train-mlogloss:0.304282 eval-mlogloss:0.493287
[62] train-mlogloss:0.302221 eval-mlogloss:0.492604
[63] train-mlogloss:0.300263 eval-mlogloss:0.491688
[64] train-mlogloss:0.298021 eval-mlogloss:0.490645
[65] train-mlogloss:0.295553 eval-mlogloss:0.489845
[66] train-mlogloss:0.293451 eval-mlogloss:0.488756
[67] train-mlogloss:0.291134 eval-mlogloss:0.488022
[68] train-mlogloss:0.288955 eval-mlogloss:0.487228
[69] train-mlogloss:0.286604 eval-mlogloss:0.486287
[70] train-mlogloss:0.284871 eval-mlogloss:0.485786
[71] train-mlogloss:0.283403 eval-mlogloss:0.485467
[72] train-mlogloss:0.281948 eval-mlogloss:0.484882
[73] train-mlogloss:0.280449 eval-mlogloss:0.484495
[74] train-mlogloss:0.278349 eval-mlogloss:0.483836
[75] train-mlogloss:0.277133 eval-mlogloss:0.483197
[76] train-mlogloss:0.275438 eval-mlogloss:0.482809
[77] train-mlogloss:0.273508 eval-mlogloss:0.482061
[78] train-mlogloss:0.271244 eval-mlogloss:0.481204
[79] train-mlogloss:0.269810 eval-mlogloss:0.480722
[80] train-mlogloss:0.267913 eval-mlogloss:0.480204
[81] train-mlogloss:0.266283 eval-mlogloss:0.479783
[82] train-mlogloss:0.265188 eval-mlogloss:0.479509
[83] train-mlogloss:0.263388 eval-mlogloss:0.479179
[84] train-mlogloss:0.261188 eval-mlogloss:0.478506
[85] train-mlogloss:0.259807 eval-mlogloss:0.478119
[86] train-mlogloss:0.258559 eval-mlogloss:0.477669
[87] train-mlogloss:0.257355 eval-mlogloss:0.477379
[88] train-mlogloss:0.256117 eval-mlogloss:0.477126
[89] train-mlogloss:0.253982 eval-mlogloss:0.476417
[90] train-mlogloss:0.252809 eval-mlogloss:0.476138
[91] train-mlogloss:0.250922 eval-mlogloss:0.475627
[92] train-mlogloss:0.249287 eval-mlogloss:0.474757
[93] train-mlogloss:0.248247 eval-mlogloss:0.474198
[94] train-mlogloss:0.246659 eval-mlogloss:0.473847
[95] train-mlogloss:0.245138 eval-mlogloss:0.473523
[96] train-mlogloss:0.243844 eval-mlogloss:0.473368
[97] train-mlogloss:0.242617 eval-mlogloss:0.473024
[98] train-mlogloss:0.241256 eval-mlogloss:0.472719
[99] train-mlogloss:0.240299 eval-mlogloss:0.472426
[100] train-mlogloss:0.238875 eval-mlogloss:0.472245
[101] train-mlogloss:0.237658 eval-mlogloss:0.472001
[102] train-mlogloss:0.236199 eval-mlogloss:0.471881
[103] train-mlogloss:0.234954 eval-mlogloss:0.471661
[104] train-mlogloss:0.233802 eval-mlogloss:0.471579
[105] train-mlogloss:0.232227 eval-mlogloss:0.471332
[106] train-mlogloss:0.231123 eval-mlogloss:0.471179
[107] train-mlogloss:0.229855 eval-mlogloss:0.470867
[108] train-mlogloss:0.228827 eval-mlogloss:0.470675
[109] train-mlogloss:0.228025 eval-mlogloss:0.470708
[110] train-mlogloss:0.227201 eval-mlogloss:0.470537
[111] train-mlogloss:0.226251 eval-mlogloss:0.470281
[112] train-mlogloss:0.224958 eval-mlogloss:0.469885
[113] train-mlogloss:0.223897 eval-mlogloss:0.469614
[114] train-mlogloss:0.222883 eval-mlogloss:0.469614
[115] train-mlogloss:0.221958 eval-mlogloss:0.469383
[116] train-mlogloss:0.220957 eval-mlogloss:0.469184
[117] train-mlogloss:0.220165 eval-mlogloss:0.468849
[118] train-mlogloss:0.219061 eval-mlogloss:0.468749
[119] train-mlogloss:0.218133 eval-mlogloss:0.468430
[120] train-mlogloss:0.217023 eval-mlogloss:0.468294
[121] train-mlogloss:0.215839 eval-mlogloss:0.468146
[122] train-mlogloss:0.215106 eval-mlogloss:0.468098
[123] train-mlogloss:0.214010 eval-mlogloss:0.467804
[124] train-mlogloss:0.212793 eval-mlogloss:0.467585
[125] train-mlogloss:0.211919 eval-mlogloss:0.467450
[126] train-mlogloss:0.211066 eval-mlogloss:0.467271
[127] train-mlogloss:0.210319 eval-mlogloss:0.467193
[128] train-mlogloss:0.209510 eval-mlogloss:0.467075
[129] train-mlogloss:0.208753 eval-mlogloss:0.466927
[130] train-mlogloss:0.207936 eval-mlogloss:0.466871
[131] train-mlogloss:0.206968 eval-mlogloss:0.466749
[132] train-mlogloss:0.205820 eval-mlogloss:0.466562
[133] train-mlogloss:0.205222 eval-mlogloss:0.466531
[134] train-mlogloss:0.204298 eval-mlogloss:0.466418
[135] train-mlogloss:0.203375 eval-mlogloss:0.466267
[136] train-mlogloss:0.202539 eval-mlogloss:0.466173
[137] train-mlogloss:0.201530 eval-mlogloss:0.465900
[138] train-mlogloss:0.200721 eval-mlogloss:0.465848
[139] train-mlogloss:0.199969 eval-mlogloss:0.465551
[140] train-mlogloss:0.199025 eval-mlogloss:0.465373
[141] train-mlogloss:0.197938 eval-mlogloss:0.465464
[142] train-mlogloss:0.197000 eval-mlogloss:0.465232
[143] train-mlogloss:0.196181 eval-mlogloss:0.465218
[144] train-mlogloss:0.195385 eval-mlogloss:0.465080
[145] train-mlogloss:0.194511 eval-mlogloss:0.464912
[146] train-mlogloss:0.193760 eval-mlogloss:0.464941
[147] train-mlogloss:0.192991 eval-mlogloss:0.464784
[148] train-mlogloss:0.192107 eval-mlogloss:0.464645
[149] train-mlogloss:0.191383 eval-mlogloss:0.464573
[150] train-mlogloss:0.190289 eval-mlogloss:0.464598
[151] train-mlogloss:0.189770 eval-mlogloss:0.464614
[152] train-mlogloss:0.188908 eval-mlogloss:0.464458
[153] train-mlogloss:0.188102 eval-mlogloss:0.464224
[154] train-mlogloss:0.187410 eval-mlogloss:0.463958
[155] train-mlogloss:0.186750 eval-mlogloss:0.463833
[156] train-mlogloss:0.185634 eval-mlogloss:0.463618
[157] train-mlogloss:0.184808 eval-mlogloss:0.463412
[158] train-mlogloss:0.184084 eval-mlogloss:0.463376
[159] train-mlogloss:0.183447 eval-mlogloss:0.463066
[160] train-mlogloss:0.182953 eval-mlogloss:0.463129
[161] train-mlogloss:0.182261 eval-mlogloss:0.463163
[162] train-mlogloss:0.181552 eval-mlogloss:0.463046
[163] train-mlogloss:0.180669 eval-mlogloss:0.462943
[164] train-mlogloss:0.180072 eval-mlogloss:0.462939
[165] train-mlogloss:0.179429 eval-mlogloss:0.462884
[166] train-mlogloss:0.178775 eval-mlogloss:0.462822
[167] train-mlogloss:0.178342 eval-mlogloss:0.462779
[168] train-mlogloss:0.177614 eval-mlogloss:0.462695
[169] train-mlogloss:0.177082 eval-mlogloss:0.462895
[170] train-mlogloss:0.176179 eval-mlogloss:0.463069
[171] train-mlogloss:0.175463 eval-mlogloss:0.463202
[172] train-mlogloss:0.174722 eval-mlogloss:0.463116
[173] train-mlogloss:0.173840 eval-mlogloss:0.463138
[174] train-mlogloss:0.173382 eval-mlogloss:0.463128
[175] train-mlogloss:0.172782 eval-mlogloss:0.463093
[176] train-mlogloss:0.172196 eval-mlogloss:0.463043
[177] train-mlogloss:0.171733 eval-mlogloss:0.462858
Training with params :
{'eta': 0.2, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 8.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.4628691525928254
[178] train-mlogloss:0.171224 eval-mlogloss:0.462869
Stopping. Best iteration:
[168] train-mlogloss:0.177614 eval-mlogloss:0.462695
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.038994 eval-mlogloss:2.041418
[1] train-mlogloss:1.912680 eval-mlogloss:1.915291
[2] train-mlogloss:1.806171 eval-mlogloss:1.809917
[3] train-mlogloss:1.715698 eval-mlogloss:1.720855
[4] train-mlogloss:1.637358 eval-mlogloss:1.643382
[5] train-mlogloss:1.564463 eval-mlogloss:1.571699
[6] train-mlogloss:1.505375 eval-mlogloss:1.514039
[7] train-mlogloss:1.443479 eval-mlogloss:1.452996
[8] train-mlogloss:1.388579 eval-mlogloss:1.399105
[9] train-mlogloss:1.341322 eval-mlogloss:1.352739
[10] train-mlogloss:1.294358 eval-mlogloss:1.306678
[11] train-mlogloss:1.253458 eval-mlogloss:1.266675
[12] train-mlogloss:1.212178 eval-mlogloss:1.226423
[13] train-mlogloss:1.177450 eval-mlogloss:1.192683
[14] train-mlogloss:1.144638 eval-mlogloss:1.160975
[15] train-mlogloss:1.114891 eval-mlogloss:1.132051
[16] train-mlogloss:1.084606 eval-mlogloss:1.102947
[17] train-mlogloss:1.057590 eval-mlogloss:1.076873
[18] train-mlogloss:1.031026 eval-mlogloss:1.050830
[19] train-mlogloss:1.008251 eval-mlogloss:1.028762
[20] train-mlogloss:0.984282 eval-mlogloss:1.005707
[21] train-mlogloss:0.962981 eval-mlogloss:0.985393
[22] train-mlogloss:0.941999 eval-mlogloss:0.965330
[23] train-mlogloss:0.922191 eval-mlogloss:0.946480
[24] train-mlogloss:0.903450 eval-mlogloss:0.928522
[25] train-mlogloss:0.885962 eval-mlogloss:0.911948
[26] train-mlogloss:0.869142 eval-mlogloss:0.896050
[27] train-mlogloss:0.854015 eval-mlogloss:0.881612
[28] train-mlogloss:0.839020 eval-mlogloss:0.867487
[29] train-mlogloss:0.824861 eval-mlogloss:0.854166
[30] train-mlogloss:0.811612 eval-mlogloss:0.841824
[31] train-mlogloss:0.798529 eval-mlogloss:0.829552
[32] train-mlogloss:0.787336 eval-mlogloss:0.819103
[33] train-mlogloss:0.775671 eval-mlogloss:0.808032
[34] train-mlogloss:0.764291 eval-mlogloss:0.797379
[35] train-mlogloss:0.753760 eval-mlogloss:0.787645
[36] train-mlogloss:0.744316 eval-mlogloss:0.778831
[37] train-mlogloss:0.735317 eval-mlogloss:0.770540
[38] train-mlogloss:0.726268 eval-mlogloss:0.762383
[39] train-mlogloss:0.717528 eval-mlogloss:0.754405
[40] train-mlogloss:0.709414 eval-mlogloss:0.746860
[41] train-mlogloss:0.701586 eval-mlogloss:0.739758
[42] train-mlogloss:0.693858 eval-mlogloss:0.732656
[43] train-mlogloss:0.686881 eval-mlogloss:0.726264
[44] train-mlogloss:0.679275 eval-mlogloss:0.719261
[45] train-mlogloss:0.672526 eval-mlogloss:0.713152
[46] train-mlogloss:0.665534 eval-mlogloss:0.706713
[47] train-mlogloss:0.659798 eval-mlogloss:0.701569
[48] train-mlogloss:0.653366 eval-mlogloss:0.695786
[49] train-mlogloss:0.647645 eval-mlogloss:0.690757
[50] train-mlogloss:0.641880 eval-mlogloss:0.685662
[51] train-mlogloss:0.636423 eval-mlogloss:0.680822
[52] train-mlogloss:0.631137 eval-mlogloss:0.676187
[53] train-mlogloss:0.625919 eval-mlogloss:0.671552
[54] train-mlogloss:0.621363 eval-mlogloss:0.667658
[55] train-mlogloss:0.616335 eval-mlogloss:0.663262
[56] train-mlogloss:0.611319 eval-mlogloss:0.658950
[57] train-mlogloss:0.606553 eval-mlogloss:0.654804
[58] train-mlogloss:0.601874 eval-mlogloss:0.650827
[59] train-mlogloss:0.597574 eval-mlogloss:0.647064
[60] train-mlogloss:0.592928 eval-mlogloss:0.643279
[61] train-mlogloss:0.588899 eval-mlogloss:0.640017
[62] train-mlogloss:0.585495 eval-mlogloss:0.637137
[63] train-mlogloss:0.581782 eval-mlogloss:0.634034
[64] train-mlogloss:0.578191 eval-mlogloss:0.631035
[65] train-mlogloss:0.574782 eval-mlogloss:0.628123
[66] train-mlogloss:0.571414 eval-mlogloss:0.625433
[67] train-mlogloss:0.568200 eval-mlogloss:0.622698
[68] train-mlogloss:0.564910 eval-mlogloss:0.619918
[69] train-mlogloss:0.561842 eval-mlogloss:0.617390
[70] train-mlogloss:0.558400 eval-mlogloss:0.614665
[71] train-mlogloss:0.555594 eval-mlogloss:0.612484
[72] train-mlogloss:0.552699 eval-mlogloss:0.610058
[73] train-mlogloss:0.550218 eval-mlogloss:0.608026
[74] train-mlogloss:0.547513 eval-mlogloss:0.605958
[75] train-mlogloss:0.544631 eval-mlogloss:0.603454
[76] train-mlogloss:0.542324 eval-mlogloss:0.601668
[77] train-mlogloss:0.539452 eval-mlogloss:0.599221
[78] train-mlogloss:0.536786 eval-mlogloss:0.597012
[79] train-mlogloss:0.534184 eval-mlogloss:0.594808
[80] train-mlogloss:0.531596 eval-mlogloss:0.592694
[81] train-mlogloss:0.529107 eval-mlogloss:0.590669
[82] train-mlogloss:0.526438 eval-mlogloss:0.588550
[83] train-mlogloss:0.524285 eval-mlogloss:0.586961
[84] train-mlogloss:0.521929 eval-mlogloss:0.585128
[85] train-mlogloss:0.519625 eval-mlogloss:0.583289
[86] train-mlogloss:0.517804 eval-mlogloss:0.581864
[87] train-mlogloss:0.515470 eval-mlogloss:0.580135
[88] train-mlogloss:0.513400 eval-mlogloss:0.578587
[89] train-mlogloss:0.511594 eval-mlogloss:0.577228
[90] train-mlogloss:0.509312 eval-mlogloss:0.575494
[91] train-mlogloss:0.507425 eval-mlogloss:0.573963
[92] train-mlogloss:0.505540 eval-mlogloss:0.572482
[93] train-mlogloss:0.503754 eval-mlogloss:0.571118
[94] train-mlogloss:0.501716 eval-mlogloss:0.569501
[95] train-mlogloss:0.500338 eval-mlogloss:0.568388
[96] train-mlogloss:0.498867 eval-mlogloss:0.567149
[97] train-mlogloss:0.497057 eval-mlogloss:0.565893
[98] train-mlogloss:0.495397 eval-mlogloss:0.564801
[99] train-mlogloss:0.493570 eval-mlogloss:0.563469
[100] train-mlogloss:0.491695 eval-mlogloss:0.562118
[101] train-mlogloss:0.490006 eval-mlogloss:0.560960
[102] train-mlogloss:0.488403 eval-mlogloss:0.559977
[103] train-mlogloss:0.486958 eval-mlogloss:0.558964
[104] train-mlogloss:0.485562 eval-mlogloss:0.557872
[105] train-mlogloss:0.484164 eval-mlogloss:0.556813
[106] train-mlogloss:0.482650 eval-mlogloss:0.555798
[107] train-mlogloss:0.481086 eval-mlogloss:0.554641
[108] train-mlogloss:0.479684 eval-mlogloss:0.553553
[109] train-mlogloss:0.478077 eval-mlogloss:0.552470
[110] train-mlogloss:0.476694 eval-mlogloss:0.551570
[111] train-mlogloss:0.475217 eval-mlogloss:0.550524
[112] train-mlogloss:0.473711 eval-mlogloss:0.549510
[113] train-mlogloss:0.472316 eval-mlogloss:0.548638
[114] train-mlogloss:0.470691 eval-mlogloss:0.547488
[115] train-mlogloss:0.469176 eval-mlogloss:0.546472
[116] train-mlogloss:0.467837 eval-mlogloss:0.545674
[117] train-mlogloss:0.466288 eval-mlogloss:0.544605
[118] train-mlogloss:0.464959 eval-mlogloss:0.543745
[119] train-mlogloss:0.463480 eval-mlogloss:0.542830
[120] train-mlogloss:0.462159 eval-mlogloss:0.542058
[121] train-mlogloss:0.460998 eval-mlogloss:0.541284
[122] train-mlogloss:0.459635 eval-mlogloss:0.540298
[123] train-mlogloss:0.458422 eval-mlogloss:0.539655
[124] train-mlogloss:0.457057 eval-mlogloss:0.538749
[125] train-mlogloss:0.455647 eval-mlogloss:0.537916
[126] train-mlogloss:0.454410 eval-mlogloss:0.537196
[127] train-mlogloss:0.453104 eval-mlogloss:0.536377
[128] train-mlogloss:0.452020 eval-mlogloss:0.535709
[129] train-mlogloss:0.450920 eval-mlogloss:0.535182
[130] train-mlogloss:0.449925 eval-mlogloss:0.534480
[131] train-mlogloss:0.448792 eval-mlogloss:0.533765
[132] train-mlogloss:0.447689 eval-mlogloss:0.533059
[133] train-mlogloss:0.446527 eval-mlogloss:0.532353
[134] train-mlogloss:0.445118 eval-mlogloss:0.531573
[135] train-mlogloss:0.444134 eval-mlogloss:0.530977
[136] train-mlogloss:0.443041 eval-mlogloss:0.530279
[137] train-mlogloss:0.441948 eval-mlogloss:0.529495
[138] train-mlogloss:0.440865 eval-mlogloss:0.528906
[139] train-mlogloss:0.439867 eval-mlogloss:0.528187
[140] train-mlogloss:0.438904 eval-mlogloss:0.527710
[141] train-mlogloss:0.437981 eval-mlogloss:0.527126
[142] train-mlogloss:0.436955 eval-mlogloss:0.526537
[143] train-mlogloss:0.435984 eval-mlogloss:0.525958
[144] train-mlogloss:0.434781 eval-mlogloss:0.525348
[145] train-mlogloss:0.433889 eval-mlogloss:0.524859
[146] train-mlogloss:0.432771 eval-mlogloss:0.524219
[147] train-mlogloss:0.431665 eval-mlogloss:0.523618
[148] train-mlogloss:0.430833 eval-mlogloss:0.523114
[149] train-mlogloss:0.429841 eval-mlogloss:0.522525
[150] train-mlogloss:0.428722 eval-mlogloss:0.521909
[151] train-mlogloss:0.427680 eval-mlogloss:0.521243
[152] train-mlogloss:0.426772 eval-mlogloss:0.520678
[153] train-mlogloss:0.426072 eval-mlogloss:0.520168
[154] train-mlogloss:0.425272 eval-mlogloss:0.519753
[155] train-mlogloss:0.424281 eval-mlogloss:0.519155
[156] train-mlogloss:0.423436 eval-mlogloss:0.518765
[157] train-mlogloss:0.422510 eval-mlogloss:0.518240
[158] train-mlogloss:0.421595 eval-mlogloss:0.517683
[159] train-mlogloss:0.420366 eval-mlogloss:0.517058
[160] train-mlogloss:0.419396 eval-mlogloss:0.516565
[161] train-mlogloss:0.418475 eval-mlogloss:0.516140
[162] train-mlogloss:0.417657 eval-mlogloss:0.515737
[163] train-mlogloss:0.416604 eval-mlogloss:0.515178
[164] train-mlogloss:0.415733 eval-mlogloss:0.514808
[165] train-mlogloss:0.414813 eval-mlogloss:0.514293
[166] train-mlogloss:0.414075 eval-mlogloss:0.513892
[167] train-mlogloss:0.413191 eval-mlogloss:0.513445
[168] train-mlogloss:0.412235 eval-mlogloss:0.513038
[169] train-mlogloss:0.411251 eval-mlogloss:0.512603
[170] train-mlogloss:0.410336 eval-mlogloss:0.512152
[171] train-mlogloss:0.409354 eval-mlogloss:0.511592
[172] train-mlogloss:0.408423 eval-mlogloss:0.511081
[173] train-mlogloss:0.407554 eval-mlogloss:0.510576
[174] train-mlogloss:0.406714 eval-mlogloss:0.510124
[175] train-mlogloss:0.405712 eval-mlogloss:0.509631
[176] train-mlogloss:0.404858 eval-mlogloss:0.509195
[177] train-mlogloss:0.404190 eval-mlogloss:0.508796
[178] train-mlogloss:0.403256 eval-mlogloss:0.508400
[179] train-mlogloss:0.402570 eval-mlogloss:0.508011
[180] train-mlogloss:0.401823 eval-mlogloss:0.507575
[181] train-mlogloss:0.401018 eval-mlogloss:0.507282
[182] train-mlogloss:0.400256 eval-mlogloss:0.506922
[183] train-mlogloss:0.399347 eval-mlogloss:0.506553
[184] train-mlogloss:0.398561 eval-mlogloss:0.506137
[185] train-mlogloss:0.397776 eval-mlogloss:0.505860
[186] train-mlogloss:0.396875 eval-mlogloss:0.505350
[187] train-mlogloss:0.396083 eval-mlogloss:0.504952
[188] train-mlogloss:0.395225 eval-mlogloss:0.504603
[189] train-mlogloss:0.394560 eval-mlogloss:0.504263
[190] train-mlogloss:0.393813 eval-mlogloss:0.503866
[191] train-mlogloss:0.393188 eval-mlogloss:0.503622
[192] train-mlogloss:0.392276 eval-mlogloss:0.503119
[193] train-mlogloss:0.391705 eval-mlogloss:0.502833
[194] train-mlogloss:0.390880 eval-mlogloss:0.502465
[195] train-mlogloss:0.390207 eval-mlogloss:0.502208
[196] train-mlogloss:0.389336 eval-mlogloss:0.501737
[197] train-mlogloss:0.388596 eval-mlogloss:0.501350
[198] train-mlogloss:0.388061 eval-mlogloss:0.501053
[199] train-mlogloss:0.387361 eval-mlogloss:0.500697
[200] train-mlogloss:0.386557 eval-mlogloss:0.500275
[201] train-mlogloss:0.385931 eval-mlogloss:0.499986
[202] train-mlogloss:0.385083 eval-mlogloss:0.499644
[203] train-mlogloss:0.384377 eval-mlogloss:0.499352
[204] train-mlogloss:0.383696 eval-mlogloss:0.499090
[205] train-mlogloss:0.382896 eval-mlogloss:0.498654
[206] train-mlogloss:0.382338 eval-mlogloss:0.498359
[207] train-mlogloss:0.381607 eval-mlogloss:0.497902
[208] train-mlogloss:0.380778 eval-mlogloss:0.497451
[209] train-mlogloss:0.380037 eval-mlogloss:0.497118
[210] train-mlogloss:0.379312 eval-mlogloss:0.496776
[211] train-mlogloss:0.378593 eval-mlogloss:0.496403
[212] train-mlogloss:0.377965 eval-mlogloss:0.496164
[213] train-mlogloss:0.377230 eval-mlogloss:0.495871
[214] train-mlogloss:0.376595 eval-mlogloss:0.495466
[215] train-mlogloss:0.375933 eval-mlogloss:0.495133
[216] train-mlogloss:0.375276 eval-mlogloss:0.494844
[217] train-mlogloss:0.374478 eval-mlogloss:0.494415
[218] train-mlogloss:0.373849 eval-mlogloss:0.494160
[219] train-mlogloss:0.373143 eval-mlogloss:0.493856
[220] train-mlogloss:0.372503 eval-mlogloss:0.493585
[221] train-mlogloss:0.372046 eval-mlogloss:0.493364
[222] train-mlogloss:0.371411 eval-mlogloss:0.493014
[223] train-mlogloss:0.370803 eval-mlogloss:0.492858
[224] train-mlogloss:0.370322 eval-mlogloss:0.492587
[225] train-mlogloss:0.369673 eval-mlogloss:0.492291
[226] train-mlogloss:0.369028 eval-mlogloss:0.492076
[227] train-mlogloss:0.368314 eval-mlogloss:0.491818
[228] train-mlogloss:0.367593 eval-mlogloss:0.491496
[229] train-mlogloss:0.367078 eval-mlogloss:0.491272
[230] train-mlogloss:0.366484 eval-mlogloss:0.490954
[231] train-mlogloss:0.365779 eval-mlogloss:0.490795
[232] train-mlogloss:0.365320 eval-mlogloss:0.490620
[233] train-mlogloss:0.364740 eval-mlogloss:0.490266
[234] train-mlogloss:0.364203 eval-mlogloss:0.490043
[235] train-mlogloss:0.363465 eval-mlogloss:0.489792
[236] train-mlogloss:0.362961 eval-mlogloss:0.489593
[237] train-mlogloss:0.362280 eval-mlogloss:0.489209
[238] train-mlogloss:0.361624 eval-mlogloss:0.488957
[239] train-mlogloss:0.361016 eval-mlogloss:0.488722
[240] train-mlogloss:0.360414 eval-mlogloss:0.488449
[241] train-mlogloss:0.359901 eval-mlogloss:0.488171
[242] train-mlogloss:0.359438 eval-mlogloss:0.487994
[243] train-mlogloss:0.358759 eval-mlogloss:0.487734
[244] train-mlogloss:0.358216 eval-mlogloss:0.487528
[245] train-mlogloss:0.357788 eval-mlogloss:0.487286
[246] train-mlogloss:0.357144 eval-mlogloss:0.487133
[247] train-mlogloss:0.356546 eval-mlogloss:0.486889
[248] train-mlogloss:0.355903 eval-mlogloss:0.486709
[249] train-mlogloss:0.355236 eval-mlogloss:0.486357
[250] train-mlogloss:0.354666 eval-mlogloss:0.486202
[251] train-mlogloss:0.354201 eval-mlogloss:0.486073
[252] train-mlogloss:0.353696 eval-mlogloss:0.485858
[253] train-mlogloss:0.353116 eval-mlogloss:0.485631
[254] train-mlogloss:0.352454 eval-mlogloss:0.485436
[255] train-mlogloss:0.351881 eval-mlogloss:0.485159
[256] train-mlogloss:0.351229 eval-mlogloss:0.484958
[257] train-mlogloss:0.350677 eval-mlogloss:0.484720
[258] train-mlogloss:0.350009 eval-mlogloss:0.484379
[259] train-mlogloss:0.349321 eval-mlogloss:0.484121
[260] train-mlogloss:0.348845 eval-mlogloss:0.483911
[261] train-mlogloss:0.348215 eval-mlogloss:0.483675
[262] train-mlogloss:0.347692 eval-mlogloss:0.483525
[263] train-mlogloss:0.347008 eval-mlogloss:0.483221
[264] train-mlogloss:0.346381 eval-mlogloss:0.483018
[265] train-mlogloss:0.345658 eval-mlogloss:0.482812
[266] train-mlogloss:0.344926 eval-mlogloss:0.482629
[267] train-mlogloss:0.344514 eval-mlogloss:0.482598
[268] train-mlogloss:0.344171 eval-mlogloss:0.482476
[269] train-mlogloss:0.343569 eval-mlogloss:0.482306
[270] train-mlogloss:0.343138 eval-mlogloss:0.482184
[271] train-mlogloss:0.342486 eval-mlogloss:0.482034
[272] train-mlogloss:0.341865 eval-mlogloss:0.481798
[273] train-mlogloss:0.341361 eval-mlogloss:0.481629
[274] train-mlogloss:0.340786 eval-mlogloss:0.481412
[275] train-mlogloss:0.340296 eval-mlogloss:0.481241
[276] train-mlogloss:0.339806 eval-mlogloss:0.481053
[277] train-mlogloss:0.339360 eval-mlogloss:0.480874
[278] train-mlogloss:0.338936 eval-mlogloss:0.480727
[279] train-mlogloss:0.338203 eval-mlogloss:0.480545
[280] train-mlogloss:0.337629 eval-mlogloss:0.480390
[281] train-mlogloss:0.337161 eval-mlogloss:0.480189
[282] train-mlogloss:0.336699 eval-mlogloss:0.480066
[283] train-mlogloss:0.336233 eval-mlogloss:0.479967
[284] train-mlogloss:0.335662 eval-mlogloss:0.479778
[285] train-mlogloss:0.335167 eval-mlogloss:0.479611
[286] train-mlogloss:0.334733 eval-mlogloss:0.479434
[287] train-mlogloss:0.334179 eval-mlogloss:0.479267
[288] train-mlogloss:0.333615 eval-mlogloss:0.479081
[289] train-mlogloss:0.332993 eval-mlogloss:0.478924
[290] train-mlogloss:0.332261 eval-mlogloss:0.478602
[291] train-mlogloss:0.331686 eval-mlogloss:0.478439
[292] train-mlogloss:0.331157 eval-mlogloss:0.478282
[293] train-mlogloss:0.330647 eval-mlogloss:0.478010
[294] train-mlogloss:0.330150 eval-mlogloss:0.477786
[295] train-mlogloss:0.329631 eval-mlogloss:0.477645
[296] train-mlogloss:0.329220 eval-mlogloss:0.477534
[297] train-mlogloss:0.328733 eval-mlogloss:0.477372
[298] train-mlogloss:0.328268 eval-mlogloss:0.477194
[299] train-mlogloss:0.327821 eval-mlogloss:0.477045
[300] train-mlogloss:0.327161 eval-mlogloss:0.476790
[301] train-mlogloss:0.326670 eval-mlogloss:0.476662
[302] train-mlogloss:0.326302 eval-mlogloss:0.476492
[303] train-mlogloss:0.325955 eval-mlogloss:0.476447
[304] train-mlogloss:0.325499 eval-mlogloss:0.476292
[305] train-mlogloss:0.324949 eval-mlogloss:0.476197
[306] train-mlogloss:0.324542 eval-mlogloss:0.476150
[307] train-mlogloss:0.324006 eval-mlogloss:0.475994
[308] train-mlogloss:0.323589 eval-mlogloss:0.475879
[309] train-mlogloss:0.323102 eval-mlogloss:0.475708
[310] train-mlogloss:0.322494 eval-mlogloss:0.475488
[311] train-mlogloss:0.322026 eval-mlogloss:0.475286
[312] train-mlogloss:0.321505 eval-mlogloss:0.475075
[313] train-mlogloss:0.321123 eval-mlogloss:0.474935
[314] train-mlogloss:0.320640 eval-mlogloss:0.474779
[315] train-mlogloss:0.320266 eval-mlogloss:0.474737
[316] train-mlogloss:0.319800 eval-mlogloss:0.474677
[317] train-mlogloss:0.319350 eval-mlogloss:0.474557
[318] train-mlogloss:0.318765 eval-mlogloss:0.474415
[319] train-mlogloss:0.318467 eval-mlogloss:0.474330
[320] train-mlogloss:0.317971 eval-mlogloss:0.474234
[321] train-mlogloss:0.317407 eval-mlogloss:0.474105
[322] train-mlogloss:0.317037 eval-mlogloss:0.474019
[323] train-mlogloss:0.316458 eval-mlogloss:0.473880
[324] train-mlogloss:0.316011 eval-mlogloss:0.473701
[325] train-mlogloss:0.315565 eval-mlogloss:0.473602
[326] train-mlogloss:0.315097 eval-mlogloss:0.473520
[327] train-mlogloss:0.314649 eval-mlogloss:0.473376
[328] train-mlogloss:0.314157 eval-mlogloss:0.473258
[329] train-mlogloss:0.313729 eval-mlogloss:0.473165
[330] train-mlogloss:0.313211 eval-mlogloss:0.472994
[331] train-mlogloss:0.312728 eval-mlogloss:0.472902
[332] train-mlogloss:0.312324 eval-mlogloss:0.472721
[333] train-mlogloss:0.311952 eval-mlogloss:0.472573
[334] train-mlogloss:0.311540 eval-mlogloss:0.472388
[335] train-mlogloss:0.311051 eval-mlogloss:0.472188
[336] train-mlogloss:0.310609 eval-mlogloss:0.472170
[337] train-mlogloss:0.310107 eval-mlogloss:0.472164
[338] train-mlogloss:0.309676 eval-mlogloss:0.472060
[339] train-mlogloss:0.309308 eval-mlogloss:0.471902
[340] train-mlogloss:0.308881 eval-mlogloss:0.471844
[341] train-mlogloss:0.308534 eval-mlogloss:0.471733
[342] train-mlogloss:0.308006 eval-mlogloss:0.471607
[343] train-mlogloss:0.307703 eval-mlogloss:0.471535
[344] train-mlogloss:0.307200 eval-mlogloss:0.471411
[345] train-mlogloss:0.306684 eval-mlogloss:0.471279
[346] train-mlogloss:0.306239 eval-mlogloss:0.471104
[347] train-mlogloss:0.305794 eval-mlogloss:0.471002
[348] train-mlogloss:0.305462 eval-mlogloss:0.470923
[349] train-mlogloss:0.304859 eval-mlogloss:0.470735
[350] train-mlogloss:0.304373 eval-mlogloss:0.470520
[351] train-mlogloss:0.303958 eval-mlogloss:0.470416
[352] train-mlogloss:0.303624 eval-mlogloss:0.470326
[353] train-mlogloss:0.303262 eval-mlogloss:0.470240
[354] train-mlogloss:0.302764 eval-mlogloss:0.470155
[355] train-mlogloss:0.302186 eval-mlogloss:0.470084
[356] train-mlogloss:0.301759 eval-mlogloss:0.469961
[357] train-mlogloss:0.301433 eval-mlogloss:0.469854
[358] train-mlogloss:0.300908 eval-mlogloss:0.469633
[359] train-mlogloss:0.300514 eval-mlogloss:0.469586
[360] train-mlogloss:0.300096 eval-mlogloss:0.469480
[361] train-mlogloss:0.299508 eval-mlogloss:0.469443
[362] train-mlogloss:0.299028 eval-mlogloss:0.469330
[363] train-mlogloss:0.298605 eval-mlogloss:0.469246
[364] train-mlogloss:0.298265 eval-mlogloss:0.469144
[365] train-mlogloss:0.297926 eval-mlogloss:0.469017
[366] train-mlogloss:0.297567 eval-mlogloss:0.468830
[367] train-mlogloss:0.297258 eval-mlogloss:0.468736
[368] train-mlogloss:0.296837 eval-mlogloss:0.468707
[369] train-mlogloss:0.296480 eval-mlogloss:0.468648
[370] train-mlogloss:0.296089 eval-mlogloss:0.468564
[371] train-mlogloss:0.295697 eval-mlogloss:0.468524
[372] train-mlogloss:0.295397 eval-mlogloss:0.468431
[373] train-mlogloss:0.294850 eval-mlogloss:0.468276
[374] train-mlogloss:0.294312 eval-mlogloss:0.468171
[375] train-mlogloss:0.293969 eval-mlogloss:0.468089
[376] train-mlogloss:0.293512 eval-mlogloss:0.467906
[377] train-mlogloss:0.293173 eval-mlogloss:0.467836
[378] train-mlogloss:0.292714 eval-mlogloss:0.467665
[379] train-mlogloss:0.292342 eval-mlogloss:0.467575
[380] train-mlogloss:0.291848 eval-mlogloss:0.467536
[381] train-mlogloss:0.291506 eval-mlogloss:0.467434
[382] train-mlogloss:0.291090 eval-mlogloss:0.467363
[383] train-mlogloss:0.290684 eval-mlogloss:0.467318
[384] train-mlogloss:0.290357 eval-mlogloss:0.467262
[385] train-mlogloss:0.290044 eval-mlogloss:0.467326
[386] train-mlogloss:0.289642 eval-mlogloss:0.467151
[387] train-mlogloss:0.289266 eval-mlogloss:0.467045
[388] train-mlogloss:0.288936 eval-mlogloss:0.466917
[389] train-mlogloss:0.288624 eval-mlogloss:0.466908
[390] train-mlogloss:0.288206 eval-mlogloss:0.466805
[391] train-mlogloss:0.287850 eval-mlogloss:0.466657
[392] train-mlogloss:0.287585 eval-mlogloss:0.466568
[393] train-mlogloss:0.287179 eval-mlogloss:0.466452
[394] train-mlogloss:0.286810 eval-mlogloss:0.466364
[395] train-mlogloss:0.286445 eval-mlogloss:0.466384
[396] train-mlogloss:0.286088 eval-mlogloss:0.466374
[397] train-mlogloss:0.285707 eval-mlogloss:0.466272
[398] train-mlogloss:0.285208 eval-mlogloss:0.466158
[399] train-mlogloss:0.284936 eval-mlogloss:0.466140
[400] train-mlogloss:0.284561 eval-mlogloss:0.466027
[401] train-mlogloss:0.284193 eval-mlogloss:0.465894
[402] train-mlogloss:0.283902 eval-mlogloss:0.465775
[403] train-mlogloss:0.283510 eval-mlogloss:0.465655
[404] train-mlogloss:0.283182 eval-mlogloss:0.465572
[405] train-mlogloss:0.282785 eval-mlogloss:0.465451
[406] train-mlogloss:0.282410 eval-mlogloss:0.465292
[407] train-mlogloss:0.282051 eval-mlogloss:0.465251
[408] train-mlogloss:0.281750 eval-mlogloss:0.465199
[409] train-mlogloss:0.281494 eval-mlogloss:0.465097
[410] train-mlogloss:0.281150 eval-mlogloss:0.464959
[411] train-mlogloss:0.280795 eval-mlogloss:0.464934
[412] train-mlogloss:0.280513 eval-mlogloss:0.464863
[413] train-mlogloss:0.280151 eval-mlogloss:0.464737
[414] train-mlogloss:0.279772 eval-mlogloss:0.464650
[415] train-mlogloss:0.279418 eval-mlogloss:0.464631
[416] train-mlogloss:0.279081 eval-mlogloss:0.464599
[417] train-mlogloss:0.278756 eval-mlogloss:0.464519
[418] train-mlogloss:0.278324 eval-mlogloss:0.464435
[419] train-mlogloss:0.278056 eval-mlogloss:0.464323
[420] train-mlogloss:0.277759 eval-mlogloss:0.464245
[421] train-mlogloss:0.277285 eval-mlogloss:0.464096
[422] train-mlogloss:0.276760 eval-mlogloss:0.463918
[423] train-mlogloss:0.276251 eval-mlogloss:0.463766
[424] train-mlogloss:0.275880 eval-mlogloss:0.463679
[425] train-mlogloss:0.275607 eval-mlogloss:0.463668
[426] train-mlogloss:0.275281 eval-mlogloss:0.463651
[427] train-mlogloss:0.274815 eval-mlogloss:0.463524
[428] train-mlogloss:0.274494 eval-mlogloss:0.463528
[429] train-mlogloss:0.274198 eval-mlogloss:0.463493
[430] train-mlogloss:0.273877 eval-mlogloss:0.463449
[431] train-mlogloss:0.273534 eval-mlogloss:0.463358
[432] train-mlogloss:0.273274 eval-mlogloss:0.463244
[433] train-mlogloss:0.272850 eval-mlogloss:0.463201
[434] train-mlogloss:0.272378 eval-mlogloss:0.463086
[435] train-mlogloss:0.272108 eval-mlogloss:0.463020
[436] train-mlogloss:0.271622 eval-mlogloss:0.462951
[437] train-mlogloss:0.271259 eval-mlogloss:0.462903
[438] train-mlogloss:0.270921 eval-mlogloss:0.462745
[439] train-mlogloss:0.270574 eval-mlogloss:0.462686
[440] train-mlogloss:0.270221 eval-mlogloss:0.462606
[441] train-mlogloss:0.269973 eval-mlogloss:0.462612
[442] train-mlogloss:0.269631 eval-mlogloss:0.462545
[443] train-mlogloss:0.269304 eval-mlogloss:0.462513
[444] train-mlogloss:0.268919 eval-mlogloss:0.462422
[445] train-mlogloss:0.268460 eval-mlogloss:0.462407
[446] train-mlogloss:0.268123 eval-mlogloss:0.462430
[447] train-mlogloss:0.267801 eval-mlogloss:0.462236
[448] train-mlogloss:0.267404 eval-mlogloss:0.462199
[449] train-mlogloss:0.267102 eval-mlogloss:0.462202
[450] train-mlogloss:0.266655 eval-mlogloss:0.462108
[451] train-mlogloss:0.266318 eval-mlogloss:0.461986
[452] train-mlogloss:0.265952 eval-mlogloss:0.461958
[453] train-mlogloss:0.265492 eval-mlogloss:0.461865
[454] train-mlogloss:0.265138 eval-mlogloss:0.461857
[455] train-mlogloss:0.264853 eval-mlogloss:0.461797
[456] train-mlogloss:0.264486 eval-mlogloss:0.461628
[457] train-mlogloss:0.264088 eval-mlogloss:0.461549
[458] train-mlogloss:0.263763 eval-mlogloss:0.461506
[459] train-mlogloss:0.263442 eval-mlogloss:0.461413
[460] train-mlogloss:0.263105 eval-mlogloss:0.461465
[461] train-mlogloss:0.262706 eval-mlogloss:0.461458
[462] train-mlogloss:0.262449 eval-mlogloss:0.461399
[463] train-mlogloss:0.262147 eval-mlogloss:0.461360
[464] train-mlogloss:0.261949 eval-mlogloss:0.461335
[465] train-mlogloss:0.261546 eval-mlogloss:0.461326
[466] train-mlogloss:0.261239 eval-mlogloss:0.461243
[467] train-mlogloss:0.260888 eval-mlogloss:0.461120
[468] train-mlogloss:0.260534 eval-mlogloss:0.461086
[469] train-mlogloss:0.260231 eval-mlogloss:0.461060
[470] train-mlogloss:0.259891 eval-mlogloss:0.461020
[471] train-mlogloss:0.259629 eval-mlogloss:0.461068
[472] train-mlogloss:0.259325 eval-mlogloss:0.460988
[473] train-mlogloss:0.259095 eval-mlogloss:0.460939
[474] train-mlogloss:0.258775 eval-mlogloss:0.460853
[475] train-mlogloss:0.258415 eval-mlogloss:0.460718
[476] train-mlogloss:0.258162 eval-mlogloss:0.460592
[477] train-mlogloss:0.257758 eval-mlogloss:0.460532
[478] train-mlogloss:0.257431 eval-mlogloss:0.460424
[479] train-mlogloss:0.257184 eval-mlogloss:0.460381
[480] train-mlogloss:0.256900 eval-mlogloss:0.460345
[481] train-mlogloss:0.256518 eval-mlogloss:0.460245
[482] train-mlogloss:0.256182 eval-mlogloss:0.460225
[483] train-mlogloss:0.255764 eval-mlogloss:0.460153
[484] train-mlogloss:0.255477 eval-mlogloss:0.460095
[485] train-mlogloss:0.255227 eval-mlogloss:0.460112
[486] train-mlogloss:0.254971 eval-mlogloss:0.460053
[487] train-mlogloss:0.254550 eval-mlogloss:0.459911
[488] train-mlogloss:0.254233 eval-mlogloss:0.459843
[489] train-mlogloss:0.253896 eval-mlogloss:0.459810
[490] train-mlogloss:0.253551 eval-mlogloss:0.459718
[491] train-mlogloss:0.253240 eval-mlogloss:0.459650
[492] train-mlogloss:0.252853 eval-mlogloss:0.459597
[493] train-mlogloss:0.252544 eval-mlogloss:0.459564
[494] train-mlogloss:0.252270 eval-mlogloss:0.459441
[495] train-mlogloss:0.251881 eval-mlogloss:0.459423
[496] train-mlogloss:0.251587 eval-mlogloss:0.459403
[497] train-mlogloss:0.251313 eval-mlogloss:0.459316
[498] train-mlogloss:0.250945 eval-mlogloss:0.459304
[499] train-mlogloss:0.250589 eval-mlogloss:0.459260
Training with params :
{'eta': 0.07500000000000001, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.6000000000000001, 'max_depth': 6.0, 'silent': 1, 'subsample': 0.7000000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.55}
Score 0.4592602980976853
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.081270 eval-mlogloss:2.084383
[1] train-mlogloss:1.988549 eval-mlogloss:1.994797
[2] train-mlogloss:1.902021 eval-mlogloss:1.910800
[3] train-mlogloss:1.825448 eval-mlogloss:1.836190
[4] train-mlogloss:1.755602 eval-mlogloss:1.768311
[5] train-mlogloss:1.693509 eval-mlogloss:1.708467
[6] train-mlogloss:1.632484 eval-mlogloss:1.650011
[7] train-mlogloss:1.577468 eval-mlogloss:1.596981
[8] train-mlogloss:1.527752 eval-mlogloss:1.549779
[9] train-mlogloss:1.480394 eval-mlogloss:1.504139
[10] train-mlogloss:1.439370 eval-mlogloss:1.464703
[11] train-mlogloss:1.398617 eval-mlogloss:1.425913
[12] train-mlogloss:1.359301 eval-mlogloss:1.388071
[13] train-mlogloss:1.321905 eval-mlogloss:1.352366
[14] train-mlogloss:1.288072 eval-mlogloss:1.320057
[15] train-mlogloss:1.254250 eval-mlogloss:1.287577
[16] train-mlogloss:1.225440 eval-mlogloss:1.260171
[17] train-mlogloss:1.196679 eval-mlogloss:1.232757
[18] train-mlogloss:1.170785 eval-mlogloss:1.208337
[19] train-mlogloss:1.144269 eval-mlogloss:1.183544
[20] train-mlogloss:1.117998 eval-mlogloss:1.158866
[21] train-mlogloss:1.094346 eval-mlogloss:1.136478
[22] train-mlogloss:1.070914 eval-mlogloss:1.114211
[23] train-mlogloss:1.048137 eval-mlogloss:1.092882
[24] train-mlogloss:1.025957 eval-mlogloss:1.072089
[25] train-mlogloss:1.005571 eval-mlogloss:1.053021
[26] train-mlogloss:0.985929 eval-mlogloss:1.034459
[27] train-mlogloss:0.967727 eval-mlogloss:1.017374
[28] train-mlogloss:0.951442 eval-mlogloss:1.002455
[29] train-mlogloss:0.934083 eval-mlogloss:0.986278
[30] train-mlogloss:0.916935 eval-mlogloss:0.970169
[31] train-mlogloss:0.901246 eval-mlogloss:0.955735
[32] train-mlogloss:0.885970 eval-mlogloss:0.941405
[33] train-mlogloss:0.871608 eval-mlogloss:0.928256
[34] train-mlogloss:0.857384 eval-mlogloss:0.915201
[35] train-mlogloss:0.843880 eval-mlogloss:0.902667
