In [31]:
%load_ext autoreload
%autoreload 2
%matplotlib inline
The autoreload extension is already loaded. To reload it, use:
%reload_ext autoreload
In [32]:
import time, h5py
import xgboost as xgb
import lightgbm as lgb
import category_encoders as cat_ed
import gc, mlcrate, shap
from fastai.imports import *
from fastai.structured import *
from gplearn.genetic import SymbolicTransformer
from pandas_summary import DataFrameSummary
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
from IPython.display import display
from catboost import CatBoostClassifier
from collections import Counter
from scipy.cluster import hierarchy as hc
from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.metrics import roc_auc_score, log_loss
from sklearn.model_selection import KFold, StratifiedKFold
from sklearn.preprocessing import LabelEncoder
from collections import Counter
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Reshape
from keras.layers import Merge
from keras.layers.embeddings import Embedding
from keras.callbacks import ModelCheckpoint
# will ignore all warning from sklearn, seaborn etc..
def ignore_warn(*args, **kwargs):
pass
warnings.warn = ignore_warn
pd.option_context("display.max_rows", 1000);
pd.option_context("display.max_columns", 250);
In [3]:
PATH = os.getcwd();
PATH
Out[3]:
'D:\\Github\\fastai\\courses\\ml1'
In [4]:
df_raw = pd.read_csv(f'{PATH}\\AV_Stud\\models\\train_140618.csv', low_memory= False)
df_test = pd.read_csv(f'{PATH}\\AV_Stud\\models\\test_140618.csv', low_memory=False)
In [5]:
target = df_raw.is_pass.values
df_raw.drop(['is_pass'],axis=1, inplace=True)
features = df_raw.columns
numeric_features = []
categorical_features = []
for dtype, feature in zip(df_raw.dtypes, df_raw.columns):
if dtype == object:
categorical_features.append(feature)
else:
numeric_features.append(feature)
categorical_features;
X_train_cats = df_raw[categorical_features]
X_test_cats = df_test[categorical_features]
In [6]:
X_train_dnn = X_train_cats.values
X_test_dnn = X_test_cats.values
idx = X_train_cats.shape[0]; idx
Out[6]:
73147
In [7]:
data = pd.concat([X_train_cats, X_test_cats], axis = 0)
data.shape, idx
Out[7]:
((104496, 14), 73147)
In [8]:
features_idx = [i for i in range(14)];
features_idx
Out[8]:
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
In [9]:
les = []
for i in range(X_train_dnn.shape[1]):
le = LabelEncoder()
le.fit(data.iloc[:,features_idx].iloc[:, i])
les.append(le)
X_train_dnn[:, i] = le.transform(X_train_dnn[:, i])
X_test_dnn[:, i] = le.transform(X_test_dnn[:, i])
In [10]:
def split_features(X):
X_list = []
C1 = X[..., [0]]
X_list.append(C1)
program_type = X[..., [1]]
X_list.append(program_type)
test_type = X[..., [2]]
X_list.append(test_type)
difficulty_level = X[..., [3]]
X_list.append(difficulty_level)
gender = X[..., [4]]
X_list.append(gender)
education = X[..., [5]]
X_list.append(education)
is_handicapped = X[..., [6]]
X_list.append(is_handicapped)
program_type__program_duration = X[..., [7]]
X_list.append(program_type__program_duration)
test_id__program_duration = X[..., [8]]
X_list.append(test_id__program_duration)
test_id__test_type = X[..., [9]]
X_list.append(test_id__test_type)
test_type__difficulty_level = X[..., [10]]
X_list.append(test_type__difficulty_level)
education__gender = X[..., [11]]
X_list.append(education__gender)
C14 = X[..., [12]]#education__city_tier
X_list.append(C14)
C15 = X[..., [13]]#gender__city_tier
X_list.append(C15)
return X_list
In [11]:
for i in X_train_cats.columns:
print(i, len(np.unique(df_raw[i].values)))
program_id 22