[36] train-mlogloss:0.831294 eval-mlogloss:0.891072
[37] train-mlogloss:0.818060 eval-mlogloss:0.879149
[38] train-mlogloss:0.805637 eval-mlogloss:0.867803
[39] train-mlogloss:0.793918 eval-mlogloss:0.857014
[40] train-mlogloss:0.782112 eval-mlogloss:0.846344
[41] train-mlogloss:0.771728 eval-mlogloss:0.837056
[42] train-mlogloss:0.761104 eval-mlogloss:0.827470
[43] train-mlogloss:0.751365 eval-mlogloss:0.818763
[44] train-mlogloss:0.741912 eval-mlogloss:0.810372
[45] train-mlogloss:0.732022 eval-mlogloss:0.801416
[46] train-mlogloss:0.723037 eval-mlogloss:0.793343
[47] train-mlogloss:0.713662 eval-mlogloss:0.784992
[48] train-mlogloss:0.705256 eval-mlogloss:0.777721
[49] train-mlogloss:0.696893 eval-mlogloss:0.770246
[50] train-mlogloss:0.688475 eval-mlogloss:0.763023
[51] train-mlogloss:0.680865 eval-mlogloss:0.756241
[52] train-mlogloss:0.673037 eval-mlogloss:0.749518
[53] train-mlogloss:0.665126 eval-mlogloss:0.742557
[54] train-mlogloss:0.658846 eval-mlogloss:0.737021
[55] train-mlogloss:0.652141 eval-mlogloss:0.731146
[56] train-mlogloss:0.645089 eval-mlogloss:0.724990
[57] train-mlogloss:0.637753 eval-mlogloss:0.718710
[58] train-mlogloss:0.631252 eval-mlogloss:0.713292
[59] train-mlogloss:0.625324 eval-mlogloss:0.708074
[60] train-mlogloss:0.619350 eval-mlogloss:0.703114
[61] train-mlogloss:0.613320 eval-mlogloss:0.698049
[62] train-mlogloss:0.607693 eval-mlogloss:0.693287
[63] train-mlogloss:0.601691 eval-mlogloss:0.688212
[64] train-mlogloss:0.596281 eval-mlogloss:0.683581
[65] train-mlogloss:0.591137 eval-mlogloss:0.679196
[66] train-mlogloss:0.585514 eval-mlogloss:0.674383
[67] train-mlogloss:0.580801 eval-mlogloss:0.670435
[68] train-mlogloss:0.575770 eval-mlogloss:0.666329
[69] train-mlogloss:0.570657 eval-mlogloss:0.662044
[70] train-mlogloss:0.566158 eval-mlogloss:0.658346
[71] train-mlogloss:0.561767 eval-mlogloss:0.654732
[72] train-mlogloss:0.557435 eval-mlogloss:0.651184
[73] train-mlogloss:0.553226 eval-mlogloss:0.647584
[74] train-mlogloss:0.549284 eval-mlogloss:0.644301
[75] train-mlogloss:0.545063 eval-mlogloss:0.640940
[76] train-mlogloss:0.541136 eval-mlogloss:0.637745
[77] train-mlogloss:0.537466 eval-mlogloss:0.634874
[78] train-mlogloss:0.533305 eval-mlogloss:0.631541
[79] train-mlogloss:0.529918 eval-mlogloss:0.628820
[80] train-mlogloss:0.526037 eval-mlogloss:0.625790
[81] train-mlogloss:0.522387 eval-mlogloss:0.622832
[82] train-mlogloss:0.518654 eval-mlogloss:0.619751
[83] train-mlogloss:0.515681 eval-mlogloss:0.617342
[84] train-mlogloss:0.512280 eval-mlogloss:0.614822
[85] train-mlogloss:0.508627 eval-mlogloss:0.612008
[86] train-mlogloss:0.505372 eval-mlogloss:0.609652
[87] train-mlogloss:0.502383 eval-mlogloss:0.607340
[88] train-mlogloss:0.498929 eval-mlogloss:0.604962
[89] train-mlogloss:0.496090 eval-mlogloss:0.602905
[90] train-mlogloss:0.493029 eval-mlogloss:0.600467
[91] train-mlogloss:0.490077 eval-mlogloss:0.598207
[92] train-mlogloss:0.487440 eval-mlogloss:0.596108
[93] train-mlogloss:0.484626 eval-mlogloss:0.594066
[94] train-mlogloss:0.481801 eval-mlogloss:0.591945
[95] train-mlogloss:0.479267 eval-mlogloss:0.589935
[96] train-mlogloss:0.476748 eval-mlogloss:0.588093
[97] train-mlogloss:0.474229 eval-mlogloss:0.586184
[98] train-mlogloss:0.471737 eval-mlogloss:0.584333
[99] train-mlogloss:0.469232 eval-mlogloss:0.582435
[100] train-mlogloss:0.466674 eval-mlogloss:0.580505
[101] train-mlogloss:0.464213 eval-mlogloss:0.578815
[102] train-mlogloss:0.461731 eval-mlogloss:0.577004
[103] train-mlogloss:0.459667 eval-mlogloss:0.575396
[104] train-mlogloss:0.457353 eval-mlogloss:0.573845
[105] train-mlogloss:0.455069 eval-mlogloss:0.572169
[106] train-mlogloss:0.452770 eval-mlogloss:0.570554
[107] train-mlogloss:0.450586 eval-mlogloss:0.568980
[108] train-mlogloss:0.448555 eval-mlogloss:0.567523
[109] train-mlogloss:0.446607 eval-mlogloss:0.565953
[110] train-mlogloss:0.444467 eval-mlogloss:0.564458
[111] train-mlogloss:0.442513 eval-mlogloss:0.563019
[112] train-mlogloss:0.440409 eval-mlogloss:0.561478
[113] train-mlogloss:0.438408 eval-mlogloss:0.559942
[114] train-mlogloss:0.436365 eval-mlogloss:0.558478
[115] train-mlogloss:0.434580 eval-mlogloss:0.557207
[116] train-mlogloss:0.432766 eval-mlogloss:0.555904
[117] train-mlogloss:0.430976 eval-mlogloss:0.554623
[118] train-mlogloss:0.429392 eval-mlogloss:0.553473
[119] train-mlogloss:0.427625 eval-mlogloss:0.552259
[120] train-mlogloss:0.426000 eval-mlogloss:0.551106
[121] train-mlogloss:0.424242 eval-mlogloss:0.549941
[122] train-mlogloss:0.422401 eval-mlogloss:0.548696
[123] train-mlogloss:0.420752 eval-mlogloss:0.547532
[124] train-mlogloss:0.419230 eval-mlogloss:0.546495
[125] train-mlogloss:0.417553 eval-mlogloss:0.545521
[126] train-mlogloss:0.415910 eval-mlogloss:0.544377
[127] train-mlogloss:0.414441 eval-mlogloss:0.543312
[128] train-mlogloss:0.412799 eval-mlogloss:0.542243
[129] train-mlogloss:0.411400 eval-mlogloss:0.541304
[130] train-mlogloss:0.409980 eval-mlogloss:0.540362
[131] train-mlogloss:0.408471 eval-mlogloss:0.539269
[132] train-mlogloss:0.407020 eval-mlogloss:0.538379
[133] train-mlogloss:0.405748 eval-mlogloss:0.537599
[134] train-mlogloss:0.404453 eval-mlogloss:0.536670
[135] train-mlogloss:0.402884 eval-mlogloss:0.535615
[136] train-mlogloss:0.401752 eval-mlogloss:0.534815
[137] train-mlogloss:0.400474 eval-mlogloss:0.533824
[138] train-mlogloss:0.399292 eval-mlogloss:0.533001
[139] train-mlogloss:0.397815 eval-mlogloss:0.532116
[140] train-mlogloss:0.396670 eval-mlogloss:0.531284
[141] train-mlogloss:0.395639 eval-mlogloss:0.530598
[142] train-mlogloss:0.394388 eval-mlogloss:0.529757
[143] train-mlogloss:0.393036 eval-mlogloss:0.528960
[144] train-mlogloss:0.391775 eval-mlogloss:0.528201
[145] train-mlogloss:0.390501 eval-mlogloss:0.527391
[146] train-mlogloss:0.389471 eval-mlogloss:0.526698
[147] train-mlogloss:0.388291 eval-mlogloss:0.525989
[148] train-mlogloss:0.386786 eval-mlogloss:0.525217
[149] train-mlogloss:0.385177 eval-mlogloss:0.524306
[150] train-mlogloss:0.384266 eval-mlogloss:0.523674
[151] train-mlogloss:0.383198 eval-mlogloss:0.522970
[152] train-mlogloss:0.382062 eval-mlogloss:0.522321
[153] train-mlogloss:0.380972 eval-mlogloss:0.521605
[154] train-mlogloss:0.379898 eval-mlogloss:0.520936
[155] train-mlogloss:0.378876 eval-mlogloss:0.520340
[156] train-mlogloss:0.377820 eval-mlogloss:0.519730
[157] train-mlogloss:0.376701 eval-mlogloss:0.519133
[158] train-mlogloss:0.375609 eval-mlogloss:0.518544
[159] train-mlogloss:0.374579 eval-mlogloss:0.517906
[160] train-mlogloss:0.373451 eval-mlogloss:0.517278
[161] train-mlogloss:0.372364 eval-mlogloss:0.516646
[162] train-mlogloss:0.371471 eval-mlogloss:0.516125
[163] train-mlogloss:0.370510 eval-mlogloss:0.515600
[164] train-mlogloss:0.369555 eval-mlogloss:0.515116
[165] train-mlogloss:0.368385 eval-mlogloss:0.514526
[166] train-mlogloss:0.367492 eval-mlogloss:0.513997
[167] train-mlogloss:0.366234 eval-mlogloss:0.513337
[168] train-mlogloss:0.365247 eval-mlogloss:0.512814
[169] train-mlogloss:0.364325 eval-mlogloss:0.512334
[170] train-mlogloss:0.363383 eval-mlogloss:0.511809
[171] train-mlogloss:0.362414 eval-mlogloss:0.511306
[172] train-mlogloss:0.361403 eval-mlogloss:0.510789
[173] train-mlogloss:0.360574 eval-mlogloss:0.510249
[174] train-mlogloss:0.359825 eval-mlogloss:0.509812
[175] train-mlogloss:0.358865 eval-mlogloss:0.509309
[176] train-mlogloss:0.358073 eval-mlogloss:0.508819
[177] train-mlogloss:0.357111 eval-mlogloss:0.508246
[178] train-mlogloss:0.356280 eval-mlogloss:0.507769
[179] train-mlogloss:0.355587 eval-mlogloss:0.507394
[180] train-mlogloss:0.354656 eval-mlogloss:0.506858
[181] train-mlogloss:0.353727 eval-mlogloss:0.506370
[182] train-mlogloss:0.352902 eval-mlogloss:0.505840
[183] train-mlogloss:0.351962 eval-mlogloss:0.505363
[184] train-mlogloss:0.351154 eval-mlogloss:0.504904
[185] train-mlogloss:0.350406 eval-mlogloss:0.504425
[186] train-mlogloss:0.349608 eval-mlogloss:0.503986
[187] train-mlogloss:0.348581 eval-mlogloss:0.503499
[188] train-mlogloss:0.347800 eval-mlogloss:0.502995
[189] train-mlogloss:0.346862 eval-mlogloss:0.502566
[190] train-mlogloss:0.345822 eval-mlogloss:0.501968
[191] train-mlogloss:0.344884 eval-mlogloss:0.501393
[192] train-mlogloss:0.343878 eval-mlogloss:0.500968
[193] train-mlogloss:0.343043 eval-mlogloss:0.500501
[194] train-mlogloss:0.342143 eval-mlogloss:0.500071
[195] train-mlogloss:0.341313 eval-mlogloss:0.499632
[196] train-mlogloss:0.340404 eval-mlogloss:0.499157
[197] train-mlogloss:0.339604 eval-mlogloss:0.498762
[198] train-mlogloss:0.338646 eval-mlogloss:0.498397
[199] train-mlogloss:0.337914 eval-mlogloss:0.498096
[200] train-mlogloss:0.337020 eval-mlogloss:0.497678
[201] train-mlogloss:0.336367 eval-mlogloss:0.497296
[202] train-mlogloss:0.335467 eval-mlogloss:0.496918
[203] train-mlogloss:0.334632 eval-mlogloss:0.496556
[204] train-mlogloss:0.333823 eval-mlogloss:0.496257
[205] train-mlogloss:0.333024 eval-mlogloss:0.495798
[206] train-mlogloss:0.332137 eval-mlogloss:0.495326
[207] train-mlogloss:0.331130 eval-mlogloss:0.494918
[208] train-mlogloss:0.330286 eval-mlogloss:0.494543
[209] train-mlogloss:0.329456 eval-mlogloss:0.494107
[210] train-mlogloss:0.328828 eval-mlogloss:0.493720
[211] train-mlogloss:0.328165 eval-mlogloss:0.493361
[212] train-mlogloss:0.327407 eval-mlogloss:0.493020
[213] train-mlogloss:0.326603 eval-mlogloss:0.492691
[214] train-mlogloss:0.325924 eval-mlogloss:0.492469
[215] train-mlogloss:0.325050 eval-mlogloss:0.492145
[216] train-mlogloss:0.324256 eval-mlogloss:0.491729
[217] train-mlogloss:0.323490 eval-mlogloss:0.491356
[218] train-mlogloss:0.322896 eval-mlogloss:0.491056
[219] train-mlogloss:0.322110 eval-mlogloss:0.490733
[220] train-mlogloss:0.321264 eval-mlogloss:0.490452
[221] train-mlogloss:0.320506 eval-mlogloss:0.490045
[222] train-mlogloss:0.319829 eval-mlogloss:0.489756
[223] train-mlogloss:0.319097 eval-mlogloss:0.489396
[224] train-mlogloss:0.318060 eval-mlogloss:0.489003
[225] train-mlogloss:0.317214 eval-mlogloss:0.488610
[226] train-mlogloss:0.316648 eval-mlogloss:0.488372
[227] train-mlogloss:0.315946 eval-mlogloss:0.488107
[228] train-mlogloss:0.315315 eval-mlogloss:0.487864
[229] train-mlogloss:0.314605 eval-mlogloss:0.487616
[230] train-mlogloss:0.313977 eval-mlogloss:0.487283
[231] train-mlogloss:0.313408 eval-mlogloss:0.487060
[232] train-mlogloss:0.312910 eval-mlogloss:0.486781
[233] train-mlogloss:0.312204 eval-mlogloss:0.486542
[234] train-mlogloss:0.311317 eval-mlogloss:0.486158
[235] train-mlogloss:0.310564 eval-mlogloss:0.485884
[236] train-mlogloss:0.309861 eval-mlogloss:0.485569
[237] train-mlogloss:0.309277 eval-mlogloss:0.485239
[238] train-mlogloss:0.308612 eval-mlogloss:0.484940
[239] train-mlogloss:0.307984 eval-mlogloss:0.484671
[240] train-mlogloss:0.307189 eval-mlogloss:0.484428
[241] train-mlogloss:0.306492 eval-mlogloss:0.484173
[242] train-mlogloss:0.305806 eval-mlogloss:0.483869
[243] train-mlogloss:0.305049 eval-mlogloss:0.483524
[244] train-mlogloss:0.304278 eval-mlogloss:0.483168
[245] train-mlogloss:0.303620 eval-mlogloss:0.482875
[246] train-mlogloss:0.303065 eval-mlogloss:0.482606
[247] train-mlogloss:0.302463 eval-mlogloss:0.482340
[248] train-mlogloss:0.301955 eval-mlogloss:0.482159
[249] train-mlogloss:0.301427 eval-mlogloss:0.481983
[250] train-mlogloss:0.300991 eval-mlogloss:0.481755
[251] train-mlogloss:0.300300 eval-mlogloss:0.481431
[252] train-mlogloss:0.299723 eval-mlogloss:0.481247
[253] train-mlogloss:0.299025 eval-mlogloss:0.480899
[254] train-mlogloss:0.298551 eval-mlogloss:0.480765
[255] train-mlogloss:0.298035 eval-mlogloss:0.480592
[256] train-mlogloss:0.297254 eval-mlogloss:0.480330
[257] train-mlogloss:0.296611 eval-mlogloss:0.480120
[258] train-mlogloss:0.296065 eval-mlogloss:0.479892
[259] train-mlogloss:0.295312 eval-mlogloss:0.479632
[260] train-mlogloss:0.294825 eval-mlogloss:0.479445
[261] train-mlogloss:0.294215 eval-mlogloss:0.479151
[262] train-mlogloss:0.293610 eval-mlogloss:0.478890
[263] train-mlogloss:0.292861 eval-mlogloss:0.478721
[264] train-mlogloss:0.292293 eval-mlogloss:0.478534
[265] train-mlogloss:0.291728 eval-mlogloss:0.478331
[266] train-mlogloss:0.291169 eval-mlogloss:0.478163
[267] train-mlogloss:0.290694 eval-mlogloss:0.478033
[268] train-mlogloss:0.290135 eval-mlogloss:0.477808
[269] train-mlogloss:0.289544 eval-mlogloss:0.477614
[270] train-mlogloss:0.288955 eval-mlogloss:0.477401
[271] train-mlogloss:0.288357 eval-mlogloss:0.477197
[272] train-mlogloss:0.287681 eval-mlogloss:0.477065
[273] train-mlogloss:0.287175 eval-mlogloss:0.476850
[274] train-mlogloss:0.286547 eval-mlogloss:0.476669
[275] train-mlogloss:0.285875 eval-mlogloss:0.476365
[276] train-mlogloss:0.285223 eval-mlogloss:0.476183
[277] train-mlogloss:0.284755 eval-mlogloss:0.475985
[278] train-mlogloss:0.284247 eval-mlogloss:0.475766
[279] train-mlogloss:0.283825 eval-mlogloss:0.475559
[280] train-mlogloss:0.283310 eval-mlogloss:0.475388
[281] train-mlogloss:0.282807 eval-mlogloss:0.475182
[282] train-mlogloss:0.282177 eval-mlogloss:0.475014
[283] train-mlogloss:0.281632 eval-mlogloss:0.474880
[284] train-mlogloss:0.281097 eval-mlogloss:0.474675
[285] train-mlogloss:0.280491 eval-mlogloss:0.474490
[286] train-mlogloss:0.279940 eval-mlogloss:0.474247
[287] train-mlogloss:0.279494 eval-mlogloss:0.474091
[288] train-mlogloss:0.278986 eval-mlogloss:0.473854
[289] train-mlogloss:0.278377 eval-mlogloss:0.473618
[290] train-mlogloss:0.277787 eval-mlogloss:0.473388
[291] train-mlogloss:0.277345 eval-mlogloss:0.473287
[292] train-mlogloss:0.276963 eval-mlogloss:0.473157
[293] train-mlogloss:0.276340 eval-mlogloss:0.472989
[294] train-mlogloss:0.275759 eval-mlogloss:0.472760
[295] train-mlogloss:0.275250 eval-mlogloss:0.472580
[296] train-mlogloss:0.274736 eval-mlogloss:0.472461
[297] train-mlogloss:0.274229 eval-mlogloss:0.472323
[298] train-mlogloss:0.273812 eval-mlogloss:0.472189
[299] train-mlogloss:0.273286 eval-mlogloss:0.472022
[300] train-mlogloss:0.272660 eval-mlogloss:0.471807
[301] train-mlogloss:0.272347 eval-mlogloss:0.471665
[302] train-mlogloss:0.272007 eval-mlogloss:0.471587
[303] train-mlogloss:0.271531 eval-mlogloss:0.471511
[304] train-mlogloss:0.271047 eval-mlogloss:0.471349
[305] train-mlogloss:0.270565 eval-mlogloss:0.471084
[306] train-mlogloss:0.270015 eval-mlogloss:0.470941
[307] train-mlogloss:0.269556 eval-mlogloss:0.470788
[308] train-mlogloss:0.269013 eval-mlogloss:0.470572
[309] train-mlogloss:0.268418 eval-mlogloss:0.470456
[310] train-mlogloss:0.267953 eval-mlogloss:0.470348
[311] train-mlogloss:0.267269 eval-mlogloss:0.470191
[312] train-mlogloss:0.266511 eval-mlogloss:0.470025
[313] train-mlogloss:0.266117 eval-mlogloss:0.469897
[314] train-mlogloss:0.265664 eval-mlogloss:0.469675
[315] train-mlogloss:0.265026 eval-mlogloss:0.469487
[316] train-mlogloss:0.264604 eval-mlogloss:0.469297
[317] train-mlogloss:0.264200 eval-mlogloss:0.469209
[318] train-mlogloss:0.263647 eval-mlogloss:0.469088
[319] train-mlogloss:0.263050 eval-mlogloss:0.469021
[320] train-mlogloss:0.262496 eval-mlogloss:0.468846
[321] train-mlogloss:0.262118 eval-mlogloss:0.468693
[322] train-mlogloss:0.261682 eval-mlogloss:0.468543
[323] train-mlogloss:0.261216 eval-mlogloss:0.468381
[324] train-mlogloss:0.260757 eval-mlogloss:0.468224
[325] train-mlogloss:0.260364 eval-mlogloss:0.468104
[326] train-mlogloss:0.259811 eval-mlogloss:0.467844
[327] train-mlogloss:0.259351 eval-mlogloss:0.467730
[328] train-mlogloss:0.258929 eval-mlogloss:0.467583
[329] train-mlogloss:0.258397 eval-mlogloss:0.467447
[330] train-mlogloss:0.258041 eval-mlogloss:0.467357
[331] train-mlogloss:0.257596 eval-mlogloss:0.467243
[332] train-mlogloss:0.257119 eval-mlogloss:0.467166
[333] train-mlogloss:0.256585 eval-mlogloss:0.467061
[334] train-mlogloss:0.256014 eval-mlogloss:0.466954
[335] train-mlogloss:0.255549 eval-mlogloss:0.466800
[336] train-mlogloss:0.255052 eval-mlogloss:0.466676
[337] train-mlogloss:0.254623 eval-mlogloss:0.466584
[338] train-mlogloss:0.254126 eval-mlogloss:0.466439
[339] train-mlogloss:0.253647 eval-mlogloss:0.466300
[340] train-mlogloss:0.253255 eval-mlogloss:0.466218
[341] train-mlogloss:0.252830 eval-mlogloss:0.466084
[342] train-mlogloss:0.252346 eval-mlogloss:0.466053
[343] train-mlogloss:0.251913 eval-mlogloss:0.465934
[344] train-mlogloss:0.251459 eval-mlogloss:0.465861
[345] train-mlogloss:0.250927 eval-mlogloss:0.465701
[346] train-mlogloss:0.250460 eval-mlogloss:0.465464
[347] train-mlogloss:0.250127 eval-mlogloss:0.465341
[348] train-mlogloss:0.249677 eval-mlogloss:0.465251
[349] train-mlogloss:0.249269 eval-mlogloss:0.465108
[350] train-mlogloss:0.248968 eval-mlogloss:0.464998
[351] train-mlogloss:0.248455 eval-mlogloss:0.464932
[352] train-mlogloss:0.247953 eval-mlogloss:0.464839
[353] train-mlogloss:0.247631 eval-mlogloss:0.464781
[354] train-mlogloss:0.247221 eval-mlogloss:0.464646
[355] train-mlogloss:0.246688 eval-mlogloss:0.464547
[356] train-mlogloss:0.246236 eval-mlogloss:0.464467
[357] train-mlogloss:0.245784 eval-mlogloss:0.464390
[358] train-mlogloss:0.245404 eval-mlogloss:0.464306
[359] train-mlogloss:0.245082 eval-mlogloss:0.464205
[360] train-mlogloss:0.244632 eval-mlogloss:0.464105
[361] train-mlogloss:0.244226 eval-mlogloss:0.463939
[362] train-mlogloss:0.243815 eval-mlogloss:0.463868
[363] train-mlogloss:0.243429 eval-mlogloss:0.463762
[364] train-mlogloss:0.242931 eval-mlogloss:0.463661
[365] train-mlogloss:0.242504 eval-mlogloss:0.463568
[366] train-mlogloss:0.242129 eval-mlogloss:0.463382
[367] train-mlogloss:0.241786 eval-mlogloss:0.463311
[368] train-mlogloss:0.241345 eval-mlogloss:0.463143
[369] train-mlogloss:0.240950 eval-mlogloss:0.463065
[370] train-mlogloss:0.240584 eval-mlogloss:0.462974
[371] train-mlogloss:0.240221 eval-mlogloss:0.462892
[372] train-mlogloss:0.239863 eval-mlogloss:0.462787
[373] train-mlogloss:0.239399 eval-mlogloss:0.462711
[374] train-mlogloss:0.238943 eval-mlogloss:0.462636
[375] train-mlogloss:0.238566 eval-mlogloss:0.462566
[376] train-mlogloss:0.237982 eval-mlogloss:0.462447
[377] train-mlogloss:0.237611 eval-mlogloss:0.462403
[378] train-mlogloss:0.237164 eval-mlogloss:0.462256
[379] train-mlogloss:0.236813 eval-mlogloss:0.462215
[380] train-mlogloss:0.236364 eval-mlogloss:0.462102
[381] train-mlogloss:0.236026 eval-mlogloss:0.462040
[382] train-mlogloss:0.235545 eval-mlogloss:0.461951
[383] train-mlogloss:0.235177 eval-mlogloss:0.461912
[384] train-mlogloss:0.234888 eval-mlogloss:0.461831
[385] train-mlogloss:0.234416 eval-mlogloss:0.461699
[386] train-mlogloss:0.234024 eval-mlogloss:0.461653
[387] train-mlogloss:0.233555 eval-mlogloss:0.461418
[388] train-mlogloss:0.233179 eval-mlogloss:0.461405
[389] train-mlogloss:0.232911 eval-mlogloss:0.461295
[390] train-mlogloss:0.232564 eval-mlogloss:0.461214
[391] train-mlogloss:0.232218 eval-mlogloss:0.461128
[392] train-mlogloss:0.231826 eval-mlogloss:0.461122
[393] train-mlogloss:0.231517 eval-mlogloss:0.461025
[394] train-mlogloss:0.231112 eval-mlogloss:0.460904
[395] train-mlogloss:0.230779 eval-mlogloss:0.460769
[396] train-mlogloss:0.230434 eval-mlogloss:0.460658
[397] train-mlogloss:0.229985 eval-mlogloss:0.460530
[398] train-mlogloss:0.229633 eval-mlogloss:0.460431
[399] train-mlogloss:0.229321 eval-mlogloss:0.460339
[400] train-mlogloss:0.228916 eval-mlogloss:0.460344
[401] train-mlogloss:0.228613 eval-mlogloss:0.460297
[402] train-mlogloss:0.228329 eval-mlogloss:0.460196
[403] train-mlogloss:0.227834 eval-mlogloss:0.460032
[404] train-mlogloss:0.227348 eval-mlogloss:0.459936
[405] train-mlogloss:0.226946 eval-mlogloss:0.459864
[406] train-mlogloss:0.226610 eval-mlogloss:0.459753
[407] train-mlogloss:0.226219 eval-mlogloss:0.459701
[408] train-mlogloss:0.225897 eval-mlogloss:0.459638
[409] train-mlogloss:0.225536 eval-mlogloss:0.459630
[410] train-mlogloss:0.225131 eval-mlogloss:0.459546
[411] train-mlogloss:0.224779 eval-mlogloss:0.459548
[412] train-mlogloss:0.224372 eval-mlogloss:0.459478
[413] train-mlogloss:0.223991 eval-mlogloss:0.459431
[414] train-mlogloss:0.223697 eval-mlogloss:0.459374
[415] train-mlogloss:0.223235 eval-mlogloss:0.459283
[416] train-mlogloss:0.222820 eval-mlogloss:0.459187
[417] train-mlogloss:0.222466 eval-mlogloss:0.459112
[418] train-mlogloss:0.222141 eval-mlogloss:0.459086
[419] train-mlogloss:0.221673 eval-mlogloss:0.458949
[420] train-mlogloss:0.221339 eval-mlogloss:0.458898
[421] train-mlogloss:0.220865 eval-mlogloss:0.458793
[422] train-mlogloss:0.220413 eval-mlogloss:0.458696
[423] train-mlogloss:0.220058 eval-mlogloss:0.458572
[424] train-mlogloss:0.219799 eval-mlogloss:0.458496
[425] train-mlogloss:0.219545 eval-mlogloss:0.458456
[426] train-mlogloss:0.219204 eval-mlogloss:0.458403
[427] train-mlogloss:0.218936 eval-mlogloss:0.458351
[428] train-mlogloss:0.218689 eval-mlogloss:0.458250
[429] train-mlogloss:0.218358 eval-mlogloss:0.458208
[430] train-mlogloss:0.217974 eval-mlogloss:0.458105
[431] train-mlogloss:0.217722 eval-mlogloss:0.458021
[432] train-mlogloss:0.217437 eval-mlogloss:0.457924
[433] train-mlogloss:0.217059 eval-mlogloss:0.457890
[434] train-mlogloss:0.216755 eval-mlogloss:0.457781
[435] train-mlogloss:0.216469 eval-mlogloss:0.457757
[436] train-mlogloss:0.216261 eval-mlogloss:0.457660
[437] train-mlogloss:0.215968 eval-mlogloss:0.457681
[438] train-mlogloss:0.215615 eval-mlogloss:0.457668
[439] train-mlogloss:0.215368 eval-mlogloss:0.457617
[440] train-mlogloss:0.215007 eval-mlogloss:0.457507
[441] train-mlogloss:0.214670 eval-mlogloss:0.457411
[442] train-mlogloss:0.214390 eval-mlogloss:0.457311
[443] train-mlogloss:0.214078 eval-mlogloss:0.457205
[444] train-mlogloss:0.213742 eval-mlogloss:0.457118
[445] train-mlogloss:0.213558 eval-mlogloss:0.457086
[446] train-mlogloss:0.213190 eval-mlogloss:0.457005
[447] train-mlogloss:0.212848 eval-mlogloss:0.456928
[448] train-mlogloss:0.212408 eval-mlogloss:0.456869
[449] train-mlogloss:0.212010 eval-mlogloss:0.456802
[450] train-mlogloss:0.211604 eval-mlogloss:0.456751
[451] train-mlogloss:0.211214 eval-mlogloss:0.456701
[452] train-mlogloss:0.210963 eval-mlogloss:0.456635
[453] train-mlogloss:0.210706 eval-mlogloss:0.456574
[454] train-mlogloss:0.210442 eval-mlogloss:0.456519
[455] train-mlogloss:0.210177 eval-mlogloss:0.456472
[456] train-mlogloss:0.209819 eval-mlogloss:0.456463
[457] train-mlogloss:0.209546 eval-mlogloss:0.456429
[458] train-mlogloss:0.209245 eval-mlogloss:0.456393
[459] train-mlogloss:0.208934 eval-mlogloss:0.456326
[460] train-mlogloss:0.208707 eval-mlogloss:0.456281
[461] train-mlogloss:0.208374 eval-mlogloss:0.456271
[462] train-mlogloss:0.208102 eval-mlogloss:0.456204
[463] train-mlogloss:0.207863 eval-mlogloss:0.456147
[464] train-mlogloss:0.207595 eval-mlogloss:0.456055
[465] train-mlogloss:0.207337 eval-mlogloss:0.456041
[466] train-mlogloss:0.207026 eval-mlogloss:0.455941
[467] train-mlogloss:0.206658 eval-mlogloss:0.455873
[468] train-mlogloss:0.206300 eval-mlogloss:0.455793
[469] train-mlogloss:0.206006 eval-mlogloss:0.455755
[470] train-mlogloss:0.205684 eval-mlogloss:0.455649
[471] train-mlogloss:0.205403 eval-mlogloss:0.455624
[472] train-mlogloss:0.205132 eval-mlogloss:0.455594
[473] train-mlogloss:0.204743 eval-mlogloss:0.455579
[474] train-mlogloss:0.204350 eval-mlogloss:0.455557
[475] train-mlogloss:0.204125 eval-mlogloss:0.455542
[476] train-mlogloss:0.203873 eval-mlogloss:0.455476
[477] train-mlogloss:0.203576 eval-mlogloss:0.455405
[478] train-mlogloss:0.203296 eval-mlogloss:0.455387
[479] train-mlogloss:0.203037 eval-mlogloss:0.455354
[480] train-mlogloss:0.202813 eval-mlogloss:0.455243
[481] train-mlogloss:0.202573 eval-mlogloss:0.455079
[482] train-mlogloss:0.202199 eval-mlogloss:0.454974
[483] train-mlogloss:0.201857 eval-mlogloss:0.454882
[484] train-mlogloss:0.201558 eval-mlogloss:0.454790
[485] train-mlogloss:0.201285 eval-mlogloss:0.454711
[486] train-mlogloss:0.200977 eval-mlogloss:0.454675
[487] train-mlogloss:0.200656 eval-mlogloss:0.454605
[488] train-mlogloss:0.200389 eval-mlogloss:0.454565
[489] train-mlogloss:0.200054 eval-mlogloss:0.454517
[490] train-mlogloss:0.199721 eval-mlogloss:0.454477
[491] train-mlogloss:0.199438 eval-mlogloss:0.454436
[492] train-mlogloss:0.199146 eval-mlogloss:0.454316
[493] train-mlogloss:0.198916 eval-mlogloss:0.454283
[494] train-mlogloss:0.198560 eval-mlogloss:0.454212
[495] train-mlogloss:0.198240 eval-mlogloss:0.454183
[496] train-mlogloss:0.197867 eval-mlogloss:0.454115
[497] train-mlogloss:0.197575 eval-mlogloss:0.454077
[498] train-mlogloss:0.197310 eval-mlogloss:0.454007
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.6000000000000001, 'max_depth': 8.0, 'silent': 1, 'subsample': 0.7000000000000001, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.5}
Score 0.45400874983233447
[499] train-mlogloss:0.197051 eval-mlogloss:0.454009
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.629750 eval-mlogloss:1.648062
[1] train-mlogloss:1.369772 eval-mlogloss:1.405536
[2] train-mlogloss:1.182890 eval-mlogloss:1.230283
[3] train-mlogloss:1.046425 eval-mlogloss:1.104252
[4] train-mlogloss:0.932829 eval-mlogloss:1.000137
[5] train-mlogloss:0.849952 eval-mlogloss:0.925481
[6] train-mlogloss:0.783744 eval-mlogloss:0.865753
[7] train-mlogloss:0.726032 eval-mlogloss:0.815351
[8] train-mlogloss:0.676453 eval-mlogloss:0.771476
[9] train-mlogloss:0.635684 eval-mlogloss:0.736204
[10] train-mlogloss:0.600346 eval-mlogloss:0.707774
[11] train-mlogloss:0.568122 eval-mlogloss:0.682347
[12] train-mlogloss:0.542349 eval-mlogloss:0.661023
[13] train-mlogloss:0.519452 eval-mlogloss:0.641726
[14] train-mlogloss:0.497885 eval-mlogloss:0.624973
[15] train-mlogloss:0.479299 eval-mlogloss:0.610779
[16] train-mlogloss:0.462077 eval-mlogloss:0.597602
[17] train-mlogloss:0.446543 eval-mlogloss:0.586191
[18] train-mlogloss:0.433763 eval-mlogloss:0.577140
[19] train-mlogloss:0.421594 eval-mlogloss:0.568605
[20] train-mlogloss:0.411525 eval-mlogloss:0.561930
[21] train-mlogloss:0.403184 eval-mlogloss:0.556277
[22] train-mlogloss:0.393897 eval-mlogloss:0.549915
[23] train-mlogloss:0.386475 eval-mlogloss:0.544868
[24] train-mlogloss:0.378564 eval-mlogloss:0.540031
[25] train-mlogloss:0.372167 eval-mlogloss:0.535611
[26] train-mlogloss:0.365832 eval-mlogloss:0.531895
[27] train-mlogloss:0.360309 eval-mlogloss:0.528649
[28] train-mlogloss:0.354021 eval-mlogloss:0.525191
[29] train-mlogloss:0.349033 eval-mlogloss:0.522560
[30] train-mlogloss:0.343600 eval-mlogloss:0.520115
[31] train-mlogloss:0.338459 eval-mlogloss:0.517179
[32] train-mlogloss:0.334864 eval-mlogloss:0.515216
[33] train-mlogloss:0.329368 eval-mlogloss:0.512083
[34] train-mlogloss:0.324482 eval-mlogloss:0.510155
[35] train-mlogloss:0.321183 eval-mlogloss:0.508394
[36] train-mlogloss:0.316775 eval-mlogloss:0.506075
[37] train-mlogloss:0.311514 eval-mlogloss:0.504079
[38] train-mlogloss:0.307822 eval-mlogloss:0.502206
[39] train-mlogloss:0.304795 eval-mlogloss:0.500689
[40] train-mlogloss:0.300363 eval-mlogloss:0.498590
[41] train-mlogloss:0.297092 eval-mlogloss:0.497006
[42] train-mlogloss:0.293126 eval-mlogloss:0.495367
[43] train-mlogloss:0.288988 eval-mlogloss:0.494103
[44] train-mlogloss:0.285452 eval-mlogloss:0.492434
[45] train-mlogloss:0.282162 eval-mlogloss:0.491131
[46] train-mlogloss:0.277657 eval-mlogloss:0.489640
[47] train-mlogloss:0.275518 eval-mlogloss:0.488680
[48] train-mlogloss:0.273389 eval-mlogloss:0.487612
[49] train-mlogloss:0.270650 eval-mlogloss:0.486365
[50] train-mlogloss:0.268213 eval-mlogloss:0.485567
[51] train-mlogloss:0.265477 eval-mlogloss:0.484719
[52] train-mlogloss:0.262105 eval-mlogloss:0.483402
[53] train-mlogloss:0.259470 eval-mlogloss:0.482568
[54] train-mlogloss:0.257056 eval-mlogloss:0.481826
[55] train-mlogloss:0.254392 eval-mlogloss:0.480746
[56] train-mlogloss:0.252755 eval-mlogloss:0.480519
[57] train-mlogloss:0.250274 eval-mlogloss:0.479834
[58] train-mlogloss:0.248184 eval-mlogloss:0.479336
[59] train-mlogloss:0.245888 eval-mlogloss:0.478242
[60] train-mlogloss:0.243932 eval-mlogloss:0.477609
[61] train-mlogloss:0.241108 eval-mlogloss:0.477018
[62] train-mlogloss:0.238924 eval-mlogloss:0.476227
[63] train-mlogloss:0.236970 eval-mlogloss:0.475964
[64] train-mlogloss:0.234752 eval-mlogloss:0.475409
[65] train-mlogloss:0.232728 eval-mlogloss:0.475032
[66] train-mlogloss:0.230495 eval-mlogloss:0.474180
[67] train-mlogloss:0.228903 eval-mlogloss:0.473941
[68] train-mlogloss:0.226837 eval-mlogloss:0.473534
[69] train-mlogloss:0.225678 eval-mlogloss:0.472794
[70] train-mlogloss:0.225004 eval-mlogloss:0.472565
[71] train-mlogloss:0.223588 eval-mlogloss:0.472100
[72] train-mlogloss:0.222367 eval-mlogloss:0.472006
[73] train-mlogloss:0.220793 eval-mlogloss:0.471589
[74] train-mlogloss:0.218568 eval-mlogloss:0.471132
[75] train-mlogloss:0.217065 eval-mlogloss:0.470718
[76] train-mlogloss:0.215682 eval-mlogloss:0.470619
[77] train-mlogloss:0.213670 eval-mlogloss:0.470292
[78] train-mlogloss:0.211790 eval-mlogloss:0.469783
[79] train-mlogloss:0.209604 eval-mlogloss:0.469446
[80] train-mlogloss:0.207774 eval-mlogloss:0.469150
[81] train-mlogloss:0.206714 eval-mlogloss:0.469015
[82] train-mlogloss:0.204976 eval-mlogloss:0.468860
[83] train-mlogloss:0.203533 eval-mlogloss:0.468834
[84] train-mlogloss:0.201917 eval-mlogloss:0.468603
[85] train-mlogloss:0.200935 eval-mlogloss:0.468624
[86] train-mlogloss:0.199966 eval-mlogloss:0.468143
[87] train-mlogloss:0.198918 eval-mlogloss:0.468049
[88] train-mlogloss:0.198216 eval-mlogloss:0.467970
[89] train-mlogloss:0.197169 eval-mlogloss:0.467725
[90] train-mlogloss:0.195965 eval-mlogloss:0.467610
[91] train-mlogloss:0.194771 eval-mlogloss:0.467170
[92] train-mlogloss:0.192877 eval-mlogloss:0.466883
[93] train-mlogloss:0.191909 eval-mlogloss:0.466738
[94] train-mlogloss:0.190744 eval-mlogloss:0.466727
[95] train-mlogloss:0.189251 eval-mlogloss:0.466552
[96] train-mlogloss:0.187389 eval-mlogloss:0.466270
[97] train-mlogloss:0.185836 eval-mlogloss:0.465994
[98] train-mlogloss:0.184987 eval-mlogloss:0.465928
[99] train-mlogloss:0.183674 eval-mlogloss:0.465927
[100] train-mlogloss:0.182624 eval-mlogloss:0.466007
[101] train-mlogloss:0.181304 eval-mlogloss:0.465927
[102] train-mlogloss:0.180175 eval-mlogloss:0.465683
[103] train-mlogloss:0.179346 eval-mlogloss:0.465585
[104] train-mlogloss:0.178512 eval-mlogloss:0.465607
[105] train-mlogloss:0.177058 eval-mlogloss:0.465889
[106] train-mlogloss:0.175751 eval-mlogloss:0.465851
[107] train-mlogloss:0.175236 eval-mlogloss:0.465680
[108] train-mlogloss:0.174523 eval-mlogloss:0.465582
[109] train-mlogloss:0.174021 eval-mlogloss:0.465685
[110] train-mlogloss:0.172953 eval-mlogloss:0.466003
[111] train-mlogloss:0.172140 eval-mlogloss:0.465877
[112] train-mlogloss:0.170636 eval-mlogloss:0.465835
[113] train-mlogloss:0.169817 eval-mlogloss:0.465928
[114] train-mlogloss:0.168548 eval-mlogloss:0.466056
[115] train-mlogloss:0.167463 eval-mlogloss:0.465763
[116] train-mlogloss:0.166489 eval-mlogloss:0.465439
[117] train-mlogloss:0.165535 eval-mlogloss:0.465427
[118] train-mlogloss:0.164611 eval-mlogloss:0.465152
[119] train-mlogloss:0.164123 eval-mlogloss:0.465233
[120] train-mlogloss:0.163412 eval-mlogloss:0.465120
[121] train-mlogloss:0.162983 eval-mlogloss:0.465046
[122] train-mlogloss:0.162110 eval-mlogloss:0.464937
[123] train-mlogloss:0.160935 eval-mlogloss:0.465114
[124] train-mlogloss:0.159944 eval-mlogloss:0.465222
[125] train-mlogloss:0.159209 eval-mlogloss:0.465050
[126] train-mlogloss:0.158716 eval-mlogloss:0.464982
[127] train-mlogloss:0.157436 eval-mlogloss:0.464858
[128] train-mlogloss:0.156562 eval-mlogloss:0.465049
[129] train-mlogloss:0.155941 eval-mlogloss:0.464901
[130] train-mlogloss:0.155297 eval-mlogloss:0.464917
[131] train-mlogloss:0.154568 eval-mlogloss:0.465049
[132] train-mlogloss:0.154043 eval-mlogloss:0.465076
[133] train-mlogloss:0.153368 eval-mlogloss:0.465103
[134] train-mlogloss:0.152532 eval-mlogloss:0.464934
[135] train-mlogloss:0.151973 eval-mlogloss:0.464848
[136] train-mlogloss:0.151365 eval-mlogloss:0.464770
[137] train-mlogloss:0.150797 eval-mlogloss:0.465018
[138] train-mlogloss:0.149945 eval-mlogloss:0.464988
[139] train-mlogloss:0.149307 eval-mlogloss:0.464909
[140] train-mlogloss:0.148720 eval-mlogloss:0.464960
[141] train-mlogloss:0.148354 eval-mlogloss:0.464892
[142] train-mlogloss:0.147787 eval-mlogloss:0.464909
[143] train-mlogloss:0.147400 eval-mlogloss:0.464942
[144] train-mlogloss:0.146995 eval-mlogloss:0.464872
[145] train-mlogloss:0.146574 eval-mlogloss:0.464842
[146] train-mlogloss:0.146086 eval-mlogloss:0.464755
[147] train-mlogloss:0.145235 eval-mlogloss:0.464931
[148] train-mlogloss:0.144908 eval-mlogloss:0.464759
[149] train-mlogloss:0.144398 eval-mlogloss:0.464651
[150] train-mlogloss:0.143921 eval-mlogloss:0.464581
[151] train-mlogloss:0.143369 eval-mlogloss:0.464692
[152] train-mlogloss:0.142978 eval-mlogloss:0.464741
[153] train-mlogloss:0.142619 eval-mlogloss:0.464739
[154] train-mlogloss:0.142385 eval-mlogloss:0.464825
[155] train-mlogloss:0.141561 eval-mlogloss:0.465013
[156] train-mlogloss:0.141288 eval-mlogloss:0.464974
[157] train-mlogloss:0.140465 eval-mlogloss:0.465085
[158] train-mlogloss:0.139971 eval-mlogloss:0.465202
[159] train-mlogloss:0.139336 eval-mlogloss:0.465538
Training with params :
{'eta': 0.25, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 9.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.46543544791266855
[160] train-mlogloss:0.139000 eval-mlogloss:0.465435
Stopping. Best iteration:
[150] train-mlogloss:0.143921 eval-mlogloss:0.464581
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.707511 eval-mlogloss:1.717979
[1] train-mlogloss:1.408475 eval-mlogloss:1.425728
[2] train-mlogloss:1.228920 eval-mlogloss:1.252737
[3] train-mlogloss:1.100906 eval-mlogloss:1.130667
[4] train-mlogloss:1.001603 eval-mlogloss:1.035102
[5] train-mlogloss:0.920475 eval-mlogloss:0.958149
[6] train-mlogloss:0.859582 eval-mlogloss:0.900737
[7] train-mlogloss:0.802520 eval-mlogloss:0.847219
[8] train-mlogloss:0.756219 eval-mlogloss:0.805308
[9] train-mlogloss:0.721819 eval-mlogloss:0.774401
[10] train-mlogloss:0.685630 eval-mlogloss:0.741768
[11] train-mlogloss:0.655322 eval-mlogloss:0.714641
[12] train-mlogloss:0.631260 eval-mlogloss:0.693952
[13] train-mlogloss:0.611588 eval-mlogloss:0.677290
[14] train-mlogloss:0.590225 eval-mlogloss:0.658964
[15] train-mlogloss:0.571337 eval-mlogloss:0.643207
[16] train-mlogloss:0.555578 eval-mlogloss:0.630110
[17] train-mlogloss:0.543105 eval-mlogloss:0.619804
[18] train-mlogloss:0.531887 eval-mlogloss:0.610123
[19] train-mlogloss:0.518357 eval-mlogloss:0.599549
[20] train-mlogloss:0.508083 eval-mlogloss:0.591890
[21] train-mlogloss:0.497775 eval-mlogloss:0.584106
[22] train-mlogloss:0.488524 eval-mlogloss:0.577615
[23] train-mlogloss:0.480472 eval-mlogloss:0.571386
[24] train-mlogloss:0.474435 eval-mlogloss:0.566640
[25] train-mlogloss:0.468244 eval-mlogloss:0.562132
[26] train-mlogloss:0.461928 eval-mlogloss:0.557966
[27] train-mlogloss:0.456377 eval-mlogloss:0.554380
[28] train-mlogloss:0.450884 eval-mlogloss:0.550697
[29] train-mlogloss:0.446448 eval-mlogloss:0.547830
[30] train-mlogloss:0.440310 eval-mlogloss:0.544221
[31] train-mlogloss:0.434838 eval-mlogloss:0.540953
[32] train-mlogloss:0.429918 eval-mlogloss:0.537396
[33] train-mlogloss:0.424816 eval-mlogloss:0.534313
[34] train-mlogloss:0.421414 eval-mlogloss:0.532153
[35] train-mlogloss:0.417231 eval-mlogloss:0.529991
[36] train-mlogloss:0.411738 eval-mlogloss:0.527339
[37] train-mlogloss:0.408138 eval-mlogloss:0.525270
[38] train-mlogloss:0.405031 eval-mlogloss:0.523440
[39] train-mlogloss:0.400883 eval-mlogloss:0.521725
[40] train-mlogloss:0.397807 eval-mlogloss:0.519836
[41] train-mlogloss:0.394935 eval-mlogloss:0.518171
[42] train-mlogloss:0.391887 eval-mlogloss:0.516716
[43] train-mlogloss:0.388311 eval-mlogloss:0.514742
[44] train-mlogloss:0.386074 eval-mlogloss:0.513609
[45] train-mlogloss:0.383320 eval-mlogloss:0.512295
[46] train-mlogloss:0.380689 eval-mlogloss:0.510831
[47] train-mlogloss:0.378221 eval-mlogloss:0.510047
[48] train-mlogloss:0.375158 eval-mlogloss:0.508584
[49] train-mlogloss:0.372942 eval-mlogloss:0.507321
[50] train-mlogloss:0.370611 eval-mlogloss:0.506016
[51] train-mlogloss:0.368807 eval-mlogloss:0.504995
[52] train-mlogloss:0.366483 eval-mlogloss:0.503880
[53] train-mlogloss:0.364359 eval-mlogloss:0.502959
[54] train-mlogloss:0.362448 eval-mlogloss:0.502151
[55] train-mlogloss:0.360183 eval-mlogloss:0.501540
[56] train-mlogloss:0.358101 eval-mlogloss:0.500563
[57] train-mlogloss:0.355744 eval-mlogloss:0.499636
[58] train-mlogloss:0.353608 eval-mlogloss:0.498762
[59] train-mlogloss:0.352111 eval-mlogloss:0.498139
[60] train-mlogloss:0.350039 eval-mlogloss:0.497355
[61] train-mlogloss:0.347890 eval-mlogloss:0.496805
[62] train-mlogloss:0.345819 eval-mlogloss:0.496011
[63] train-mlogloss:0.342882 eval-mlogloss:0.495179
[64] train-mlogloss:0.340759 eval-mlogloss:0.494541
[65] train-mlogloss:0.339314 eval-mlogloss:0.493810
[66] train-mlogloss:0.337923 eval-mlogloss:0.493101
[67] train-mlogloss:0.336289 eval-mlogloss:0.492312
[68] train-mlogloss:0.334761 eval-mlogloss:0.491792
[69] train-mlogloss:0.332489 eval-mlogloss:0.491065
[70] train-mlogloss:0.330785 eval-mlogloss:0.490535
[71] train-mlogloss:0.329057 eval-mlogloss:0.489628
[72] train-mlogloss:0.327089 eval-mlogloss:0.489124
[73] train-mlogloss:0.324825 eval-mlogloss:0.488122
[74] train-mlogloss:0.323443 eval-mlogloss:0.487701
[75] train-mlogloss:0.321467 eval-mlogloss:0.487259
[76] train-mlogloss:0.319474 eval-mlogloss:0.486376
[77] train-mlogloss:0.316648 eval-mlogloss:0.485713
[78] train-mlogloss:0.314984 eval-mlogloss:0.485213
[79] train-mlogloss:0.312957 eval-mlogloss:0.484485
[80] train-mlogloss:0.311339 eval-mlogloss:0.483992
[81] train-mlogloss:0.309449 eval-mlogloss:0.483523
[82] train-mlogloss:0.307669 eval-mlogloss:0.483009
[83] train-mlogloss:0.306109 eval-mlogloss:0.482616
[84] train-mlogloss:0.304579 eval-mlogloss:0.482122
[85] train-mlogloss:0.303119 eval-mlogloss:0.481661
[86] train-mlogloss:0.302099 eval-mlogloss:0.481510
[87] train-mlogloss:0.300797 eval-mlogloss:0.480774
[88] train-mlogloss:0.299492 eval-mlogloss:0.480392
[89] train-mlogloss:0.297444 eval-mlogloss:0.479975
[90] train-mlogloss:0.296142 eval-mlogloss:0.479513
[91] train-mlogloss:0.294802 eval-mlogloss:0.479037
[92] train-mlogloss:0.293273 eval-mlogloss:0.478912
[93] train-mlogloss:0.291602 eval-mlogloss:0.478654
[94] train-mlogloss:0.290365 eval-mlogloss:0.478142
[95] train-mlogloss:0.288957 eval-mlogloss:0.477742
[96] train-mlogloss:0.287724 eval-mlogloss:0.477390
[97] train-mlogloss:0.286083 eval-mlogloss:0.477305
[98] train-mlogloss:0.284241 eval-mlogloss:0.476840
[99] train-mlogloss:0.283063 eval-mlogloss:0.476606
[100] train-mlogloss:0.281729 eval-mlogloss:0.476272
[101] train-mlogloss:0.280094 eval-mlogloss:0.475594
[102] train-mlogloss:0.278831 eval-mlogloss:0.475142
[103] train-mlogloss:0.277802 eval-mlogloss:0.474920
[104] train-mlogloss:0.276560 eval-mlogloss:0.474645
[105] train-mlogloss:0.275562 eval-mlogloss:0.474704
[106] train-mlogloss:0.274330 eval-mlogloss:0.474441
[107] train-mlogloss:0.273289 eval-mlogloss:0.474279
[108] train-mlogloss:0.272398 eval-mlogloss:0.474248
[109] train-mlogloss:0.271194 eval-mlogloss:0.473798
[110] train-mlogloss:0.269918 eval-mlogloss:0.473397
[111] train-mlogloss:0.268927 eval-mlogloss:0.473465
[112] train-mlogloss:0.267529 eval-mlogloss:0.473203
[113] train-mlogloss:0.266615 eval-mlogloss:0.472719
[114] train-mlogloss:0.265695 eval-mlogloss:0.472615
[115] train-mlogloss:0.264667 eval-mlogloss:0.472400
[116] train-mlogloss:0.263717 eval-mlogloss:0.472142
[117] train-mlogloss:0.262742 eval-mlogloss:0.471762
[118] train-mlogloss:0.261439 eval-mlogloss:0.471523
[119] train-mlogloss:0.260465 eval-mlogloss:0.471392
[120] train-mlogloss:0.259364 eval-mlogloss:0.471453
[121] train-mlogloss:0.258350 eval-mlogloss:0.471013
[122] train-mlogloss:0.257112 eval-mlogloss:0.470736
[123] train-mlogloss:0.255622 eval-mlogloss:0.470733
[124] train-mlogloss:0.254264 eval-mlogloss:0.470379
[125] train-mlogloss:0.253145 eval-mlogloss:0.470164
[126] train-mlogloss:0.252300 eval-mlogloss:0.469979
[127] train-mlogloss:0.251466 eval-mlogloss:0.469594
[128] train-mlogloss:0.249692 eval-mlogloss:0.469605
[129] train-mlogloss:0.248467 eval-mlogloss:0.469313
[130] train-mlogloss:0.247603 eval-mlogloss:0.468942
[131] train-mlogloss:0.246933 eval-mlogloss:0.469017
[132] train-mlogloss:0.246384 eval-mlogloss:0.468928
[133] train-mlogloss:0.245245 eval-mlogloss:0.468890
[134] train-mlogloss:0.244476 eval-mlogloss:0.468863
[135] train-mlogloss:0.243832 eval-mlogloss:0.468693
[136] train-mlogloss:0.242834 eval-mlogloss:0.468576
[137] train-mlogloss:0.241672 eval-mlogloss:0.468775
[138] train-mlogloss:0.240558 eval-mlogloss:0.468052
[139] train-mlogloss:0.239156 eval-mlogloss:0.467802
[140] train-mlogloss:0.237834 eval-mlogloss:0.467886
[141] train-mlogloss:0.236485 eval-mlogloss:0.467710
[142] train-mlogloss:0.235456 eval-mlogloss:0.467369
[143] train-mlogloss:0.234767 eval-mlogloss:0.467361
[144] train-mlogloss:0.234136 eval-mlogloss:0.467421
[145] train-mlogloss:0.233464 eval-mlogloss:0.467419
[146] train-mlogloss:0.232710 eval-mlogloss:0.467144
[147] train-mlogloss:0.232084 eval-mlogloss:0.467234
[148] train-mlogloss:0.231080 eval-mlogloss:0.467083
[149] train-mlogloss:0.230315 eval-mlogloss:0.467085
[150] train-mlogloss:0.229813 eval-mlogloss:0.467110
[151] train-mlogloss:0.229132 eval-mlogloss:0.467335
[152] train-mlogloss:0.228172 eval-mlogloss:0.467356
[153] train-mlogloss:0.227375 eval-mlogloss:0.467133
[154] train-mlogloss:0.226561 eval-mlogloss:0.467099
[155] train-mlogloss:0.225552 eval-mlogloss:0.466953
[156] train-mlogloss:0.224940 eval-mlogloss:0.466973
[157] train-mlogloss:0.224362 eval-mlogloss:0.466878
[158] train-mlogloss:0.223738 eval-mlogloss:0.466807
[159] train-mlogloss:0.222534 eval-mlogloss:0.466530
[160] train-mlogloss:0.221598 eval-mlogloss:0.466547
[161] train-mlogloss:0.220803 eval-mlogloss:0.466502
[162] train-mlogloss:0.219909 eval-mlogloss:0.466509
[163] train-mlogloss:0.219227 eval-mlogloss:0.466227
[164] train-mlogloss:0.218555 eval-mlogloss:0.466081
[165] train-mlogloss:0.217965 eval-mlogloss:0.466014
[166] train-mlogloss:0.216765 eval-mlogloss:0.465961
[167] train-mlogloss:0.216236 eval-mlogloss:0.465820
[168] train-mlogloss:0.215514 eval-mlogloss:0.465800
[169] train-mlogloss:0.214574 eval-mlogloss:0.465619
[170] train-mlogloss:0.213649 eval-mlogloss:0.465762
[171] train-mlogloss:0.212739 eval-mlogloss:0.465483
[172] train-mlogloss:0.212197 eval-mlogloss:0.465561
[173] train-mlogloss:0.211464 eval-mlogloss:0.465567
[174] train-mlogloss:0.211116 eval-mlogloss:0.465464
[175] train-mlogloss:0.210543 eval-mlogloss:0.465359
[176] train-mlogloss:0.210132 eval-mlogloss:0.465412
[177] train-mlogloss:0.209764 eval-mlogloss:0.465400
[178] train-mlogloss:0.209289 eval-mlogloss:0.465231
[179] train-mlogloss:0.208549 eval-mlogloss:0.465153
[180] train-mlogloss:0.207753 eval-mlogloss:0.465150
[181] train-mlogloss:0.207094 eval-mlogloss:0.465133
[182] train-mlogloss:0.206661 eval-mlogloss:0.465035
[183] train-mlogloss:0.206285 eval-mlogloss:0.464984
[184] train-mlogloss:0.205772 eval-mlogloss:0.464962
[185] train-mlogloss:0.205416 eval-mlogloss:0.465079
[186] train-mlogloss:0.204761 eval-mlogloss:0.465247
[187] train-mlogloss:0.204236 eval-mlogloss:0.465305
[188] train-mlogloss:0.203845 eval-mlogloss:0.465351
[189] train-mlogloss:0.203282 eval-mlogloss:0.465181
[190] train-mlogloss:0.202832 eval-mlogloss:0.465295
[191] train-mlogloss:0.202044 eval-mlogloss:0.465208
[192] train-mlogloss:0.201582 eval-mlogloss:0.465157
[193] train-mlogloss:0.200653 eval-mlogloss:0.464952
[194] train-mlogloss:0.200184 eval-mlogloss:0.464902
[195] train-mlogloss:0.199612 eval-mlogloss:0.464924
[196] train-mlogloss:0.198404 eval-mlogloss:0.464994
[197] train-mlogloss:0.197728 eval-mlogloss:0.464960
[198] train-mlogloss:0.197438 eval-mlogloss:0.464895
[199] train-mlogloss:0.196442 eval-mlogloss:0.464730
[200] train-mlogloss:0.195932 eval-mlogloss:0.464597
[201] train-mlogloss:0.195118 eval-mlogloss:0.464747
[202] train-mlogloss:0.194489 eval-mlogloss:0.464698
[203] train-mlogloss:0.194028 eval-mlogloss:0.464815
[204] train-mlogloss:0.193646 eval-mlogloss:0.464889
[205] train-mlogloss:0.192942 eval-mlogloss:0.464879
[206] train-mlogloss:0.192338 eval-mlogloss:0.464919
[207] train-mlogloss:0.191857 eval-mlogloss:0.464975
[208] train-mlogloss:0.191315 eval-mlogloss:0.464834
[209] train-mlogloss:0.190952 eval-mlogloss:0.464876
Training with params :
{'eta': 0.275, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 7.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.4649071909081157
[210] train-mlogloss:0.190476 eval-mlogloss:0.464907
Stopping. Best iteration:
[200] train-mlogloss:0.195932 eval-mlogloss:0.464597
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.890506 eval-mlogloss:1.892354
[1] train-mlogloss:1.671198 eval-mlogloss:1.675675
[2] train-mlogloss:1.520997 eval-mlogloss:1.528651
[3] train-mlogloss:1.411110 eval-mlogloss:1.421357
[4] train-mlogloss:1.311146 eval-mlogloss:1.322330
[5] train-mlogloss:1.230654 eval-mlogloss:1.243862
[6] train-mlogloss:1.163591 eval-mlogloss:1.178365
[7] train-mlogloss:1.100002 eval-mlogloss:1.114844
[8] train-mlogloss:1.045969 eval-mlogloss:1.061667
[9] train-mlogloss:0.994710 eval-mlogloss:1.011396
[10] train-mlogloss:0.953655 eval-mlogloss:0.971569
[11] train-mlogloss:0.914074 eval-mlogloss:0.933275
[12] train-mlogloss:0.883108 eval-mlogloss:0.903627
[13] train-mlogloss:0.850345 eval-mlogloss:0.871760
[14] train-mlogloss:0.823791 eval-mlogloss:0.846371
[15] train-mlogloss:0.801395 eval-mlogloss:0.824907
[16] train-mlogloss:0.778407 eval-mlogloss:0.802695
[17] train-mlogloss:0.757729 eval-mlogloss:0.783361
[18] train-mlogloss:0.739489 eval-mlogloss:0.766845
[19] train-mlogloss:0.724432 eval-mlogloss:0.752833
[20] train-mlogloss:0.709424 eval-mlogloss:0.739016
[21] train-mlogloss:0.695924 eval-mlogloss:0.726388
[22] train-mlogloss:0.682901 eval-mlogloss:0.714238
[23] train-mlogloss:0.671731 eval-mlogloss:0.704314
[24] train-mlogloss:0.660348 eval-mlogloss:0.693470
[25] train-mlogloss:0.651166 eval-mlogloss:0.685380
[26] train-mlogloss:0.643019 eval-mlogloss:0.677908
[27] train-mlogloss:0.635116 eval-mlogloss:0.670990
[28] train-mlogloss:0.626751 eval-mlogloss:0.663146
[29] train-mlogloss:0.618844 eval-mlogloss:0.656387
[30] train-mlogloss:0.612134 eval-mlogloss:0.650712
[31] train-mlogloss:0.605244 eval-mlogloss:0.644395
[32] train-mlogloss:0.598076 eval-mlogloss:0.638190
[33] train-mlogloss:0.591878 eval-mlogloss:0.632985
[34] train-mlogloss:0.586027 eval-mlogloss:0.628111
[35] train-mlogloss:0.580335 eval-mlogloss:0.623748
[36] train-mlogloss:0.575542 eval-mlogloss:0.619571
[37] train-mlogloss:0.570243 eval-mlogloss:0.615179
[38] train-mlogloss:0.565599 eval-mlogloss:0.611334
[39] train-mlogloss:0.560712 eval-mlogloss:0.607558
[40] train-mlogloss:0.556361 eval-mlogloss:0.603589
[41] train-mlogloss:0.552085 eval-mlogloss:0.600239
[42] train-mlogloss:0.548613 eval-mlogloss:0.597570
[43] train-mlogloss:0.544582 eval-mlogloss:0.594285
[44] train-mlogloss:0.540948 eval-mlogloss:0.591835
[45] train-mlogloss:0.537450 eval-mlogloss:0.589184
[46] train-mlogloss:0.534022 eval-mlogloss:0.586897
[47] train-mlogloss:0.530410 eval-mlogloss:0.584405
[48] train-mlogloss:0.526493 eval-mlogloss:0.581679
[49] train-mlogloss:0.523423 eval-mlogloss:0.579322
[50] train-mlogloss:0.520284 eval-mlogloss:0.577058
[51] train-mlogloss:0.517737 eval-mlogloss:0.575201
[52] train-mlogloss:0.514767 eval-mlogloss:0.573241
[53] train-mlogloss:0.511312 eval-mlogloss:0.570712
[54] train-mlogloss:0.508933 eval-mlogloss:0.569090
[55] train-mlogloss:0.506332 eval-mlogloss:0.567484
[56] train-mlogloss:0.503594 eval-mlogloss:0.565792
[57] train-mlogloss:0.500786 eval-mlogloss:0.563942
[58] train-mlogloss:0.498440 eval-mlogloss:0.562547
[59] train-mlogloss:0.496081 eval-mlogloss:0.560860
[60] train-mlogloss:0.493816 eval-mlogloss:0.559093
[61] train-mlogloss:0.491595 eval-mlogloss:0.557933
[62] train-mlogloss:0.489370 eval-mlogloss:0.556391
[63] train-mlogloss:0.486962 eval-mlogloss:0.554808
[64] train-mlogloss:0.484516 eval-mlogloss:0.553355
[65] train-mlogloss:0.482319 eval-mlogloss:0.551943
[66] train-mlogloss:0.480350 eval-mlogloss:0.550401
[67] train-mlogloss:0.478197 eval-mlogloss:0.549260
[68] train-mlogloss:0.475961 eval-mlogloss:0.547757
[69] train-mlogloss:0.474467 eval-mlogloss:0.546556
[70] train-mlogloss:0.472675 eval-mlogloss:0.545299
[71] train-mlogloss:0.470786 eval-mlogloss:0.543863
[72] train-mlogloss:0.468956 eval-mlogloss:0.542654
[73] train-mlogloss:0.466934 eval-mlogloss:0.541474
[74] train-mlogloss:0.465132 eval-mlogloss:0.540429
[75] train-mlogloss:0.463254 eval-mlogloss:0.539358
[76] train-mlogloss:0.461740 eval-mlogloss:0.538396
[77] train-mlogloss:0.460220 eval-mlogloss:0.537470
[78] train-mlogloss:0.458338 eval-mlogloss:0.536429
[79] train-mlogloss:0.456713 eval-mlogloss:0.535505
[80] train-mlogloss:0.454891 eval-mlogloss:0.534283
[81] train-mlogloss:0.453093 eval-mlogloss:0.533213
[82] train-mlogloss:0.451316 eval-mlogloss:0.532326
[83] train-mlogloss:0.449056 eval-mlogloss:0.530853
[84] train-mlogloss:0.447615 eval-mlogloss:0.530221
[85] train-mlogloss:0.445912 eval-mlogloss:0.529589
[86] train-mlogloss:0.444215 eval-mlogloss:0.528635
[87] train-mlogloss:0.442868 eval-mlogloss:0.527802
[88] train-mlogloss:0.441455 eval-mlogloss:0.527148
[89] train-mlogloss:0.440232 eval-mlogloss:0.526360
[90] train-mlogloss:0.439134 eval-mlogloss:0.525932
[91] train-mlogloss:0.437759 eval-mlogloss:0.525377
[92] train-mlogloss:0.436168 eval-mlogloss:0.524776
[93] train-mlogloss:0.434623 eval-mlogloss:0.524190
[94] train-mlogloss:0.433171 eval-mlogloss:0.523460
[95] train-mlogloss:0.431738 eval-mlogloss:0.522939
[96] train-mlogloss:0.430182 eval-mlogloss:0.522188
[97] train-mlogloss:0.428771 eval-mlogloss:0.521411
[98] train-mlogloss:0.427667 eval-mlogloss:0.520730
[99] train-mlogloss:0.426509 eval-mlogloss:0.519987
[100] train-mlogloss:0.425036 eval-mlogloss:0.519073
[101] train-mlogloss:0.423624 eval-mlogloss:0.518588
[102] train-mlogloss:0.422383 eval-mlogloss:0.517885
[103] train-mlogloss:0.421196 eval-mlogloss:0.517252
[104] train-mlogloss:0.419945 eval-mlogloss:0.516751
[105] train-mlogloss:0.418696 eval-mlogloss:0.516180
[106] train-mlogloss:0.417714 eval-mlogloss:0.515638
[107] train-mlogloss:0.416573 eval-mlogloss:0.515087
[108] train-mlogloss:0.415109 eval-mlogloss:0.514520
[109] train-mlogloss:0.414121 eval-mlogloss:0.513916
[110] train-mlogloss:0.412970 eval-mlogloss:0.513219
[111] train-mlogloss:0.411567 eval-mlogloss:0.512428
[112] train-mlogloss:0.410468 eval-mlogloss:0.511853
[113] train-mlogloss:0.409265 eval-mlogloss:0.511375
[114] train-mlogloss:0.408082 eval-mlogloss:0.510939
[115] train-mlogloss:0.407200 eval-mlogloss:0.510336
[116] train-mlogloss:0.405787 eval-mlogloss:0.509451
[117] train-mlogloss:0.404770 eval-mlogloss:0.508913
[118] train-mlogloss:0.403691 eval-mlogloss:0.508601
[119] train-mlogloss:0.402789 eval-mlogloss:0.508319
[120] train-mlogloss:0.401678 eval-mlogloss:0.507809
[121] train-mlogloss:0.400549 eval-mlogloss:0.507413
[122] train-mlogloss:0.399383 eval-mlogloss:0.506793
[123] train-mlogloss:0.398167 eval-mlogloss:0.506338
[124] train-mlogloss:0.397159 eval-mlogloss:0.505848
[125] train-mlogloss:0.395885 eval-mlogloss:0.505549
[126] train-mlogloss:0.394620 eval-mlogloss:0.504928
[127] train-mlogloss:0.393926 eval-mlogloss:0.504674
[128] train-mlogloss:0.392847 eval-mlogloss:0.504205
[129] train-mlogloss:0.391674 eval-mlogloss:0.503836
[130] train-mlogloss:0.390758 eval-mlogloss:0.503384
[131] train-mlogloss:0.389448 eval-mlogloss:0.502822
[132] train-mlogloss:0.388627 eval-mlogloss:0.502376
[133] train-mlogloss:0.387298 eval-mlogloss:0.501898
[134] train-mlogloss:0.386457 eval-mlogloss:0.501545
[135] train-mlogloss:0.385385 eval-mlogloss:0.501040
[136] train-mlogloss:0.384419 eval-mlogloss:0.500815
[137] train-mlogloss:0.383505 eval-mlogloss:0.500263
[138] train-mlogloss:0.382338 eval-mlogloss:0.500004
[139] train-mlogloss:0.381153 eval-mlogloss:0.499570
[140] train-mlogloss:0.380426 eval-mlogloss:0.499133
[141] train-mlogloss:0.379552 eval-mlogloss:0.498656
[142] train-mlogloss:0.378502 eval-mlogloss:0.498322
[143] train-mlogloss:0.377473 eval-mlogloss:0.498091
[144] train-mlogloss:0.376287 eval-mlogloss:0.498039
[145] train-mlogloss:0.375126 eval-mlogloss:0.497598
[146] train-mlogloss:0.374301 eval-mlogloss:0.497324
[147] train-mlogloss:0.373381 eval-mlogloss:0.496855
[148] train-mlogloss:0.372236 eval-mlogloss:0.496443
[149] train-mlogloss:0.371307 eval-mlogloss:0.496016
[150] train-mlogloss:0.370645 eval-mlogloss:0.495865
[151] train-mlogloss:0.369678 eval-mlogloss:0.495476
[152] train-mlogloss:0.368870 eval-mlogloss:0.495315
[153] train-mlogloss:0.367987 eval-mlogloss:0.494910
[154] train-mlogloss:0.367004 eval-mlogloss:0.494368
[155] train-mlogloss:0.366134 eval-mlogloss:0.493997
[156] train-mlogloss:0.365403 eval-mlogloss:0.493684
[157] train-mlogloss:0.364237 eval-mlogloss:0.493540
[158] train-mlogloss:0.363346 eval-mlogloss:0.493402
[159] train-mlogloss:0.362449 eval-mlogloss:0.493151
[160] train-mlogloss:0.361396 eval-mlogloss:0.492644
[161] train-mlogloss:0.360604 eval-mlogloss:0.492332
[162] train-mlogloss:0.359853 eval-mlogloss:0.492045
[163] train-mlogloss:0.358987 eval-mlogloss:0.491722
[164] train-mlogloss:0.358412 eval-mlogloss:0.491554
[165] train-mlogloss:0.357365 eval-mlogloss:0.491206
[166] train-mlogloss:0.356754 eval-mlogloss:0.490858
[167] train-mlogloss:0.355966 eval-mlogloss:0.490690
[168] train-mlogloss:0.355206 eval-mlogloss:0.490467
[169] train-mlogloss:0.354577 eval-mlogloss:0.490251
[170] train-mlogloss:0.353621 eval-mlogloss:0.489908
[171] train-mlogloss:0.353006 eval-mlogloss:0.489613
[172] train-mlogloss:0.352273 eval-mlogloss:0.489397
[173] train-mlogloss:0.351565 eval-mlogloss:0.489287
[174] train-mlogloss:0.350809 eval-mlogloss:0.489014
[175] train-mlogloss:0.350265 eval-mlogloss:0.488915
[176] train-mlogloss:0.349524 eval-mlogloss:0.488693
[177] train-mlogloss:0.348605 eval-mlogloss:0.488457
[178] train-mlogloss:0.347768 eval-mlogloss:0.488132
[179] train-mlogloss:0.346824 eval-mlogloss:0.487873
[180] train-mlogloss:0.346125 eval-mlogloss:0.487559
[181] train-mlogloss:0.345291 eval-mlogloss:0.487329
[182] train-mlogloss:0.344586 eval-mlogloss:0.487070
[183] train-mlogloss:0.343705 eval-mlogloss:0.486856
[184] train-mlogloss:0.343031 eval-mlogloss:0.486542
[185] train-mlogloss:0.342238 eval-mlogloss:0.486404
[186] train-mlogloss:0.341527 eval-mlogloss:0.486011
[187] train-mlogloss:0.340944 eval-mlogloss:0.485875
[188] train-mlogloss:0.340202 eval-mlogloss:0.485577
[189] train-mlogloss:0.339300 eval-mlogloss:0.485463
[190] train-mlogloss:0.338563 eval-mlogloss:0.484993
[191] train-mlogloss:0.337853 eval-mlogloss:0.484770
[192] train-mlogloss:0.337202 eval-mlogloss:0.484498
[193] train-mlogloss:0.336510 eval-mlogloss:0.484167
[194] train-mlogloss:0.336057 eval-mlogloss:0.484096
[195] train-mlogloss:0.335206 eval-mlogloss:0.483957
[196] train-mlogloss:0.334622 eval-mlogloss:0.483912
[197] train-mlogloss:0.334222 eval-mlogloss:0.483785
[198] train-mlogloss:0.333478 eval-mlogloss:0.483563
[199] train-mlogloss:0.332694 eval-mlogloss:0.483279
[200] train-mlogloss:0.331951 eval-mlogloss:0.483099
[201] train-mlogloss:0.331216 eval-mlogloss:0.482918
[202] train-mlogloss:0.330700 eval-mlogloss:0.482762
[203] train-mlogloss:0.329891 eval-mlogloss:0.482441
[204] train-mlogloss:0.329055 eval-mlogloss:0.482239
[205] train-mlogloss:0.328457 eval-mlogloss:0.482145
[206] train-mlogloss:0.327888 eval-mlogloss:0.482070
[207] train-mlogloss:0.327361 eval-mlogloss:0.482012
[208] train-mlogloss:0.326651 eval-mlogloss:0.481907
[209] train-mlogloss:0.326000 eval-mlogloss:0.481643
[210] train-mlogloss:0.325454 eval-mlogloss:0.481516
[211] train-mlogloss:0.324807 eval-mlogloss:0.481185
[212] train-mlogloss:0.324134 eval-mlogloss:0.480985
[213] train-mlogloss:0.323534 eval-mlogloss:0.480772
[214] train-mlogloss:0.322642 eval-mlogloss:0.480663
[215] train-mlogloss:0.321876 eval-mlogloss:0.480456
[216] train-mlogloss:0.321312 eval-mlogloss:0.480311
[217] train-mlogloss:0.320621 eval-mlogloss:0.480256
[218] train-mlogloss:0.319999 eval-mlogloss:0.480075
[219] train-mlogloss:0.319423 eval-mlogloss:0.479902
[220] train-mlogloss:0.318682 eval-mlogloss:0.479603
[221] train-mlogloss:0.317948 eval-mlogloss:0.479343
[222] train-mlogloss:0.317377 eval-mlogloss:0.479264
[223] train-mlogloss:0.316805 eval-mlogloss:0.479288
[224] train-mlogloss:0.316192 eval-mlogloss:0.479139
[225] train-mlogloss:0.315716 eval-mlogloss:0.478969
[226] train-mlogloss:0.314969 eval-mlogloss:0.478669
[227] train-mlogloss:0.314335 eval-mlogloss:0.478299
[228] train-mlogloss:0.313586 eval-mlogloss:0.478164
[229] train-mlogloss:0.312888 eval-mlogloss:0.477869
[230] train-mlogloss:0.312190 eval-mlogloss:0.477682
[231] train-mlogloss:0.311652 eval-mlogloss:0.477409
[232] train-mlogloss:0.310771 eval-mlogloss:0.477394
[233] train-mlogloss:0.310212 eval-mlogloss:0.477323
[234] train-mlogloss:0.309656 eval-mlogloss:0.477090
[235] train-mlogloss:0.308960 eval-mlogloss:0.476972
[236] train-mlogloss:0.308321 eval-mlogloss:0.476798
[237] train-mlogloss:0.307674 eval-mlogloss:0.476644
[238] train-mlogloss:0.307156 eval-mlogloss:0.476630
[239] train-mlogloss:0.306536 eval-mlogloss:0.476439
[240] train-mlogloss:0.306110 eval-mlogloss:0.476383
[241] train-mlogloss:0.305680 eval-mlogloss:0.476380
[242] train-mlogloss:0.305203 eval-mlogloss:0.476371
[243] train-mlogloss:0.304780 eval-mlogloss:0.476311
[244] train-mlogloss:0.304318 eval-mlogloss:0.476206
[245] train-mlogloss:0.303762 eval-mlogloss:0.476211
[246] train-mlogloss:0.303083 eval-mlogloss:0.475990
[247] train-mlogloss:0.302539 eval-mlogloss:0.476018
[248] train-mlogloss:0.301828 eval-mlogloss:0.475787
[249] train-mlogloss:0.301185 eval-mlogloss:0.475407
[250] train-mlogloss:0.300612 eval-mlogloss:0.475337
[251] train-mlogloss:0.299863 eval-mlogloss:0.475134
[252] train-mlogloss:0.299419 eval-mlogloss:0.475055
[253] train-mlogloss:0.298817 eval-mlogloss:0.474977
[254] train-mlogloss:0.298337 eval-mlogloss:0.474897
[255] train-mlogloss:0.297863 eval-mlogloss:0.474811
[256] train-mlogloss:0.297151 eval-mlogloss:0.474758
[257] train-mlogloss:0.296589 eval-mlogloss:0.474559
[258] train-mlogloss:0.295855 eval-mlogloss:0.474282
[259] train-mlogloss:0.295222 eval-mlogloss:0.474201
[260] train-mlogloss:0.294720 eval-mlogloss:0.473977
[261] train-mlogloss:0.294284 eval-mlogloss:0.474019
[262] train-mlogloss:0.293753 eval-mlogloss:0.473856
[263] train-mlogloss:0.293260 eval-mlogloss:0.473864
[264] train-mlogloss:0.292913 eval-mlogloss:0.473769
[265] train-mlogloss:0.292461 eval-mlogloss:0.473692
[266] train-mlogloss:0.292154 eval-mlogloss:0.473596
[267] train-mlogloss:0.291779 eval-mlogloss:0.473648
[268] train-mlogloss:0.291309 eval-mlogloss:0.473493
[269] train-mlogloss:0.290842 eval-mlogloss:0.473287
[270] train-mlogloss:0.290169 eval-mlogloss:0.473122
[271] train-mlogloss:0.289631 eval-mlogloss:0.473236
[272] train-mlogloss:0.289067 eval-mlogloss:0.473324
[273] train-mlogloss:0.288694 eval-mlogloss:0.473168
[274] train-mlogloss:0.288165 eval-mlogloss:0.473102
[275] train-mlogloss:0.287644 eval-mlogloss:0.473076
[276] train-mlogloss:0.287149 eval-mlogloss:0.472970
[277] train-mlogloss:0.286520 eval-mlogloss:0.472799
[278] train-mlogloss:0.285993 eval-mlogloss:0.472801
[279] train-mlogloss:0.285624 eval-mlogloss:0.472718
[280] train-mlogloss:0.285158 eval-mlogloss:0.472662
[281] train-mlogloss:0.284689 eval-mlogloss:0.472640
[282] train-mlogloss:0.284007 eval-mlogloss:0.472502
[283] train-mlogloss:0.283638 eval-mlogloss:0.472346
[284] train-mlogloss:0.283074 eval-mlogloss:0.472221
[285] train-mlogloss:0.282827 eval-mlogloss:0.472252
[286] train-mlogloss:0.282412 eval-mlogloss:0.472216
[287] train-mlogloss:0.282017 eval-mlogloss:0.472153
[288] train-mlogloss:0.281430 eval-mlogloss:0.472055
[289] train-mlogloss:0.280961 eval-mlogloss:0.471914
[290] train-mlogloss:0.280496 eval-mlogloss:0.471897
[291] train-mlogloss:0.280065 eval-mlogloss:0.471862
[292] train-mlogloss:0.279461 eval-mlogloss:0.471672
[293] train-mlogloss:0.278989 eval-mlogloss:0.471598
[294] train-mlogloss:0.278544 eval-mlogloss:0.471536
[295] train-mlogloss:0.277975 eval-mlogloss:0.471329
[296] train-mlogloss:0.277471 eval-mlogloss:0.471290
[297] train-mlogloss:0.276798 eval-mlogloss:0.471296
[298] train-mlogloss:0.276461 eval-mlogloss:0.471255
[299] train-mlogloss:0.276022 eval-mlogloss:0.471150
[300] train-mlogloss:0.275602 eval-mlogloss:0.471022
[301] train-mlogloss:0.275033 eval-mlogloss:0.471094
[302] train-mlogloss:0.274568 eval-mlogloss:0.471055
[303] train-mlogloss:0.274129 eval-mlogloss:0.470972
[304] train-mlogloss:0.273591 eval-mlogloss:0.470918
[305] train-mlogloss:0.273209 eval-mlogloss:0.470728
[306] train-mlogloss:0.272707 eval-mlogloss:0.470553
[307] train-mlogloss:0.272288 eval-mlogloss:0.470401
[308] train-mlogloss:0.271861 eval-mlogloss:0.470355
[309] train-mlogloss:0.271245 eval-mlogloss:0.470545
[310] train-mlogloss:0.270990 eval-mlogloss:0.470543
[311] train-mlogloss:0.270447 eval-mlogloss:0.470417
[312] train-mlogloss:0.269903 eval-mlogloss:0.470463
[313] train-mlogloss:0.269502 eval-mlogloss:0.470321
[314] train-mlogloss:0.269049 eval-mlogloss:0.470130
[315] train-mlogloss:0.268537 eval-mlogloss:0.470130
[316] train-mlogloss:0.268129 eval-mlogloss:0.470104
[317] train-mlogloss:0.267675 eval-mlogloss:0.469826
[318] train-mlogloss:0.267179 eval-mlogloss:0.469790
[319] train-mlogloss:0.266822 eval-mlogloss:0.469903
[320] train-mlogloss:0.266350 eval-mlogloss:0.469697
[321] train-mlogloss:0.265952 eval-mlogloss:0.469517
[322] train-mlogloss:0.265426 eval-mlogloss:0.469328
[323] train-mlogloss:0.264973 eval-mlogloss:0.469130
[324] train-mlogloss:0.264495 eval-mlogloss:0.468961
[325] train-mlogloss:0.264206 eval-mlogloss:0.468833
[326] train-mlogloss:0.263816 eval-mlogloss:0.468665
[327] train-mlogloss:0.263518 eval-mlogloss:0.468619
[328] train-mlogloss:0.263240 eval-mlogloss:0.468735
[329] train-mlogloss:0.262922 eval-mlogloss:0.468730
[330] train-mlogloss:0.262685 eval-mlogloss:0.468657
[331] train-mlogloss:0.262154 eval-mlogloss:0.468645
[332] train-mlogloss:0.261650 eval-mlogloss:0.468606
[333] train-mlogloss:0.261126 eval-mlogloss:0.468506
[334] train-mlogloss:0.260809 eval-mlogloss:0.468419
[335] train-mlogloss:0.260401 eval-mlogloss:0.468321
[336] train-mlogloss:0.260018 eval-mlogloss:0.468228
[337] train-mlogloss:0.259721 eval-mlogloss:0.468163
[338] train-mlogloss:0.259267 eval-mlogloss:0.468075
[339] train-mlogloss:0.258926 eval-mlogloss:0.467966
[340] train-mlogloss:0.258584 eval-mlogloss:0.467860
[341] train-mlogloss:0.258330 eval-mlogloss:0.467823
[342] train-mlogloss:0.258023 eval-mlogloss:0.467883
[343] train-mlogloss:0.257753 eval-mlogloss:0.467970
[344] train-mlogloss:0.257416 eval-mlogloss:0.467922
[345] train-mlogloss:0.257088 eval-mlogloss:0.467861
[346] train-mlogloss:0.256693 eval-mlogloss:0.467726
[347] train-mlogloss:0.256337 eval-mlogloss:0.467790
[348] train-mlogloss:0.256030 eval-mlogloss:0.467833
[349] train-mlogloss:0.255725 eval-mlogloss:0.467968
[350] train-mlogloss:0.255466 eval-mlogloss:0.467981
[351] train-mlogloss:0.255126 eval-mlogloss:0.468018
[352] train-mlogloss:0.254838 eval-mlogloss:0.467985
[353] train-mlogloss:0.254493 eval-mlogloss:0.467882
[354] train-mlogloss:0.254118 eval-mlogloss:0.467761
[355] train-mlogloss:0.253613 eval-mlogloss:0.467796
Training with params :
{'eta': 0.17500000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 5.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.4678213786048158
[356] train-mlogloss:0.253220 eval-mlogloss:0.467821
Stopping. Best iteration:
[346] train-mlogloss:0.256693 eval-mlogloss:0.467726
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.002006 eval-mlogloss:2.010503
[1] train-mlogloss:1.856297 eval-mlogloss:1.872697
[2] train-mlogloss:1.732588 eval-mlogloss:1.755445
[3] train-mlogloss:1.630888 eval-mlogloss:1.660167
[4] train-mlogloss:1.543701 eval-mlogloss:1.578964
[5] train-mlogloss:1.463673 eval-mlogloss:1.504272
[6] train-mlogloss:1.387101 eval-mlogloss:1.433388
[7] train-mlogloss:1.318540 eval-mlogloss:1.369207
[8] train-mlogloss:1.259694 eval-mlogloss:1.314494
[9] train-mlogloss:1.202584 eval-mlogloss:1.261739
[10] train-mlogloss:1.151353 eval-mlogloss:1.214556
[11] train-mlogloss:1.103438 eval-mlogloss:1.171077
[12] train-mlogloss:1.062138 eval-mlogloss:1.133191
[13] train-mlogloss:1.021636 eval-mlogloss:1.096523
[14] train-mlogloss:0.984922 eval-mlogloss:1.063936
[15] train-mlogloss:0.949441 eval-mlogloss:1.031903
[16] train-mlogloss:0.916341 eval-mlogloss:1.002129
[17] train-mlogloss:0.885159 eval-mlogloss:0.974365
[18] train-mlogloss:0.856477 eval-mlogloss:0.948865
[19] train-mlogloss:0.828992 eval-mlogloss:0.924538
[20] train-mlogloss:0.804539 eval-mlogloss:0.903117
[21] train-mlogloss:0.780017 eval-mlogloss:0.881710
[22] train-mlogloss:0.756497 eval-mlogloss:0.861638
[23] train-mlogloss:0.735340 eval-mlogloss:0.843187
[24] train-mlogloss:0.716141 eval-mlogloss:0.826661
[25] train-mlogloss:0.696495 eval-mlogloss:0.809872
[26] train-mlogloss:0.678882 eval-mlogloss:0.794738
[27] train-mlogloss:0.661221 eval-mlogloss:0.779877
[28] train-mlogloss:0.644683 eval-mlogloss:0.766179
[29] train-mlogloss:0.628900 eval-mlogloss:0.752987
[30] train-mlogloss:0.613769 eval-mlogloss:0.740463
[31] train-mlogloss:0.599707 eval-mlogloss:0.728901
[32] train-mlogloss:0.586289 eval-mlogloss:0.717947
[33] train-mlogloss:0.573140 eval-mlogloss:0.707347
[34] train-mlogloss:0.561617 eval-mlogloss:0.697999
[35] train-mlogloss:0.550483 eval-mlogloss:0.689132
[36] train-mlogloss:0.540170 eval-mlogloss:0.680956
[37] train-mlogloss:0.530217 eval-mlogloss:0.672606
[38] train-mlogloss:0.521273 eval-mlogloss:0.665099
[39] train-mlogloss:0.511816 eval-mlogloss:0.657352
[40] train-mlogloss:0.503431 eval-mlogloss:0.650392
[41] train-mlogloss:0.494864 eval-mlogloss:0.643643
[42] train-mlogloss:0.485842 eval-mlogloss:0.636598
[43] train-mlogloss:0.477751 eval-mlogloss:0.630379
[44] train-mlogloss:0.469433 eval-mlogloss:0.624225
[45] train-mlogloss:0.461685 eval-mlogloss:0.618421
[46] train-mlogloss:0.454664 eval-mlogloss:0.613278
[47] train-mlogloss:0.448219 eval-mlogloss:0.608100
[48] train-mlogloss:0.441472 eval-mlogloss:0.603008
[49] train-mlogloss:0.435122 eval-mlogloss:0.598216
[50] train-mlogloss:0.429575 eval-mlogloss:0.593991
[51] train-mlogloss:0.423597 eval-mlogloss:0.589683
[52] train-mlogloss:0.418164 eval-mlogloss:0.585635
[53] train-mlogloss:0.413231 eval-mlogloss:0.581893
[54] train-mlogloss:0.408331 eval-mlogloss:0.578374
[55] train-mlogloss:0.403410 eval-mlogloss:0.574854
[56] train-mlogloss:0.398299 eval-mlogloss:0.571287
[57] train-mlogloss:0.393551 eval-mlogloss:0.567890
[58] train-mlogloss:0.388942 eval-mlogloss:0.564463
[59] train-mlogloss:0.384739 eval-mlogloss:0.561465
[60] train-mlogloss:0.379884 eval-mlogloss:0.558375
[61] train-mlogloss:0.375926 eval-mlogloss:0.555659
[62] train-mlogloss:0.371671 eval-mlogloss:0.552860
[63] train-mlogloss:0.367837 eval-mlogloss:0.550262
[64] train-mlogloss:0.364256 eval-mlogloss:0.547971
[65] train-mlogloss:0.360516 eval-mlogloss:0.545511
[66] train-mlogloss:0.357317 eval-mlogloss:0.543203
[67] train-mlogloss:0.354003 eval-mlogloss:0.541108
[68] train-mlogloss:0.351027 eval-mlogloss:0.538979
[69] train-mlogloss:0.347839 eval-mlogloss:0.536782
[70] train-mlogloss:0.344921 eval-mlogloss:0.534879
[71] train-mlogloss:0.341928 eval-mlogloss:0.532873
[72] train-mlogloss:0.339414 eval-mlogloss:0.531017
[73] train-mlogloss:0.336745 eval-mlogloss:0.529307
[74] train-mlogloss:0.333943 eval-mlogloss:0.527404
[75] train-mlogloss:0.330926 eval-mlogloss:0.525664
[76] train-mlogloss:0.328187 eval-mlogloss:0.524081
[77] train-mlogloss:0.326073 eval-mlogloss:0.522586
[78] train-mlogloss:0.323430 eval-mlogloss:0.521001
[79] train-mlogloss:0.321252 eval-mlogloss:0.519595
[80] train-mlogloss:0.318906 eval-mlogloss:0.518066
[81] train-mlogloss:0.316512 eval-mlogloss:0.516706
[82] train-mlogloss:0.314269 eval-mlogloss:0.515375
[83] train-mlogloss:0.312005 eval-mlogloss:0.514032
[84] train-mlogloss:0.309955 eval-mlogloss:0.512735
[85] train-mlogloss:0.308299 eval-mlogloss:0.511666
[86] train-mlogloss:0.306635 eval-mlogloss:0.510573
[87] train-mlogloss:0.304356 eval-mlogloss:0.509287
[88] train-mlogloss:0.302389 eval-mlogloss:0.508090
[89] train-mlogloss:0.300108 eval-mlogloss:0.507072
[90] train-mlogloss:0.298381 eval-mlogloss:0.505890
[91] train-mlogloss:0.296670 eval-mlogloss:0.504912
[92] train-mlogloss:0.294751 eval-mlogloss:0.503843
[93] train-mlogloss:0.292641 eval-mlogloss:0.502822
[94] train-mlogloss:0.290781 eval-mlogloss:0.501931
[95] train-mlogloss:0.289002 eval-mlogloss:0.501081
[96] train-mlogloss:0.287536 eval-mlogloss:0.500335
[97] train-mlogloss:0.286114 eval-mlogloss:0.499353
[98] train-mlogloss:0.284570 eval-mlogloss:0.498430
[99] train-mlogloss:0.282787 eval-mlogloss:0.497433
[100] train-mlogloss:0.281214 eval-mlogloss:0.496857
[101] train-mlogloss:0.279716 eval-mlogloss:0.495866
[102] train-mlogloss:0.278119 eval-mlogloss:0.495036
[103] train-mlogloss:0.276625 eval-mlogloss:0.494239
[104] train-mlogloss:0.275198 eval-mlogloss:0.493596
[105] train-mlogloss:0.273734 eval-mlogloss:0.492988
[106] train-mlogloss:0.272183 eval-mlogloss:0.492182
[107] train-mlogloss:0.270259 eval-mlogloss:0.491570
[108] train-mlogloss:0.268850 eval-mlogloss:0.490864
[109] train-mlogloss:0.267542 eval-mlogloss:0.490102
[110] train-mlogloss:0.266274 eval-mlogloss:0.489505
[111] train-mlogloss:0.264865 eval-mlogloss:0.488928
[112] train-mlogloss:0.263422 eval-mlogloss:0.488171
[113] train-mlogloss:0.262123 eval-mlogloss:0.487511
[114] train-mlogloss:0.261121 eval-mlogloss:0.486968
[115] train-mlogloss:0.259880 eval-mlogloss:0.486514
[116] train-mlogloss:0.258848 eval-mlogloss:0.486009