program_type 7
test_type 2
difficulty_level 4
gender 2
education 5
is_handicapped 2
program_type__program_duration 22
test_id__program_duration 188
test_id__test_type 188
test_type__difficulty_level 5
education__gender 10
education__city_tier 19
gender__city_tier 8
In [12]:
X_train, X_validation, y_train, y_validation = train_test_split(X_train_dnn, target, train_size=0.8, random_state=1234)
In [16]:
class NN_with_EntityEmbedding(object):
def __init__(self, X_train, y_train, X_val, y_val):
self.nb_epoch = 10
self.__build_keras_model()
self.fit(X_train, y_train, X_val, y_val)
def preprocessing(self, X):
X_list = split_features(X)
return X_list
def __build_keras_model(self):
'''
program_id 22
program_type 7
test_type 2
difficulty_level 4
gender 2
education 5
is_handicapped 2
program_type__program_duration 22
test_id__program_duration 188
test_id__test_type 188
test_type__difficulty_level 5
education__gender 10
education__city_tier 19
gender__city_tier 8
'''
models = []
model_C1= Sequential() #program_id
model_C1.add(Embedding(len(les[0].classes_), 22, input_length=1))
model_C1.add(Reshape(target_shape=(22,)))
models.append(model_C1)
model_program_type = Sequential()
model_program_type.add(Embedding(len(les[1].classes_), 7, input_length=1))
model_program_type.add(Reshape(target_shape=(7,)))
models.append(model_program_type)
model_test_type = Sequential()
model_test_type.add(Embedding(len(les[2].classes_), 3, input_length=1))
model_test_type.add(Reshape(target_shape=(3,)))
models.append(model_test_type)
difficulty_level = Sequential()
difficulty_level.add(Embedding(len(les[3].classes_), 5, input_length=1))
difficulty_level.add(Reshape(target_shape=(5,)))
models.append(difficulty_level)
gender = Sequential()
gender.add(Embedding(len(les[4].classes_), 3, input_length=1))
gender.add(Reshape(target_shape=(3,)))
models.append(gender)
education = Sequential()
education.add(Embedding(len(les[5].classes_), 6, input_length=1))
education.add(Reshape(target_shape=(6,)))
models.append(education)
is_handicapped = Sequential()
is_handicapped.add(Embedding(len(les[6].classes_), 3, input_length=1))
is_handicapped.add(Reshape(target_shape=(3,)))
models.append(is_handicapped)
program_type__program_duration = Sequential()
program_type__program_duration.add(Embedding(len(les[7].classes_), 23, input_length=1))
program_type__program_duration.add(Reshape(target_shape=(23,)))
models.append(program_type__program_duration)
test_id__program_duration = Sequential()
test_id__program_duration.add(Embedding(len(les[8].classes_), 30, input_length=1))
test_id__program_duration.add(Reshape(target_shape=(30,)))
models.append(test_id__program_duration)
test_id__test_type = Sequential()
test_id__test_type.add(Embedding(len(les[9].classes_), 30, input_length=1))
test_id__test_type.add(Reshape(target_shape=(30,)))
models.append(test_id__test_type)
test_type__difficulty_level = Sequential()
test_type__difficulty_level.add(Embedding(len(les[10].classes_), 6, input_length=1))
test_type__difficulty_level.add(Reshape(target_shape=(6,)))
models.append(test_type__difficulty_level)
education__gender = Sequential()
education__gender.add(Embedding(len(les[11].classes_), 10, input_length=1))
education__gender.add(Reshape(target_shape=(10,)))
models.append(education__gender)
C14 = Sequential()#education__city_tier'
C14.add(Embedding(len(les[12].classes_), 20, input_length=1))
C14.add(Reshape(target_shape=(20,)))
models.append(C14)
C15 = Sequential()#gender__city_tier
C15.add(Embedding(len(les[13].classes_), 9, input_length=1))
C15.add(Reshape(target_shape=(9,)))