[117] train-mlogloss:0.257738 eval-mlogloss:0.485364
[118] train-mlogloss:0.256551 eval-mlogloss:0.484774
[119] train-mlogloss:0.255294 eval-mlogloss:0.484233
[120] train-mlogloss:0.254190 eval-mlogloss:0.483670
[121] train-mlogloss:0.252848 eval-mlogloss:0.483050
[122] train-mlogloss:0.251908 eval-mlogloss:0.482510
[123] train-mlogloss:0.251057 eval-mlogloss:0.482010
[124] train-mlogloss:0.249920 eval-mlogloss:0.481519
[125] train-mlogloss:0.248922 eval-mlogloss:0.481072
[126] train-mlogloss:0.247869 eval-mlogloss:0.480596
[127] train-mlogloss:0.246956 eval-mlogloss:0.480044
[128] train-mlogloss:0.245889 eval-mlogloss:0.479701
[129] train-mlogloss:0.244809 eval-mlogloss:0.479284
[130] train-mlogloss:0.243444 eval-mlogloss:0.478808
[131] train-mlogloss:0.242339 eval-mlogloss:0.478519
[132] train-mlogloss:0.241622 eval-mlogloss:0.478287
[133] train-mlogloss:0.240483 eval-mlogloss:0.477856
[134] train-mlogloss:0.239427 eval-mlogloss:0.477471
[135] train-mlogloss:0.238375 eval-mlogloss:0.476970
[136] train-mlogloss:0.237428 eval-mlogloss:0.476581
[137] train-mlogloss:0.236033 eval-mlogloss:0.476128
[138] train-mlogloss:0.235066 eval-mlogloss:0.475755
[139] train-mlogloss:0.234124 eval-mlogloss:0.475373
[140] train-mlogloss:0.232939 eval-mlogloss:0.474901
[141] train-mlogloss:0.232230 eval-mlogloss:0.474714
[142] train-mlogloss:0.230968 eval-mlogloss:0.474338
[143] train-mlogloss:0.229654 eval-mlogloss:0.474002
[144] train-mlogloss:0.228753 eval-mlogloss:0.473692
[145] train-mlogloss:0.227671 eval-mlogloss:0.473317
[146] train-mlogloss:0.226855 eval-mlogloss:0.472918
[147] train-mlogloss:0.226155 eval-mlogloss:0.472604
[148] train-mlogloss:0.225263 eval-mlogloss:0.472388
[149] train-mlogloss:0.224334 eval-mlogloss:0.472075
[150] train-mlogloss:0.223438 eval-mlogloss:0.471741
[151] train-mlogloss:0.222492 eval-mlogloss:0.471378
[152] train-mlogloss:0.221696 eval-mlogloss:0.471075
[153] train-mlogloss:0.220962 eval-mlogloss:0.470709
[154] train-mlogloss:0.220138 eval-mlogloss:0.470392
[155] train-mlogloss:0.218927 eval-mlogloss:0.470074
[156] train-mlogloss:0.218267 eval-mlogloss:0.469778
[157] train-mlogloss:0.217319 eval-mlogloss:0.469587
[158] train-mlogloss:0.216357 eval-mlogloss:0.469262
[159] train-mlogloss:0.215548 eval-mlogloss:0.469011
[160] train-mlogloss:0.214713 eval-mlogloss:0.468781
[161] train-mlogloss:0.214004 eval-mlogloss:0.468575
[162] train-mlogloss:0.213340 eval-mlogloss:0.468499
[163] train-mlogloss:0.212541 eval-mlogloss:0.468245
[164] train-mlogloss:0.211639 eval-mlogloss:0.468005
[165] train-mlogloss:0.210678 eval-mlogloss:0.467846
[166] train-mlogloss:0.209696 eval-mlogloss:0.467519
[167] train-mlogloss:0.208919 eval-mlogloss:0.467304
[168] train-mlogloss:0.208299 eval-mlogloss:0.467200
[169] train-mlogloss:0.207839 eval-mlogloss:0.466916
[170] train-mlogloss:0.207149 eval-mlogloss:0.466643
[171] train-mlogloss:0.206609 eval-mlogloss:0.466414
[172] train-mlogloss:0.205932 eval-mlogloss:0.466183
[173] train-mlogloss:0.205400 eval-mlogloss:0.465931
[174] train-mlogloss:0.204552 eval-mlogloss:0.465710
[175] train-mlogloss:0.203627 eval-mlogloss:0.465516
[176] train-mlogloss:0.203057 eval-mlogloss:0.465271
[177] train-mlogloss:0.202425 eval-mlogloss:0.464975
[178] train-mlogloss:0.201740 eval-mlogloss:0.464730
[179] train-mlogloss:0.200849 eval-mlogloss:0.464494
[180] train-mlogloss:0.200151 eval-mlogloss:0.464369
[181] train-mlogloss:0.199512 eval-mlogloss:0.464304
[182] train-mlogloss:0.199057 eval-mlogloss:0.464196
[183] train-mlogloss:0.198348 eval-mlogloss:0.464021
[184] train-mlogloss:0.197739 eval-mlogloss:0.463894
[185] train-mlogloss:0.196931 eval-mlogloss:0.463673
[186] train-mlogloss:0.196466 eval-mlogloss:0.463610
[187] train-mlogloss:0.195487 eval-mlogloss:0.463492
[188] train-mlogloss:0.194891 eval-mlogloss:0.463345
[189] train-mlogloss:0.194124 eval-mlogloss:0.463213
[190] train-mlogloss:0.193573 eval-mlogloss:0.463150
[191] train-mlogloss:0.192875 eval-mlogloss:0.462968
[192] train-mlogloss:0.192404 eval-mlogloss:0.462908
[193] train-mlogloss:0.191768 eval-mlogloss:0.462763
[194] train-mlogloss:0.191195 eval-mlogloss:0.462525
[195] train-mlogloss:0.190526 eval-mlogloss:0.462361
[196] train-mlogloss:0.189827 eval-mlogloss:0.462164
[197] train-mlogloss:0.189230 eval-mlogloss:0.462005
[198] train-mlogloss:0.188502 eval-mlogloss:0.461844
[199] train-mlogloss:0.188080 eval-mlogloss:0.461685
[200] train-mlogloss:0.187636 eval-mlogloss:0.461580
[201] train-mlogloss:0.187124 eval-mlogloss:0.461461
[202] train-mlogloss:0.186524 eval-mlogloss:0.461332
[203] train-mlogloss:0.185795 eval-mlogloss:0.461257
[204] train-mlogloss:0.185130 eval-mlogloss:0.461267
[205] train-mlogloss:0.184467 eval-mlogloss:0.461172
[206] train-mlogloss:0.183704 eval-mlogloss:0.460902
[207] train-mlogloss:0.183185 eval-mlogloss:0.460818
[208] train-mlogloss:0.182278 eval-mlogloss:0.460709
[209] train-mlogloss:0.181587 eval-mlogloss:0.460508
[210] train-mlogloss:0.180881 eval-mlogloss:0.460383
[211] train-mlogloss:0.180422 eval-mlogloss:0.460267
[212] train-mlogloss:0.179678 eval-mlogloss:0.460186
[213] train-mlogloss:0.179027 eval-mlogloss:0.460078
[214] train-mlogloss:0.178534 eval-mlogloss:0.459979
[215] train-mlogloss:0.177870 eval-mlogloss:0.459751
[216] train-mlogloss:0.177191 eval-mlogloss:0.459622
[217] train-mlogloss:0.176671 eval-mlogloss:0.459571
[218] train-mlogloss:0.176291 eval-mlogloss:0.459451
[219] train-mlogloss:0.175684 eval-mlogloss:0.459440
[220] train-mlogloss:0.175175 eval-mlogloss:0.459440
[221] train-mlogloss:0.174718 eval-mlogloss:0.459309
[222] train-mlogloss:0.174273 eval-mlogloss:0.459279
[223] train-mlogloss:0.173775 eval-mlogloss:0.459121
[224] train-mlogloss:0.173196 eval-mlogloss:0.459015
[225] train-mlogloss:0.172704 eval-mlogloss:0.458944
[226] train-mlogloss:0.172116 eval-mlogloss:0.458842
[227] train-mlogloss:0.171414 eval-mlogloss:0.458780
[228] train-mlogloss:0.170753 eval-mlogloss:0.458672
[229] train-mlogloss:0.170213 eval-mlogloss:0.458602
[230] train-mlogloss:0.169580 eval-mlogloss:0.458531
[231] train-mlogloss:0.169112 eval-mlogloss:0.458537
[232] train-mlogloss:0.168451 eval-mlogloss:0.458275
[233] train-mlogloss:0.167875 eval-mlogloss:0.458131
[234] train-mlogloss:0.167564 eval-mlogloss:0.458024
[235] train-mlogloss:0.167132 eval-mlogloss:0.457914
[236] train-mlogloss:0.166380 eval-mlogloss:0.457736
[237] train-mlogloss:0.165999 eval-mlogloss:0.457630
[238] train-mlogloss:0.165491 eval-mlogloss:0.457561
[239] train-mlogloss:0.165148 eval-mlogloss:0.457484
[240] train-mlogloss:0.164735 eval-mlogloss:0.457386
[241] train-mlogloss:0.164459 eval-mlogloss:0.457281
[242] train-mlogloss:0.163996 eval-mlogloss:0.457124
[243] train-mlogloss:0.163701 eval-mlogloss:0.457014
[244] train-mlogloss:0.163158 eval-mlogloss:0.456817
[245] train-mlogloss:0.162508 eval-mlogloss:0.456725
[246] train-mlogloss:0.162129 eval-mlogloss:0.456614
[247] train-mlogloss:0.161811 eval-mlogloss:0.456592
[248] train-mlogloss:0.161338 eval-mlogloss:0.456473
[249] train-mlogloss:0.160914 eval-mlogloss:0.456367
[250] train-mlogloss:0.160300 eval-mlogloss:0.456188
[251] train-mlogloss:0.159773 eval-mlogloss:0.456137
[252] train-mlogloss:0.159328 eval-mlogloss:0.456115
[253] train-mlogloss:0.158916 eval-mlogloss:0.456010
[254] train-mlogloss:0.158528 eval-mlogloss:0.455994
[255] train-mlogloss:0.158059 eval-mlogloss:0.455978
[256] train-mlogloss:0.157698 eval-mlogloss:0.455887
[257] train-mlogloss:0.157249 eval-mlogloss:0.455858
[258] train-mlogloss:0.156771 eval-mlogloss:0.455859
[259] train-mlogloss:0.156427 eval-mlogloss:0.455752
[260] train-mlogloss:0.156050 eval-mlogloss:0.455687
[261] train-mlogloss:0.155628 eval-mlogloss:0.455656
[262] train-mlogloss:0.155399 eval-mlogloss:0.455673
[263] train-mlogloss:0.155067 eval-mlogloss:0.455588
[264] train-mlogloss:0.154403 eval-mlogloss:0.455502
[265] train-mlogloss:0.153951 eval-mlogloss:0.455434
[266] train-mlogloss:0.153480 eval-mlogloss:0.455393
[267] train-mlogloss:0.153046 eval-mlogloss:0.455250
[268] train-mlogloss:0.152671 eval-mlogloss:0.455220
[269] train-mlogloss:0.152138 eval-mlogloss:0.455083
[270] train-mlogloss:0.151768 eval-mlogloss:0.455023
[271] train-mlogloss:0.151291 eval-mlogloss:0.454989
[272] train-mlogloss:0.150918 eval-mlogloss:0.455006
[273] train-mlogloss:0.150486 eval-mlogloss:0.454931
[274] train-mlogloss:0.150134 eval-mlogloss:0.454867
[275] train-mlogloss:0.149735 eval-mlogloss:0.454759
[276] train-mlogloss:0.149156 eval-mlogloss:0.454722
[277] train-mlogloss:0.148890 eval-mlogloss:0.454778
[278] train-mlogloss:0.148426 eval-mlogloss:0.454734
[279] train-mlogloss:0.148080 eval-mlogloss:0.454758
[280] train-mlogloss:0.147789 eval-mlogloss:0.454703
[281] train-mlogloss:0.147447 eval-mlogloss:0.454616
[282] train-mlogloss:0.147073 eval-mlogloss:0.454600
[283] train-mlogloss:0.146630 eval-mlogloss:0.454547
[284] train-mlogloss:0.146321 eval-mlogloss:0.454518
[285] train-mlogloss:0.146052 eval-mlogloss:0.454423
[286] train-mlogloss:0.145647 eval-mlogloss:0.454452
[287] train-mlogloss:0.145318 eval-mlogloss:0.454361
[288] train-mlogloss:0.145074 eval-mlogloss:0.454282
[289] train-mlogloss:0.144787 eval-mlogloss:0.454185
[290] train-mlogloss:0.144555 eval-mlogloss:0.454159
[291] train-mlogloss:0.144052 eval-mlogloss:0.454146
[292] train-mlogloss:0.143669 eval-mlogloss:0.454131
[293] train-mlogloss:0.143290 eval-mlogloss:0.454054
[294] train-mlogloss:0.143065 eval-mlogloss:0.454069
[295] train-mlogloss:0.142766 eval-mlogloss:0.454045
[296] train-mlogloss:0.142566 eval-mlogloss:0.454010
[297] train-mlogloss:0.142317 eval-mlogloss:0.453971
[298] train-mlogloss:0.142041 eval-mlogloss:0.453963
[299] train-mlogloss:0.141702 eval-mlogloss:0.454022
[300] train-mlogloss:0.141444 eval-mlogloss:0.454025
[301] train-mlogloss:0.141138 eval-mlogloss:0.453978
[302] train-mlogloss:0.140895 eval-mlogloss:0.453998
[303] train-mlogloss:0.140480 eval-mlogloss:0.454033
[304] train-mlogloss:0.140182 eval-mlogloss:0.453993
[305] train-mlogloss:0.139701 eval-mlogloss:0.454023
[306] train-mlogloss:0.139343 eval-mlogloss:0.454088
[307] train-mlogloss:0.139026 eval-mlogloss:0.454037
Training with params :
{'eta': 0.07500000000000001, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.4540576883640846
[308] train-mlogloss:0.138577 eval-mlogloss:0.454058
Stopping. Best iteration:
[298] train-mlogloss:0.142041 eval-mlogloss:0.453963
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.137488 eval-mlogloss:2.139626
[1] train-mlogloss:2.087197 eval-mlogloss:2.090995
[2] train-mlogloss:2.036088 eval-mlogloss:2.041582
[3] train-mlogloss:1.989851 eval-mlogloss:1.997389
[4] train-mlogloss:1.946119 eval-mlogloss:1.955396
[5] train-mlogloss:1.901963 eval-mlogloss:1.912599
[6] train-mlogloss:1.862855 eval-mlogloss:1.875344
[7] train-mlogloss:1.823572 eval-mlogloss:1.837501
[8] train-mlogloss:1.786282 eval-mlogloss:1.801699
[9] train-mlogloss:1.750099 eval-mlogloss:1.766618
[10] train-mlogloss:1.717354 eval-mlogloss:1.735394
[11] train-mlogloss:1.687017 eval-mlogloss:1.706285
[12] train-mlogloss:1.657193 eval-mlogloss:1.677673
[13] train-mlogloss:1.628571 eval-mlogloss:1.650500
[14] train-mlogloss:1.600538 eval-mlogloss:1.623802
[15] train-mlogloss:1.574147 eval-mlogloss:1.598887
[16] train-mlogloss:1.546877 eval-mlogloss:1.572921
[17] train-mlogloss:1.520348 eval-mlogloss:1.547711
[18] train-mlogloss:1.494816 eval-mlogloss:1.523437
[19] train-mlogloss:1.472698 eval-mlogloss:1.502437
[20] train-mlogloss:1.448696 eval-mlogloss:1.479744
[21] train-mlogloss:1.425599 eval-mlogloss:1.457987
[22] train-mlogloss:1.403843 eval-mlogloss:1.437349
[23] train-mlogloss:1.382435 eval-mlogloss:1.417009
[24] train-mlogloss:1.361648 eval-mlogloss:1.397355
[25] train-mlogloss:1.341557 eval-mlogloss:1.378293
[26] train-mlogloss:1.323793 eval-mlogloss:1.361701
[27] train-mlogloss:1.306748 eval-mlogloss:1.345679
[28] train-mlogloss:1.288827 eval-mlogloss:1.328725
[29] train-mlogloss:1.271904 eval-mlogloss:1.312568
[30] train-mlogloss:1.254254 eval-mlogloss:1.295866
[31] train-mlogloss:1.236502 eval-mlogloss:1.279153
[32] train-mlogloss:1.220112 eval-mlogloss:1.263527
[33] train-mlogloss:1.204336 eval-mlogloss:1.248646
[34] train-mlogloss:1.188726 eval-mlogloss:1.233917
[35] train-mlogloss:1.174240 eval-mlogloss:1.220453
[36] train-mlogloss:1.159125 eval-mlogloss:1.206132
[37] train-mlogloss:1.145230 eval-mlogloss:1.193100
[38] train-mlogloss:1.131614 eval-mlogloss:1.180358
[39] train-mlogloss:1.118173 eval-mlogloss:1.167832
[40] train-mlogloss:1.104792 eval-mlogloss:1.155258
[41] train-mlogloss:1.092161 eval-mlogloss:1.143528
[42] train-mlogloss:1.079635 eval-mlogloss:1.131690
[43] train-mlogloss:1.067222 eval-mlogloss:1.120142
[44] train-mlogloss:1.054591 eval-mlogloss:1.108443
[45] train-mlogloss:1.042627 eval-mlogloss:1.097258
[46] train-mlogloss:1.031414 eval-mlogloss:1.086820
[47] train-mlogloss:1.020166 eval-mlogloss:1.076290
[48] train-mlogloss:1.008677 eval-mlogloss:1.065742
[49] train-mlogloss:0.997584 eval-mlogloss:1.055434
[50] train-mlogloss:0.986808 eval-mlogloss:1.045538
[51] train-mlogloss:0.975997 eval-mlogloss:1.035577
[52] train-mlogloss:0.965839 eval-mlogloss:1.026178
[53] train-mlogloss:0.955864 eval-mlogloss:1.016917
[54] train-mlogloss:0.946889 eval-mlogloss:1.008743
[55] train-mlogloss:0.937183 eval-mlogloss:0.999716
[56] train-mlogloss:0.927884 eval-mlogloss:0.991170
[57] train-mlogloss:0.919060 eval-mlogloss:0.983235
[58] train-mlogloss:0.910362 eval-mlogloss:0.975248
[59] train-mlogloss:0.901721 eval-mlogloss:0.967265
[60] train-mlogloss:0.893156 eval-mlogloss:0.959319
[61] train-mlogloss:0.884721 eval-mlogloss:0.951726
[62] train-mlogloss:0.876972 eval-mlogloss:0.944622
[63] train-mlogloss:0.869103 eval-mlogloss:0.937419
[64] train-mlogloss:0.860851 eval-mlogloss:0.929875
[65] train-mlogloss:0.853353 eval-mlogloss:0.923084
[66] train-mlogloss:0.845919 eval-mlogloss:0.916351
[67] train-mlogloss:0.838196 eval-mlogloss:0.909303
[68] train-mlogloss:0.831301 eval-mlogloss:0.902959
[69] train-mlogloss:0.824392 eval-mlogloss:0.896554
[70] train-mlogloss:0.817830 eval-mlogloss:0.890586
[71] train-mlogloss:0.810762 eval-mlogloss:0.884292
[72] train-mlogloss:0.803876 eval-mlogloss:0.878073
[73] train-mlogloss:0.797346 eval-mlogloss:0.872211
[74] train-mlogloss:0.791164 eval-mlogloss:0.866741
[75] train-mlogloss:0.785282 eval-mlogloss:0.861460
[76] train-mlogloss:0.779209 eval-mlogloss:0.856042
[77] train-mlogloss:0.773111 eval-mlogloss:0.850591
[78] train-mlogloss:0.767342 eval-mlogloss:0.845498
[79] train-mlogloss:0.761729 eval-mlogloss:0.840541
[80] train-mlogloss:0.755829 eval-mlogloss:0.835173
[81] train-mlogloss:0.750254 eval-mlogloss:0.830168
[82] train-mlogloss:0.744896 eval-mlogloss:0.825392
[83] train-mlogloss:0.739512 eval-mlogloss:0.820728
[84] train-mlogloss:0.733801 eval-mlogloss:0.815727
[85] train-mlogloss:0.728514 eval-mlogloss:0.811063
[86] train-mlogloss:0.722913 eval-mlogloss:0.806180
[87] train-mlogloss:0.718069 eval-mlogloss:0.801871
[88] train-mlogloss:0.713185 eval-mlogloss:0.797552
[89] train-mlogloss:0.707821 eval-mlogloss:0.792873
[90] train-mlogloss:0.702650 eval-mlogloss:0.788366
[91] train-mlogloss:0.697666 eval-mlogloss:0.784008
[92] train-mlogloss:0.692944 eval-mlogloss:0.779897
[93] train-mlogloss:0.687991 eval-mlogloss:0.775567
[94] train-mlogloss:0.683458 eval-mlogloss:0.771620
[95] train-mlogloss:0.679052 eval-mlogloss:0.767788
[96] train-mlogloss:0.674785 eval-mlogloss:0.763981
[97] train-mlogloss:0.670123 eval-mlogloss:0.759922
[98] train-mlogloss:0.666122 eval-mlogloss:0.756402
[99] train-mlogloss:0.661807 eval-mlogloss:0.752642
[100] train-mlogloss:0.657782 eval-mlogloss:0.749202
[101] train-mlogloss:0.653775 eval-mlogloss:0.745666
[102] train-mlogloss:0.649718 eval-mlogloss:0.742092
[103] train-mlogloss:0.645783 eval-mlogloss:0.738736
[104] train-mlogloss:0.641748 eval-mlogloss:0.735344
[105] train-mlogloss:0.637606 eval-mlogloss:0.731822
[106] train-mlogloss:0.634026 eval-mlogloss:0.728696
[107] train-mlogloss:0.630176 eval-mlogloss:0.725318
[108] train-mlogloss:0.626605 eval-mlogloss:0.722238
[109] train-mlogloss:0.623177 eval-mlogloss:0.719290
[110] train-mlogloss:0.619641 eval-mlogloss:0.716277
[111] train-mlogloss:0.616112 eval-mlogloss:0.713213
[112] train-mlogloss:0.612696 eval-mlogloss:0.710347
[113] train-mlogloss:0.609485 eval-mlogloss:0.707665
[114] train-mlogloss:0.605949 eval-mlogloss:0.704593
[115] train-mlogloss:0.602357 eval-mlogloss:0.701662
[116] train-mlogloss:0.599224 eval-mlogloss:0.699052
[117] train-mlogloss:0.596242 eval-mlogloss:0.696427
[118] train-mlogloss:0.593065 eval-mlogloss:0.693723
[119] train-mlogloss:0.590101 eval-mlogloss:0.691237
[120] train-mlogloss:0.586906 eval-mlogloss:0.688583
[121] train-mlogloss:0.583929 eval-mlogloss:0.686117
[122] train-mlogloss:0.580941 eval-mlogloss:0.683522
[123] train-mlogloss:0.577758 eval-mlogloss:0.680846
[124] train-mlogloss:0.574760 eval-mlogloss:0.678355
[125] train-mlogloss:0.571831 eval-mlogloss:0.675834
[126] train-mlogloss:0.569052 eval-mlogloss:0.673584
[127] train-mlogloss:0.566321 eval-mlogloss:0.671420
[128] train-mlogloss:0.563505 eval-mlogloss:0.669095
[129] train-mlogloss:0.560880 eval-mlogloss:0.666885
[130] train-mlogloss:0.558134 eval-mlogloss:0.664578
[131] train-mlogloss:0.555510 eval-mlogloss:0.662300
[132] train-mlogloss:0.552900 eval-mlogloss:0.660220
[133] train-mlogloss:0.550448 eval-mlogloss:0.658172
[134] train-mlogloss:0.548064 eval-mlogloss:0.656203
[135] train-mlogloss:0.545384 eval-mlogloss:0.653918
[136] train-mlogloss:0.542728 eval-mlogloss:0.651742
[137] train-mlogloss:0.540412 eval-mlogloss:0.649774
[138] train-mlogloss:0.538029 eval-mlogloss:0.647836
[139] train-mlogloss:0.535719 eval-mlogloss:0.645909
[140] train-mlogloss:0.533317 eval-mlogloss:0.643971
[141] train-mlogloss:0.531034 eval-mlogloss:0.642137
[142] train-mlogloss:0.528879 eval-mlogloss:0.640415
[143] train-mlogloss:0.526440 eval-mlogloss:0.638536
[144] train-mlogloss:0.524184 eval-mlogloss:0.636708
[145] train-mlogloss:0.521978 eval-mlogloss:0.634930
[146] train-mlogloss:0.519767 eval-mlogloss:0.633119
[147] train-mlogloss:0.517920 eval-mlogloss:0.631594
[148] train-mlogloss:0.515762 eval-mlogloss:0.629874
[149] train-mlogloss:0.513583 eval-mlogloss:0.628214
[150] train-mlogloss:0.511499 eval-mlogloss:0.626591
[151] train-mlogloss:0.509480 eval-mlogloss:0.624954
[152] train-mlogloss:0.507442 eval-mlogloss:0.623352
[153] train-mlogloss:0.505770 eval-mlogloss:0.621945
[154] train-mlogloss:0.503908 eval-mlogloss:0.620490
[155] train-mlogloss:0.501967 eval-mlogloss:0.619007
[156] train-mlogloss:0.500136 eval-mlogloss:0.617520
[157] train-mlogloss:0.498386 eval-mlogloss:0.616087
[158] train-mlogloss:0.496460 eval-mlogloss:0.614547
[159] train-mlogloss:0.494676 eval-mlogloss:0.613154
[160] train-mlogloss:0.492716 eval-mlogloss:0.611653
[161] train-mlogloss:0.490781 eval-mlogloss:0.610153
[162] train-mlogloss:0.488984 eval-mlogloss:0.608755
[163] train-mlogloss:0.487417 eval-mlogloss:0.607528
[164] train-mlogloss:0.485700 eval-mlogloss:0.606180
[165] train-mlogloss:0.483875 eval-mlogloss:0.604772
[166] train-mlogloss:0.482339 eval-mlogloss:0.603591
[167] train-mlogloss:0.480805 eval-mlogloss:0.602359
[168] train-mlogloss:0.479144 eval-mlogloss:0.601099
[169] train-mlogloss:0.477539 eval-mlogloss:0.599792
[170] train-mlogloss:0.475892 eval-mlogloss:0.598509
[171] train-mlogloss:0.474243 eval-mlogloss:0.597206
[172] train-mlogloss:0.472619 eval-mlogloss:0.595961
[173] train-mlogloss:0.471196 eval-mlogloss:0.594828
[174] train-mlogloss:0.469621 eval-mlogloss:0.593648
[175] train-mlogloss:0.468211 eval-mlogloss:0.592560
[176] train-mlogloss:0.466806 eval-mlogloss:0.591450
[177] train-mlogloss:0.465320 eval-mlogloss:0.590290
[178] train-mlogloss:0.463756 eval-mlogloss:0.589139
[179] train-mlogloss:0.462305 eval-mlogloss:0.588025
[180] train-mlogloss:0.460815 eval-mlogloss:0.586889
[181] train-mlogloss:0.459347 eval-mlogloss:0.585776
[182] train-mlogloss:0.457941 eval-mlogloss:0.584668
[183] train-mlogloss:0.456370 eval-mlogloss:0.583506
[184] train-mlogloss:0.455020 eval-mlogloss:0.582377
[185] train-mlogloss:0.453773 eval-mlogloss:0.581413
[186] train-mlogloss:0.452387 eval-mlogloss:0.580361
[187] train-mlogloss:0.451038 eval-mlogloss:0.579314
[188] train-mlogloss:0.449687 eval-mlogloss:0.578255
[189] train-mlogloss:0.448399 eval-mlogloss:0.577287
[190] train-mlogloss:0.446962 eval-mlogloss:0.576250
[191] train-mlogloss:0.445745 eval-mlogloss:0.575275
[192] train-mlogloss:0.444317 eval-mlogloss:0.574310
[193] train-mlogloss:0.443087 eval-mlogloss:0.573375
[194] train-mlogloss:0.441843 eval-mlogloss:0.572456
[195] train-mlogloss:0.440536 eval-mlogloss:0.571469
[196] train-mlogloss:0.439330 eval-mlogloss:0.570567
[197] train-mlogloss:0.438325 eval-mlogloss:0.569740
[198] train-mlogloss:0.437168 eval-mlogloss:0.568819
[199] train-mlogloss:0.436020 eval-mlogloss:0.567981
[200] train-mlogloss:0.434961 eval-mlogloss:0.567118
[201] train-mlogloss:0.433724 eval-mlogloss:0.566212
[202] train-mlogloss:0.432626 eval-mlogloss:0.565374
[203] train-mlogloss:0.431495 eval-mlogloss:0.564534
[204] train-mlogloss:0.430360 eval-mlogloss:0.563711
[205] train-mlogloss:0.429234 eval-mlogloss:0.562868
[206] train-mlogloss:0.427970 eval-mlogloss:0.561984
[207] train-mlogloss:0.426910 eval-mlogloss:0.561206
[208] train-mlogloss:0.425808 eval-mlogloss:0.560371
[209] train-mlogloss:0.424777 eval-mlogloss:0.559624
[210] train-mlogloss:0.423847 eval-mlogloss:0.558962
[211] train-mlogloss:0.422684 eval-mlogloss:0.558167
[212] train-mlogloss:0.421657 eval-mlogloss:0.557399
[213] train-mlogloss:0.420634 eval-mlogloss:0.556671
[214] train-mlogloss:0.419727 eval-mlogloss:0.556012
[215] train-mlogloss:0.418708 eval-mlogloss:0.555290
[216] train-mlogloss:0.417827 eval-mlogloss:0.554627
[217] train-mlogloss:0.416910 eval-mlogloss:0.553944
[218] train-mlogloss:0.415917 eval-mlogloss:0.553334
[219] train-mlogloss:0.415034 eval-mlogloss:0.552592
[220] train-mlogloss:0.414225 eval-mlogloss:0.551972
[221] train-mlogloss:0.413418 eval-mlogloss:0.551380
[222] train-mlogloss:0.412435 eval-mlogloss:0.550653
[223] train-mlogloss:0.411402 eval-mlogloss:0.549959
[224] train-mlogloss:0.410630 eval-mlogloss:0.549415
[225] train-mlogloss:0.409823 eval-mlogloss:0.548789
[226] train-mlogloss:0.409011 eval-mlogloss:0.548208
[227] train-mlogloss:0.408068 eval-mlogloss:0.547587
[228] train-mlogloss:0.407228 eval-mlogloss:0.546983
[229] train-mlogloss:0.406378 eval-mlogloss:0.546305
[230] train-mlogloss:0.405501 eval-mlogloss:0.545718
[231] train-mlogloss:0.404714 eval-mlogloss:0.545107
[232] train-mlogloss:0.403760 eval-mlogloss:0.544423
[233] train-mlogloss:0.402952 eval-mlogloss:0.543877
[234] train-mlogloss:0.402131 eval-mlogloss:0.543345
[235] train-mlogloss:0.401413 eval-mlogloss:0.542790
[236] train-mlogloss:0.400627 eval-mlogloss:0.542241
[237] train-mlogloss:0.399900 eval-mlogloss:0.541728
[238] train-mlogloss:0.399088 eval-mlogloss:0.541207
[239] train-mlogloss:0.398241 eval-mlogloss:0.540639
[240] train-mlogloss:0.397469 eval-mlogloss:0.540074
[241] train-mlogloss:0.396564 eval-mlogloss:0.539499
[242] train-mlogloss:0.395840 eval-mlogloss:0.538936
[243] train-mlogloss:0.395064 eval-mlogloss:0.538375
[244] train-mlogloss:0.394344 eval-mlogloss:0.537807
[245] train-mlogloss:0.393694 eval-mlogloss:0.537310
[246] train-mlogloss:0.392927 eval-mlogloss:0.536739
[247] train-mlogloss:0.392142 eval-mlogloss:0.536207
[248] train-mlogloss:0.391444 eval-mlogloss:0.535774
[249] train-mlogloss:0.390816 eval-mlogloss:0.535345
[250] train-mlogloss:0.390078 eval-mlogloss:0.534840
[251] train-mlogloss:0.389369 eval-mlogloss:0.534333
[252] train-mlogloss:0.388678 eval-mlogloss:0.533886
[253] train-mlogloss:0.387951 eval-mlogloss:0.533418
[254] train-mlogloss:0.387317 eval-mlogloss:0.533013
[255] train-mlogloss:0.386774 eval-mlogloss:0.532591
[256] train-mlogloss:0.386203 eval-mlogloss:0.532197
[257] train-mlogloss:0.385525 eval-mlogloss:0.531764
[258] train-mlogloss:0.384918 eval-mlogloss:0.531342
[259] train-mlogloss:0.384325 eval-mlogloss:0.530894
[260] train-mlogloss:0.383710 eval-mlogloss:0.530516
[261] train-mlogloss:0.383138 eval-mlogloss:0.530119
[262] train-mlogloss:0.382492 eval-mlogloss:0.529647
[263] train-mlogloss:0.381840 eval-mlogloss:0.529226
[264] train-mlogloss:0.381239 eval-mlogloss:0.528815
[265] train-mlogloss:0.380648 eval-mlogloss:0.528405
[266] train-mlogloss:0.380120 eval-mlogloss:0.528017
[267] train-mlogloss:0.379580 eval-mlogloss:0.527641
[268] train-mlogloss:0.379052 eval-mlogloss:0.527225
[269] train-mlogloss:0.378442 eval-mlogloss:0.526820
[270] train-mlogloss:0.377816 eval-mlogloss:0.526399
[271] train-mlogloss:0.377137 eval-mlogloss:0.525952
[272] train-mlogloss:0.376549 eval-mlogloss:0.525564
[273] train-mlogloss:0.375944 eval-mlogloss:0.525149
[274] train-mlogloss:0.375473 eval-mlogloss:0.524810
[275] train-mlogloss:0.374959 eval-mlogloss:0.524428
[276] train-mlogloss:0.374356 eval-mlogloss:0.524010
[277] train-mlogloss:0.373798 eval-mlogloss:0.523604
[278] train-mlogloss:0.373257 eval-mlogloss:0.523237
[279] train-mlogloss:0.372698 eval-mlogloss:0.522886
[280] train-mlogloss:0.372162 eval-mlogloss:0.522501
[281] train-mlogloss:0.371632 eval-mlogloss:0.522152
[282] train-mlogloss:0.371095 eval-mlogloss:0.521799
[283] train-mlogloss:0.370646 eval-mlogloss:0.521459
[284] train-mlogloss:0.370137 eval-mlogloss:0.521094
[285] train-mlogloss:0.369645 eval-mlogloss:0.520737
[286] train-mlogloss:0.369072 eval-mlogloss:0.520385
[287] train-mlogloss:0.368521 eval-mlogloss:0.520050
[288] train-mlogloss:0.368087 eval-mlogloss:0.519707
[289] train-mlogloss:0.367494 eval-mlogloss:0.519299
[290] train-mlogloss:0.366958 eval-mlogloss:0.518924
[291] train-mlogloss:0.366454 eval-mlogloss:0.518572
[292] train-mlogloss:0.365955 eval-mlogloss:0.518228
[293] train-mlogloss:0.365516 eval-mlogloss:0.517942
[294] train-mlogloss:0.365036 eval-mlogloss:0.517641
[295] train-mlogloss:0.364547 eval-mlogloss:0.517287
[296] train-mlogloss:0.364054 eval-mlogloss:0.516963
[297] train-mlogloss:0.363654 eval-mlogloss:0.516650
[298] train-mlogloss:0.363138 eval-mlogloss:0.516334
[299] train-mlogloss:0.362583 eval-mlogloss:0.515982
[300] train-mlogloss:0.362180 eval-mlogloss:0.515697
[301] train-mlogloss:0.361706 eval-mlogloss:0.515435
[302] train-mlogloss:0.361332 eval-mlogloss:0.515192
[303] train-mlogloss:0.360849 eval-mlogloss:0.514894
[304] train-mlogloss:0.360387 eval-mlogloss:0.514608
[305] train-mlogloss:0.359980 eval-mlogloss:0.514356
[306] train-mlogloss:0.359427 eval-mlogloss:0.514044
[307] train-mlogloss:0.359006 eval-mlogloss:0.513811
[308] train-mlogloss:0.358550 eval-mlogloss:0.513524
[309] train-mlogloss:0.358036 eval-mlogloss:0.513205
[310] train-mlogloss:0.357533 eval-mlogloss:0.512898
[311] train-mlogloss:0.357078 eval-mlogloss:0.512627
[312] train-mlogloss:0.356650 eval-mlogloss:0.512338
[313] train-mlogloss:0.356245 eval-mlogloss:0.512075
[314] train-mlogloss:0.355751 eval-mlogloss:0.511732
[315] train-mlogloss:0.355352 eval-mlogloss:0.511476
[316] train-mlogloss:0.354984 eval-mlogloss:0.511223
[317] train-mlogloss:0.354515 eval-mlogloss:0.510915
[318] train-mlogloss:0.354121 eval-mlogloss:0.510651
[319] train-mlogloss:0.353658 eval-mlogloss:0.510355
[320] train-mlogloss:0.353198 eval-mlogloss:0.510109
[321] train-mlogloss:0.352773 eval-mlogloss:0.509882
[322] train-mlogloss:0.352364 eval-mlogloss:0.509635
[323] train-mlogloss:0.351871 eval-mlogloss:0.509360
[324] train-mlogloss:0.351499 eval-mlogloss:0.509102
[325] train-mlogloss:0.351125 eval-mlogloss:0.508840
[326] train-mlogloss:0.350676 eval-mlogloss:0.508546
[327] train-mlogloss:0.350234 eval-mlogloss:0.508285
[328] train-mlogloss:0.349830 eval-mlogloss:0.508042
[329] train-mlogloss:0.349368 eval-mlogloss:0.507798
[330] train-mlogloss:0.348956 eval-mlogloss:0.507536
[331] train-mlogloss:0.348541 eval-mlogloss:0.507288
[332] train-mlogloss:0.348154 eval-mlogloss:0.507027
[333] train-mlogloss:0.347837 eval-mlogloss:0.506816
[334] train-mlogloss:0.347251 eval-mlogloss:0.506506
[335] train-mlogloss:0.346962 eval-mlogloss:0.506330
[336] train-mlogloss:0.346559 eval-mlogloss:0.506083
[337] train-mlogloss:0.346075 eval-mlogloss:0.505784
[338] train-mlogloss:0.345672 eval-mlogloss:0.505539
[339] train-mlogloss:0.345257 eval-mlogloss:0.505286
[340] train-mlogloss:0.344961 eval-mlogloss:0.505071
[341] train-mlogloss:0.344627 eval-mlogloss:0.504858
[342] train-mlogloss:0.344240 eval-mlogloss:0.504595
[343] train-mlogloss:0.343879 eval-mlogloss:0.504374
[344] train-mlogloss:0.343456 eval-mlogloss:0.504114
[345] train-mlogloss:0.343108 eval-mlogloss:0.503897
[346] train-mlogloss:0.342695 eval-mlogloss:0.503675
[347] train-mlogloss:0.342307 eval-mlogloss:0.503452
[348] train-mlogloss:0.341964 eval-mlogloss:0.503246
[349] train-mlogloss:0.341541 eval-mlogloss:0.502994
[350] train-mlogloss:0.341143 eval-mlogloss:0.502749
[351] train-mlogloss:0.340709 eval-mlogloss:0.502497
[352] train-mlogloss:0.340227 eval-mlogloss:0.502226
[353] train-mlogloss:0.339874 eval-mlogloss:0.502006
[354] train-mlogloss:0.339584 eval-mlogloss:0.501817
[355] train-mlogloss:0.339290 eval-mlogloss:0.501628
[356] train-mlogloss:0.339002 eval-mlogloss:0.501465
[357] train-mlogloss:0.338721 eval-mlogloss:0.501294
[358] train-mlogloss:0.338366 eval-mlogloss:0.501071
[359] train-mlogloss:0.338041 eval-mlogloss:0.500864
[360] train-mlogloss:0.337733 eval-mlogloss:0.500700
[361] train-mlogloss:0.337455 eval-mlogloss:0.500508
[362] train-mlogloss:0.337168 eval-mlogloss:0.500342
[363] train-mlogloss:0.336846 eval-mlogloss:0.500189
[364] train-mlogloss:0.336512 eval-mlogloss:0.499983
[365] train-mlogloss:0.336180 eval-mlogloss:0.499840
[366] train-mlogloss:0.335895 eval-mlogloss:0.499685
[367] train-mlogloss:0.335512 eval-mlogloss:0.499468
[368] train-mlogloss:0.335123 eval-mlogloss:0.499246
[369] train-mlogloss:0.334845 eval-mlogloss:0.499101
[370] train-mlogloss:0.334463 eval-mlogloss:0.498901
[371] train-mlogloss:0.334196 eval-mlogloss:0.498749
[372] train-mlogloss:0.333963 eval-mlogloss:0.498586
[373] train-mlogloss:0.333567 eval-mlogloss:0.498384
[374] train-mlogloss:0.333255 eval-mlogloss:0.498218
[375] train-mlogloss:0.333004 eval-mlogloss:0.498055
[376] train-mlogloss:0.332660 eval-mlogloss:0.497847
[377] train-mlogloss:0.332406 eval-mlogloss:0.497690
[378] train-mlogloss:0.331986 eval-mlogloss:0.497514
[379] train-mlogloss:0.331617 eval-mlogloss:0.497354
[380] train-mlogloss:0.331222 eval-mlogloss:0.497133
[381] train-mlogloss:0.330904 eval-mlogloss:0.496996
[382] train-mlogloss:0.330572 eval-mlogloss:0.496775
[383] train-mlogloss:0.330261 eval-mlogloss:0.496622
[384] train-mlogloss:0.329965 eval-mlogloss:0.496458
[385] train-mlogloss:0.329694 eval-mlogloss:0.496317
[386] train-mlogloss:0.329398 eval-mlogloss:0.496154
[387] train-mlogloss:0.329017 eval-mlogloss:0.495965
[388] train-mlogloss:0.328649 eval-mlogloss:0.495802
[389] train-mlogloss:0.328388 eval-mlogloss:0.495624
[390] train-mlogloss:0.328124 eval-mlogloss:0.495487
[391] train-mlogloss:0.327836 eval-mlogloss:0.495339
[392] train-mlogloss:0.327445 eval-mlogloss:0.495166
[393] train-mlogloss:0.327111 eval-mlogloss:0.495001
[394] train-mlogloss:0.326852 eval-mlogloss:0.494877
[395] train-mlogloss:0.326577 eval-mlogloss:0.494726
[396] train-mlogloss:0.326266 eval-mlogloss:0.494590
[397] train-mlogloss:0.325981 eval-mlogloss:0.494482
[398] train-mlogloss:0.325635 eval-mlogloss:0.494335
[399] train-mlogloss:0.325267 eval-mlogloss:0.494108
[400] train-mlogloss:0.325060 eval-mlogloss:0.494013
[401] train-mlogloss:0.324718 eval-mlogloss:0.493849
[402] train-mlogloss:0.324483 eval-mlogloss:0.493702
[403] train-mlogloss:0.324228 eval-mlogloss:0.493566
[404] train-mlogloss:0.323955 eval-mlogloss:0.493435
[405] train-mlogloss:0.323710 eval-mlogloss:0.493308
[406] train-mlogloss:0.323419 eval-mlogloss:0.493140
[407] train-mlogloss:0.323179 eval-mlogloss:0.493019
[408] train-mlogloss:0.322851 eval-mlogloss:0.492861
[409] train-mlogloss:0.322514 eval-mlogloss:0.492672
[410] train-mlogloss:0.322283 eval-mlogloss:0.492519
[411] train-mlogloss:0.322045 eval-mlogloss:0.492383
[412] train-mlogloss:0.321699 eval-mlogloss:0.492233
[413] train-mlogloss:0.321394 eval-mlogloss:0.492108
[414] train-mlogloss:0.321178 eval-mlogloss:0.491992
[415] train-mlogloss:0.320839 eval-mlogloss:0.491830
[416] train-mlogloss:0.320630 eval-mlogloss:0.491692
[417] train-mlogloss:0.320387 eval-mlogloss:0.491570
[418] train-mlogloss:0.320083 eval-mlogloss:0.491395
[419] train-mlogloss:0.319877 eval-mlogloss:0.491283
[420] train-mlogloss:0.319666 eval-mlogloss:0.491176
[421] train-mlogloss:0.319345 eval-mlogloss:0.490996
[422] train-mlogloss:0.318971 eval-mlogloss:0.490840
[423] train-mlogloss:0.318704 eval-mlogloss:0.490678
[424] train-mlogloss:0.318404 eval-mlogloss:0.490512
[425] train-mlogloss:0.318125 eval-mlogloss:0.490362
[426] train-mlogloss:0.317814 eval-mlogloss:0.490202
[427] train-mlogloss:0.317569 eval-mlogloss:0.490074
[428] train-mlogloss:0.317368 eval-mlogloss:0.489963
[429] train-mlogloss:0.317100 eval-mlogloss:0.489829
[430] train-mlogloss:0.316824 eval-mlogloss:0.489700
[431] train-mlogloss:0.316508 eval-mlogloss:0.489539
[432] train-mlogloss:0.316264 eval-mlogloss:0.489400
[433] train-mlogloss:0.315950 eval-mlogloss:0.489274
[434] train-mlogloss:0.315691 eval-mlogloss:0.489126
[435] train-mlogloss:0.315415 eval-mlogloss:0.489012
[436] train-mlogloss:0.315057 eval-mlogloss:0.488862
[437] train-mlogloss:0.314733 eval-mlogloss:0.488721
[438] train-mlogloss:0.314534 eval-mlogloss:0.488585
[439] train-mlogloss:0.314261 eval-mlogloss:0.488451
[440] train-mlogloss:0.313975 eval-mlogloss:0.488327
[441] train-mlogloss:0.313764 eval-mlogloss:0.488211
[442] train-mlogloss:0.313479 eval-mlogloss:0.488081
[443] train-mlogloss:0.313250 eval-mlogloss:0.487976
[444] train-mlogloss:0.312921 eval-mlogloss:0.487860
[445] train-mlogloss:0.312737 eval-mlogloss:0.487753
[446] train-mlogloss:0.312518 eval-mlogloss:0.487612
[447] train-mlogloss:0.312174 eval-mlogloss:0.487474
[448] train-mlogloss:0.311908 eval-mlogloss:0.487348
[449] train-mlogloss:0.311625 eval-mlogloss:0.487190
[450] train-mlogloss:0.311440 eval-mlogloss:0.487077
[451] train-mlogloss:0.311076 eval-mlogloss:0.486974
[452] train-mlogloss:0.310832 eval-mlogloss:0.486828
[453] train-mlogloss:0.310545 eval-mlogloss:0.486679
[454] train-mlogloss:0.310265 eval-mlogloss:0.486532
[455] train-mlogloss:0.309966 eval-mlogloss:0.486396
[456] train-mlogloss:0.309612 eval-mlogloss:0.486284
[457] train-mlogloss:0.309358 eval-mlogloss:0.486154
[458] train-mlogloss:0.309065 eval-mlogloss:0.486033
[459] train-mlogloss:0.308812 eval-mlogloss:0.485899
[460] train-mlogloss:0.308545 eval-mlogloss:0.485789
[461] train-mlogloss:0.308316 eval-mlogloss:0.485686
[462] train-mlogloss:0.308053 eval-mlogloss:0.485560
[463] train-mlogloss:0.307808 eval-mlogloss:0.485467
[464] train-mlogloss:0.307601 eval-mlogloss:0.485366
[465] train-mlogloss:0.307272 eval-mlogloss:0.485237
[466] train-mlogloss:0.306935 eval-mlogloss:0.485090
[467] train-mlogloss:0.306636 eval-mlogloss:0.484967
[468] train-mlogloss:0.306344 eval-mlogloss:0.484836
[469] train-mlogloss:0.306126 eval-mlogloss:0.484730
[470] train-mlogloss:0.305839 eval-mlogloss:0.484635
[471] train-mlogloss:0.305604 eval-mlogloss:0.484518
[472] train-mlogloss:0.305376 eval-mlogloss:0.484421
[473] train-mlogloss:0.305068 eval-mlogloss:0.484243
[474] train-mlogloss:0.304824 eval-mlogloss:0.484156
[475] train-mlogloss:0.304623 eval-mlogloss:0.484061
[476] train-mlogloss:0.304341 eval-mlogloss:0.483898
[477] train-mlogloss:0.303964 eval-mlogloss:0.483782
[478] train-mlogloss:0.303723 eval-mlogloss:0.483689
[479] train-mlogloss:0.303520 eval-mlogloss:0.483600
[480] train-mlogloss:0.303175 eval-mlogloss:0.483444
[481] train-mlogloss:0.302988 eval-mlogloss:0.483352
[482] train-mlogloss:0.302764 eval-mlogloss:0.483256
[483] train-mlogloss:0.302528 eval-mlogloss:0.483145
[484] train-mlogloss:0.302320 eval-mlogloss:0.483035
[485] train-mlogloss:0.302140 eval-mlogloss:0.482929
[486] train-mlogloss:0.301875 eval-mlogloss:0.482817
[487] train-mlogloss:0.301606 eval-mlogloss:0.482701
[488] train-mlogloss:0.301376 eval-mlogloss:0.482618
[489] train-mlogloss:0.301160 eval-mlogloss:0.482485
[490] train-mlogloss:0.300980 eval-mlogloss:0.482384
[491] train-mlogloss:0.300825 eval-mlogloss:0.482318
[492] train-mlogloss:0.300551 eval-mlogloss:0.482193
[493] train-mlogloss:0.300348 eval-mlogloss:0.482094
[494] train-mlogloss:0.300232 eval-mlogloss:0.482014
[495] train-mlogloss:0.300049 eval-mlogloss:0.481925
[496] train-mlogloss:0.299877 eval-mlogloss:0.481828
[497] train-mlogloss:0.299677 eval-mlogloss:0.481744
[498] train-mlogloss:0.299373 eval-mlogloss:0.481615
[499] train-mlogloss:0.299180 eval-mlogloss:0.481502
Training with params :
{'eta': 0.025, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.6000000000000001, 'max_depth': 9.0, 'silent': 1, 'subsample': 1.0, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.6000000000000001}
Score 0.48150170421480737
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.806342 eval-mlogloss:1.835809
[1] train-mlogloss:1.551935 eval-mlogloss:1.606501
[2] train-mlogloss:1.370784 eval-mlogloss:1.445338
[3] train-mlogloss:1.226546 eval-mlogloss:1.317136
[4] train-mlogloss:1.106438 eval-mlogloss:1.211040
[5] train-mlogloss:1.009403 eval-mlogloss:1.126190
[6] train-mlogloss:0.921357 eval-mlogloss:1.051531
[7] train-mlogloss:0.847483 eval-mlogloss:0.988617
[8] train-mlogloss:0.784137 eval-mlogloss:0.935816
[9] train-mlogloss:0.728294 eval-mlogloss:0.888010
[10] train-mlogloss:0.678410 eval-mlogloss:0.846790
[11] train-mlogloss:0.635932 eval-mlogloss:0.812166
[12] train-mlogloss:0.597943 eval-mlogloss:0.780342
[13] train-mlogloss:0.563368 eval-mlogloss:0.752390
[14] train-mlogloss:0.532161 eval-mlogloss:0.727080
[15] train-mlogloss:0.505979 eval-mlogloss:0.704906
[16] train-mlogloss:0.479104 eval-mlogloss:0.684128
[17] train-mlogloss:0.456725 eval-mlogloss:0.666846
[18] train-mlogloss:0.436476 eval-mlogloss:0.650690
[19] train-mlogloss:0.416559 eval-mlogloss:0.635218
[20] train-mlogloss:0.400691 eval-mlogloss:0.622704
[21] train-mlogloss:0.384593 eval-mlogloss:0.610448
[22] train-mlogloss:0.370641 eval-mlogloss:0.599691
[23] train-mlogloss:0.358352 eval-mlogloss:0.590689
[24] train-mlogloss:0.347142 eval-mlogloss:0.582160
[25] train-mlogloss:0.335876 eval-mlogloss:0.573763
[26] train-mlogloss:0.326052 eval-mlogloss:0.566513
[27] train-mlogloss:0.316348 eval-mlogloss:0.559518
[28] train-mlogloss:0.307776 eval-mlogloss:0.553469
[29] train-mlogloss:0.301031 eval-mlogloss:0.547957
[30] train-mlogloss:0.293104 eval-mlogloss:0.542657
[31] train-mlogloss:0.285207 eval-mlogloss:0.537333
[32] train-mlogloss:0.278485 eval-mlogloss:0.532911
[33] train-mlogloss:0.272201 eval-mlogloss:0.528864
[34] train-mlogloss:0.267149 eval-mlogloss:0.525110
[35] train-mlogloss:0.262383 eval-mlogloss:0.521642
[36] train-mlogloss:0.257726 eval-mlogloss:0.518565
[37] train-mlogloss:0.254183 eval-mlogloss:0.515836
[38] train-mlogloss:0.249894 eval-mlogloss:0.512858
[39] train-mlogloss:0.245624 eval-mlogloss:0.510207
[40] train-mlogloss:0.241057 eval-mlogloss:0.507618
[41] train-mlogloss:0.237835 eval-mlogloss:0.505544
[42] train-mlogloss:0.234478 eval-mlogloss:0.503198
[43] train-mlogloss:0.231752 eval-mlogloss:0.501315
[44] train-mlogloss:0.228087 eval-mlogloss:0.499336
[45] train-mlogloss:0.225160 eval-mlogloss:0.497642
[46] train-mlogloss:0.221965 eval-mlogloss:0.495944
[47] train-mlogloss:0.218946 eval-mlogloss:0.494550
[48] train-mlogloss:0.216552 eval-mlogloss:0.493236
[49] train-mlogloss:0.214545 eval-mlogloss:0.492112
[50] train-mlogloss:0.212434 eval-mlogloss:0.490865
[51] train-mlogloss:0.210216 eval-mlogloss:0.489776
[52] train-mlogloss:0.207881 eval-mlogloss:0.488721
[53] train-mlogloss:0.206152 eval-mlogloss:0.487719
[54] train-mlogloss:0.204447 eval-mlogloss:0.486654
[55] train-mlogloss:0.201652 eval-mlogloss:0.485390
[56] train-mlogloss:0.199975 eval-mlogloss:0.484379
[57] train-mlogloss:0.198170 eval-mlogloss:0.483354
[58] train-mlogloss:0.196846 eval-mlogloss:0.482605
[59] train-mlogloss:0.195122 eval-mlogloss:0.481854
[60] train-mlogloss:0.193646 eval-mlogloss:0.480973
[61] train-mlogloss:0.192360 eval-mlogloss:0.480474
[62] train-mlogloss:0.190878 eval-mlogloss:0.479666
[63] train-mlogloss:0.189878 eval-mlogloss:0.479122
[64] train-mlogloss:0.188771 eval-mlogloss:0.478455
[65] train-mlogloss:0.187558 eval-mlogloss:0.477773
[66] train-mlogloss:0.186467 eval-mlogloss:0.476972
[67] train-mlogloss:0.184460 eval-mlogloss:0.476320
[68] train-mlogloss:0.183593 eval-mlogloss:0.475701
[69] train-mlogloss:0.182323 eval-mlogloss:0.475143
[70] train-mlogloss:0.181298 eval-mlogloss:0.474704
[71] train-mlogloss:0.179644 eval-mlogloss:0.474000
[72] train-mlogloss:0.178360 eval-mlogloss:0.473548
[73] train-mlogloss:0.177110 eval-mlogloss:0.473045
[74] train-mlogloss:0.175914 eval-mlogloss:0.472581
[75] train-mlogloss:0.175061 eval-mlogloss:0.472243
[76] train-mlogloss:0.174319 eval-mlogloss:0.472062
[77] train-mlogloss:0.173360 eval-mlogloss:0.471702
[78] train-mlogloss:0.172625 eval-mlogloss:0.471201
[79] train-mlogloss:0.171625 eval-mlogloss:0.470847
[80] train-mlogloss:0.170099 eval-mlogloss:0.470350
[81] train-mlogloss:0.169557 eval-mlogloss:0.469940
[82] train-mlogloss:0.168053 eval-mlogloss:0.469574
[83] train-mlogloss:0.167072 eval-mlogloss:0.469319
[84] train-mlogloss:0.166217 eval-mlogloss:0.468975
[85] train-mlogloss:0.165297 eval-mlogloss:0.468792
[86] train-mlogloss:0.164342 eval-mlogloss:0.468646
[87] train-mlogloss:0.163237 eval-mlogloss:0.468244
[88] train-mlogloss:0.161900 eval-mlogloss:0.468229
[89] train-mlogloss:0.160707 eval-mlogloss:0.467941
[90] train-mlogloss:0.160050 eval-mlogloss:0.467625
[91] train-mlogloss:0.159280 eval-mlogloss:0.467503
[92] train-mlogloss:0.158666 eval-mlogloss:0.467373
[93] train-mlogloss:0.157786 eval-mlogloss:0.467124
[94] train-mlogloss:0.156920 eval-mlogloss:0.466862
[95] train-mlogloss:0.156184 eval-mlogloss:0.466735
[96] train-mlogloss:0.155336 eval-mlogloss:0.466717
[97] train-mlogloss:0.154451 eval-mlogloss:0.466409
[98] train-mlogloss:0.153569 eval-mlogloss:0.466226
[99] train-mlogloss:0.153139 eval-mlogloss:0.466011
[100] train-mlogloss:0.152532 eval-mlogloss:0.465747
[101] train-mlogloss:0.151595 eval-mlogloss:0.465575
[102] train-mlogloss:0.150662 eval-mlogloss:0.465416
[103] train-mlogloss:0.150204 eval-mlogloss:0.465352
[104] train-mlogloss:0.149759 eval-mlogloss:0.465214
[105] train-mlogloss:0.149444 eval-mlogloss:0.465129
[106] train-mlogloss:0.148801 eval-mlogloss:0.465127
[107] train-mlogloss:0.148282 eval-mlogloss:0.464870
[108] train-mlogloss:0.147472 eval-mlogloss:0.464639
[109] train-mlogloss:0.146377 eval-mlogloss:0.464461
[110] train-mlogloss:0.145858 eval-mlogloss:0.464424
[111] train-mlogloss:0.145479 eval-mlogloss:0.464257
[112] train-mlogloss:0.145132 eval-mlogloss:0.464098
[113] train-mlogloss:0.144444 eval-mlogloss:0.464040
[114] train-mlogloss:0.143965 eval-mlogloss:0.463821
[115] train-mlogloss:0.143544 eval-mlogloss:0.463777
[116] train-mlogloss:0.143010 eval-mlogloss:0.463550
[117] train-mlogloss:0.142488 eval-mlogloss:0.463285
[118] train-mlogloss:0.141919 eval-mlogloss:0.463169
[119] train-mlogloss:0.141595 eval-mlogloss:0.462945
[120] train-mlogloss:0.140756 eval-mlogloss:0.462932
[121] train-mlogloss:0.139881 eval-mlogloss:0.462722
[122] train-mlogloss:0.139446 eval-mlogloss:0.462602
[123] train-mlogloss:0.138602 eval-mlogloss:0.462488
[124] train-mlogloss:0.137920 eval-mlogloss:0.462422
[125] train-mlogloss:0.137109 eval-mlogloss:0.462296
[126] train-mlogloss:0.136646 eval-mlogloss:0.462247
[127] train-mlogloss:0.136207 eval-mlogloss:0.462201
[128] train-mlogloss:0.135753 eval-mlogloss:0.462236
[129] train-mlogloss:0.134932 eval-mlogloss:0.462179
[130] train-mlogloss:0.134624 eval-mlogloss:0.462261
[131] train-mlogloss:0.134224 eval-mlogloss:0.462240
[132] train-mlogloss:0.133759 eval-mlogloss:0.462042
[133] train-mlogloss:0.133324 eval-mlogloss:0.461998
[134] train-mlogloss:0.132939 eval-mlogloss:0.461969
[135] train-mlogloss:0.132221 eval-mlogloss:0.462006
[136] train-mlogloss:0.131932 eval-mlogloss:0.462017
[137] train-mlogloss:0.131656 eval-mlogloss:0.461933
[138] train-mlogloss:0.131337 eval-mlogloss:0.461942
[139] train-mlogloss:0.131091 eval-mlogloss:0.461846
[140] train-mlogloss:0.130865 eval-mlogloss:0.461750
[141] train-mlogloss:0.130565 eval-mlogloss:0.461734
[142] train-mlogloss:0.129850 eval-mlogloss:0.461614
[143] train-mlogloss:0.129058 eval-mlogloss:0.461515
[144] train-mlogloss:0.128737 eval-mlogloss:0.461517
[145] train-mlogloss:0.128037 eval-mlogloss:0.461394
[146] train-mlogloss:0.127813 eval-mlogloss:0.461392
[147] train-mlogloss:0.127429 eval-mlogloss:0.461228
[148] train-mlogloss:0.126903 eval-mlogloss:0.461267
[149] train-mlogloss:0.126300 eval-mlogloss:0.461058
[150] train-mlogloss:0.126056 eval-mlogloss:0.461039
[151] train-mlogloss:0.125822 eval-mlogloss:0.461093
[152] train-mlogloss:0.125497 eval-mlogloss:0.461005
[153] train-mlogloss:0.125195 eval-mlogloss:0.461043
[154] train-mlogloss:0.124635 eval-mlogloss:0.461022
[155] train-mlogloss:0.124487 eval-mlogloss:0.461014
[156] train-mlogloss:0.124071 eval-mlogloss:0.460911
[157] train-mlogloss:0.123759 eval-mlogloss:0.460926
[158] train-mlogloss:0.123479 eval-mlogloss:0.460941
[159] train-mlogloss:0.123079 eval-mlogloss:0.460888
[160] train-mlogloss:0.122882 eval-mlogloss:0.460857
[161] train-mlogloss:0.122595 eval-mlogloss:0.460823
[162] train-mlogloss:0.122420 eval-mlogloss:0.460892
[163] train-mlogloss:0.122066 eval-mlogloss:0.460932
[164] train-mlogloss:0.121754 eval-mlogloss:0.460914
[165] train-mlogloss:0.121292 eval-mlogloss:0.460885
[166] train-mlogloss:0.120930 eval-mlogloss:0.460864
[167] train-mlogloss:0.120381 eval-mlogloss:0.460907
[168] train-mlogloss:0.119834 eval-mlogloss:0.460982
[169] train-mlogloss:0.119657 eval-mlogloss:0.460888
[170] train-mlogloss:0.119213 eval-mlogloss:0.460835
Training with params :
{'eta': 0.15000000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 13.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 1.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.460851740748395
[171] train-mlogloss:0.119000 eval-mlogloss:0.460852
Stopping. Best iteration:
[161] train-mlogloss:0.122595 eval-mlogloss:0.460823
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.000807 eval-mlogloss:2.002788
[1] train-mlogloss:1.882994 eval-mlogloss:1.885885
[2] train-mlogloss:1.766152 eval-mlogloss:1.770959
[3] train-mlogloss:1.660432 eval-mlogloss:1.665370
[4] train-mlogloss:1.578849 eval-mlogloss:1.584218
[5] train-mlogloss:1.502605 eval-mlogloss:1.508936
[6] train-mlogloss:1.428657 eval-mlogloss:1.436377
[7] train-mlogloss:1.367794 eval-mlogloss:1.376375
[8] train-mlogloss:1.312919 eval-mlogloss:1.322485
[9] train-mlogloss:1.267181 eval-mlogloss:1.276987
[10] train-mlogloss:1.220703 eval-mlogloss:1.231570
[11] train-mlogloss:1.179852 eval-mlogloss:1.191189
[12] train-mlogloss:1.141853 eval-mlogloss:1.154114
[13] train-mlogloss:1.108269 eval-mlogloss:1.121085
[14] train-mlogloss:1.077220 eval-mlogloss:1.090660
[15] train-mlogloss:1.045985 eval-mlogloss:1.060344
[16] train-mlogloss:1.017074 eval-mlogloss:1.032147
[17] train-mlogloss:0.990564 eval-mlogloss:1.006608
[18] train-mlogloss:0.964998 eval-mlogloss:0.981520
[19] train-mlogloss:0.943480 eval-mlogloss:0.960549
[20] train-mlogloss:0.922812 eval-mlogloss:0.940510
[21] train-mlogloss:0.905359 eval-mlogloss:0.923491
[22] train-mlogloss:0.886198 eval-mlogloss:0.904829
[23] train-mlogloss:0.869252 eval-mlogloss:0.888548
[24] train-mlogloss:0.853390 eval-mlogloss:0.873258
[25] train-mlogloss:0.839735 eval-mlogloss:0.860289
[26] train-mlogloss:0.824036 eval-mlogloss:0.845120
[27] train-mlogloss:0.811278 eval-mlogloss:0.832819
[28] train-mlogloss:0.798293 eval-mlogloss:0.820494
[29] train-mlogloss:0.787423 eval-mlogloss:0.810374
[30] train-mlogloss:0.776732 eval-mlogloss:0.799977
[31] train-mlogloss:0.766387 eval-mlogloss:0.790349
[32] train-mlogloss:0.756330 eval-mlogloss:0.780679
[33] train-mlogloss:0.746746 eval-mlogloss:0.771606
[34] train-mlogloss:0.738571 eval-mlogloss:0.763876
[35] train-mlogloss:0.730000 eval-mlogloss:0.755809
[36] train-mlogloss:0.722514 eval-mlogloss:0.748872
[37] train-mlogloss:0.715112 eval-mlogloss:0.741922
[38] train-mlogloss:0.706169 eval-mlogloss:0.733171
[39] train-mlogloss:0.699214 eval-mlogloss:0.726741
[40] train-mlogloss:0.692579 eval-mlogloss:0.720594
[41] train-mlogloss:0.685755 eval-mlogloss:0.714356
[42] train-mlogloss:0.678592 eval-mlogloss:0.707747
[43] train-mlogloss:0.671591 eval-mlogloss:0.701194
[44] train-mlogloss:0.664710 eval-mlogloss:0.694474
[45] train-mlogloss:0.658929 eval-mlogloss:0.689356
[46] train-mlogloss:0.653636 eval-mlogloss:0.684611
[47] train-mlogloss:0.648902 eval-mlogloss:0.680229
[48] train-mlogloss:0.644015 eval-mlogloss:0.675641
[49] train-mlogloss:0.638895 eval-mlogloss:0.671202
[50] train-mlogloss:0.634004 eval-mlogloss:0.666996
[51] train-mlogloss:0.629127 eval-mlogloss:0.662753
[52] train-mlogloss:0.624657 eval-mlogloss:0.658848
[53] train-mlogloss:0.620387 eval-mlogloss:0.655124
[54] train-mlogloss:0.615612 eval-mlogloss:0.650952
[55] train-mlogloss:0.611559 eval-mlogloss:0.647407
[56] train-mlogloss:0.608164 eval-mlogloss:0.644504
[57] train-mlogloss:0.604870 eval-mlogloss:0.641798
[58] train-mlogloss:0.601256 eval-mlogloss:0.638539
[59] train-mlogloss:0.597821 eval-mlogloss:0.635596
[60] train-mlogloss:0.594375 eval-mlogloss:0.632492
[61] train-mlogloss:0.591264 eval-mlogloss:0.630017
[62] train-mlogloss:0.587973 eval-mlogloss:0.627200
[63] train-mlogloss:0.584654 eval-mlogloss:0.624396
[64] train-mlogloss:0.581618 eval-mlogloss:0.621838
[65] train-mlogloss:0.578840 eval-mlogloss:0.619429
[66] train-mlogloss:0.576072 eval-mlogloss:0.617158
[67] train-mlogloss:0.573313 eval-mlogloss:0.614941
[68] train-mlogloss:0.570793 eval-mlogloss:0.613010
[69] train-mlogloss:0.568050 eval-mlogloss:0.610670
[70] train-mlogloss:0.565573 eval-mlogloss:0.608681
[71] train-mlogloss:0.562877 eval-mlogloss:0.606542
[72] train-mlogloss:0.560334 eval-mlogloss:0.604603
[73] train-mlogloss:0.558035 eval-mlogloss:0.602745
[74] train-mlogloss:0.555428 eval-mlogloss:0.600501
[75] train-mlogloss:0.553260 eval-mlogloss:0.598867
[76] train-mlogloss:0.550982 eval-mlogloss:0.597173
[77] train-mlogloss:0.548916 eval-mlogloss:0.595478
[78] train-mlogloss:0.546732 eval-mlogloss:0.593783
[79] train-mlogloss:0.544830 eval-mlogloss:0.592216
[80] train-mlogloss:0.542637 eval-mlogloss:0.590483
[81] train-mlogloss:0.540675 eval-mlogloss:0.588840
[82] train-mlogloss:0.538623 eval-mlogloss:0.587316
[83] train-mlogloss:0.536654 eval-mlogloss:0.585825
[84] train-mlogloss:0.534599 eval-mlogloss:0.584302
[85] train-mlogloss:0.532692 eval-mlogloss:0.583026
[86] train-mlogloss:0.530984 eval-mlogloss:0.581721
[87] train-mlogloss:0.529069 eval-mlogloss:0.580191
[88] train-mlogloss:0.527087 eval-mlogloss:0.578675
[89] train-mlogloss:0.525465 eval-mlogloss:0.577284
[90] train-mlogloss:0.523879 eval-mlogloss:0.575935
[91] train-mlogloss:0.521930 eval-mlogloss:0.574375
[92] train-mlogloss:0.520019 eval-mlogloss:0.572998
[93] train-mlogloss:0.518428 eval-mlogloss:0.571706
[94] train-mlogloss:0.516899 eval-mlogloss:0.570666
[95] train-mlogloss:0.515166 eval-mlogloss:0.569362
[96] train-mlogloss:0.513546 eval-mlogloss:0.568270
[97] train-mlogloss:0.512102 eval-mlogloss:0.567134
[98] train-mlogloss:0.510450 eval-mlogloss:0.565944
[99] train-mlogloss:0.509002 eval-mlogloss:0.564885
[100] train-mlogloss:0.507340 eval-mlogloss:0.563831
[101] train-mlogloss:0.506134 eval-mlogloss:0.562955
[102] train-mlogloss:0.504616 eval-mlogloss:0.561922
[103] train-mlogloss:0.503157 eval-mlogloss:0.560879
[104] train-mlogloss:0.501745 eval-mlogloss:0.559759
[105] train-mlogloss:0.500434 eval-mlogloss:0.558854
[106] train-mlogloss:0.498832 eval-mlogloss:0.557893
[107] train-mlogloss:0.497489 eval-mlogloss:0.556901
[108] train-mlogloss:0.495860 eval-mlogloss:0.555836
[109] train-mlogloss:0.494765 eval-mlogloss:0.555192
[110] train-mlogloss:0.493532 eval-mlogloss:0.554392
[111] train-mlogloss:0.492258 eval-mlogloss:0.553590
[112] train-mlogloss:0.491098 eval-mlogloss:0.552852
[113] train-mlogloss:0.489957 eval-mlogloss:0.552035
[114] train-mlogloss:0.488702 eval-mlogloss:0.551248
[115] train-mlogloss:0.487436 eval-mlogloss:0.550362
[116] train-mlogloss:0.486391 eval-mlogloss:0.549653
[117] train-mlogloss:0.485194 eval-mlogloss:0.548849
[118] train-mlogloss:0.483953 eval-mlogloss:0.548086
[119] train-mlogloss:0.482604 eval-mlogloss:0.547128
[120] train-mlogloss:0.481512 eval-mlogloss:0.546383
[121] train-mlogloss:0.480272 eval-mlogloss:0.545654
[122] train-mlogloss:0.479174 eval-mlogloss:0.544926
[123] train-mlogloss:0.478003 eval-mlogloss:0.544163
[124] train-mlogloss:0.476825 eval-mlogloss:0.543472
[125] train-mlogloss:0.475800 eval-mlogloss:0.542748
[126] train-mlogloss:0.474537 eval-mlogloss:0.541905
[127] train-mlogloss:0.473601 eval-mlogloss:0.541226
[128] train-mlogloss:0.472423 eval-mlogloss:0.540405
[129] train-mlogloss:0.471315 eval-mlogloss:0.539723
[130] train-mlogloss:0.470158 eval-mlogloss:0.539092
[131] train-mlogloss:0.469123 eval-mlogloss:0.538549
[132] train-mlogloss:0.468021 eval-mlogloss:0.537737
[133] train-mlogloss:0.466726 eval-mlogloss:0.536989
[134] train-mlogloss:0.465759 eval-mlogloss:0.536351
[135] train-mlogloss:0.464722 eval-mlogloss:0.535703
[136] train-mlogloss:0.463866 eval-mlogloss:0.535245
[137] train-mlogloss:0.462938 eval-mlogloss:0.534787
[138] train-mlogloss:0.462010 eval-mlogloss:0.534185
[139] train-mlogloss:0.461083 eval-mlogloss:0.533674
[140] train-mlogloss:0.460140 eval-mlogloss:0.533070
[141] train-mlogloss:0.459202 eval-mlogloss:0.532545
[142] train-mlogloss:0.458304 eval-mlogloss:0.532004
[143] train-mlogloss:0.457480 eval-mlogloss:0.531449
[144] train-mlogloss:0.456630 eval-mlogloss:0.530868
[145] train-mlogloss:0.455690 eval-mlogloss:0.530229
[146] train-mlogloss:0.454739 eval-mlogloss:0.529778
[147] train-mlogloss:0.453956 eval-mlogloss:0.529360
[148] train-mlogloss:0.453111 eval-mlogloss:0.528822
[149] train-mlogloss:0.452187 eval-mlogloss:0.528308
[150] train-mlogloss:0.451205 eval-mlogloss:0.527745
[151] train-mlogloss:0.450372 eval-mlogloss:0.527197
[152] train-mlogloss:0.449630 eval-mlogloss:0.526665
[153] train-mlogloss:0.448785 eval-mlogloss:0.526147
[154] train-mlogloss:0.448043 eval-mlogloss:0.525653
[155] train-mlogloss:0.447204 eval-mlogloss:0.525219
[156] train-mlogloss:0.446250 eval-mlogloss:0.524810
[157] train-mlogloss:0.445347 eval-mlogloss:0.524243
[158] train-mlogloss:0.444641 eval-mlogloss:0.523875
[159] train-mlogloss:0.443893 eval-mlogloss:0.523409
[160] train-mlogloss:0.442816 eval-mlogloss:0.522869
[161] train-mlogloss:0.442064 eval-mlogloss:0.522344
[162] train-mlogloss:0.441255 eval-mlogloss:0.521926
[163] train-mlogloss:0.440387 eval-mlogloss:0.521474
[164] train-mlogloss:0.439638 eval-mlogloss:0.521032
[165] train-mlogloss:0.438859 eval-mlogloss:0.520667
[166] train-mlogloss:0.438008 eval-mlogloss:0.520031
[167] train-mlogloss:0.437326 eval-mlogloss:0.519785
[168] train-mlogloss:0.436454 eval-mlogloss:0.519505
[169] train-mlogloss:0.435727 eval-mlogloss:0.519153
[170] train-mlogloss:0.434933 eval-mlogloss:0.518732
[171] train-mlogloss:0.434337 eval-mlogloss:0.518442
[172] train-mlogloss:0.433736 eval-mlogloss:0.518078
[173] train-mlogloss:0.432882 eval-mlogloss:0.517578
[174] train-mlogloss:0.432153 eval-mlogloss:0.517158
[175] train-mlogloss:0.431233 eval-mlogloss:0.516680
[176] train-mlogloss:0.430571 eval-mlogloss:0.516240
[177] train-mlogloss:0.429812 eval-mlogloss:0.515954
[178] train-mlogloss:0.428940 eval-mlogloss:0.515578
[179] train-mlogloss:0.428128 eval-mlogloss:0.515240
[180] train-mlogloss:0.427348 eval-mlogloss:0.514784
[181] train-mlogloss:0.426758 eval-mlogloss:0.514547
[182] train-mlogloss:0.426089 eval-mlogloss:0.514151
[183] train-mlogloss:0.425298 eval-mlogloss:0.513770
[184] train-mlogloss:0.424449 eval-mlogloss:0.513444
[185] train-mlogloss:0.423648 eval-mlogloss:0.513051
[186] train-mlogloss:0.422686 eval-mlogloss:0.512718
[187] train-mlogloss:0.421924 eval-mlogloss:0.512249
[188] train-mlogloss:0.421233 eval-mlogloss:0.511850
[189] train-mlogloss:0.420460 eval-mlogloss:0.511523
[190] train-mlogloss:0.419720 eval-mlogloss:0.511091
[191] train-mlogloss:0.419114 eval-mlogloss:0.510901
[192] train-mlogloss:0.418454 eval-mlogloss:0.510629
[193] train-mlogloss:0.417886 eval-mlogloss:0.510325
[194] train-mlogloss:0.417319 eval-mlogloss:0.509942
[195] train-mlogloss:0.416716 eval-mlogloss:0.509612
[196] train-mlogloss:0.416176 eval-mlogloss:0.509309
[197] train-mlogloss:0.415311 eval-mlogloss:0.508786
[198] train-mlogloss:0.414575 eval-mlogloss:0.508579
[199] train-mlogloss:0.413846 eval-mlogloss:0.508261
[200] train-mlogloss:0.413294 eval-mlogloss:0.508121
[201] train-mlogloss:0.412572 eval-mlogloss:0.507739
[202] train-mlogloss:0.411802 eval-mlogloss:0.507434
[203] train-mlogloss:0.411143 eval-mlogloss:0.507219
[204] train-mlogloss:0.410487 eval-mlogloss:0.506950
[205] train-mlogloss:0.409797 eval-mlogloss:0.506684
[206] train-mlogloss:0.408944 eval-mlogloss:0.506273
[207] train-mlogloss:0.408323 eval-mlogloss:0.506046
[208] train-mlogloss:0.407744 eval-mlogloss:0.505802
[209] train-mlogloss:0.407196 eval-mlogloss:0.505676
[210] train-mlogloss:0.406668 eval-mlogloss:0.505411
[211] train-mlogloss:0.405907 eval-mlogloss:0.505099
[212] train-mlogloss:0.405285 eval-mlogloss:0.504923
[213] train-mlogloss:0.404574 eval-mlogloss:0.504647
[214] train-mlogloss:0.403977 eval-mlogloss:0.504341
[215] train-mlogloss:0.403312 eval-mlogloss:0.503974
[216] train-mlogloss:0.402723 eval-mlogloss:0.503682
[217] train-mlogloss:0.402299 eval-mlogloss:0.503474
[218] train-mlogloss:0.401648 eval-mlogloss:0.503184
[219] train-mlogloss:0.400968 eval-mlogloss:0.502859
[220] train-mlogloss:0.400281 eval-mlogloss:0.502392
[221] train-mlogloss:0.399637 eval-mlogloss:0.502184
[222] train-mlogloss:0.399088 eval-mlogloss:0.501933
[223] train-mlogloss:0.398731 eval-mlogloss:0.501732
[224] train-mlogloss:0.398239 eval-mlogloss:0.501556
[225] train-mlogloss:0.397508 eval-mlogloss:0.501304
[226] train-mlogloss:0.396961 eval-mlogloss:0.501058
[227] train-mlogloss:0.396378 eval-mlogloss:0.500770
[228] train-mlogloss:0.395897 eval-mlogloss:0.500577
[229] train-mlogloss:0.395425 eval-mlogloss:0.500358
[230] train-mlogloss:0.394856 eval-mlogloss:0.500079
[231] train-mlogloss:0.394267 eval-mlogloss:0.499825
[232] train-mlogloss:0.393716 eval-mlogloss:0.499661
[233] train-mlogloss:0.393049 eval-mlogloss:0.499438
[234] train-mlogloss:0.392468 eval-mlogloss:0.499223
[235] train-mlogloss:0.391947 eval-mlogloss:0.499059
[236] train-mlogloss:0.391579 eval-mlogloss:0.498886
[237] train-mlogloss:0.390975 eval-mlogloss:0.498539
[238] train-mlogloss:0.390408 eval-mlogloss:0.498378
[239] train-mlogloss:0.389796 eval-mlogloss:0.498075
[240] train-mlogloss:0.389281 eval-mlogloss:0.497872
[241] train-mlogloss:0.388602 eval-mlogloss:0.497564
[242] train-mlogloss:0.388145 eval-mlogloss:0.497480
[243] train-mlogloss:0.387735 eval-mlogloss:0.497309
[244] train-mlogloss:0.387240 eval-mlogloss:0.497126
[245] train-mlogloss:0.386464 eval-mlogloss:0.496796
[246] train-mlogloss:0.386088 eval-mlogloss:0.496662
[247] train-mlogloss:0.385500 eval-mlogloss:0.496466
[248] train-mlogloss:0.384926 eval-mlogloss:0.496254
[249] train-mlogloss:0.384373 eval-mlogloss:0.496066
[250] train-mlogloss:0.383959 eval-mlogloss:0.495858
[251] train-mlogloss:0.383470 eval-mlogloss:0.495714
[252] train-mlogloss:0.383010 eval-mlogloss:0.495525
[253] train-mlogloss:0.382532 eval-mlogloss:0.495350
[254] train-mlogloss:0.381834 eval-mlogloss:0.495018
[255] train-mlogloss:0.381269 eval-mlogloss:0.494777
[256] train-mlogloss:0.380694 eval-mlogloss:0.494559
[257] train-mlogloss:0.380041 eval-mlogloss:0.494362
[258] train-mlogloss:0.379601 eval-mlogloss:0.494186
[259] train-mlogloss:0.378952 eval-mlogloss:0.493931
[260] train-mlogloss:0.378492 eval-mlogloss:0.493818
[261] train-mlogloss:0.377992 eval-mlogloss:0.493625
[262] train-mlogloss:0.377489 eval-mlogloss:0.493399
[263] train-mlogloss:0.376946 eval-mlogloss:0.493212
[264] train-mlogloss:0.376310 eval-mlogloss:0.493027
[265] train-mlogloss:0.375754 eval-mlogloss:0.492853
[266] train-mlogloss:0.375245 eval-mlogloss:0.492631
[267] train-mlogloss:0.374718 eval-mlogloss:0.492499
[268] train-mlogloss:0.374274 eval-mlogloss:0.492336
[269] train-mlogloss:0.373859 eval-mlogloss:0.492200
[270] train-mlogloss:0.373251 eval-mlogloss:0.492054
[271] train-mlogloss:0.372925 eval-mlogloss:0.492012
[272] train-mlogloss:0.372372 eval-mlogloss:0.491775
[273] train-mlogloss:0.371866 eval-mlogloss:0.491599
[274] train-mlogloss:0.371344 eval-mlogloss:0.491420
[275] train-mlogloss:0.370831 eval-mlogloss:0.491206
[276] train-mlogloss:0.370346 eval-mlogloss:0.490966
[277] train-mlogloss:0.369958 eval-mlogloss:0.490795
[278] train-mlogloss:0.369550 eval-mlogloss:0.490639
[279] train-mlogloss:0.369138 eval-mlogloss:0.490432
[280] train-mlogloss:0.368603 eval-mlogloss:0.490274
[281] train-mlogloss:0.368210 eval-mlogloss:0.490078
[282] train-mlogloss:0.367763 eval-mlogloss:0.489853
[283] train-mlogloss:0.367214 eval-mlogloss:0.489736
[284] train-mlogloss:0.366688 eval-mlogloss:0.489557
[285] train-mlogloss:0.366276 eval-mlogloss:0.489475
[286] train-mlogloss:0.365886 eval-mlogloss:0.489414
[287] train-mlogloss:0.365288 eval-mlogloss:0.489210
[288] train-mlogloss:0.364876 eval-mlogloss:0.488983
[289] train-mlogloss:0.364334 eval-mlogloss:0.488822
[290] train-mlogloss:0.363832 eval-mlogloss:0.488546
[291] train-mlogloss:0.363271 eval-mlogloss:0.488348
[292] train-mlogloss:0.362721 eval-mlogloss:0.488172
[293] train-mlogloss:0.362274 eval-mlogloss:0.488121
[294] train-mlogloss:0.361839 eval-mlogloss:0.487953
[295] train-mlogloss:0.361396 eval-mlogloss:0.487786
[296] train-mlogloss:0.360959 eval-mlogloss:0.487629
[297] train-mlogloss:0.360495 eval-mlogloss:0.487540
[298] train-mlogloss:0.359859 eval-mlogloss:0.487463
[299] train-mlogloss:0.359516 eval-mlogloss:0.487248
[300] train-mlogloss:0.359163 eval-mlogloss:0.487080
[301] train-mlogloss:0.358841 eval-mlogloss:0.486986
[302] train-mlogloss:0.358307 eval-mlogloss:0.486896
[303] train-mlogloss:0.357767 eval-mlogloss:0.486773
[304] train-mlogloss:0.357359 eval-mlogloss:0.486642
[305] train-mlogloss:0.356951 eval-mlogloss:0.486503
[306] train-mlogloss:0.356466 eval-mlogloss:0.486373
[307] train-mlogloss:0.355887 eval-mlogloss:0.486131
[308] train-mlogloss:0.355393 eval-mlogloss:0.486030
[309] train-mlogloss:0.354926 eval-mlogloss:0.485981
[310] train-mlogloss:0.354559 eval-mlogloss:0.485859
[311] train-mlogloss:0.354034 eval-mlogloss:0.485715
[312] train-mlogloss:0.353699 eval-mlogloss:0.485607
[313] train-mlogloss:0.353240 eval-mlogloss:0.485376
[314] train-mlogloss:0.352765 eval-mlogloss:0.485193
[315] train-mlogloss:0.352291 eval-mlogloss:0.484946
[316] train-mlogloss:0.351755 eval-mlogloss:0.484785
[317] train-mlogloss:0.351255 eval-mlogloss:0.484594
[318] train-mlogloss:0.350836 eval-mlogloss:0.484362
[319] train-mlogloss:0.350433 eval-mlogloss:0.484207
[320] train-mlogloss:0.349899 eval-mlogloss:0.483913
[321] train-mlogloss:0.349524 eval-mlogloss:0.483818
[322] train-mlogloss:0.349007 eval-mlogloss:0.483684
[323] train-mlogloss:0.348578 eval-mlogloss:0.483528
[324] train-mlogloss:0.348112 eval-mlogloss:0.483467
[325] train-mlogloss:0.347636 eval-mlogloss:0.483339
[326] train-mlogloss:0.347236 eval-mlogloss:0.483254
[327] train-mlogloss:0.346927 eval-mlogloss:0.483118
[328] train-mlogloss:0.346416 eval-mlogloss:0.482997
[329] train-mlogloss:0.345938 eval-mlogloss:0.482872
[330] train-mlogloss:0.345606 eval-mlogloss:0.482851
[331] train-mlogloss:0.345197 eval-mlogloss:0.482637
[332] train-mlogloss:0.344870 eval-mlogloss:0.482540
[333] train-mlogloss:0.344525 eval-mlogloss:0.482489
[334] train-mlogloss:0.344181 eval-mlogloss:0.482407
[335] train-mlogloss:0.343753 eval-mlogloss:0.482142
[336] train-mlogloss:0.343286 eval-mlogloss:0.481939
[337] train-mlogloss:0.342931 eval-mlogloss:0.481816
[338] train-mlogloss:0.342582 eval-mlogloss:0.481662
[339] train-mlogloss:0.342091 eval-mlogloss:0.481489
[340] train-mlogloss:0.341686 eval-mlogloss:0.481338
[341] train-mlogloss:0.341364 eval-mlogloss:0.481294
[342] train-mlogloss:0.340928 eval-mlogloss:0.481244
[343] train-mlogloss:0.340607 eval-mlogloss:0.481134
[344] train-mlogloss:0.340099 eval-mlogloss:0.480943
[345] train-mlogloss:0.339720 eval-mlogloss:0.480853
[346] train-mlogloss:0.339379 eval-mlogloss:0.480713
[347] train-mlogloss:0.339022 eval-mlogloss:0.480592
[348] train-mlogloss:0.338503 eval-mlogloss:0.480444
[349] train-mlogloss:0.338162 eval-mlogloss:0.480400
[350] train-mlogloss:0.337659 eval-mlogloss:0.480247
[351] train-mlogloss:0.337238 eval-mlogloss:0.480175
[352] train-mlogloss:0.336944 eval-mlogloss:0.480098
[353] train-mlogloss:0.336606 eval-mlogloss:0.479967
[354] train-mlogloss:0.336300 eval-mlogloss:0.479837
[355] train-mlogloss:0.335926 eval-mlogloss:0.479700
[356] train-mlogloss:0.335481 eval-mlogloss:0.479642
[357] train-mlogloss:0.335025 eval-mlogloss:0.479548
[358] train-mlogloss:0.334476 eval-mlogloss:0.479423
[359] train-mlogloss:0.334172 eval-mlogloss:0.479300
[360] train-mlogloss:0.333811 eval-mlogloss:0.479276
[361] train-mlogloss:0.333321 eval-mlogloss:0.479183
[362] train-mlogloss:0.332991 eval-mlogloss:0.479091
[363] train-mlogloss:0.332596 eval-mlogloss:0.479030
[364] train-mlogloss:0.332131 eval-mlogloss:0.478908
[365] train-mlogloss:0.331693 eval-mlogloss:0.478717
[366] train-mlogloss:0.331214 eval-mlogloss:0.478635
[367] train-mlogloss:0.330886 eval-mlogloss:0.478548
[368] train-mlogloss:0.330616 eval-mlogloss:0.478483
[369] train-mlogloss:0.330335 eval-mlogloss:0.478284
[370] train-mlogloss:0.329937 eval-mlogloss:0.478125
[371] train-mlogloss:0.329521 eval-mlogloss:0.478005
[372] train-mlogloss:0.329209 eval-mlogloss:0.477895
[373] train-mlogloss:0.328785 eval-mlogloss:0.477676
[374] train-mlogloss:0.328465 eval-mlogloss:0.477610
[375] train-mlogloss:0.328007 eval-mlogloss:0.477571
[376] train-mlogloss:0.327587 eval-mlogloss:0.477498
[377] train-mlogloss:0.327135 eval-mlogloss:0.477379
[378] train-mlogloss:0.326852 eval-mlogloss:0.477337
[379] train-mlogloss:0.326427 eval-mlogloss:0.477225
[380] train-mlogloss:0.326150 eval-mlogloss:0.477142
[381] train-mlogloss:0.325802 eval-mlogloss:0.477023
[382] train-mlogloss:0.325424 eval-mlogloss:0.476938
[383] train-mlogloss:0.324932 eval-mlogloss:0.476807
[384] train-mlogloss:0.324610 eval-mlogloss:0.476832
[385] train-mlogloss:0.324249 eval-mlogloss:0.476853
[386] train-mlogloss:0.323737 eval-mlogloss:0.476734
[387] train-mlogloss:0.323452 eval-mlogloss:0.476560
[388] train-mlogloss:0.323025 eval-mlogloss:0.476432
[389] train-mlogloss:0.322693 eval-mlogloss:0.476340
[390] train-mlogloss:0.322427 eval-mlogloss:0.476190
[391] train-mlogloss:0.321968 eval-mlogloss:0.476199
[392] train-mlogloss:0.321607 eval-mlogloss:0.476071
[393] train-mlogloss:0.321348 eval-mlogloss:0.475996
[394] train-mlogloss:0.321016 eval-mlogloss:0.475831
[395] train-mlogloss:0.320674 eval-mlogloss:0.475781
[396] train-mlogloss:0.320334 eval-mlogloss:0.475747
[397] train-mlogloss:0.319945 eval-mlogloss:0.475545
[398] train-mlogloss:0.319592 eval-mlogloss:0.475508
[399] train-mlogloss:0.319253 eval-mlogloss:0.475429
[400] train-mlogloss:0.319011 eval-mlogloss:0.475337
[401] train-mlogloss:0.318617 eval-mlogloss:0.475315
[402] train-mlogloss:0.318342 eval-mlogloss:0.475201
[403] train-mlogloss:0.318008 eval-mlogloss:0.475144
[404] train-mlogloss:0.317749 eval-mlogloss:0.475079
[405] train-mlogloss:0.317292 eval-mlogloss:0.474946
[406] train-mlogloss:0.316961 eval-mlogloss:0.474856
[407] train-mlogloss:0.316562 eval-mlogloss:0.474717
[408] train-mlogloss:0.316187 eval-mlogloss:0.474652
[409] train-mlogloss:0.315917 eval-mlogloss:0.474603
[410] train-mlogloss:0.315676 eval-mlogloss:0.474584
[411] train-mlogloss:0.315250 eval-mlogloss:0.474486
[412] train-mlogloss:0.314843 eval-mlogloss:0.474453
[413] train-mlogloss:0.314547 eval-mlogloss:0.474384
[414] train-mlogloss:0.314282 eval-mlogloss:0.474286
[415] train-mlogloss:0.313926 eval-mlogloss:0.474277
[416] train-mlogloss:0.313656 eval-mlogloss:0.474213
[417] train-mlogloss:0.313320 eval-mlogloss:0.474167
[418] train-mlogloss:0.313070 eval-mlogloss:0.474059
[419] train-mlogloss:0.312772 eval-mlogloss:0.473921
[420] train-mlogloss:0.312444 eval-mlogloss:0.473820
[421] train-mlogloss:0.312192 eval-mlogloss:0.473737
[422] train-mlogloss:0.311812 eval-mlogloss:0.473678
[423] train-mlogloss:0.311506 eval-mlogloss:0.473674
[424] train-mlogloss:0.311171 eval-mlogloss:0.473644
[425] train-mlogloss:0.310720 eval-mlogloss:0.473558
[426] train-mlogloss:0.310420 eval-mlogloss:0.473545
[427] train-mlogloss:0.310094 eval-mlogloss:0.473372
[428] train-mlogloss:0.309721 eval-mlogloss:0.473346
[429] train-mlogloss:0.309426 eval-mlogloss:0.473312
[430] train-mlogloss:0.309157 eval-mlogloss:0.473243
[431] train-mlogloss:0.308718 eval-mlogloss:0.473069
[432] train-mlogloss:0.308302 eval-mlogloss:0.472873
[433] train-mlogloss:0.307954 eval-mlogloss:0.472779
[434] train-mlogloss:0.307620 eval-mlogloss:0.472631
[435] train-mlogloss:0.307245 eval-mlogloss:0.472586
[436] train-mlogloss:0.306864 eval-mlogloss:0.472569
[437] train-mlogloss:0.306525 eval-mlogloss:0.472493
[438] train-mlogloss:0.306221 eval-mlogloss:0.472427
[439] train-mlogloss:0.305923 eval-mlogloss:0.472428
[440] train-mlogloss:0.305547 eval-mlogloss:0.472388
[441] train-mlogloss:0.305203 eval-mlogloss:0.472230
[442] train-mlogloss:0.304864 eval-mlogloss:0.472191
[443] train-mlogloss:0.304521 eval-mlogloss:0.472092
[444] train-mlogloss:0.304253 eval-mlogloss:0.472010
[445] train-mlogloss:0.304026 eval-mlogloss:0.471918
[446] train-mlogloss:0.303571 eval-mlogloss:0.471845