models.append(C15)
self.model = Sequential()
self.model.add(Merge(models, mode='concat'))
self.model.add(Dense(128, kernel_initializer='uniform'))
self.model.add(Activation('relu'))
self.model.add(Dense(256, kernel_initializer='uniform'))
self.model.add(Activation('relu'))
self.model.add(Dense(64, kernel_initializer='uniform'))
self.model.add(Activation('relu'))
self.model.add(Dense(1))
self.model.add(Activation('sigmoid'))
self.model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['acc'])
def fit(self, X_train, y_train, X_val, y_val):
self.model.fit(self.preprocessing(X_train), y_train,validation_data=(self.preprocessing(X_val), y_val),\
epochs=self.nb_epoch, batch_size=64)
In [17]:
#X_train, X_validation, y_train, y_validation
dnn = NN_with_EntityEmbedding(X_train, y_train, X_validation, y_validation)
weights = dnn.model.get_weights()
Train on 58517 samples, validate on 14630 samples
Epoch 1/10
52096/58517 [=========================>....] - ETA: 633s - loss: 0.6933 - acc: 0.421 - ETA: 137s - loss: 0.6906 - acc: 0.621 - ETA: 81s - loss: 0.6841 - acc: 0.651 - ETA: 59s - loss: 0.6743 - acc: 0.67 - ETA: 48s - loss: 0.6595 - acc: 0.67 - ETA: 41s - loss: 0.6587 - acc: 0.67 - ETA: 36s - loss: 0.6403 - acc: 0.68 - ETA: 33s - loss: 0.6359 - acc: 0.68 - ETA: 30s - loss: 0.6288 - acc: 0.68 - ETA: 28s - loss: 0.6195 - acc: 0.69 - ETA: 26s - loss: 0.6208 - acc: 0.68 - ETA: 25s - loss: 0.6192 - acc: 0.69 - ETA: 23s - loss: 0.6163 - acc: 0.69 - ETA: 22s - loss: 0.6155 - acc: 0.68 - ETA: 21s - loss: 0.6128 - acc: 0.69 - ETA: 20s - loss: 0.6099 - acc: 0.69 - ETA: 20s - loss: 0.6105 - acc: 0.69 - ETA: 19s - loss: 0.6067 - acc: 0.69 - ETA: 19s - loss: 0.6058 - acc: 0.69 - ETA: 18s - loss: 0.6052 - acc: 0.69 - ETA: 18s - loss: 0.6021 - acc: 0.69 - ETA: 17s - loss: 0.6030 - acc: 0.69 - ETA: 17s - loss: 0.6023 - acc: 0.69 - ETA: 17s - loss: 0.6036 - acc: 0.68 - ETA: 16s - loss: 0.6036 - acc: 0.68 - 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acc: 0.701 - ETA: 1s - loss: 0.5707 - acc: 0.701 - ETA: 1s - loss: 0.5706 - acc: 0.701558517/58517 [==============================] - ETA: 1s - loss: 0.5707 - acc: 0.701 - ETA: 1s - loss: 0.5704 - acc: 0.701 - ETA: 1s - loss: 0.5703 - acc: 0.701 - ETA: 1s - loss: 0.5702 - acc: 0.701 - ETA: 1s - loss: 0.5703 - acc: 0.701 - ETA: 1s - loss: 0.5704 - acc: 0.701 - ETA: 1s - loss: 0.5705 - acc: 0.701 - ETA: 1s - loss: 0.5703 - acc: 0.701 - ETA: 1s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5701 - acc: 0.702 - ETA: 0s - loss: 0.5700 - acc: 0.702 - ETA: 0s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5703 - acc: 0.701 - ETA: 0s - loss: 0.5704 - acc: 0.701 - ETA: 0s - loss: 0.5704 - acc: 0.702 - ETA: 0s - loss: 0.5704 - acc: 0.702 - ETA: 0s - loss: 0.5704 - acc: 0.702 - ETA: 0s - loss: 0.5702 - acc: 0.702 - ETA: 0s - loss: 0.5701 - acc: 0.702 - ETA: 0s - loss: 0.5702 - acc: 0.702 - ETA: 0s - loss: 0.5701 - acc: 0.702 - ETA: 0s - loss: 0.5701 - acc: 0.702 - ETA: 0s - loss: 0.5699 - acc: 0.702 - 15s - loss: 0.5699 - acc: 0.7025 - val_loss: 0.5633 - val_acc: 0.7102
Epoch 2/10
50496/58517 [========================>.....] - ETA: 14s - loss: 0.6210 - acc: 0.64 - ETA: 13s - loss: 0.5645 - acc: 0.71 - ETA: 14s - loss: 0.5589 - acc: 0.72 - ETA: 14s - loss: 0.5600 - acc: 0.71 - ETA: 14s - loss: 0.5598 - acc: 0.71 - ETA: 14s - loss: 0.5631 - acc: 0.71 - ETA: 14s - loss: 0.5637 - acc: 0.71 - ETA: 14s - loss: 0.5628 - acc: 0.71 - ETA: 14s - loss: 0.5645 - acc: 0.71 - ETA: 14s - loss: 0.5713 - acc: 0.70 - ETA: 14s - loss: 0.5734 - acc: 0.70 - ETA: 