[447] train-mlogloss:0.303228 eval-mlogloss:0.471672
[448] train-mlogloss:0.302946 eval-mlogloss:0.471602
[449] train-mlogloss:0.302510 eval-mlogloss:0.471468
[450] train-mlogloss:0.302250 eval-mlogloss:0.471381
[451] train-mlogloss:0.301928 eval-mlogloss:0.471289
[452] train-mlogloss:0.301686 eval-mlogloss:0.471195
[453] train-mlogloss:0.301346 eval-mlogloss:0.471096
[454] train-mlogloss:0.301042 eval-mlogloss:0.471043
[455] train-mlogloss:0.300821 eval-mlogloss:0.471040
[456] train-mlogloss:0.300601 eval-mlogloss:0.470972
[457] train-mlogloss:0.300252 eval-mlogloss:0.470958
[458] train-mlogloss:0.299940 eval-mlogloss:0.470848
[459] train-mlogloss:0.299610 eval-mlogloss:0.470717
[460] train-mlogloss:0.299290 eval-mlogloss:0.470641
[461] train-mlogloss:0.298918 eval-mlogloss:0.470510
[462] train-mlogloss:0.298725 eval-mlogloss:0.470424
[463] train-mlogloss:0.298379 eval-mlogloss:0.470291
[464] train-mlogloss:0.298055 eval-mlogloss:0.470241
[465] train-mlogloss:0.297722 eval-mlogloss:0.470239
[466] train-mlogloss:0.297434 eval-mlogloss:0.470159
[467] train-mlogloss:0.297128 eval-mlogloss:0.470141
[468] train-mlogloss:0.296785 eval-mlogloss:0.470096
[469] train-mlogloss:0.296466 eval-mlogloss:0.470027
[470] train-mlogloss:0.296086 eval-mlogloss:0.470052
[471] train-mlogloss:0.295810 eval-mlogloss:0.469991
[472] train-mlogloss:0.295433 eval-mlogloss:0.469896
[473] train-mlogloss:0.295135 eval-mlogloss:0.469910
[474] train-mlogloss:0.294856 eval-mlogloss:0.469913
[475] train-mlogloss:0.294638 eval-mlogloss:0.469896
[476] train-mlogloss:0.294295 eval-mlogloss:0.469869
[477] train-mlogloss:0.294053 eval-mlogloss:0.469815
[478] train-mlogloss:0.293828 eval-mlogloss:0.469752
[479] train-mlogloss:0.293437 eval-mlogloss:0.469711
[480] train-mlogloss:0.293191 eval-mlogloss:0.469630
[481] train-mlogloss:0.292882 eval-mlogloss:0.469524
[482] train-mlogloss:0.292558 eval-mlogloss:0.469434
[483] train-mlogloss:0.292273 eval-mlogloss:0.469343
[484] train-mlogloss:0.291979 eval-mlogloss:0.469176
[485] train-mlogloss:0.291651 eval-mlogloss:0.469052
[486] train-mlogloss:0.291329 eval-mlogloss:0.468952
[487] train-mlogloss:0.290997 eval-mlogloss:0.468944
[488] train-mlogloss:0.290762 eval-mlogloss:0.468842
[489] train-mlogloss:0.290427 eval-mlogloss:0.468754
[490] train-mlogloss:0.290072 eval-mlogloss:0.468724
[491] train-mlogloss:0.289791 eval-mlogloss:0.468745
[492] train-mlogloss:0.289472 eval-mlogloss:0.468658
[493] train-mlogloss:0.289246 eval-mlogloss:0.468584
[494] train-mlogloss:0.289008 eval-mlogloss:0.468629
[495] train-mlogloss:0.288801 eval-mlogloss:0.468578
[496] train-mlogloss:0.288527 eval-mlogloss:0.468606
[497] train-mlogloss:0.288276 eval-mlogloss:0.468636
[498] train-mlogloss:0.288008 eval-mlogloss:0.468574
[499] train-mlogloss:0.287772 eval-mlogloss:0.468541
Training with params :
{'eta': 0.1, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 5.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.55}
Score 0.46854090871809684
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.077514 eval-mlogloss:2.082484
[1] train-mlogloss:1.973218 eval-mlogloss:1.982720
[2] train-mlogloss:1.882006 eval-mlogloss:1.896517
[3] train-mlogloss:1.802303 eval-mlogloss:1.820903
[4] train-mlogloss:1.735375 eval-mlogloss:1.757491
[5] train-mlogloss:1.664275 eval-mlogloss:1.690428
[6] train-mlogloss:1.603550 eval-mlogloss:1.633309
[7] train-mlogloss:1.547543 eval-mlogloss:1.580719
[8] train-mlogloss:1.495860 eval-mlogloss:1.532628
[9] train-mlogloss:1.446548 eval-mlogloss:1.486270
[10] train-mlogloss:1.399577 eval-mlogloss:1.442585
[11] train-mlogloss:1.356433 eval-mlogloss:1.402527
[12] train-mlogloss:1.318036 eval-mlogloss:1.367446
[13] train-mlogloss:1.281057 eval-mlogloss:1.332747
[14] train-mlogloss:1.246372 eval-mlogloss:1.300674
[15] train-mlogloss:1.210995 eval-mlogloss:1.267874
[16] train-mlogloss:1.177574 eval-mlogloss:1.237315
[17] train-mlogloss:1.146114 eval-mlogloss:1.208243
[18] train-mlogloss:1.116329 eval-mlogloss:1.180743
[19] train-mlogloss:1.086785 eval-mlogloss:1.153714
[20] train-mlogloss:1.060648 eval-mlogloss:1.130133
[21] train-mlogloss:1.034726 eval-mlogloss:1.106389
[22] train-mlogloss:1.009178 eval-mlogloss:1.082769
[23] train-mlogloss:0.987285 eval-mlogloss:1.063031
[24] train-mlogloss:0.965245 eval-mlogloss:1.042843
[25] train-mlogloss:0.943202 eval-mlogloss:1.022867
[26] train-mlogloss:0.922762 eval-mlogloss:1.004546
[27] train-mlogloss:0.902736 eval-mlogloss:0.986301
[28] train-mlogloss:0.884245 eval-mlogloss:0.969903
[29] train-mlogloss:0.867184 eval-mlogloss:0.954427
[30] train-mlogloss:0.850282 eval-mlogloss:0.939408
[31] train-mlogloss:0.832982 eval-mlogloss:0.924104
[32] train-mlogloss:0.817591 eval-mlogloss:0.910486
[33] train-mlogloss:0.802251 eval-mlogloss:0.896665
[34] train-mlogloss:0.787106 eval-mlogloss:0.883266
[35] train-mlogloss:0.773790 eval-mlogloss:0.871509
[36] train-mlogloss:0.761131 eval-mlogloss:0.860259
[37] train-mlogloss:0.747037 eval-mlogloss:0.847874
[38] train-mlogloss:0.734125 eval-mlogloss:0.836338
[39] train-mlogloss:0.721978 eval-mlogloss:0.825901
[40] train-mlogloss:0.710389 eval-mlogloss:0.815906
[41] train-mlogloss:0.698605 eval-mlogloss:0.805831
[42] train-mlogloss:0.688079 eval-mlogloss:0.796960
[43] train-mlogloss:0.677226 eval-mlogloss:0.787964
[44] train-mlogloss:0.667454 eval-mlogloss:0.779546
[45] train-mlogloss:0.656700 eval-mlogloss:0.770366
[46] train-mlogloss:0.647427 eval-mlogloss:0.762316
[47] train-mlogloss:0.637825 eval-mlogloss:0.754508
[48] train-mlogloss:0.629139 eval-mlogloss:0.747200
[49] train-mlogloss:0.620035 eval-mlogloss:0.739813
[50] train-mlogloss:0.610882 eval-mlogloss:0.732086
[51] train-mlogloss:0.602881 eval-mlogloss:0.725542
[52] train-mlogloss:0.595000 eval-mlogloss:0.718959
[53] train-mlogloss:0.587112 eval-mlogloss:0.712610
[54] train-mlogloss:0.579639 eval-mlogloss:0.706401
[55] train-mlogloss:0.572486 eval-mlogloss:0.700516
[56] train-mlogloss:0.564861 eval-mlogloss:0.694246
[57] train-mlogloss:0.558177 eval-mlogloss:0.688674
[58] train-mlogloss:0.551658 eval-mlogloss:0.683319
[59] train-mlogloss:0.545567 eval-mlogloss:0.678270
[60] train-mlogloss:0.539686 eval-mlogloss:0.673308
[61] train-mlogloss:0.533757 eval-mlogloss:0.668517
[62] train-mlogloss:0.527217 eval-mlogloss:0.663214
[63] train-mlogloss:0.521232 eval-mlogloss:0.658144
[64] train-mlogloss:0.515526 eval-mlogloss:0.653631
[65] train-mlogloss:0.510286 eval-mlogloss:0.649384
[66] train-mlogloss:0.504619 eval-mlogloss:0.644871
[67] train-mlogloss:0.499599 eval-mlogloss:0.640853
[68] train-mlogloss:0.494829 eval-mlogloss:0.637029
[69] train-mlogloss:0.489926 eval-mlogloss:0.633196
[70] train-mlogloss:0.484858 eval-mlogloss:0.629432
[71] train-mlogloss:0.480063 eval-mlogloss:0.625588
[72] train-mlogloss:0.475448 eval-mlogloss:0.621932
[73] train-mlogloss:0.471258 eval-mlogloss:0.618447
[74] train-mlogloss:0.467103 eval-mlogloss:0.614905
[75] train-mlogloss:0.463336 eval-mlogloss:0.611819
[76] train-mlogloss:0.459186 eval-mlogloss:0.608685
[77] train-mlogloss:0.454944 eval-mlogloss:0.605418
[78] train-mlogloss:0.450892 eval-mlogloss:0.602197
[79] train-mlogloss:0.446867 eval-mlogloss:0.599083
[80] train-mlogloss:0.443338 eval-mlogloss:0.596161
[81] train-mlogloss:0.439687 eval-mlogloss:0.593427
[82] train-mlogloss:0.436167 eval-mlogloss:0.590639
[83] train-mlogloss:0.432586 eval-mlogloss:0.588212
[84] train-mlogloss:0.429285 eval-mlogloss:0.585910
[85] train-mlogloss:0.426333 eval-mlogloss:0.583664
[86] train-mlogloss:0.423476 eval-mlogloss:0.581514
[87] train-mlogloss:0.420590 eval-mlogloss:0.579320
[88] train-mlogloss:0.417413 eval-mlogloss:0.576975
[89] train-mlogloss:0.414896 eval-mlogloss:0.574829
[90] train-mlogloss:0.411941 eval-mlogloss:0.572574
[91] train-mlogloss:0.408966 eval-mlogloss:0.570263
[92] train-mlogloss:0.405632 eval-mlogloss:0.568014
[93] train-mlogloss:0.402825 eval-mlogloss:0.565891
[94] train-mlogloss:0.399788 eval-mlogloss:0.563746
[95] train-mlogloss:0.397334 eval-mlogloss:0.561963
[96] train-mlogloss:0.394943 eval-mlogloss:0.560147
[97] train-mlogloss:0.392605 eval-mlogloss:0.558352
[98] train-mlogloss:0.389648 eval-mlogloss:0.556539
[99] train-mlogloss:0.386785 eval-mlogloss:0.554509
[100] train-mlogloss:0.384259 eval-mlogloss:0.552766
[101] train-mlogloss:0.381888 eval-mlogloss:0.550995
[102] train-mlogloss:0.379510 eval-mlogloss:0.549418
[103] train-mlogloss:0.377195 eval-mlogloss:0.547873
[104] train-mlogloss:0.375190 eval-mlogloss:0.546457
[105] train-mlogloss:0.373115 eval-mlogloss:0.545068
[106] train-mlogloss:0.370805 eval-mlogloss:0.543479
[107] train-mlogloss:0.368749 eval-mlogloss:0.542046
[108] train-mlogloss:0.366650 eval-mlogloss:0.540600
[109] train-mlogloss:0.364656 eval-mlogloss:0.539118
[110] train-mlogloss:0.362680 eval-mlogloss:0.537724
[111] train-mlogloss:0.360709 eval-mlogloss:0.536409
[112] train-mlogloss:0.358888 eval-mlogloss:0.535228
[113] train-mlogloss:0.357046 eval-mlogloss:0.533953
[114] train-mlogloss:0.355209 eval-mlogloss:0.532696
[115] train-mlogloss:0.353309 eval-mlogloss:0.531524
[116] train-mlogloss:0.351916 eval-mlogloss:0.530406
[117] train-mlogloss:0.350342 eval-mlogloss:0.529294
[118] train-mlogloss:0.348698 eval-mlogloss:0.528172
[119] train-mlogloss:0.346717 eval-mlogloss:0.527028
[120] train-mlogloss:0.345102 eval-mlogloss:0.525984
[121] train-mlogloss:0.343722 eval-mlogloss:0.525040
[122] train-mlogloss:0.342079 eval-mlogloss:0.523865
[123] train-mlogloss:0.340505 eval-mlogloss:0.522794
[124] train-mlogloss:0.338793 eval-mlogloss:0.521809
[125] train-mlogloss:0.337439 eval-mlogloss:0.520915
[126] train-mlogloss:0.335964 eval-mlogloss:0.519986
[127] train-mlogloss:0.334399 eval-mlogloss:0.518987
[128] train-mlogloss:0.333041 eval-mlogloss:0.517957
[129] train-mlogloss:0.331664 eval-mlogloss:0.517012
[130] train-mlogloss:0.330439 eval-mlogloss:0.516149
[131] train-mlogloss:0.329361 eval-mlogloss:0.515397
[132] train-mlogloss:0.327967 eval-mlogloss:0.514523
[133] train-mlogloss:0.326788 eval-mlogloss:0.513776
[134] train-mlogloss:0.325568 eval-mlogloss:0.513002
[135] train-mlogloss:0.324155 eval-mlogloss:0.512174
[136] train-mlogloss:0.322725 eval-mlogloss:0.511241
[137] train-mlogloss:0.321535 eval-mlogloss:0.510454
[138] train-mlogloss:0.320280 eval-mlogloss:0.509634
[139] train-mlogloss:0.319303 eval-mlogloss:0.508966
[140] train-mlogloss:0.318008 eval-mlogloss:0.508182
[141] train-mlogloss:0.317051 eval-mlogloss:0.507505
[142] train-mlogloss:0.316003 eval-mlogloss:0.506775
[143] train-mlogloss:0.314945 eval-mlogloss:0.506122
[144] train-mlogloss:0.313765 eval-mlogloss:0.505380
[145] train-mlogloss:0.312689 eval-mlogloss:0.504637
[146] train-mlogloss:0.311459 eval-mlogloss:0.503970
[147] train-mlogloss:0.310606 eval-mlogloss:0.503390
[148] train-mlogloss:0.309620 eval-mlogloss:0.502852
[149] train-mlogloss:0.308662 eval-mlogloss:0.502166
[150] train-mlogloss:0.307588 eval-mlogloss:0.501573
[151] train-mlogloss:0.306786 eval-mlogloss:0.501041
[152] train-mlogloss:0.305849 eval-mlogloss:0.500469
[153] train-mlogloss:0.304647 eval-mlogloss:0.499959
[154] train-mlogloss:0.303524 eval-mlogloss:0.499433
[155] train-mlogloss:0.302711 eval-mlogloss:0.498945
[156] train-mlogloss:0.301692 eval-mlogloss:0.498268
[157] train-mlogloss:0.300815 eval-mlogloss:0.497785
[158] train-mlogloss:0.299830 eval-mlogloss:0.497128
[159] train-mlogloss:0.298939 eval-mlogloss:0.496605
[160] train-mlogloss:0.298114 eval-mlogloss:0.496234
[161] train-mlogloss:0.297195 eval-mlogloss:0.495707
[162] train-mlogloss:0.296463 eval-mlogloss:0.495285
[163] train-mlogloss:0.295487 eval-mlogloss:0.494764
[164] train-mlogloss:0.294612 eval-mlogloss:0.494223
[165] train-mlogloss:0.293667 eval-mlogloss:0.493686
[166] train-mlogloss:0.292829 eval-mlogloss:0.493209
[167] train-mlogloss:0.292068 eval-mlogloss:0.492699
[168] train-mlogloss:0.291205 eval-mlogloss:0.492248
[169] train-mlogloss:0.290453 eval-mlogloss:0.491788
[170] train-mlogloss:0.289493 eval-mlogloss:0.491283
[171] train-mlogloss:0.288739 eval-mlogloss:0.490832
[172] train-mlogloss:0.287922 eval-mlogloss:0.490349
[173] train-mlogloss:0.287224 eval-mlogloss:0.489929
[174] train-mlogloss:0.286528 eval-mlogloss:0.489522
[175] train-mlogloss:0.285410 eval-mlogloss:0.489083
[176] train-mlogloss:0.284547 eval-mlogloss:0.488652
[177] train-mlogloss:0.283929 eval-mlogloss:0.488219
[178] train-mlogloss:0.283146 eval-mlogloss:0.487854
[179] train-mlogloss:0.282279 eval-mlogloss:0.487359
[180] train-mlogloss:0.281354 eval-mlogloss:0.486971
[181] train-mlogloss:0.280550 eval-mlogloss:0.486598
[182] train-mlogloss:0.279991 eval-mlogloss:0.486287
[183] train-mlogloss:0.279357 eval-mlogloss:0.485948
[184] train-mlogloss:0.278504 eval-mlogloss:0.485558
[185] train-mlogloss:0.277722 eval-mlogloss:0.485226
[186] train-mlogloss:0.276790 eval-mlogloss:0.484823
[187] train-mlogloss:0.276193 eval-mlogloss:0.484484
[188] train-mlogloss:0.275569 eval-mlogloss:0.484201
[189] train-mlogloss:0.274686 eval-mlogloss:0.483811
[190] train-mlogloss:0.274110 eval-mlogloss:0.483574
[191] train-mlogloss:0.273431 eval-mlogloss:0.483273
[192] train-mlogloss:0.272689 eval-mlogloss:0.482851
[193] train-mlogloss:0.271821 eval-mlogloss:0.482412
[194] train-mlogloss:0.271078 eval-mlogloss:0.482075
[195] train-mlogloss:0.270331 eval-mlogloss:0.481741
[196] train-mlogloss:0.269594 eval-mlogloss:0.481292
[197] train-mlogloss:0.268656 eval-mlogloss:0.480888
[198] train-mlogloss:0.267879 eval-mlogloss:0.480486
[199] train-mlogloss:0.267338 eval-mlogloss:0.480181
[200] train-mlogloss:0.266516 eval-mlogloss:0.479917
[201] train-mlogloss:0.266012 eval-mlogloss:0.479622
[202] train-mlogloss:0.265287 eval-mlogloss:0.479254
[203] train-mlogloss:0.264410 eval-mlogloss:0.479009
[204] train-mlogloss:0.263621 eval-mlogloss:0.478628
[205] train-mlogloss:0.262888 eval-mlogloss:0.478235
[206] train-mlogloss:0.262194 eval-mlogloss:0.477878
[207] train-mlogloss:0.261604 eval-mlogloss:0.477644
[208] train-mlogloss:0.261065 eval-mlogloss:0.477387
[209] train-mlogloss:0.260360 eval-mlogloss:0.477093
[210] train-mlogloss:0.259742 eval-mlogloss:0.476801
[211] train-mlogloss:0.258997 eval-mlogloss:0.476492
[212] train-mlogloss:0.258239 eval-mlogloss:0.476204
[213] train-mlogloss:0.257413 eval-mlogloss:0.475914
[214] train-mlogloss:0.256639 eval-mlogloss:0.475576
[215] train-mlogloss:0.255909 eval-mlogloss:0.475304
[216] train-mlogloss:0.255355 eval-mlogloss:0.475028
[217] train-mlogloss:0.254587 eval-mlogloss:0.474741
[218] train-mlogloss:0.254026 eval-mlogloss:0.474467
[219] train-mlogloss:0.253366 eval-mlogloss:0.474219
[220] train-mlogloss:0.252711 eval-mlogloss:0.474024
[221] train-mlogloss:0.252132 eval-mlogloss:0.473734
[222] train-mlogloss:0.251616 eval-mlogloss:0.473568
[223] train-mlogloss:0.250974 eval-mlogloss:0.473288
[224] train-mlogloss:0.250468 eval-mlogloss:0.473054
[225] train-mlogloss:0.249821 eval-mlogloss:0.472852
[226] train-mlogloss:0.249258 eval-mlogloss:0.472623
[227] train-mlogloss:0.248687 eval-mlogloss:0.472400
[228] train-mlogloss:0.248267 eval-mlogloss:0.472204
[229] train-mlogloss:0.247581 eval-mlogloss:0.471987
[230] train-mlogloss:0.247138 eval-mlogloss:0.471753
[231] train-mlogloss:0.246621 eval-mlogloss:0.471555
[232] train-mlogloss:0.246053 eval-mlogloss:0.471336
[233] train-mlogloss:0.245349 eval-mlogloss:0.471021
[234] train-mlogloss:0.244900 eval-mlogloss:0.470804
[235] train-mlogloss:0.244460 eval-mlogloss:0.470587
[236] train-mlogloss:0.243930 eval-mlogloss:0.470409
[237] train-mlogloss:0.243444 eval-mlogloss:0.470245
[238] train-mlogloss:0.242971 eval-mlogloss:0.470108
[239] train-mlogloss:0.242551 eval-mlogloss:0.469938
[240] train-mlogloss:0.242010 eval-mlogloss:0.469807
[241] train-mlogloss:0.241544 eval-mlogloss:0.469678
[242] train-mlogloss:0.241013 eval-mlogloss:0.469458
[243] train-mlogloss:0.240551 eval-mlogloss:0.469296
[244] train-mlogloss:0.239987 eval-mlogloss:0.469081
[245] train-mlogloss:0.239456 eval-mlogloss:0.468896
[246] train-mlogloss:0.238884 eval-mlogloss:0.468663
[247] train-mlogloss:0.238449 eval-mlogloss:0.468433
[248] train-mlogloss:0.237981 eval-mlogloss:0.468269
[249] train-mlogloss:0.237468 eval-mlogloss:0.468085
[250] train-mlogloss:0.236978 eval-mlogloss:0.467921
[251] train-mlogloss:0.236322 eval-mlogloss:0.467706
[252] train-mlogloss:0.235824 eval-mlogloss:0.467529
[253] train-mlogloss:0.235444 eval-mlogloss:0.467381
[254] train-mlogloss:0.235123 eval-mlogloss:0.467227
[255] train-mlogloss:0.234848 eval-mlogloss:0.467032
[256] train-mlogloss:0.234444 eval-mlogloss:0.466875
[257] train-mlogloss:0.233987 eval-mlogloss:0.466768
[258] train-mlogloss:0.233650 eval-mlogloss:0.466613
[259] train-mlogloss:0.233251 eval-mlogloss:0.466468
[260] train-mlogloss:0.232687 eval-mlogloss:0.466300
[261] train-mlogloss:0.232163 eval-mlogloss:0.466073
[262] train-mlogloss:0.231855 eval-mlogloss:0.465935
[263] train-mlogloss:0.231300 eval-mlogloss:0.465760
[264] train-mlogloss:0.230694 eval-mlogloss:0.465540
[265] train-mlogloss:0.230319 eval-mlogloss:0.465364
[266] train-mlogloss:0.229692 eval-mlogloss:0.465159
[267] train-mlogloss:0.229298 eval-mlogloss:0.465009
[268] train-mlogloss:0.228825 eval-mlogloss:0.464920
[269] train-mlogloss:0.228303 eval-mlogloss:0.464769
[270] train-mlogloss:0.227850 eval-mlogloss:0.464600
[271] train-mlogloss:0.227548 eval-mlogloss:0.464500
[272] train-mlogloss:0.227167 eval-mlogloss:0.464333
[273] train-mlogloss:0.226598 eval-mlogloss:0.464154
[274] train-mlogloss:0.226229 eval-mlogloss:0.464044
[275] train-mlogloss:0.225918 eval-mlogloss:0.463897
[276] train-mlogloss:0.225299 eval-mlogloss:0.463748
[277] train-mlogloss:0.224928 eval-mlogloss:0.463563
[278] train-mlogloss:0.224471 eval-mlogloss:0.463456
[279] train-mlogloss:0.224131 eval-mlogloss:0.463339
[280] train-mlogloss:0.223739 eval-mlogloss:0.463185
[281] train-mlogloss:0.223254 eval-mlogloss:0.463037
[282] train-mlogloss:0.222868 eval-mlogloss:0.462917
[283] train-mlogloss:0.222471 eval-mlogloss:0.462757
[284] train-mlogloss:0.222095 eval-mlogloss:0.462648
[285] train-mlogloss:0.221715 eval-mlogloss:0.462607
[286] train-mlogloss:0.221294 eval-mlogloss:0.462467
[287] train-mlogloss:0.220854 eval-mlogloss:0.462352
[288] train-mlogloss:0.220494 eval-mlogloss:0.462118
[289] train-mlogloss:0.219981 eval-mlogloss:0.462006
[290] train-mlogloss:0.219617 eval-mlogloss:0.461903
[291] train-mlogloss:0.219314 eval-mlogloss:0.461850
[292] train-mlogloss:0.218878 eval-mlogloss:0.461736
[293] train-mlogloss:0.218584 eval-mlogloss:0.461561
[294] train-mlogloss:0.218162 eval-mlogloss:0.461388
[295] train-mlogloss:0.217835 eval-mlogloss:0.461251
[296] train-mlogloss:0.217275 eval-mlogloss:0.461154
[297] train-mlogloss:0.216790 eval-mlogloss:0.461006
[298] train-mlogloss:0.216453 eval-mlogloss:0.460958
[299] train-mlogloss:0.216062 eval-mlogloss:0.460844
[300] train-mlogloss:0.215707 eval-mlogloss:0.460713
[301] train-mlogloss:0.215409 eval-mlogloss:0.460565
[302] train-mlogloss:0.215002 eval-mlogloss:0.460484
[303] train-mlogloss:0.214608 eval-mlogloss:0.460365
[304] train-mlogloss:0.214300 eval-mlogloss:0.460361
[305] train-mlogloss:0.213909 eval-mlogloss:0.460247
[306] train-mlogloss:0.213456 eval-mlogloss:0.460174
[307] train-mlogloss:0.212841 eval-mlogloss:0.460016
[308] train-mlogloss:0.212398 eval-mlogloss:0.459885
[309] train-mlogloss:0.212027 eval-mlogloss:0.459834
[310] train-mlogloss:0.211704 eval-mlogloss:0.459697
[311] train-mlogloss:0.211304 eval-mlogloss:0.459615
[312] train-mlogloss:0.210794 eval-mlogloss:0.459466
[313] train-mlogloss:0.210505 eval-mlogloss:0.459427
[314] train-mlogloss:0.210098 eval-mlogloss:0.459313
[315] train-mlogloss:0.209663 eval-mlogloss:0.459184
[316] train-mlogloss:0.209224 eval-mlogloss:0.459107
[317] train-mlogloss:0.208899 eval-mlogloss:0.459018
[318] train-mlogloss:0.208506 eval-mlogloss:0.458930
[319] train-mlogloss:0.208228 eval-mlogloss:0.458839
[320] train-mlogloss:0.207840 eval-mlogloss:0.458677
[321] train-mlogloss:0.207417 eval-mlogloss:0.458554
[322] train-mlogloss:0.207162 eval-mlogloss:0.458433
[323] train-mlogloss:0.206670 eval-mlogloss:0.458334
[324] train-mlogloss:0.206362 eval-mlogloss:0.458288
[325] train-mlogloss:0.205961 eval-mlogloss:0.458227
[326] train-mlogloss:0.205629 eval-mlogloss:0.458144
[327] train-mlogloss:0.205234 eval-mlogloss:0.457976
[328] train-mlogloss:0.204912 eval-mlogloss:0.457888
[329] train-mlogloss:0.204549 eval-mlogloss:0.457799
[330] train-mlogloss:0.204300 eval-mlogloss:0.457725
[331] train-mlogloss:0.203877 eval-mlogloss:0.457677
[332] train-mlogloss:0.203582 eval-mlogloss:0.457606
[333] train-mlogloss:0.203243 eval-mlogloss:0.457566
[334] train-mlogloss:0.202979 eval-mlogloss:0.457443
[335] train-mlogloss:0.202549 eval-mlogloss:0.457360
[336] train-mlogloss:0.202260 eval-mlogloss:0.457238
[337] train-mlogloss:0.201801 eval-mlogloss:0.457136
[338] train-mlogloss:0.201339 eval-mlogloss:0.457065
[339] train-mlogloss:0.200962 eval-mlogloss:0.456998
[340] train-mlogloss:0.200584 eval-mlogloss:0.456911
[341] train-mlogloss:0.200331 eval-mlogloss:0.456805
[342] train-mlogloss:0.199914 eval-mlogloss:0.456685
[343] train-mlogloss:0.199507 eval-mlogloss:0.456605
[344] train-mlogloss:0.199058 eval-mlogloss:0.456405
[345] train-mlogloss:0.198759 eval-mlogloss:0.456279
[346] train-mlogloss:0.198537 eval-mlogloss:0.456231
[347] train-mlogloss:0.198328 eval-mlogloss:0.456188
[348] train-mlogloss:0.197945 eval-mlogloss:0.456108
[349] train-mlogloss:0.197595 eval-mlogloss:0.456007
[350] train-mlogloss:0.197275 eval-mlogloss:0.455990
[351] train-mlogloss:0.196849 eval-mlogloss:0.455867
[352] train-mlogloss:0.196429 eval-mlogloss:0.455875
[353] train-mlogloss:0.196161 eval-mlogloss:0.455737
[354] train-mlogloss:0.195882 eval-mlogloss:0.455674
[355] train-mlogloss:0.195647 eval-mlogloss:0.455569
[356] train-mlogloss:0.195458 eval-mlogloss:0.455510
[357] train-mlogloss:0.195153 eval-mlogloss:0.455503
[358] train-mlogloss:0.194889 eval-mlogloss:0.455419
[359] train-mlogloss:0.194438 eval-mlogloss:0.455362
[360] train-mlogloss:0.194129 eval-mlogloss:0.455292
[361] train-mlogloss:0.193926 eval-mlogloss:0.455226
[362] train-mlogloss:0.193631 eval-mlogloss:0.455154
[363] train-mlogloss:0.193252 eval-mlogloss:0.455124
[364] train-mlogloss:0.192971 eval-mlogloss:0.455019
[365] train-mlogloss:0.192567 eval-mlogloss:0.455001
[366] train-mlogloss:0.192233 eval-mlogloss:0.454981
[367] train-mlogloss:0.192017 eval-mlogloss:0.454908
[368] train-mlogloss:0.191749 eval-mlogloss:0.454813
[369] train-mlogloss:0.191341 eval-mlogloss:0.454702
[370] train-mlogloss:0.191168 eval-mlogloss:0.454612
[371] train-mlogloss:0.190856 eval-mlogloss:0.454553
[372] train-mlogloss:0.190511 eval-mlogloss:0.454500
[373] train-mlogloss:0.190176 eval-mlogloss:0.454435
[374] train-mlogloss:0.189937 eval-mlogloss:0.454343
[375] train-mlogloss:0.189593 eval-mlogloss:0.454248
[376] train-mlogloss:0.189217 eval-mlogloss:0.454206
[377] train-mlogloss:0.188852 eval-mlogloss:0.454117
[378] train-mlogloss:0.188550 eval-mlogloss:0.454037
[379] train-mlogloss:0.188296 eval-mlogloss:0.453996
[380] train-mlogloss:0.188095 eval-mlogloss:0.453916
[381] train-mlogloss:0.187831 eval-mlogloss:0.453855
[382] train-mlogloss:0.187589 eval-mlogloss:0.453790
[383] train-mlogloss:0.187363 eval-mlogloss:0.453701
[384] train-mlogloss:0.187059 eval-mlogloss:0.453657
[385] train-mlogloss:0.186818 eval-mlogloss:0.453591
[386] train-mlogloss:0.186531 eval-mlogloss:0.453460
[387] train-mlogloss:0.186184 eval-mlogloss:0.453349
[388] train-mlogloss:0.185824 eval-mlogloss:0.453301
[389] train-mlogloss:0.185478 eval-mlogloss:0.453298
[390] train-mlogloss:0.185325 eval-mlogloss:0.453254
[391] train-mlogloss:0.184763 eval-mlogloss:0.453186
[392] train-mlogloss:0.184515 eval-mlogloss:0.453092
[393] train-mlogloss:0.184277 eval-mlogloss:0.453092
[394] train-mlogloss:0.184021 eval-mlogloss:0.453032
[395] train-mlogloss:0.183678 eval-mlogloss:0.452935
[396] train-mlogloss:0.183441 eval-mlogloss:0.452913
[397] train-mlogloss:0.183106 eval-mlogloss:0.452906
[398] train-mlogloss:0.182874 eval-mlogloss:0.452826
[399] train-mlogloss:0.182502 eval-mlogloss:0.452721
[400] train-mlogloss:0.182311 eval-mlogloss:0.452698
[401] train-mlogloss:0.182064 eval-mlogloss:0.452630
[402] train-mlogloss:0.181779 eval-mlogloss:0.452603
[403] train-mlogloss:0.181519 eval-mlogloss:0.452533
[404] train-mlogloss:0.181343 eval-mlogloss:0.452480
[405] train-mlogloss:0.181016 eval-mlogloss:0.452474
[406] train-mlogloss:0.180626 eval-mlogloss:0.452421
[407] train-mlogloss:0.180412 eval-mlogloss:0.452400
[408] train-mlogloss:0.180144 eval-mlogloss:0.452367
[409] train-mlogloss:0.179946 eval-mlogloss:0.452275
[410] train-mlogloss:0.179723 eval-mlogloss:0.452234
[411] train-mlogloss:0.179472 eval-mlogloss:0.452227
[412] train-mlogloss:0.179140 eval-mlogloss:0.452116
[413] train-mlogloss:0.178934 eval-mlogloss:0.452093
[414] train-mlogloss:0.178718 eval-mlogloss:0.452002
[415] train-mlogloss:0.178421 eval-mlogloss:0.451922
[416] train-mlogloss:0.178168 eval-mlogloss:0.451906
[417] train-mlogloss:0.177813 eval-mlogloss:0.451846
[418] train-mlogloss:0.177573 eval-mlogloss:0.451794
[419] train-mlogloss:0.177401 eval-mlogloss:0.451784
[420] train-mlogloss:0.177110 eval-mlogloss:0.451665
[421] train-mlogloss:0.176923 eval-mlogloss:0.451606
[422] train-mlogloss:0.176685 eval-mlogloss:0.451550
[423] train-mlogloss:0.176415 eval-mlogloss:0.451514
[424] train-mlogloss:0.176138 eval-mlogloss:0.451486
[425] train-mlogloss:0.175890 eval-mlogloss:0.451441
[426] train-mlogloss:0.175613 eval-mlogloss:0.451395
[427] train-mlogloss:0.175401 eval-mlogloss:0.451337
[428] train-mlogloss:0.175063 eval-mlogloss:0.451308
[429] train-mlogloss:0.174905 eval-mlogloss:0.451230
[430] train-mlogloss:0.174627 eval-mlogloss:0.451214
[431] train-mlogloss:0.174366 eval-mlogloss:0.451209
[432] train-mlogloss:0.174035 eval-mlogloss:0.451168
[433] train-mlogloss:0.173711 eval-mlogloss:0.451092
[434] train-mlogloss:0.173513 eval-mlogloss:0.451027
[435] train-mlogloss:0.173350 eval-mlogloss:0.450976
[436] train-mlogloss:0.173123 eval-mlogloss:0.450932
[437] train-mlogloss:0.172899 eval-mlogloss:0.450909
[438] train-mlogloss:0.172719 eval-mlogloss:0.450874
[439] train-mlogloss:0.172425 eval-mlogloss:0.450854
[440] train-mlogloss:0.172194 eval-mlogloss:0.450789
[441] train-mlogloss:0.171913 eval-mlogloss:0.450739
[442] train-mlogloss:0.171727 eval-mlogloss:0.450725
[443] train-mlogloss:0.171452 eval-mlogloss:0.450651
[444] train-mlogloss:0.171266 eval-mlogloss:0.450671
[445] train-mlogloss:0.171070 eval-mlogloss:0.450677
[446] train-mlogloss:0.170917 eval-mlogloss:0.450702
[447] train-mlogloss:0.170734 eval-mlogloss:0.450611
[448] train-mlogloss:0.170428 eval-mlogloss:0.450599
[449] train-mlogloss:0.170111 eval-mlogloss:0.450581
[450] train-mlogloss:0.169955 eval-mlogloss:0.450553
[451] train-mlogloss:0.169728 eval-mlogloss:0.450529
[452] train-mlogloss:0.169569 eval-mlogloss:0.450502
[453] train-mlogloss:0.169247 eval-mlogloss:0.450499
[454] train-mlogloss:0.168903 eval-mlogloss:0.450460
[455] train-mlogloss:0.168627 eval-mlogloss:0.450447
[456] train-mlogloss:0.168427 eval-mlogloss:0.450473
[457] train-mlogloss:0.168192 eval-mlogloss:0.450479
[458] train-mlogloss:0.167944 eval-mlogloss:0.450443
[459] train-mlogloss:0.167743 eval-mlogloss:0.450368
[460] train-mlogloss:0.167579 eval-mlogloss:0.450349
[461] train-mlogloss:0.167347 eval-mlogloss:0.450293
[462] train-mlogloss:0.167125 eval-mlogloss:0.450254
[463] train-mlogloss:0.166899 eval-mlogloss:0.450205
[464] train-mlogloss:0.166663 eval-mlogloss:0.450200
[465] train-mlogloss:0.166431 eval-mlogloss:0.450145
[466] train-mlogloss:0.166179 eval-mlogloss:0.450140
[467] train-mlogloss:0.165914 eval-mlogloss:0.450116
[468] train-mlogloss:0.165748 eval-mlogloss:0.450108
[469] train-mlogloss:0.165562 eval-mlogloss:0.450116
[470] train-mlogloss:0.165279 eval-mlogloss:0.450064
[471] train-mlogloss:0.165050 eval-mlogloss:0.450025
[472] train-mlogloss:0.164840 eval-mlogloss:0.450024
[473] train-mlogloss:0.164660 eval-mlogloss:0.449989
[474] train-mlogloss:0.164420 eval-mlogloss:0.449880
[475] train-mlogloss:0.164157 eval-mlogloss:0.449818
[476] train-mlogloss:0.163910 eval-mlogloss:0.449774
[477] train-mlogloss:0.163689 eval-mlogloss:0.449729
[478] train-mlogloss:0.163375 eval-mlogloss:0.449688
[479] train-mlogloss:0.163169 eval-mlogloss:0.449648
[480] train-mlogloss:0.163037 eval-mlogloss:0.449658
[481] train-mlogloss:0.162884 eval-mlogloss:0.449650
[482] train-mlogloss:0.162626 eval-mlogloss:0.449618
[483] train-mlogloss:0.162484 eval-mlogloss:0.449590
[484] train-mlogloss:0.162275 eval-mlogloss:0.449546
[485] train-mlogloss:0.162010 eval-mlogloss:0.449536
[486] train-mlogloss:0.161826 eval-mlogloss:0.449482
[487] train-mlogloss:0.161656 eval-mlogloss:0.449497
[488] train-mlogloss:0.161378 eval-mlogloss:0.449401
[489] train-mlogloss:0.161214 eval-mlogloss:0.449395
[490] train-mlogloss:0.160767 eval-mlogloss:0.449362
[491] train-mlogloss:0.160545 eval-mlogloss:0.449318
[492] train-mlogloss:0.160359 eval-mlogloss:0.449268
[493] train-mlogloss:0.160116 eval-mlogloss:0.449226
[494] train-mlogloss:0.159964 eval-mlogloss:0.449198
[495] train-mlogloss:0.159750 eval-mlogloss:0.449112
[496] train-mlogloss:0.159586 eval-mlogloss:0.449137
[497] train-mlogloss:0.159435 eval-mlogloss:0.449109
[498] train-mlogloss:0.159250 eval-mlogloss:0.449110
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.8500000000000001, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.65}
Score 0.44914645355893573
[499] train-mlogloss:0.159020 eval-mlogloss:0.449147
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.560607 eval-mlogloss:1.591067
[1] train-mlogloss:1.266269 eval-mlogloss:1.310672
[2] train-mlogloss:1.062787 eval-mlogloss:1.118520
[3] train-mlogloss:0.931871 eval-mlogloss:0.997865
[4] train-mlogloss:0.828872 eval-mlogloss:0.903080
[5] train-mlogloss:0.745169 eval-mlogloss:0.830791
[6] train-mlogloss:0.677773 eval-mlogloss:0.773882
[7] train-mlogloss:0.626593 eval-mlogloss:0.730503
[8] train-mlogloss:0.583742 eval-mlogloss:0.696007
[9] train-mlogloss:0.548611 eval-mlogloss:0.667197
[10] train-mlogloss:0.517460 eval-mlogloss:0.642037
[11] train-mlogloss:0.493484 eval-mlogloss:0.624377
[12] train-mlogloss:0.472769 eval-mlogloss:0.610336
[13] train-mlogloss:0.452763 eval-mlogloss:0.596727
[14] train-mlogloss:0.435869 eval-mlogloss:0.584299
[15] train-mlogloss:0.420448 eval-mlogloss:0.573798
[16] train-mlogloss:0.407810 eval-mlogloss:0.565497
[17] train-mlogloss:0.395445 eval-mlogloss:0.557422
[18] train-mlogloss:0.381921 eval-mlogloss:0.549959
[19] train-mlogloss:0.373188 eval-mlogloss:0.544745
[20] train-mlogloss:0.363461 eval-mlogloss:0.539265
[21] train-mlogloss:0.354388 eval-mlogloss:0.534776
[22] train-mlogloss:0.347934 eval-mlogloss:0.531063
[23] train-mlogloss:0.340659 eval-mlogloss:0.527220
[24] train-mlogloss:0.334139 eval-mlogloss:0.523807
[25] train-mlogloss:0.327595 eval-mlogloss:0.520768
[26] train-mlogloss:0.322711 eval-mlogloss:0.517906
[27] train-mlogloss:0.316345 eval-mlogloss:0.514780
[28] train-mlogloss:0.311700 eval-mlogloss:0.511841
[29] train-mlogloss:0.307108 eval-mlogloss:0.509908
[30] train-mlogloss:0.302806 eval-mlogloss:0.507922
[31] train-mlogloss:0.298870 eval-mlogloss:0.505571
[32] train-mlogloss:0.295340 eval-mlogloss:0.504043
[33] train-mlogloss:0.291977 eval-mlogloss:0.502718
[34] train-mlogloss:0.288466 eval-mlogloss:0.501283
[35] train-mlogloss:0.285476 eval-mlogloss:0.500154
[36] train-mlogloss:0.281182 eval-mlogloss:0.498766
[37] train-mlogloss:0.277569 eval-mlogloss:0.497549
[38] train-mlogloss:0.274293 eval-mlogloss:0.496290
[39] train-mlogloss:0.271451 eval-mlogloss:0.495489
[40] train-mlogloss:0.267558 eval-mlogloss:0.494293
[41] train-mlogloss:0.264607 eval-mlogloss:0.493422
[42] train-mlogloss:0.261300 eval-mlogloss:0.492579
[43] train-mlogloss:0.258613 eval-mlogloss:0.491849
[44] train-mlogloss:0.255614 eval-mlogloss:0.491581
[45] train-mlogloss:0.252791 eval-mlogloss:0.490382
[46] train-mlogloss:0.249867 eval-mlogloss:0.489433
[47] train-mlogloss:0.247392 eval-mlogloss:0.489137
[48] train-mlogloss:0.244719 eval-mlogloss:0.488442
[49] train-mlogloss:0.242481 eval-mlogloss:0.488054
[50] train-mlogloss:0.239631 eval-mlogloss:0.487897
[51] train-mlogloss:0.236342 eval-mlogloss:0.487033
[52] train-mlogloss:0.233952 eval-mlogloss:0.486684
[53] train-mlogloss:0.232053 eval-mlogloss:0.486507
[54] train-mlogloss:0.230119 eval-mlogloss:0.485950
[55] train-mlogloss:0.227765 eval-mlogloss:0.485666
[56] train-mlogloss:0.225106 eval-mlogloss:0.484915
[57] train-mlogloss:0.223227 eval-mlogloss:0.484552
[58] train-mlogloss:0.220950 eval-mlogloss:0.484252
[59] train-mlogloss:0.218699 eval-mlogloss:0.484105
[60] train-mlogloss:0.217381 eval-mlogloss:0.483685
[61] train-mlogloss:0.215488 eval-mlogloss:0.483872
[62] train-mlogloss:0.213306 eval-mlogloss:0.483920
[63] train-mlogloss:0.211733 eval-mlogloss:0.483870
[64] train-mlogloss:0.210128 eval-mlogloss:0.483858
[65] train-mlogloss:0.208327 eval-mlogloss:0.483874
[66] train-mlogloss:0.206995 eval-mlogloss:0.483209
[67] train-mlogloss:0.205389 eval-mlogloss:0.483150
[68] train-mlogloss:0.203312 eval-mlogloss:0.482866
[69] train-mlogloss:0.201851 eval-mlogloss:0.482874
[70] train-mlogloss:0.200656 eval-mlogloss:0.482716
[71] train-mlogloss:0.199482 eval-mlogloss:0.482409
[72] train-mlogloss:0.198338 eval-mlogloss:0.482509
[73] train-mlogloss:0.196717 eval-mlogloss:0.482833
[74] train-mlogloss:0.195207 eval-mlogloss:0.482388
[75] train-mlogloss:0.193874 eval-mlogloss:0.482388
[76] train-mlogloss:0.192759 eval-mlogloss:0.482403
[77] train-mlogloss:0.191550 eval-mlogloss:0.482514
[78] train-mlogloss:0.190600 eval-mlogloss:0.482278
[79] train-mlogloss:0.189463 eval-mlogloss:0.482440
[80] train-mlogloss:0.188103 eval-mlogloss:0.482620
[81] train-mlogloss:0.187065 eval-mlogloss:0.482354
[82] train-mlogloss:0.186160 eval-mlogloss:0.482298
[83] train-mlogloss:0.184667 eval-mlogloss:0.482175
[84] train-mlogloss:0.183385 eval-mlogloss:0.482217
[85] train-mlogloss:0.182087 eval-mlogloss:0.482132
[86] train-mlogloss:0.180960 eval-mlogloss:0.482333
[87] train-mlogloss:0.179882 eval-mlogloss:0.482244
[88] train-mlogloss:0.179125 eval-mlogloss:0.482355
[89] train-mlogloss:0.177894 eval-mlogloss:0.482078
[90] train-mlogloss:0.176837 eval-mlogloss:0.482153
[91] train-mlogloss:0.176129 eval-mlogloss:0.482049
[92] train-mlogloss:0.175122 eval-mlogloss:0.482057
[93] train-mlogloss:0.174045 eval-mlogloss:0.481747
[94] train-mlogloss:0.173095 eval-mlogloss:0.481687
[95] train-mlogloss:0.171932 eval-mlogloss:0.481861
[96] train-mlogloss:0.171020 eval-mlogloss:0.482038
[97] train-mlogloss:0.170341 eval-mlogloss:0.481974
[98] train-mlogloss:0.169534 eval-mlogloss:0.482169
[99] train-mlogloss:0.168607 eval-mlogloss:0.481927
[100] train-mlogloss:0.168066 eval-mlogloss:0.481890
[101] train-mlogloss:0.167289 eval-mlogloss:0.482036
[102] train-mlogloss:0.166446 eval-mlogloss:0.482416
[103] train-mlogloss:0.165504 eval-mlogloss:0.482271
Training with params :
{'eta': 0.325, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.55, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.65, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 1.0}
Score 0.4818796710536061
[104] train-mlogloss:0.165005 eval-mlogloss:0.481880
Stopping. Best iteration:
[94] train-mlogloss:0.173095 eval-mlogloss:0.481687
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.289504 eval-mlogloss:1.326771
[1] train-mlogloss:1.016501 eval-mlogloss:1.076133
[2] train-mlogloss:0.848177 eval-mlogloss:0.924252
[3] train-mlogloss:0.726762 eval-mlogloss:0.817773
[4] train-mlogloss:0.645473 eval-mlogloss:0.750320
[5] train-mlogloss:0.585080 eval-mlogloss:0.700804
[6] train-mlogloss:0.535198 eval-mlogloss:0.663483
[7] train-mlogloss:0.494802 eval-mlogloss:0.633932
[8] train-mlogloss:0.465856 eval-mlogloss:0.612495
[9] train-mlogloss:0.442869 eval-mlogloss:0.595781
[10] train-mlogloss:0.417678 eval-mlogloss:0.579540
[11] train-mlogloss:0.402269 eval-mlogloss:0.568988
[12] train-mlogloss:0.386999 eval-mlogloss:0.559771
[13] train-mlogloss:0.372131 eval-mlogloss:0.551013
[14] train-mlogloss:0.359881 eval-mlogloss:0.543964
[15] train-mlogloss:0.348786 eval-mlogloss:0.537865
[16] train-mlogloss:0.338677 eval-mlogloss:0.532649
[17] train-mlogloss:0.330788 eval-mlogloss:0.527974
[18] train-mlogloss:0.323186 eval-mlogloss:0.523949
[19] train-mlogloss:0.316646 eval-mlogloss:0.520970
[20] train-mlogloss:0.307007 eval-mlogloss:0.518037
[21] train-mlogloss:0.297708 eval-mlogloss:0.515247
[22] train-mlogloss:0.290687 eval-mlogloss:0.513157
[23] train-mlogloss:0.284184 eval-mlogloss:0.511245
[24] train-mlogloss:0.279146 eval-mlogloss:0.508937
[25] train-mlogloss:0.274072 eval-mlogloss:0.506733
[26] train-mlogloss:0.269834 eval-mlogloss:0.505291
[27] train-mlogloss:0.263470 eval-mlogloss:0.504422
[28] train-mlogloss:0.258088 eval-mlogloss:0.502613
[29] train-mlogloss:0.253179 eval-mlogloss:0.501991
[30] train-mlogloss:0.248757 eval-mlogloss:0.501224
[31] train-mlogloss:0.244597 eval-mlogloss:0.500474
[32] train-mlogloss:0.240699 eval-mlogloss:0.499429
[33] train-mlogloss:0.237344 eval-mlogloss:0.498766
[34] train-mlogloss:0.233434 eval-mlogloss:0.497569
[35] train-mlogloss:0.229039 eval-mlogloss:0.496606
[36] train-mlogloss:0.226408 eval-mlogloss:0.496115
[37] train-mlogloss:0.223379 eval-mlogloss:0.495908
[38] train-mlogloss:0.220033 eval-mlogloss:0.495417
[39] train-mlogloss:0.216030 eval-mlogloss:0.495114
[40] train-mlogloss:0.212828 eval-mlogloss:0.494476
[41] train-mlogloss:0.209694 eval-mlogloss:0.493499
[42] train-mlogloss:0.206632 eval-mlogloss:0.493139
[43] train-mlogloss:0.203726 eval-mlogloss:0.493616
[44] train-mlogloss:0.201612 eval-mlogloss:0.492737
[45] train-mlogloss:0.199452 eval-mlogloss:0.492499
[46] train-mlogloss:0.196083 eval-mlogloss:0.493011
[47] train-mlogloss:0.193655 eval-mlogloss:0.492564
[48] train-mlogloss:0.191755 eval-mlogloss:0.492444
[49] train-mlogloss:0.189562 eval-mlogloss:0.491828
[50] train-mlogloss:0.186657 eval-mlogloss:0.491558
[51] train-mlogloss:0.183796 eval-mlogloss:0.491882
[52] train-mlogloss:0.181357 eval-mlogloss:0.492134
[53] train-mlogloss:0.179252 eval-mlogloss:0.491740
[54] train-mlogloss:0.177464 eval-mlogloss:0.491173
[55] train-mlogloss:0.175575 eval-mlogloss:0.491149
[56] train-mlogloss:0.173395 eval-mlogloss:0.491181
[57] train-mlogloss:0.172060 eval-mlogloss:0.491055
[58] train-mlogloss:0.170478 eval-mlogloss:0.490347
[59] train-mlogloss:0.168722 eval-mlogloss:0.490113
[60] train-mlogloss:0.166909 eval-mlogloss:0.490125
[61] train-mlogloss:0.165325 eval-mlogloss:0.490212
[62] train-mlogloss:0.162987 eval-mlogloss:0.490668
[63] train-mlogloss:0.161125 eval-mlogloss:0.490652
[64] train-mlogloss:0.159324 eval-mlogloss:0.490997
[65] train-mlogloss:0.157497 eval-mlogloss:0.491715
[66] train-mlogloss:0.155653 eval-mlogloss:0.492099
[67] train-mlogloss:0.154545 eval-mlogloss:0.492276
[68] train-mlogloss:0.152805 eval-mlogloss:0.492564
[69] train-mlogloss:0.151080 eval-mlogloss:0.492955
Training with params :
{'eta': 0.45, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.65, 'max_depth': 10.0, 'silent': 1, 'subsample': 0.75, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8}
Score 0.4929544816997114
Stopping. Best iteration:
[59] train-mlogloss:0.168722 eval-mlogloss:0.490113
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.709058 eval-mlogloss:1.734830
[1] train-mlogloss:1.450990 eval-mlogloss:1.494327
[2] train-mlogloss:1.263957 eval-mlogloss:1.324502
[3] train-mlogloss:1.111901 eval-mlogloss:1.185952
[4] train-mlogloss:0.991707 eval-mlogloss:1.077147
[5] train-mlogloss:0.894853 eval-mlogloss:0.989422
[6] train-mlogloss:0.814023 eval-mlogloss:0.919248
[7] train-mlogloss:0.750921 eval-mlogloss:0.863957
[8] train-mlogloss:0.693372 eval-mlogloss:0.814561
[9] train-mlogloss:0.645759 eval-mlogloss:0.774026
[10] train-mlogloss:0.606152 eval-mlogloss:0.740889
[11] train-mlogloss:0.570934 eval-mlogloss:0.712535
[12] train-mlogloss:0.537776 eval-mlogloss:0.686530
[13] train-mlogloss:0.511003 eval-mlogloss:0.666300
[14] train-mlogloss:0.485409 eval-mlogloss:0.646212
[15] train-mlogloss:0.461959 eval-mlogloss:0.628881
[16] train-mlogloss:0.442629 eval-mlogloss:0.613782
[17] train-mlogloss:0.427332 eval-mlogloss:0.601133
[18] train-mlogloss:0.410987 eval-mlogloss:0.588848
[19] train-mlogloss:0.395327 eval-mlogloss:0.576694
[20] train-mlogloss:0.382278 eval-mlogloss:0.567779
[21] train-mlogloss:0.372889 eval-mlogloss:0.560701
[22] train-mlogloss:0.363159 eval-mlogloss:0.553760
[23] train-mlogloss:0.354022 eval-mlogloss:0.548055
[24] train-mlogloss:0.344337 eval-mlogloss:0.540877
[25] train-mlogloss:0.336513 eval-mlogloss:0.535668
[26] train-mlogloss:0.328785 eval-mlogloss:0.531400
[27] train-mlogloss:0.322282 eval-mlogloss:0.526971
[28] train-mlogloss:0.315301 eval-mlogloss:0.523124
[29] train-mlogloss:0.309142 eval-mlogloss:0.519396
[30] train-mlogloss:0.302508 eval-mlogloss:0.515554
[31] train-mlogloss:0.297154 eval-mlogloss:0.512461
[32] train-mlogloss:0.291894 eval-mlogloss:0.509370
[33] train-mlogloss:0.287537 eval-mlogloss:0.506658
[34] train-mlogloss:0.282961 eval-mlogloss:0.504068
[35] train-mlogloss:0.279822 eval-mlogloss:0.502236
[36] train-mlogloss:0.274539 eval-mlogloss:0.499875
[37] train-mlogloss:0.270906 eval-mlogloss:0.497464
[38] train-mlogloss:0.266710 eval-mlogloss:0.495578
[39] train-mlogloss:0.263414 eval-mlogloss:0.494248
[40] train-mlogloss:0.260691 eval-mlogloss:0.492575
[41] train-mlogloss:0.257546 eval-mlogloss:0.490703
[42] train-mlogloss:0.254569 eval-mlogloss:0.489403
[43] train-mlogloss:0.251417 eval-mlogloss:0.487873
[44] train-mlogloss:0.249133 eval-mlogloss:0.486996
[45] train-mlogloss:0.245922 eval-mlogloss:0.485508
[46] train-mlogloss:0.243694 eval-mlogloss:0.484313
[47] train-mlogloss:0.241581 eval-mlogloss:0.483305
[48] train-mlogloss:0.239300 eval-mlogloss:0.482596
[49] train-mlogloss:0.236874 eval-mlogloss:0.481818
[50] train-mlogloss:0.234222 eval-mlogloss:0.480614
[51] train-mlogloss:0.232300 eval-mlogloss:0.479676
[52] train-mlogloss:0.230929 eval-mlogloss:0.478985
[53] train-mlogloss:0.229029 eval-mlogloss:0.478621
[54] train-mlogloss:0.227311 eval-mlogloss:0.477807
[55] train-mlogloss:0.225507 eval-mlogloss:0.477033
[56] train-mlogloss:0.223833 eval-mlogloss:0.476617
[57] train-mlogloss:0.221759 eval-mlogloss:0.476062
[58] train-mlogloss:0.219525 eval-mlogloss:0.475358
[59] train-mlogloss:0.217739 eval-mlogloss:0.474978
[60] train-mlogloss:0.216262 eval-mlogloss:0.474578
[61] train-mlogloss:0.213935 eval-mlogloss:0.473929
[62] train-mlogloss:0.211855 eval-mlogloss:0.473699
[63] train-mlogloss:0.210555 eval-mlogloss:0.473236
[64] train-mlogloss:0.209312 eval-mlogloss:0.472768
[65] train-mlogloss:0.207804 eval-mlogloss:0.472502
[66] train-mlogloss:0.206606 eval-mlogloss:0.472390
[67] train-mlogloss:0.205152 eval-mlogloss:0.472132
[68] train-mlogloss:0.204127 eval-mlogloss:0.471842
[69] train-mlogloss:0.202989 eval-mlogloss:0.471442
[70] train-mlogloss:0.200845 eval-mlogloss:0.470882
[71] train-mlogloss:0.199829 eval-mlogloss:0.470671
[72] train-mlogloss:0.197736 eval-mlogloss:0.470620
[73] train-mlogloss:0.196251 eval-mlogloss:0.470344
[74] train-mlogloss:0.195058 eval-mlogloss:0.469903
[75] train-mlogloss:0.193511 eval-mlogloss:0.469380
[76] train-mlogloss:0.192662 eval-mlogloss:0.469065
[77] train-mlogloss:0.191701 eval-mlogloss:0.468826
[78] train-mlogloss:0.190284 eval-mlogloss:0.468726
[79] train-mlogloss:0.189114 eval-mlogloss:0.468481
[80] train-mlogloss:0.187813 eval-mlogloss:0.468252
[81] train-mlogloss:0.186910 eval-mlogloss:0.468152
[82] train-mlogloss:0.185202 eval-mlogloss:0.468031
[83] train-mlogloss:0.184118 eval-mlogloss:0.467802
[84] train-mlogloss:0.183348 eval-mlogloss:0.467453
[85] train-mlogloss:0.182471 eval-mlogloss:0.467243
[86] train-mlogloss:0.181646 eval-mlogloss:0.467220
[87] train-mlogloss:0.180781 eval-mlogloss:0.466909
[88] train-mlogloss:0.179631 eval-mlogloss:0.466709
[89] train-mlogloss:0.178618 eval-mlogloss:0.466293
[90] train-mlogloss:0.177733 eval-mlogloss:0.466244
[91] train-mlogloss:0.176823 eval-mlogloss:0.466176
[92] train-mlogloss:0.176032 eval-mlogloss:0.466049
[93] train-mlogloss:0.175361 eval-mlogloss:0.465911
[94] train-mlogloss:0.174560 eval-mlogloss:0.465568
[95] train-mlogloss:0.173361 eval-mlogloss:0.465404
[96] train-mlogloss:0.172140 eval-mlogloss:0.465213
[97] train-mlogloss:0.171426 eval-mlogloss:0.464999
[98] train-mlogloss:0.170819 eval-mlogloss:0.464776
[99] train-mlogloss:0.170052 eval-mlogloss:0.464841
[100] train-mlogloss:0.169044 eval-mlogloss:0.464851
[101] train-mlogloss:0.168366 eval-mlogloss:0.464609
[102] train-mlogloss:0.167699 eval-mlogloss:0.464471
[103] train-mlogloss:0.167075 eval-mlogloss:0.464298
[104] train-mlogloss:0.166476 eval-mlogloss:0.464078
[105] train-mlogloss:0.165702 eval-mlogloss:0.464312
[106] train-mlogloss:0.164960 eval-mlogloss:0.464388
[107] train-mlogloss:0.163978 eval-mlogloss:0.464283
[108] train-mlogloss:0.163444 eval-mlogloss:0.464227
[109] train-mlogloss:0.162912 eval-mlogloss:0.464264
[110] train-mlogloss:0.162183 eval-mlogloss:0.464226
[111] train-mlogloss:0.161581 eval-mlogloss:0.464191
[112] train-mlogloss:0.160872 eval-mlogloss:0.464225
[113] train-mlogloss:0.160295 eval-mlogloss:0.463954
[114] train-mlogloss:0.159751 eval-mlogloss:0.463952
[115] train-mlogloss:0.159210 eval-mlogloss:0.463728
[116] train-mlogloss:0.158435 eval-mlogloss:0.463688
[117] train-mlogloss:0.157458 eval-mlogloss:0.463699
[118] train-mlogloss:0.156752 eval-mlogloss:0.463424
[119] train-mlogloss:0.156037 eval-mlogloss:0.463750
[120] train-mlogloss:0.155435 eval-mlogloss:0.463736
[121] train-mlogloss:0.154992 eval-mlogloss:0.463609
[122] train-mlogloss:0.154802 eval-mlogloss:0.463685
[123] train-mlogloss:0.154141 eval-mlogloss:0.463793
[124] train-mlogloss:0.153705 eval-mlogloss:0.463775
[125] train-mlogloss:0.153150 eval-mlogloss:0.463860
[126] train-mlogloss:0.152617 eval-mlogloss:0.463776
[127] train-mlogloss:0.152135 eval-mlogloss:0.463663
Training with params :
{'eta': 0.225, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5, 'max_depth': 13.0, 'silent': 1, 'subsample': 0.9, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.8500000000000001}
Score 0.4636347599726517
[128] train-mlogloss:0.151718 eval-mlogloss:0.463635
Stopping. Best iteration:
[118] train-mlogloss:0.156752 eval-mlogloss:0.463424
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.871268 eval-mlogloss:1.884460
[1] train-mlogloss:1.660760 eval-mlogloss:1.687195
[2] train-mlogloss:1.498178 eval-mlogloss:1.535729
[3] train-mlogloss:1.366944 eval-mlogloss:1.414100
[4] train-mlogloss:1.260502 eval-mlogloss:1.317051
[5] train-mlogloss:1.165560 eval-mlogloss:1.229643
[6] train-mlogloss:1.084634 eval-mlogloss:1.155395
[7] train-mlogloss:1.011209 eval-mlogloss:1.089336
[8] train-mlogloss:0.946499 eval-mlogloss:1.031773
[9] train-mlogloss:0.891829 eval-mlogloss:0.981975
[10] train-mlogloss:0.840824 eval-mlogloss:0.936887
[11] train-mlogloss:0.795524 eval-mlogloss:0.897404
[12] train-mlogloss:0.754324 eval-mlogloss:0.861700
[13] train-mlogloss:0.718540 eval-mlogloss:0.829889
[14] train-mlogloss:0.685361 eval-mlogloss:0.801796
[15] train-mlogloss:0.655644 eval-mlogloss:0.776674
[16] train-mlogloss:0.627122 eval-mlogloss:0.752461
[17] train-mlogloss:0.601895 eval-mlogloss:0.731039
[18] train-mlogloss:0.578529 eval-mlogloss:0.711953
[19] train-mlogloss:0.557073 eval-mlogloss:0.694516
[20] train-mlogloss:0.537395 eval-mlogloss:0.678385
[21] train-mlogloss:0.518942 eval-mlogloss:0.664035
[22] train-mlogloss:0.503748 eval-mlogloss:0.651965
[23] train-mlogloss:0.488977 eval-mlogloss:0.639984
[24] train-mlogloss:0.474973 eval-mlogloss:0.629001
[25] train-mlogloss:0.461670 eval-mlogloss:0.619045
[26] train-mlogloss:0.449631 eval-mlogloss:0.609766
[27] train-mlogloss:0.437798 eval-mlogloss:0.601387
[28] train-mlogloss:0.427312 eval-mlogloss:0.593738
[29] train-mlogloss:0.418107 eval-mlogloss:0.586222
[30] train-mlogloss:0.408696 eval-mlogloss:0.579335
[31] train-mlogloss:0.400991 eval-mlogloss:0.573811
[32] train-mlogloss:0.392552 eval-mlogloss:0.567656
[33] train-mlogloss:0.384555 eval-mlogloss:0.561895
[34] train-mlogloss:0.377401 eval-mlogloss:0.557118
[35] train-mlogloss:0.370856 eval-mlogloss:0.552234
[36] train-mlogloss:0.363695 eval-mlogloss:0.547843
[37] train-mlogloss:0.357469 eval-mlogloss:0.543701
[38] train-mlogloss:0.351691 eval-mlogloss:0.539791
[39] train-mlogloss:0.346900 eval-mlogloss:0.536429
[40] train-mlogloss:0.341233 eval-mlogloss:0.532889
[41] train-mlogloss:0.336370 eval-mlogloss:0.529960
[42] train-mlogloss:0.331470 eval-mlogloss:0.526802
[43] train-mlogloss:0.326814 eval-mlogloss:0.523899
[44] train-mlogloss:0.322100 eval-mlogloss:0.521189
[45] train-mlogloss:0.317721 eval-mlogloss:0.518732
[46] train-mlogloss:0.314010 eval-mlogloss:0.516310
[47] train-mlogloss:0.310109 eval-mlogloss:0.513923
[48] train-mlogloss:0.306787 eval-mlogloss:0.511700
[49] train-mlogloss:0.303677 eval-mlogloss:0.509788
[50] train-mlogloss:0.300413 eval-mlogloss:0.507608
[51] train-mlogloss:0.296947 eval-mlogloss:0.505722
[52] train-mlogloss:0.294421 eval-mlogloss:0.504215
[53] train-mlogloss:0.291599 eval-mlogloss:0.502555
[54] train-mlogloss:0.288694 eval-mlogloss:0.500901
[55] train-mlogloss:0.285925 eval-mlogloss:0.499487
[56] train-mlogloss:0.282983 eval-mlogloss:0.497846
[57] train-mlogloss:0.280363 eval-mlogloss:0.496400
[58] train-mlogloss:0.277703 eval-mlogloss:0.495064
[59] train-mlogloss:0.275337 eval-mlogloss:0.493701
[60] train-mlogloss:0.272697 eval-mlogloss:0.492474
[61] train-mlogloss:0.270002 eval-mlogloss:0.491311
[62] train-mlogloss:0.267878 eval-mlogloss:0.490122
[63] train-mlogloss:0.265293 eval-mlogloss:0.488963
[64] train-mlogloss:0.263390 eval-mlogloss:0.487814
[65] train-mlogloss:0.261525 eval-mlogloss:0.486870
[66] train-mlogloss:0.259227 eval-mlogloss:0.485960
[67] train-mlogloss:0.257492 eval-mlogloss:0.485174
[68] train-mlogloss:0.255309 eval-mlogloss:0.484289
[69] train-mlogloss:0.252960 eval-mlogloss:0.483630
[70] train-mlogloss:0.251516 eval-mlogloss:0.482981
[71] train-mlogloss:0.249867 eval-mlogloss:0.482076
[72] train-mlogloss:0.248005 eval-mlogloss:0.481553
[73] train-mlogloss:0.246264 eval-mlogloss:0.480831
[74] train-mlogloss:0.244608 eval-mlogloss:0.480080
[75] train-mlogloss:0.242662 eval-mlogloss:0.479286
[76] train-mlogloss:0.240984 eval-mlogloss:0.478698
[77] train-mlogloss:0.239419 eval-mlogloss:0.478036
[78] train-mlogloss:0.237365 eval-mlogloss:0.477346
[79] train-mlogloss:0.235771 eval-mlogloss:0.476909
[80] train-mlogloss:0.234019 eval-mlogloss:0.476183
[81] train-mlogloss:0.232258 eval-mlogloss:0.475552
[82] train-mlogloss:0.230472 eval-mlogloss:0.474952
[83] train-mlogloss:0.228806 eval-mlogloss:0.474369
[84] train-mlogloss:0.226904 eval-mlogloss:0.473766
[85] train-mlogloss:0.225113 eval-mlogloss:0.473394
[86] train-mlogloss:0.223357 eval-mlogloss:0.472991
[87] train-mlogloss:0.221774 eval-mlogloss:0.472488
[88] train-mlogloss:0.219931 eval-mlogloss:0.471932
[89] train-mlogloss:0.218740 eval-mlogloss:0.471522
[90] train-mlogloss:0.217107 eval-mlogloss:0.470717
[91] train-mlogloss:0.215947 eval-mlogloss:0.470569
[92] train-mlogloss:0.214771 eval-mlogloss:0.470196
[93] train-mlogloss:0.213879 eval-mlogloss:0.469798
[94] train-mlogloss:0.212717 eval-mlogloss:0.469500
[95] train-mlogloss:0.211157 eval-mlogloss:0.468802
[96] train-mlogloss:0.209862 eval-mlogloss:0.468422
[97] train-mlogloss:0.208088 eval-mlogloss:0.467955
[98] train-mlogloss:0.206960 eval-mlogloss:0.467594
[99] train-mlogloss:0.205863 eval-mlogloss:0.467443
[100] train-mlogloss:0.204707 eval-mlogloss:0.467261
[101] train-mlogloss:0.203580 eval-mlogloss:0.466726
[102] train-mlogloss:0.202533 eval-mlogloss:0.466538
[103] train-mlogloss:0.201783 eval-mlogloss:0.466299
[104] train-mlogloss:0.200130 eval-mlogloss:0.466060
[105] train-mlogloss:0.198981 eval-mlogloss:0.465794
[106] train-mlogloss:0.198076 eval-mlogloss:0.465541
[107] train-mlogloss:0.197105 eval-mlogloss:0.465292
[108] train-mlogloss:0.195673 eval-mlogloss:0.464767
[109] train-mlogloss:0.194486 eval-mlogloss:0.464493
[110] train-mlogloss:0.193445 eval-mlogloss:0.464125
[111] train-mlogloss:0.192479 eval-mlogloss:0.463808
[112] train-mlogloss:0.191307 eval-mlogloss:0.463431
[113] train-mlogloss:0.190324 eval-mlogloss:0.463303
[114] train-mlogloss:0.189195 eval-mlogloss:0.462987
[115] train-mlogloss:0.187988 eval-mlogloss:0.462819
[116] train-mlogloss:0.186818 eval-mlogloss:0.462486
[117] train-mlogloss:0.185702 eval-mlogloss:0.462186
[118] train-mlogloss:0.184823 eval-mlogloss:0.461983
[119] train-mlogloss:0.183664 eval-mlogloss:0.461603
[120] train-mlogloss:0.182985 eval-mlogloss:0.461482
[121] train-mlogloss:0.182039 eval-mlogloss:0.461248
[122] train-mlogloss:0.181056 eval-mlogloss:0.461117
[123] train-mlogloss:0.180128 eval-mlogloss:0.460825
[124] train-mlogloss:0.179261 eval-mlogloss:0.460815
[125] train-mlogloss:0.178492 eval-mlogloss:0.460615
[126] train-mlogloss:0.177482 eval-mlogloss:0.460424
[127] train-mlogloss:0.176546 eval-mlogloss:0.460254
[128] train-mlogloss:0.175717 eval-mlogloss:0.460125
[129] train-mlogloss:0.175052 eval-mlogloss:0.460024
[130] train-mlogloss:0.174034 eval-mlogloss:0.459941
[131] train-mlogloss:0.173093 eval-mlogloss:0.459805
[132] train-mlogloss:0.172080 eval-mlogloss:0.459564
[133] train-mlogloss:0.171255 eval-mlogloss:0.459617
[134] train-mlogloss:0.170433 eval-mlogloss:0.459334
[135] train-mlogloss:0.169615 eval-mlogloss:0.459205
[136] train-mlogloss:0.168894 eval-mlogloss:0.459034
[137] train-mlogloss:0.168197 eval-mlogloss:0.458948
[138] train-mlogloss:0.167579 eval-mlogloss:0.458853
[139] train-mlogloss:0.166755 eval-mlogloss:0.458646
[140] train-mlogloss:0.166181 eval-mlogloss:0.458457
[141] train-mlogloss:0.165490 eval-mlogloss:0.458423
[142] train-mlogloss:0.164706 eval-mlogloss:0.458495
[143] train-mlogloss:0.163875 eval-mlogloss:0.458329
[144] train-mlogloss:0.163114 eval-mlogloss:0.458309
[145] train-mlogloss:0.162401 eval-mlogloss:0.458181
[146] train-mlogloss:0.161802 eval-mlogloss:0.458120
[147] train-mlogloss:0.161335 eval-mlogloss:0.457959
[148] train-mlogloss:0.160622 eval-mlogloss:0.457810
[149] train-mlogloss:0.159981 eval-mlogloss:0.457739
[150] train-mlogloss:0.159387 eval-mlogloss:0.457683
[151] train-mlogloss:0.158775 eval-mlogloss:0.457681
[152] train-mlogloss:0.157802 eval-mlogloss:0.457722
[153] train-mlogloss:0.157268 eval-mlogloss:0.457651
[154] train-mlogloss:0.156456 eval-mlogloss:0.457645
[155] train-mlogloss:0.156020 eval-mlogloss:0.457615
[156] train-mlogloss:0.155517 eval-mlogloss:0.457638
[157] train-mlogloss:0.155035 eval-mlogloss:0.457696
[158] train-mlogloss:0.154541 eval-mlogloss:0.457630
[159] train-mlogloss:0.153886 eval-mlogloss:0.457514
[160] train-mlogloss:0.153294 eval-mlogloss:0.457383
[161] train-mlogloss:0.152954 eval-mlogloss:0.457223
[162] train-mlogloss:0.152476 eval-mlogloss:0.457345
[163] train-mlogloss:0.151888 eval-mlogloss:0.457513
[164] train-mlogloss:0.151281 eval-mlogloss:0.457350
[165] train-mlogloss:0.150874 eval-mlogloss:0.457328
[166] train-mlogloss:0.150407 eval-mlogloss:0.457332
[167] train-mlogloss:0.149797 eval-mlogloss:0.457262
[168] train-mlogloss:0.149095 eval-mlogloss:0.457300
[169] train-mlogloss:0.148612 eval-mlogloss:0.457287
[170] train-mlogloss:0.148150 eval-mlogloss:0.457316
[171] train-mlogloss:0.147414 eval-mlogloss:0.457228
Training with params :
{'eta': 0.125, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.8, 'max_depth': 12.0, 'silent': 1, 'subsample': 0.8, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.75}
Score 0.4572276789313969
Stopping. Best iteration:
[161] train-mlogloss:0.152954 eval-mlogloss:0.457223
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.073221 eval-mlogloss:2.077853
[1] train-mlogloss:1.969365 eval-mlogloss:1.978065
[2] train-mlogloss:1.876681 eval-mlogloss:1.889316
[3] train-mlogloss:1.792858 eval-mlogloss:1.808874
[4] train-mlogloss:1.717986 eval-mlogloss:1.736880
[5] train-mlogloss:1.652020 eval-mlogloss:1.673866
[6] train-mlogloss:1.588912 eval-mlogloss:1.613563
[7] train-mlogloss:1.532791 eval-mlogloss:1.560812
[8] train-mlogloss:1.478573 eval-mlogloss:1.509952
[9] train-mlogloss:1.430617 eval-mlogloss:1.464581
[10] train-mlogloss:1.384306 eval-mlogloss:1.421067
[11] train-mlogloss:1.340858 eval-mlogloss:1.380000
[12] train-mlogloss:1.301976 eval-mlogloss:1.343660
[13] train-mlogloss:1.264014 eval-mlogloss:1.308153
[14] train-mlogloss:1.227777 eval-mlogloss:1.273787
[15] train-mlogloss:1.193116 eval-mlogloss:1.241042
[16] train-mlogloss:1.160875 eval-mlogloss:1.210921
[17] train-mlogloss:1.131134 eval-mlogloss:1.183287
[18] train-mlogloss:1.102893 eval-mlogloss:1.157154
[19] train-mlogloss:1.076358 eval-mlogloss:1.132811
[20] train-mlogloss:1.049744 eval-mlogloss:1.108223
[21] train-mlogloss:1.024551 eval-mlogloss:1.085170
[22] train-mlogloss:1.000495 eval-mlogloss:1.063126
[23] train-mlogloss:0.976924 eval-mlogloss:1.041469
[24] train-mlogloss:0.955457 eval-mlogloss:1.021877
[25] train-mlogloss:0.934701 eval-mlogloss:1.002940
[26] train-mlogloss:0.914254 eval-mlogloss:0.984450
[27] train-mlogloss:0.895828 eval-mlogloss:0.967735
[28] train-mlogloss:0.877933 eval-mlogloss:0.951439
[29] train-mlogloss:0.861039 eval-mlogloss:0.936143
[30] train-mlogloss:0.844368 eval-mlogloss:0.921094
[31] train-mlogloss:0.828215 eval-mlogloss:0.906518
[32] train-mlogloss:0.812940 eval-mlogloss:0.892853
[33] train-mlogloss:0.798497 eval-mlogloss:0.879996
[34] train-mlogloss:0.783928 eval-mlogloss:0.867044
[35] train-mlogloss:0.770602 eval-mlogloss:0.855029
[36] train-mlogloss:0.756818 eval-mlogloss:0.842769
[37] train-mlogloss:0.743773 eval-mlogloss:0.831170
[38] train-mlogloss:0.731067 eval-mlogloss:0.820000
[39] train-mlogloss:0.718979 eval-mlogloss:0.809442
[40] train-mlogloss:0.706926 eval-mlogloss:0.799177
[41] train-mlogloss:0.695916 eval-mlogloss:0.789638
[42] train-mlogloss:0.684906 eval-mlogloss:0.780172
[43] train-mlogloss:0.674547 eval-mlogloss:0.771156
[44] train-mlogloss:0.665015 eval-mlogloss:0.762876
[45] train-mlogloss:0.655579 eval-mlogloss:0.754614
[46] train-mlogloss:0.646208 eval-mlogloss:0.746987
[47] train-mlogloss:0.637237 eval-mlogloss:0.739209
[48] train-mlogloss:0.628594 eval-mlogloss:0.731868
[49] train-mlogloss:0.620322 eval-mlogloss:0.724801
[50] train-mlogloss:0.612339 eval-mlogloss:0.718086
[51] train-mlogloss:0.604580 eval-mlogloss:0.711675
[52] train-mlogloss:0.597452 eval-mlogloss:0.705717
[53] train-mlogloss:0.590777 eval-mlogloss:0.700016
[54] train-mlogloss:0.583884 eval-mlogloss:0.694127
[55] train-mlogloss:0.576733 eval-mlogloss:0.688208
[56] train-mlogloss:0.570023 eval-mlogloss:0.682738
[57] train-mlogloss:0.563424 eval-mlogloss:0.677205
[58] train-mlogloss:0.557179 eval-mlogloss:0.672232
[59] train-mlogloss:0.550911 eval-mlogloss:0.667109
[60] train-mlogloss:0.545007 eval-mlogloss:0.662155
[61] train-mlogloss:0.539080 eval-mlogloss:0.657287
[62] train-mlogloss:0.533720 eval-mlogloss:0.652749
[63] train-mlogloss:0.528473 eval-mlogloss:0.648421
[64] train-mlogloss:0.523170 eval-mlogloss:0.644158
[65] train-mlogloss:0.518224 eval-mlogloss:0.639938
[66] train-mlogloss:0.513191 eval-mlogloss:0.635939
[67] train-mlogloss:0.508271 eval-mlogloss:0.632167
[68] train-mlogloss:0.503461 eval-mlogloss:0.628291
[69] train-mlogloss:0.498705 eval-mlogloss:0.624632
[70] train-mlogloss:0.493942 eval-mlogloss:0.621010
[71] train-mlogloss:0.489853 eval-mlogloss:0.617644
[72] train-mlogloss:0.485856 eval-mlogloss:0.614472
[73] train-mlogloss:0.482131 eval-mlogloss:0.611375
[74] train-mlogloss:0.478540 eval-mlogloss:0.608476
[75] train-mlogloss:0.474881 eval-mlogloss:0.605565
[76] train-mlogloss:0.470971 eval-mlogloss:0.602620
[77] train-mlogloss:0.467434 eval-mlogloss:0.599939
[78] train-mlogloss:0.463780 eval-mlogloss:0.597114
[79] train-mlogloss:0.460162 eval-mlogloss:0.594334
[80] train-mlogloss:0.456929 eval-mlogloss:0.591812
[81] train-mlogloss:0.453609 eval-mlogloss:0.589216
[82] train-mlogloss:0.450332 eval-mlogloss:0.586737
[83] train-mlogloss:0.446860 eval-mlogloss:0.584316
[84] train-mlogloss:0.443835 eval-mlogloss:0.581991
[85] train-mlogloss:0.440987 eval-mlogloss:0.579700
[86] train-mlogloss:0.437853 eval-mlogloss:0.577583
[87] train-mlogloss:0.434975 eval-mlogloss:0.575404
[88] train-mlogloss:0.432142 eval-mlogloss:0.573250
[89] train-mlogloss:0.429628 eval-mlogloss:0.571330
[90] train-mlogloss:0.427268 eval-mlogloss:0.569570
[91] train-mlogloss:0.424556 eval-mlogloss:0.567613
[92] train-mlogloss:0.421970 eval-mlogloss:0.565683
[93] train-mlogloss:0.419588 eval-mlogloss:0.563890
[94] train-mlogloss:0.417249 eval-mlogloss:0.562120
[95] train-mlogloss:0.414684 eval-mlogloss:0.560259
[96] train-mlogloss:0.412089 eval-mlogloss:0.558535
[97] train-mlogloss:0.409745 eval-mlogloss:0.556830
[98] train-mlogloss:0.407440 eval-mlogloss:0.555289
[99] train-mlogloss:0.405054 eval-mlogloss:0.553587
[100] train-mlogloss:0.402840 eval-mlogloss:0.552050
[101] train-mlogloss:0.400866 eval-mlogloss:0.550589
[102] train-mlogloss:0.398563 eval-mlogloss:0.549097
[103] train-mlogloss:0.396709 eval-mlogloss:0.547784
[104] train-mlogloss:0.394616 eval-mlogloss:0.546455
[105] train-mlogloss:0.392739 eval-mlogloss:0.545184
[106] train-mlogloss:0.390724 eval-mlogloss:0.543786
[107] train-mlogloss:0.389090 eval-mlogloss:0.542662
[108] train-mlogloss:0.387473 eval-mlogloss:0.541468
[109] train-mlogloss:0.385626 eval-mlogloss:0.540191
[110] train-mlogloss:0.383694 eval-mlogloss:0.538935
[111] train-mlogloss:0.382280 eval-mlogloss:0.537894
[112] train-mlogloss:0.380853 eval-mlogloss:0.536774
[113] train-mlogloss:0.379283 eval-mlogloss:0.535773
[114] train-mlogloss:0.377832 eval-mlogloss:0.534788
[115] train-mlogloss:0.376217 eval-mlogloss:0.533693
[116] train-mlogloss:0.374630 eval-mlogloss:0.532603
[117] train-mlogloss:0.373222 eval-mlogloss:0.531633
[118] train-mlogloss:0.371742 eval-mlogloss:0.530616
[119] train-mlogloss:0.369935 eval-mlogloss:0.529504
[120] train-mlogloss:0.368354 eval-mlogloss:0.528469
[121] train-mlogloss:0.366955 eval-mlogloss:0.527543
[122] train-mlogloss:0.365696 eval-mlogloss:0.526734
[123] train-mlogloss:0.364389 eval-mlogloss:0.525785
[124] train-mlogloss:0.362704 eval-mlogloss:0.524706
[125] train-mlogloss:0.361443 eval-mlogloss:0.523808
[126] train-mlogloss:0.360468 eval-mlogloss:0.523068
[127] train-mlogloss:0.359090 eval-mlogloss:0.522236
[128] train-mlogloss:0.357790 eval-mlogloss:0.521378
[129] train-mlogloss:0.356465 eval-mlogloss:0.520548
[130] train-mlogloss:0.355349 eval-mlogloss:0.519856
[131] train-mlogloss:0.354135 eval-mlogloss:0.519105
[132] train-mlogloss:0.352975 eval-mlogloss:0.518380
[133] train-mlogloss:0.351819 eval-mlogloss:0.517610
[134] train-mlogloss:0.350542 eval-mlogloss:0.516828
[135] train-mlogloss:0.349185 eval-mlogloss:0.515999
[136] train-mlogloss:0.348076 eval-mlogloss:0.515308
[137] train-mlogloss:0.346835 eval-mlogloss:0.514576
[138] train-mlogloss:0.345900 eval-mlogloss:0.513872
[139] train-mlogloss:0.344726 eval-mlogloss:0.513144
[140] train-mlogloss:0.343344 eval-mlogloss:0.512310
[141] train-mlogloss:0.342442 eval-mlogloss:0.511645
[142] train-mlogloss:0.341261 eval-mlogloss:0.511059
[143] train-mlogloss:0.340459 eval-mlogloss:0.510558
[144] train-mlogloss:0.339379 eval-mlogloss:0.509941
[145] train-mlogloss:0.338498 eval-mlogloss:0.509407
[146] train-mlogloss:0.337702 eval-mlogloss:0.508872
[147] train-mlogloss:0.336669 eval-mlogloss:0.508301
[148] train-mlogloss:0.335584 eval-mlogloss:0.507696
[149] train-mlogloss:0.334685 eval-mlogloss:0.507035
[150] train-mlogloss:0.333731 eval-mlogloss:0.506477
[151] train-mlogloss:0.332746 eval-mlogloss:0.505815
[152] train-mlogloss:0.331766 eval-mlogloss:0.505280
[153] train-mlogloss:0.331005 eval-mlogloss:0.504810
[154] train-mlogloss:0.330083 eval-mlogloss:0.504303
[155] train-mlogloss:0.329308 eval-mlogloss:0.503825
[156] train-mlogloss:0.328324 eval-mlogloss:0.503258
[157] train-mlogloss:0.327639 eval-mlogloss:0.502748
[158] train-mlogloss:0.326627 eval-mlogloss:0.502252
[159] train-mlogloss:0.325456 eval-mlogloss:0.501693
[160] train-mlogloss:0.324522 eval-mlogloss:0.501171
[161] train-mlogloss:0.323620 eval-mlogloss:0.500638
[162] train-mlogloss:0.322799 eval-mlogloss:0.500152
[163] train-mlogloss:0.322026 eval-mlogloss:0.499691
[164] train-mlogloss:0.321401 eval-mlogloss:0.499270
[165] train-mlogloss:0.320457 eval-mlogloss:0.498791
[166] train-mlogloss:0.319786 eval-mlogloss:0.498339
[167] train-mlogloss:0.318844 eval-mlogloss:0.497788
[168] train-mlogloss:0.318007 eval-mlogloss:0.497328
[169] train-mlogloss:0.317225 eval-mlogloss:0.496940
[170] train-mlogloss:0.316498 eval-mlogloss:0.496550
[171] train-mlogloss:0.315916 eval-mlogloss:0.496232
[172] train-mlogloss:0.315131 eval-mlogloss:0.495795
[173] train-mlogloss:0.314337 eval-mlogloss:0.495377
[174] train-mlogloss:0.313557 eval-mlogloss:0.494942
[175] train-mlogloss:0.312862 eval-mlogloss:0.494535
[176] train-mlogloss:0.312209 eval-mlogloss:0.494146
[177] train-mlogloss:0.311607 eval-mlogloss:0.493804
[178] train-mlogloss:0.310691 eval-mlogloss:0.493388
[179] train-mlogloss:0.310138 eval-mlogloss:0.493038
[180] train-mlogloss:0.309476 eval-mlogloss:0.492792
[181] train-mlogloss:0.308573 eval-mlogloss:0.492400
[182] train-mlogloss:0.307871 eval-mlogloss:0.492079
[183] train-mlogloss:0.307143 eval-mlogloss:0.491682
[184] train-mlogloss:0.306684 eval-mlogloss:0.491394
[185] train-mlogloss:0.306092 eval-mlogloss:0.491053
[186] train-mlogloss:0.305510 eval-mlogloss:0.490799
[187] train-mlogloss:0.304682 eval-mlogloss:0.490371
[188] train-mlogloss:0.303955 eval-mlogloss:0.489978
[189] train-mlogloss:0.303170 eval-mlogloss:0.489623
[190] train-mlogloss:0.302602 eval-mlogloss:0.489275
[191] train-mlogloss:0.302128 eval-mlogloss:0.488979
[192] train-mlogloss:0.301421 eval-mlogloss:0.488712
[193] train-mlogloss:0.300672 eval-mlogloss:0.488441
[194] train-mlogloss:0.299842 eval-mlogloss:0.488063
[195] train-mlogloss:0.299222 eval-mlogloss:0.487722
[196] train-mlogloss:0.298527 eval-mlogloss:0.487409
[197] train-mlogloss:0.297772 eval-mlogloss:0.487130
[198] train-mlogloss:0.297047 eval-mlogloss:0.486827
[199] train-mlogloss:0.296287 eval-mlogloss:0.486507
[200] train-mlogloss:0.295232 eval-mlogloss:0.486144
[201] train-mlogloss:0.294616 eval-mlogloss:0.485839
[202] train-mlogloss:0.294087 eval-mlogloss:0.485586
[203] train-mlogloss:0.293511 eval-mlogloss:0.485336
[204] train-mlogloss:0.293055 eval-mlogloss:0.485118
[205] train-mlogloss:0.292333 eval-mlogloss:0.484871
[206] train-mlogloss:0.291708 eval-mlogloss:0.484546
[207] train-mlogloss:0.291121 eval-mlogloss:0.484291
[208] train-mlogloss:0.290531 eval-mlogloss:0.483964
[209] train-mlogloss:0.290136 eval-mlogloss:0.483802
[210] train-mlogloss:0.289591 eval-mlogloss:0.483591
[211] train-mlogloss:0.288875 eval-mlogloss:0.483262
[212] train-mlogloss:0.288091 eval-mlogloss:0.482924
[213] train-mlogloss:0.287668 eval-mlogloss:0.482709
[214] train-mlogloss:0.287026 eval-mlogloss:0.482466
[215] train-mlogloss:0.286369 eval-mlogloss:0.482214
[216] train-mlogloss:0.285838 eval-mlogloss:0.481966
[217] train-mlogloss:0.285208 eval-mlogloss:0.481727
[218] train-mlogloss:0.284723 eval-mlogloss:0.481507
[219] train-mlogloss:0.284205 eval-mlogloss:0.481287
[220] train-mlogloss:0.283689 eval-mlogloss:0.481051
[221] train-mlogloss:0.283153 eval-mlogloss:0.480815
[222] train-mlogloss:0.282588 eval-mlogloss:0.480606
[223] train-mlogloss:0.282051 eval-mlogloss:0.480338
[224] train-mlogloss:0.281541 eval-mlogloss:0.480123
[225] train-mlogloss:0.280930 eval-mlogloss:0.479871
[226] train-mlogloss:0.280391 eval-mlogloss:0.479684
[227] train-mlogloss:0.279645 eval-mlogloss:0.479395
[228] train-mlogloss:0.279052 eval-mlogloss:0.479181
[229] train-mlogloss:0.278417 eval-mlogloss:0.478989
[230] train-mlogloss:0.277962 eval-mlogloss:0.478802
[231] train-mlogloss:0.277643 eval-mlogloss:0.478624
[232] train-mlogloss:0.276935 eval-mlogloss:0.478405
[233] train-mlogloss:0.276311 eval-mlogloss:0.478114
[234] train-mlogloss:0.275613 eval-mlogloss:0.477928
[235] train-mlogloss:0.274915 eval-mlogloss:0.477622
[236] train-mlogloss:0.274491 eval-mlogloss:0.477378
[237] train-mlogloss:0.274155 eval-mlogloss:0.477245
[238] train-mlogloss:0.273753 eval-mlogloss:0.477013
[239] train-mlogloss:0.273032 eval-mlogloss:0.476742
[240] train-mlogloss:0.272363 eval-mlogloss:0.476484
[241] train-mlogloss:0.271900 eval-mlogloss:0.476290
[242] train-mlogloss:0.271312 eval-mlogloss:0.476125
[243] train-mlogloss:0.270892 eval-mlogloss:0.476004
[244] train-mlogloss:0.270426 eval-mlogloss:0.475810
[245] train-mlogloss:0.270013 eval-mlogloss:0.475657
[246] train-mlogloss:0.269498 eval-mlogloss:0.475468
[247] train-mlogloss:0.268975 eval-mlogloss:0.475302
[248] train-mlogloss:0.268514 eval-mlogloss:0.475122
[249] train-mlogloss:0.268123 eval-mlogloss:0.474957
[250] train-mlogloss:0.267511 eval-mlogloss:0.474791
[251] train-mlogloss:0.266848 eval-mlogloss:0.474589
[252] train-mlogloss:0.266441 eval-mlogloss:0.474391
[253] train-mlogloss:0.265999 eval-mlogloss:0.474197
[254] train-mlogloss:0.265504 eval-mlogloss:0.473944
[255] train-mlogloss:0.265046 eval-mlogloss:0.473786
[256] train-mlogloss:0.264576 eval-mlogloss:0.473698
[257] train-mlogloss:0.264146 eval-mlogloss:0.473488
[258] train-mlogloss:0.263743 eval-mlogloss:0.473340
[259] train-mlogloss:0.263376 eval-mlogloss:0.473140
[260] train-mlogloss:0.262984 eval-mlogloss:0.473038
[261] train-mlogloss:0.262376 eval-mlogloss:0.472834
[262] train-mlogloss:0.261619 eval-mlogloss:0.472639
[263] train-mlogloss:0.260983 eval-mlogloss:0.472465
[264] train-mlogloss:0.260551 eval-mlogloss:0.472261
[265] train-mlogloss:0.260073 eval-mlogloss:0.472075
[266] train-mlogloss:0.259681 eval-mlogloss:0.471930
[267] train-mlogloss:0.259288 eval-mlogloss:0.471733
[268] train-mlogloss:0.258690 eval-mlogloss:0.471513
[269] train-mlogloss:0.258271 eval-mlogloss:0.471422
[270] train-mlogloss:0.257832 eval-mlogloss:0.471225
[271] train-mlogloss:0.257412 eval-mlogloss:0.471080
[272] train-mlogloss:0.256880 eval-mlogloss:0.470919
[273] train-mlogloss:0.256515 eval-mlogloss:0.470797
[274] train-mlogloss:0.256170 eval-mlogloss:0.470684
[275] train-mlogloss:0.255712 eval-mlogloss:0.470553
[276] train-mlogloss:0.255215 eval-mlogloss:0.470361
[277] train-mlogloss:0.254873 eval-mlogloss:0.470203
[278] train-mlogloss:0.254290 eval-mlogloss:0.470033
[279] train-mlogloss:0.253739 eval-mlogloss:0.469896
[280] train-mlogloss:0.253271 eval-mlogloss:0.469759
[281] train-mlogloss:0.252877 eval-mlogloss:0.469689
[282] train-mlogloss:0.252375 eval-mlogloss:0.469535
[283] train-mlogloss:0.251988 eval-mlogloss:0.469434
[284] train-mlogloss:0.251646 eval-mlogloss:0.469363
[285] train-mlogloss:0.251237 eval-mlogloss:0.469222
[286] train-mlogloss:0.250924 eval-mlogloss:0.469182
[287] train-mlogloss:0.250420 eval-mlogloss:0.468986
[288] train-mlogloss:0.250075 eval-mlogloss:0.468837
[289] train-mlogloss:0.249660 eval-mlogloss:0.468662
[290] train-mlogloss:0.249258 eval-mlogloss:0.468483
[291] train-mlogloss:0.248935 eval-mlogloss:0.468326
[292] train-mlogloss:0.248393 eval-mlogloss:0.468164
[293] train-mlogloss:0.247966 eval-mlogloss:0.468012
[294] train-mlogloss:0.247666 eval-mlogloss:0.467926
[295] train-mlogloss:0.247265 eval-mlogloss:0.467771
[296] train-mlogloss:0.246938 eval-mlogloss:0.467678
[297] train-mlogloss:0.246682 eval-mlogloss:0.467629
[298] train-mlogloss:0.246280 eval-mlogloss:0.467492
[299] train-mlogloss:0.245769 eval-mlogloss:0.467414
[300] train-mlogloss:0.245469 eval-mlogloss:0.467250
[301] train-mlogloss:0.244992 eval-mlogloss:0.467103
[302] train-mlogloss:0.244623 eval-mlogloss:0.466978
[303] train-mlogloss:0.244281 eval-mlogloss:0.466846
[304] train-mlogloss:0.243784 eval-mlogloss:0.466713
[305] train-mlogloss:0.243400 eval-mlogloss:0.466617
[306] train-mlogloss:0.242992 eval-mlogloss:0.466484
[307] train-mlogloss:0.242516 eval-mlogloss:0.466402
[308] train-mlogloss:0.242021 eval-mlogloss:0.466286
[309] train-mlogloss:0.241643 eval-mlogloss:0.466256
[310] train-mlogloss:0.241265 eval-mlogloss:0.466128
[311] train-mlogloss:0.240781 eval-mlogloss:0.466000
[312] train-mlogloss:0.240390 eval-mlogloss:0.465892
[313] train-mlogloss:0.240122 eval-mlogloss:0.465802
[314] train-mlogloss:0.239757 eval-mlogloss:0.465711
[315] train-mlogloss:0.239282 eval-mlogloss:0.465543
[316] train-mlogloss:0.238854 eval-mlogloss:0.465351
[317] train-mlogloss:0.238590 eval-mlogloss:0.465293
[318] train-mlogloss:0.238111 eval-mlogloss:0.465133
[319] train-mlogloss:0.237691 eval-mlogloss:0.465042
[320] train-mlogloss:0.237441 eval-mlogloss:0.464998
[321] train-mlogloss:0.236991 eval-mlogloss:0.464876
[322] train-mlogloss:0.236621 eval-mlogloss:0.464726
[323] train-mlogloss:0.236266 eval-mlogloss:0.464644
[324] train-mlogloss:0.235969 eval-mlogloss:0.464576
[325] train-mlogloss:0.235522 eval-mlogloss:0.464557
[326] train-mlogloss:0.235074 eval-mlogloss:0.464470
[327] train-mlogloss:0.234681 eval-mlogloss:0.464346
[328] train-mlogloss:0.234341 eval-mlogloss:0.464243
[329] train-mlogloss:0.234060 eval-mlogloss:0.464193
[330] train-mlogloss:0.233682 eval-mlogloss:0.464048
[331] train-mlogloss:0.233368 eval-mlogloss:0.463927
[332] train-mlogloss:0.232956 eval-mlogloss:0.463786
[333] train-mlogloss:0.232679 eval-mlogloss:0.463742
[334] train-mlogloss:0.232280 eval-mlogloss:0.463617
[335] train-mlogloss:0.231997 eval-mlogloss:0.463485
[336] train-mlogloss:0.231599 eval-mlogloss:0.463351
[337] train-mlogloss:0.231235 eval-mlogloss:0.463220
[338] train-mlogloss:0.230855 eval-mlogloss:0.463147
[339] train-mlogloss:0.230558 eval-mlogloss:0.463068
[340] train-mlogloss:0.230294 eval-mlogloss:0.463039
[341] train-mlogloss:0.229907 eval-mlogloss:0.462967
[342] train-mlogloss:0.229577 eval-mlogloss:0.462902
[343] train-mlogloss:0.229303 eval-mlogloss:0.462827
[344] train-mlogloss:0.228854 eval-mlogloss:0.462774
[345] train-mlogloss:0.228442 eval-mlogloss:0.462644
[346] train-mlogloss:0.228110 eval-mlogloss:0.462606
[347] train-mlogloss:0.227642 eval-mlogloss:0.462519
[348] train-mlogloss:0.227341 eval-mlogloss:0.462445
[349] train-mlogloss:0.227059 eval-mlogloss:0.462374
[350] train-mlogloss:0.226733 eval-mlogloss:0.462296
[351] train-mlogloss:0.226317 eval-mlogloss:0.462169
[352] train-mlogloss:0.225913 eval-mlogloss:0.462095
[353] train-mlogloss:0.225525 eval-mlogloss:0.461996
[354] train-mlogloss:0.225270 eval-mlogloss:0.461981
[355] train-mlogloss:0.225078 eval-mlogloss:0.461935
[356] train-mlogloss:0.224605 eval-mlogloss:0.461837
[357] train-mlogloss:0.224253 eval-mlogloss:0.461722
[358] train-mlogloss:0.223901 eval-mlogloss:0.461572
[359] train-mlogloss:0.223569 eval-mlogloss:0.461481
[360] train-mlogloss:0.223123 eval-mlogloss:0.461459
[361] train-mlogloss:0.222882 eval-mlogloss:0.461408
[362] train-mlogloss:0.222614 eval-mlogloss:0.461319
[363] train-mlogloss:0.222230 eval-mlogloss:0.461267
[364] train-mlogloss:0.221859 eval-mlogloss:0.461121
[365] train-mlogloss:0.221614 eval-mlogloss:0.461087
[366] train-mlogloss:0.221208 eval-mlogloss:0.461009
[367] train-mlogloss:0.220824 eval-mlogloss:0.460970
[368] train-mlogloss:0.220536 eval-mlogloss:0.460882
[369] train-mlogloss:0.220175 eval-mlogloss:0.460779
[370] train-mlogloss:0.219846 eval-mlogloss:0.460661
[371] train-mlogloss:0.219673 eval-mlogloss:0.460648
[372] train-mlogloss:0.219515 eval-mlogloss:0.460596
[373] train-mlogloss:0.219197 eval-mlogloss:0.460503
[374] train-mlogloss:0.218844 eval-mlogloss:0.460343
[375] train-mlogloss:0.218545 eval-mlogloss:0.460360
[376] train-mlogloss:0.218265 eval-mlogloss:0.460318
[377] train-mlogloss:0.218014 eval-mlogloss:0.460306
[378] train-mlogloss:0.217784 eval-mlogloss:0.460272
[379] train-mlogloss:0.217541 eval-mlogloss:0.460205
[380] train-mlogloss:0.217209 eval-mlogloss:0.460130
[381] train-mlogloss:0.216817 eval-mlogloss:0.460062
[382] train-mlogloss:0.216566 eval-mlogloss:0.459962
[383] train-mlogloss:0.216245 eval-mlogloss:0.459845
[384] train-mlogloss:0.215838 eval-mlogloss:0.459793
[385] train-mlogloss:0.215515 eval-mlogloss:0.459727
[386] train-mlogloss:0.215194 eval-mlogloss:0.459712
[387] train-mlogloss:0.214940 eval-mlogloss:0.459615
[388] train-mlogloss:0.214757 eval-mlogloss:0.459513
[389] train-mlogloss:0.214429 eval-mlogloss:0.459398
[390] train-mlogloss:0.214038 eval-mlogloss:0.459352
[391] train-mlogloss:0.213811 eval-mlogloss:0.459296
[392] train-mlogloss:0.213603 eval-mlogloss:0.459262
[393] train-mlogloss:0.213450 eval-mlogloss:0.459266
[394] train-mlogloss:0.213161 eval-mlogloss:0.459162
[395] train-mlogloss:0.212823 eval-mlogloss:0.459138
[396] train-mlogloss:0.212575 eval-mlogloss:0.459079
[397] train-mlogloss:0.212304 eval-mlogloss:0.458998
[398] train-mlogloss:0.212062 eval-mlogloss:0.458925
[399] train-mlogloss:0.211813 eval-mlogloss:0.458894
[400] train-mlogloss:0.211445 eval-mlogloss:0.458852
[401] train-mlogloss:0.211220 eval-mlogloss:0.458819
[402] train-mlogloss:0.210884 eval-mlogloss:0.458725
[403] train-mlogloss:0.210611 eval-mlogloss:0.458673
[404] train-mlogloss:0.210421 eval-mlogloss:0.458617
[405] train-mlogloss:0.210097 eval-mlogloss:0.458581
[406] train-mlogloss:0.209838 eval-mlogloss:0.458574
[407] train-mlogloss:0.209424 eval-mlogloss:0.458515
[408] train-mlogloss:0.209144 eval-mlogloss:0.458478
[409] train-mlogloss:0.208851 eval-mlogloss:0.458406
[410] train-mlogloss:0.208535 eval-mlogloss:0.458320
[411] train-mlogloss:0.208267 eval-mlogloss:0.458227
[412] train-mlogloss:0.207934 eval-mlogloss:0.458183
[413] train-mlogloss:0.207603 eval-mlogloss:0.458103
[414] train-mlogloss:0.207280 eval-mlogloss:0.458035
[415] train-mlogloss:0.206987 eval-mlogloss:0.457927
[416] train-mlogloss:0.206806 eval-mlogloss:0.457872
[417] train-mlogloss:0.206541 eval-mlogloss:0.457816
[418] train-mlogloss:0.206325 eval-mlogloss:0.457810
[419] train-mlogloss:0.205989 eval-mlogloss:0.457696
[420] train-mlogloss:0.205778 eval-mlogloss:0.457651
[421] train-mlogloss:0.205551 eval-mlogloss:0.457623
[422] train-mlogloss:0.205323 eval-mlogloss:0.457581
[423] train-mlogloss:0.205135 eval-mlogloss:0.457543
[424] train-mlogloss:0.204822 eval-mlogloss:0.457530
[425] train-mlogloss:0.204626 eval-mlogloss:0.457498
[426] train-mlogloss:0.204324 eval-mlogloss:0.457487
[427] train-mlogloss:0.204054 eval-mlogloss:0.457435
[428] train-mlogloss:0.203681 eval-mlogloss:0.457358
[429] train-mlogloss:0.203479 eval-mlogloss:0.457359
[430] train-mlogloss:0.203158 eval-mlogloss:0.457286
[431] train-mlogloss:0.202878 eval-mlogloss:0.457265
[432] train-mlogloss:0.202682 eval-mlogloss:0.457178
[433] train-mlogloss:0.202430 eval-mlogloss:0.457144
[434] train-mlogloss:0.202184 eval-mlogloss:0.457128
[435] train-mlogloss:0.201958 eval-mlogloss:0.457113
[436] train-mlogloss:0.201619 eval-mlogloss:0.457091
[437] train-mlogloss:0.201390 eval-mlogloss:0.457050
[438] train-mlogloss:0.201200 eval-mlogloss:0.457020
[439] train-mlogloss:0.200920 eval-mlogloss:0.456976
[440] train-mlogloss:0.200749 eval-mlogloss:0.456972
[441] train-mlogloss:0.200539 eval-mlogloss:0.456998
[442] train-mlogloss:0.200245 eval-mlogloss:0.456929
[443] train-mlogloss:0.199982 eval-mlogloss:0.456852
[444] train-mlogloss:0.199783 eval-mlogloss:0.456844
[445] train-mlogloss:0.199501 eval-mlogloss:0.456809
[446] train-mlogloss:0.199342 eval-mlogloss:0.456804
[447] train-mlogloss:0.199139 eval-mlogloss:0.456748
[448] train-mlogloss:0.198957 eval-mlogloss:0.456705
[449] train-mlogloss:0.198640 eval-mlogloss:0.456683
[450] train-mlogloss:0.198436 eval-mlogloss:0.456629
[451] train-mlogloss:0.198236 eval-mlogloss:0.456584
[452] train-mlogloss:0.198031 eval-mlogloss:0.456546
[453] train-mlogloss:0.197751 eval-mlogloss:0.456477
[454] train-mlogloss:0.197552 eval-mlogloss:0.456451
[455] train-mlogloss:0.197358 eval-mlogloss:0.456385
[456] train-mlogloss:0.197029 eval-mlogloss:0.456381
[457] train-mlogloss:0.196777 eval-mlogloss:0.456304
[458] train-mlogloss:0.196453 eval-mlogloss:0.456221
[459] train-mlogloss:0.196158 eval-mlogloss:0.456158
[460] train-mlogloss:0.195830 eval-mlogloss:0.456131
[461] train-mlogloss:0.195547 eval-mlogloss:0.456058
[462] train-mlogloss:0.195272 eval-mlogloss:0.456016
[463] train-mlogloss:0.195110 eval-mlogloss:0.456004
[464] train-mlogloss:0.194872 eval-mlogloss:0.455963
[465] train-mlogloss:0.194669 eval-mlogloss:0.455892
[466] train-mlogloss:0.194537 eval-mlogloss:0.455857
[467] train-mlogloss:0.194284 eval-mlogloss:0.455819
[468] train-mlogloss:0.194063 eval-mlogloss:0.455786
[469] train-mlogloss:0.193892 eval-mlogloss:0.455761
[470] train-mlogloss:0.193769 eval-mlogloss:0.455735
[471] train-mlogloss:0.193508 eval-mlogloss:0.455709
[472] train-mlogloss:0.193266 eval-mlogloss:0.455658
[473] train-mlogloss:0.193156 eval-mlogloss:0.455616
[474] train-mlogloss:0.192927 eval-mlogloss:0.455607
[475] train-mlogloss:0.192708 eval-mlogloss:0.455634
[476] train-mlogloss:0.192477 eval-mlogloss:0.455562
[477] train-mlogloss:0.192389 eval-mlogloss:0.455546
[478] train-mlogloss:0.192093 eval-mlogloss:0.455451
[479] train-mlogloss:0.191797 eval-mlogloss:0.455470
[480] train-mlogloss:0.191512 eval-mlogloss:0.455418
[481] train-mlogloss:0.191307 eval-mlogloss:0.455363
[482] train-mlogloss:0.191033 eval-mlogloss:0.455357
[483] train-mlogloss:0.190808 eval-mlogloss:0.455269
[484] train-mlogloss:0.190547 eval-mlogloss:0.455259
[485] train-mlogloss:0.190396 eval-mlogloss:0.455221
[486] train-mlogloss:0.190182 eval-mlogloss:0.455201
[487] train-mlogloss:0.189853 eval-mlogloss:0.455136
[488] train-mlogloss:0.189625 eval-mlogloss:0.455164
[489] train-mlogloss:0.189437 eval-mlogloss:0.455140
[490] train-mlogloss:0.189140 eval-mlogloss:0.455067
[491] train-mlogloss:0.188905 eval-mlogloss:0.455029
[492] train-mlogloss:0.188794 eval-mlogloss:0.455026
[493] train-mlogloss:0.188453 eval-mlogloss:0.454958
[494] train-mlogloss:0.188235 eval-mlogloss:0.454920
[495] train-mlogloss:0.188040 eval-mlogloss:0.454928
[496] train-mlogloss:0.187789 eval-mlogloss:0.454892
[497] train-mlogloss:0.187609 eval-mlogloss:0.454874
[498] train-mlogloss:0.187383 eval-mlogloss:0.454846
[499] train-mlogloss:0.187188 eval-mlogloss:0.454826
Training with params :
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.7000000000000001, 'max_depth': 10.0, 'silent': 1, 'subsample': 0.9500000000000001, 'num_class': 9, 'min_child_weight': 4.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
Score 0.45482581334986477
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:1.815709 eval-mlogloss:1.830334
[1] train-mlogloss:1.583796 eval-mlogloss:1.608976
[2] train-mlogloss:1.411073 eval-mlogloss:1.445285
[3] train-mlogloss:1.273646 eval-mlogloss:1.315489
[4] train-mlogloss:1.162207 eval-mlogloss:1.212114
[5] train-mlogloss:1.068211 eval-mlogloss:1.125213
[6] train-mlogloss:0.989877 eval-mlogloss:1.053204
[7] train-mlogloss:0.921431 eval-mlogloss:0.991018
[8] train-mlogloss:0.861357 eval-mlogloss:0.937741
[9] train-mlogloss:0.809256 eval-mlogloss:0.891802
[10] train-mlogloss:0.763579 eval-mlogloss:0.851779
[11] train-mlogloss:0.723253 eval-mlogloss:0.816997
[12] train-mlogloss:0.686467 eval-mlogloss:0.785535
[13] train-mlogloss:0.654103 eval-mlogloss:0.758343
[14] train-mlogloss:0.625567 eval-mlogloss:0.734698
Training with params :
{'eta': 0.15000000000000002, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.9, 'max_depth': 11.0, 'silent': 1, 'subsample': 0.65, 'num_class': 9, 'min_child_weight': 3.0, 'n_estimators': 500, 'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.9}
[15] train-mlogloss:0.599389 eval-mlogloss:0.713576
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
<ipython-input-32-e595d8e41eb1> in <module>()
7 trials = Trials()
8
----> 9 optimize(trials)
<ipython-input-30-bcb5a9b04fa0> in optimize(trials)
67 }
68
---> 69 best = fmin(score, space, algo=tpe.suggest, trials=trials, max_evals=250)
70
71 print (best)
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in fmin(fn, space, algo, max_evals, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin)
304 verbose=verbose,
305 catch_eval_exceptions=catch_eval_exceptions,
--> 306 return_argmin=return_argmin,
307 )
308
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/base.py in fmin(self, fn, space, algo, max_evals, rstate, verbose, pass_expr_memo_ctrl, catch_eval_exceptions, return_argmin)
631 pass_expr_memo_ctrl=pass_expr_memo_ctrl,
632 catch_eval_exceptions=catch_eval_exceptions,
--> 633 return_argmin=return_argmin)
634
635
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in fmin(fn, space, algo, max_evals, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin)
317 verbose=verbose)
318 rval.catch_eval_exceptions = catch_eval_exceptions
--> 319 rval.exhaust()
320 if return_argmin:
321 return trials.argmin
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in exhaust(self)
196 def exhaust(self):
197 n_done = len(self.trials)
--> 198 self.run(self.max_evals - n_done, block_until_done=self.async)
199 self.trials.refresh()
200 return self
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in run(self, N, block_until_done)
170 else:
171 # -- loop over trials and do the jobs directly
--> 172 self.serial_evaluate()
173
174 if stopped:
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/fmin.py in serial_evaluate(self, N)
87 ctrl = base.Ctrl(self.trials, current_trial=trial)
88 try:
---> 89 result = self.domain.evaluate(spec, ctrl)
90 except Exception as e:
91 logger.info('job exception: %s' % str(e))
/home/ubuntu/anaconda3/lib/python3.4/site-packages/hyperopt-0.0.3.dev0-py3.4.egg/hyperopt/base.py in evaluate(self, config, ctrl, attach_attachments)
836 memo=memo,
837 print_node_on_error=self.rec_eval_print_node_on_error)
--> 838 rval = self.fn(pyll_rval)
839
840 if isinstance(rval, (float, int, np.number)):
<ipython-input-30-bcb5a9b04fa0> in score(params)
44 dvalid = xgb.DMatrix(X_test, label=y_test)
45 watchlist = [(dtrain, 'train'),(dvalid, 'eval')]
---> 46 model = xgb.train(params, dtrain, num_round,watchlist,early_stopping_rounds=10)
47 predictions = model.predict(dvalid).reshape((X_test.shape[0], 9))
48 score = log_loss(y_test, predictions)
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/training.py in train(params, dtrain, num_boost_round, evals, obj, feval, early_stopping_rounds, evals_result, verbose_eval)
107
108 for i in range(num_boost_round):
--> 109 bst.update(dtrain, i, obj)
110 bst_eval_set = bst.eval_set(evals, i, feval)
111
/home/ubuntu/anaconda3/lib/python3.4/site-packages/xgboost-0.4-py3.4.egg/xgboost/core.py in update(self, dtrain, iteration, fobj)
521 raise TypeError('invalid training matrix: {}'.format(type(dtrain).__name__))
522 if fobj is None:
--> 523 _check_call(_LIB.XGBoosterUpdateOneIter(self.handle, iteration, dtrain.handle))
524 else:
525 pred = self.predict(dtrain)
KeyboardInterrupt:
In [ ]:
{'eta': 0.05, 'eval_metric': 'mlogloss', 'colsample_bytree': 0.5,
'max_depth': 12.0, 'silent': 1, 'subsample': 0.8500000000000001,
'num_class': 9, 'min_child_weight': 2.0, 'n_estimators': 500,
'objective': 'multi:softprob', 'nthread': 8, 'gamma': 0.7000000000000001}
In [37]:
def score(params):
print ("Training with params : ")
print (params)
num_round = int(params['n_estimators'])
del params['n_estimators']
dtrain = xgb.DMatrix(X_train, label=y_train)
dvalid = xgb.DMatrix(X_test, label=y_test)
watchlist = [(dtrain, 'train'),(dvalid, 'eval')]
model = xgb.train(params, dtrain, num_round,watchlist,early_stopping_rounds=10)
predictions = model.predict(dvalid).reshape((X_test.shape[0], 9))
score = log_loss(y_test, predictions)
print ("\tScore {0}\n\n".format(score))
return {'loss': score, 'status': STATUS_OK}
def optimize(trials):
space = {
'n_estimators' : 1000,
'eta' : 0.05,
'max_depth' : hp.quniform('max_depth', 9, 13, 1),
'min_child_weight' : hp.quniform('min_child_weight', 1, 6, 1),
'subsample' : 0.85,
'gamma' : hp.quniform('gamma', 0.5, 1, 0.05),
'colsample_bytree' : 0.5,
'num_class' : 9,
'eval_metric': 'mlogloss',
'objective': 'multi:softprob',
'nthread' : 8,
'silent' : 1
}
best = fmin(score, space, algo=tpe.suggest, trials=trials, max_evals=250)
print (best)
In [35]:
trials.best_trial
Out[35]:
{'book_time': datetime.datetime(2015, 9, 11, 13, 41, 59, 903000),
'exp_key': None,
'misc': {'cmd': ('domain_attachment', 'FMinIter_Domain'),
'idxs': {'colsample_bytree': [24],
'eta': [24],
'gamma': [24],
'max_depth': [24],
'min_child_weight': [24],
'subsample': [24]},
'tid': 24,
'vals': {'colsample_bytree': [0.5],
'eta': [0.050000000000000003],
'gamma': [0.70000000000000007],
'max_depth': [12.0],
'min_child_weight': [2.0],
'subsample': [0.85000000000000009]},
'workdir': None},
'owner': None,
'refresh_time': datetime.datetime(2015, 9, 11, 13, 44, 6, 917000),
'result': {'loss': 0.4489965501643818, 'status': 'ok'},
'spec': None,
'state': 2,
'tid': 24,
'version': 0}
In [ ]:
trials = Trials()
optimize(trials)
Will train until eval error hasn't decreased in 10 rounds.
[0] train-mlogloss:2.085175 eval-mlogloss:2.090216
[1] train-mlogloss:1.981482 eval-mlogloss:1.991282
[2] train-mlogloss:1.891570 eval-mlogloss:1.905004
[3] train-mlogloss:1.816566 eval-mlogloss:1.834904
[4] train-mlogloss:1.743812 eval-mlogloss:1.767241
[5] train-mlogloss:1.676325 eval-mlogloss:1.703771
[6] train-mlogloss:1.617723 eval-mlogloss:1.649438
[7] train-mlogloss:1.562347 eval-mlogloss:1.598392
[8] train-mlogloss:1.506026 eval-mlogloss:1.545712
[9] train-mlogloss:1.455077 eval-mlogloss:1.497671
[10] train-mlogloss:1.409737 eval-mlogloss:1.455635
[11] train-mlogloss:1.366833 eval-mlogloss:1.415593
[12] train-mlogloss:1.326972 eval-mlogloss:1.378905
[13] train-mlogloss:1.288583 eval-mlogloss:1.343544
[14] train-mlogloss:1.252429 eval-mlogloss:1.310498
[15] train-mlogloss:1.216337 eval-mlogloss:1.277055
[16] train-mlogloss:1.184735 eval-mlogloss:1.247855
[17] train-mlogloss:1.152120 eval-mlogloss:1.218066
[18] train-mlogloss:1.122644 eval-mlogloss:1.191058
[19] train-mlogloss:1.092928 eval-mlogloss:1.164035
[20] train-mlogloss:1.066105 eval-mlogloss:1.140175
[21] train-mlogloss:1.040787 eval-mlogloss:1.117256
[22] train-mlogloss:1.015939 eval-mlogloss:1.094560
[23] train-mlogloss:0.991749 eval-mlogloss:1.073017
[24] train-mlogloss:0.968804 eval-mlogloss:1.052272
[25] train-mlogloss:0.947661 eval-mlogloss:1.033247
[26] train-mlogloss:0.927643 eval-mlogloss:1.015378
[27] train-mlogloss:0.908534 eval-mlogloss:0.998523
[28] train-mlogloss:0.889152 eval-mlogloss:0.980755
[29] train-mlogloss:0.871694 eval-mlogloss:0.965366
[30] train-mlogloss:0.853001 eval-mlogloss:0.948898
[31] train-mlogloss:0.835879 eval-mlogloss:0.933722
[32] train-mlogloss:0.820774 eval-mlogloss:0.920072
[33] train-mlogloss:0.805469 eval-mlogloss:0.906469
[34] train-mlogloss:0.790951 eval-mlogloss:0.893215
[35] train-mlogloss:0.776446 eval-mlogloss:0.880145
[36] train-mlogloss:0.762974 eval-mlogloss:0.868371
[37] train-mlogloss:0.749434 eval-mlogloss:0.856540
[38] train-mlogloss:0.736111 eval-mlogloss:0.844950
[39] train-mlogloss:0.724290 eval-mlogloss:0.834632
[40] train-mlogloss:0.713054 eval-mlogloss:0.824927
[41] train-mlogloss:0.700859 eval-mlogloss:0.814210
[42] train-mlogloss:0.688625 eval-mlogloss:0.803888
[43] train-mlogloss:0.677541 eval-mlogloss:0.794292
[44] train-mlogloss:0.667287 eval-mlogloss:0.785495
[45] train-mlogloss:0.657128 eval-mlogloss:0.776568
[46] train-mlogloss:0.647237 eval-mlogloss:0.767949
[47] train-mlogloss:0.637580 eval-mlogloss:0.759875
[48] train-mlogloss:0.628412 eval-mlogloss:0.752202
[49] train-mlogloss:0.619752 eval-mlogloss:0.744737
[50] train-mlogloss:0.611052 eval-mlogloss:0.737593
[51] train-mlogloss:0.602536 eval-mlogloss:0.730444
[52] train-mlogloss:0.594110 eval-mlogloss:0.723742
[53] train-mlogloss:0.586085 eval-mlogloss:0.717152
[54] train-mlogloss:0.578809 eval-mlogloss:0.711076
[55] train-mlogloss:0.570916 eval-mlogloss:0.704415
[56] train-mlogloss:0.563611 eval-mlogloss:0.698231
[57] train-mlogloss:0.556451 eval-mlogloss:0.692304
[58] train-mlogloss:0.549731 eval-mlogloss:0.686848
[59] train-mlogloss:0.542715 eval-mlogloss:0.681068
[60] train-mlogloss:0.536286 eval-mlogloss:0.676049
[61] train-mlogloss:0.530417 eval-mlogloss:0.671297
[62] train-mlogloss:0.524063 eval-mlogloss:0.665964
[63] train-mlogloss:0.518349 eval-mlogloss:0.661526
[64] train-mlogloss:0.513233 eval-mlogloss:0.657169
[65] train-mlogloss:0.507326 eval-mlogloss:0.652297
[66] train-mlogloss:0.501561 eval-mlogloss:0.647607
[67] train-mlogloss:0.496414 eval-mlogloss:0.643397
[68] train-mlogloss:0.490987 eval-mlogloss:0.639198
[69] train-mlogloss:0.485892 eval-mlogloss:0.635202
[70] train-mlogloss:0.480924 eval-mlogloss:0.631419
[71] train-mlogloss:0.476333 eval-mlogloss:0.627952
[72] train-mlogloss:0.471345 eval-mlogloss:0.624009
[73] train-mlogloss:0.466542 eval-mlogloss:0.620370
[74] train-mlogloss:0.462120 eval-mlogloss:0.616934
[75] train-mlogloss:0.458173 eval-mlogloss:0.613734
[76] train-mlogloss:0.454123 eval-mlogloss:0.610502
[77] train-mlogloss:0.450441 eval-mlogloss:0.607466
[78] train-mlogloss:0.446441 eval-mlogloss:0.604320
[79] train-mlogloss:0.442475 eval-mlogloss:0.601198
[80] train-mlogloss:0.438899 eval-mlogloss:0.598114
[81] train-mlogloss:0.435143 eval-mlogloss:0.595249
[82] train-mlogloss:0.431837 eval-mlogloss:0.592561
[83] train-mlogloss:0.428673 eval-mlogloss:0.589864
[84] train-mlogloss:0.425023 eval-mlogloss:0.587008
[85] train-mlogloss:0.421460 eval-mlogloss:0.584437
[86] train-mlogloss:0.417994 eval-mlogloss:0.581928
[87] train-mlogloss:0.415152 eval-mlogloss:0.579684
[88] train-mlogloss:0.411927 eval-mlogloss:0.577267
[89] train-mlogloss:0.408986 eval-mlogloss:0.574859
[90] train-mlogloss:0.405929 eval-mlogloss:0.572492
[91] train-mlogloss:0.403219 eval-mlogloss:0.570472
[92] train-mlogloss:0.400845 eval-mlogloss:0.568483
[93] train-mlogloss:0.398524 eval-mlogloss:0.566754
[94] train-mlogloss:0.395620 eval-mlogloss:0.564672
[95] train-mlogloss:0.393029 eval-mlogloss:0.562785
[96] train-mlogloss:0.390216 eval-mlogloss:0.560773
[97] train-mlogloss:0.387621 eval-mlogloss:0.558793
[98] train-mlogloss:0.384664 eval-mlogloss:0.556659
[99] train-mlogloss:0.382237 eval-mlogloss:0.554927
[100] train-mlogloss:0.379737 eval-mlogloss:0.553192
[101] train-mlogloss:0.377526 eval-mlogloss:0.551464
[102] train-mlogloss:0.375351 eval-mlogloss:0.549838
[103] train-mlogloss:0.373219 eval-mlogloss:0.548295
[104] train-mlogloss:0.371361 eval-mlogloss:0.546760
[105] train-mlogloss:0.369009 eval-mlogloss:0.545047
[106] train-mlogloss:0.366947 eval-mlogloss:0.543510
[107] train-mlogloss:0.364725 eval-mlogloss:0.541994
[108] train-mlogloss:0.362696 eval-mlogloss:0.540555
[109] train-mlogloss:0.360564 eval-mlogloss:0.538991
[110] train-mlogloss:0.358528 eval-mlogloss:0.537492
[111] train-mlogloss:0.356365 eval-mlogloss:0.535941
[112] train-mlogloss:0.354698 eval-mlogloss:0.534580
[113] train-mlogloss:0.352742 eval-mlogloss:0.533245
[114] train-mlogloss:0.351103 eval-mlogloss:0.532060
[115] train-mlogloss:0.349220 eval-mlogloss:0.530779
[116] train-mlogloss:0.347364 eval-mlogloss:0.529509
[117] train-mlogloss:0.345889 eval-mlogloss:0.528456
[118] train-mlogloss:0.344068 eval-mlogloss:0.527385
[119] train-mlogloss:0.342352 eval-mlogloss:0.526328
[120] train-mlogloss:0.340339 eval-mlogloss:0.525098
[121] train-mlogloss:0.339046 eval-mlogloss:0.524134
[122] train-mlogloss:0.337412 eval-mlogloss:0.522986
[123] train-mlogloss:0.335834 eval-mlogloss:0.521897
[124] train-mlogloss:0.334514 eval-mlogloss:0.520906
[125] train-mlogloss:0.333180 eval-mlogloss:0.520004
[126] train-mlogloss:0.331611 eval-mlogloss:0.519084
[127] train-mlogloss:0.330316 eval-mlogloss:0.518128
[128] train-mlogloss:0.328896 eval-mlogloss:0.517164
[129] train-mlogloss:0.327119 eval-mlogloss:0.516152
[130] train-mlogloss:0.325818 eval-mlogloss:0.515146
[131] train-mlogloss:0.324683 eval-mlogloss:0.514294
[132] train-mlogloss:0.323225 eval-mlogloss:0.513276
[133] train-mlogloss:0.321758 eval-mlogloss:0.512324
[134] train-mlogloss:0.320523 eval-mlogloss:0.511432
[135] train-mlogloss:0.319357 eval-mlogloss:0.510546
[136] train-mlogloss:0.317929 eval-mlogloss:0.509688
[137] train-mlogloss:0.316607 eval-mlogloss:0.508925
[138] train-mlogloss:0.315262 eval-mlogloss:0.508199
[139] train-mlogloss:0.314047 eval-mlogloss:0.507381
[140] train-mlogloss:0.312881 eval-mlogloss:0.506645
[141] train-mlogloss:0.311725 eval-mlogloss:0.505855
[142] train-mlogloss:0.310421 eval-mlogloss:0.505106
[143] train-mlogloss:0.309286 eval-mlogloss:0.504391
[144] train-mlogloss:0.307964 eval-mlogloss:0.503701
[145] train-mlogloss:0.306795 eval-mlogloss:0.502937
[146] train-mlogloss:0.305783 eval-mlogloss:0.502336
[147] train-mlogloss:0.304728 eval-mlogloss:0.501613
[148] train-mlogloss:0.303638 eval-mlogloss:0.500963
[149] train-mlogloss:0.302499 eval-mlogloss:0.500275
[150] train-mlogloss:0.301377 eval-mlogloss:0.499609
[151] train-mlogloss:0.300445 eval-mlogloss:0.498907
[152] train-mlogloss:0.299288 eval-mlogloss:0.498273
[153] train-mlogloss:0.298365 eval-mlogloss:0.497738
[154] train-mlogloss:0.297314 eval-mlogloss:0.497207
[155] train-mlogloss:0.296290 eval-mlogloss:0.496545
[156] train-mlogloss:0.295257 eval-mlogloss:0.496040
[157] train-mlogloss:0.294502 eval-mlogloss:0.495569
[158] train-mlogloss:0.293697 eval-mlogloss:0.495094
[159] train-mlogloss:0.292886 eval-mlogloss:0.494591
[160] train-mlogloss:0.291992 eval-mlogloss:0.494068
[161] train-mlogloss:0.290933 eval-mlogloss:0.493524
[162] train-mlogloss:0.290077 eval-mlogloss:0.492943
[163] train-mlogloss:0.289451 eval-mlogloss:0.492450
[164] train-mlogloss:0.288647 eval-mlogloss:0.491911
[165] train-mlogloss:0.287870 eval-mlogloss:0.491466
[166] train-mlogloss:0.287099 eval-mlogloss:0.491030
[167] train-mlogloss:0.286374 eval-mlogloss:0.490588
[168] train-mlogloss:0.285550 eval-mlogloss:0.490142
[169] train-mlogloss:0.284665 eval-mlogloss:0.489622
[170] train-mlogloss:0.283957 eval-mlogloss:0.489213
[171] train-mlogloss:0.283103 eval-mlogloss:0.488806
[172] train-mlogloss:0.282336 eval-mlogloss:0.488292
[173] train-mlogloss:0.281547 eval-mlogloss:0.487905
[174] train-mlogloss:0.280568 eval-mlogloss:0.487396
[175] train-mlogloss:0.279755 eval-mlogloss:0.486922
[176] train-mlogloss:0.278957 eval-mlogloss:0.486479
[177] train-mlogloss:0.278235 eval-mlogloss:0.486015
[178] train-mlogloss:0.277508 eval-mlogloss:0.485573
[179] train-mlogloss:0.276788 eval-mlogloss:0.485098
[180] train-mlogloss:0.275981 eval-mlogloss:0.484691
[181] train-mlogloss:0.275204 eval-mlogloss:0.484357
[182] train-mlogloss:0.274259 eval-mlogloss:0.483994
[183] train-mlogloss:0.273654 eval-mlogloss:0.483551
[184] train-mlogloss:0.273063 eval-mlogloss:0.483209
[185] train-mlogloss:0.272472 eval-mlogloss:0.482839
[186] train-mlogloss:0.271603 eval-mlogloss:0.482369
[187] train-mlogloss:0.271026 eval-mlogloss:0.481999
[188] train-mlogloss:0.270425 eval-mlogloss:0.481652
[189] train-mlogloss:0.269808 eval-mlogloss:0.481298
[190] train-mlogloss:0.269248 eval-mlogloss:0.481010
[191] train-mlogloss:0.268600 eval-mlogloss:0.480664
[192] train-mlogloss:0.267937 eval-mlogloss:0.480374
[193] train-mlogloss:0.267361 eval-mlogloss:0.480049
[194] train-mlogloss:0.266750 eval-mlogloss:0.479679
[195] train-mlogloss:0.266199 eval-mlogloss:0.479344
[196] train-mlogloss:0.265473 eval-mlogloss:0.478947
[197] train-mlogloss:0.264705 eval-mlogloss:0.478665
[198] train-mlogloss:0.264176 eval-mlogloss:0.478365
[199] train-mlogloss:0.263531 eval-mlogloss:0.478094
[200] train-mlogloss:0.262728 eval-mlogloss:0.477724
[201] train-mlogloss:0.262036 eval-mlogloss:0.477407
[202] train-mlogloss:0.261426 eval-mlogloss:0.477173
[203] train-mlogloss:0.260838 eval-mlogloss:0.476940
[204] train-mlogloss:0.260342 eval-mlogloss:0.476647
[205] train-mlogloss:0.259887 eval-mlogloss:0.476334
[206] train-mlogloss:0.259217 eval-mlogloss:0.476126
[207] train-mlogloss:0.258700 eval-mlogloss:0.475866
[208] train-mlogloss:0.258241 eval-mlogloss:0.475558
[209] train-mlogloss:0.257720 eval-mlogloss:0.475338
[210] train-mlogloss:0.257119 eval-mlogloss:0.475114
[211] train-mlogloss:0.256307 eval-mlogloss:0.474809
[212] train-mlogloss:0.255663 eval-mlogloss:0.474534
[213] train-mlogloss:0.254952 eval-mlogloss:0.474207
[214] train-mlogloss:0.254348 eval-mlogloss:0.473937
[215] train-mlogloss:0.253891 eval-mlogloss:0.473662
[216] train-mlogloss:0.253238 eval-mlogloss:0.473395
[217] train-mlogloss:0.252815 eval-mlogloss:0.473156
[218] train-mlogloss:0.252339 eval-mlogloss:0.472880
[219] train-mlogloss:0.251764 eval-mlogloss:0.472625
[220] train-mlogloss:0.251264 eval-mlogloss:0.472394
[221] train-mlogloss:0.250706 eval-mlogloss:0.472133
[222] train-mlogloss:0.250115 eval-mlogloss:0.471924
[223] train-mlogloss:0.249761 eval-mlogloss:0.471686
[224] train-mlogloss:0.249262 eval-mlogloss:0.471491
[225] train-mlogloss:0.248713 eval-mlogloss:0.471319
[226] train-mlogloss:0.248307 eval-mlogloss:0.471211
[227] train-mlogloss:0.247862 eval-mlogloss:0.471044
[228] train-mlogloss:0.247313 eval-mlogloss:0.470733
[229] train-mlogloss:0.246896 eval-mlogloss:0.470489
[230] train-mlogloss:0.246260 eval-mlogloss:0.470259
[231] train-mlogloss:0.245780 eval-mlogloss:0.470027
[232] train-mlogloss:0.245398 eval-mlogloss:0.469826
[233] train-mlogloss:0.244779 eval-mlogloss:0.469568
[234] train-mlogloss:0.244276 eval-mlogloss:0.469275
[235] train-mlogloss:0.243785 eval-mlogloss:0.469044
[236] train-mlogloss:0.243346 eval-mlogloss:0.468813
[237] train-mlogloss:0.242895 eval-mlogloss:0.468596
[238] train-mlogloss:0.242415 eval-mlogloss:0.468406
[239] train-mlogloss:0.242045 eval-mlogloss:0.468237
[240] train-mlogloss:0.241729 eval-mlogloss:0.468064
[241] train-mlogloss:0.241363 eval-mlogloss:0.467894
[242] train-mlogloss:0.241046 eval-mlogloss:0.467682
[243] train-mlogloss:0.240718 eval-mlogloss:0.467522
[244] train-mlogloss:0.240372 eval-mlogloss:0.467361
[245] train-mlogloss:0.239828 eval-mlogloss:0.467106
[246] train-mlogloss:0.239396 eval-mlogloss:0.466890
[247] train-mlogloss:0.238795 eval-mlogloss:0.466675
[248] train-mlogloss:0.238424 eval-mlogloss:0.466471
[249] train-mlogloss:0.238132 eval-mlogloss:0.466324
[250] train-mlogloss:0.237752 eval-mlogloss:0.466178
[251] train-mlogloss:0.237277 eval-mlogloss:0.466014
[252] train-mlogloss:0.236787 eval-mlogloss:0.465852
[253] train-mlogloss:0.236321 eval-mlogloss:0.465702
[254] train-mlogloss:0.235855 eval-mlogloss:0.465534
[255] train-mlogloss:0.235566 eval-mlogloss:0.465460
[256] train-mlogloss:0.235025 eval-mlogloss:0.465350
[257] train-mlogloss:0.234737 eval-mlogloss:0.465236
[258] train-mlogloss:0.234281 eval-mlogloss:0.465044
[259] train-mlogloss:0.233853 eval-mlogloss:0.464891
[260] train-mlogloss:0.233551 eval-mlogloss:0.464770
[261] train-mlogloss:0.233142 eval-mlogloss:0.464604
[262] train-mlogloss:0.232600 eval-mlogloss:0.464483
[263] train-mlogloss:0.232218 eval-mlogloss:0.464321
[264] train-mlogloss:0.231844 eval-mlogloss:0.464181
[265] train-mlogloss:0.231332 eval-mlogloss:0.464065
[266] train-mlogloss:0.230968 eval-mlogloss:0.463886
[267] train-mlogloss:0.230713 eval-mlogloss:0.463814
[268] train-mlogloss:0.230421 eval-mlogloss:0.463657
[269] train-mlogloss:0.229988 eval-mlogloss:0.463463
[270] train-mlogloss:0.229516 eval-mlogloss:0.463267
[271] train-mlogloss:0.229149 eval-mlogloss:0.463137
[272] train-mlogloss:0.228813 eval-mlogloss:0.462997
[273] train-mlogloss:0.228448 eval-mlogloss:0.462834
[274] train-mlogloss:0.228038 eval-mlogloss:0.462699
[275] train-mlogloss:0.227711 eval-mlogloss:0.462564
[276] train-mlogloss:0.227358 eval-mlogloss:0.462429
[277] train-mlogloss:0.226927 eval-mlogloss:0.462297
[278] train-mlogloss:0.226657 eval-mlogloss:0.462211
[279] train-mlogloss:0.226301 eval-mlogloss:0.462029
[280] train-mlogloss:0.226029 eval-mlogloss:0.461919
[281] train-mlogloss:0.225600 eval-mlogloss:0.461784
[282] train-mlogloss:0.225258 eval-mlogloss:0.461654
[283] train-mlogloss:0.224879 eval-mlogloss:0.461504
[284] train-mlogloss:0.224474 eval-mlogloss:0.461364
[285] train-mlogloss:0.224154 eval-mlogloss:0.461250
[286] train-mlogloss:0.223649 eval-mlogloss:0.461164
[287] train-mlogloss:0.223302 eval-mlogloss:0.461008
[288] train-mlogloss:0.222897 eval-mlogloss:0.460912
[289] train-mlogloss:0.222520 eval-mlogloss:0.460725
[290] train-mlogloss:0.222139 eval-mlogloss:0.460595
[291] train-mlogloss:0.221764 eval-mlogloss:0.460471
[292] train-mlogloss:0.221403 eval-mlogloss:0.460337
[293] train-mlogloss:0.221086 eval-mlogloss:0.460200
[294] train-mlogloss:0.220831 eval-mlogloss:0.460101
[295] train-mlogloss:0.220350 eval-mlogloss:0.459973
[296] train-mlogloss:0.219836 eval-mlogloss:0.459831
[297] train-mlogloss:0.219464 eval-mlogloss:0.459639
[298] train-mlogloss:0.219092 eval-mlogloss:0.459537
[299] train-mlogloss:0.218857 eval-mlogloss:0.459453
[300] train-mlogloss:0.218449 eval-mlogloss:0.459342
[301] train-mlogloss:0.218055 eval-mlogloss:0.459172
[302] train-mlogloss:0.217809 eval-mlogloss:0.459069
[303] train-mlogloss:0.217507 eval-mlogloss:0.458991
[304] train-mlogloss:0.217032 eval-mlogloss:0.458865
In [ ]:
Content source: duthchao/kaggle-Otto
Similar notebooks: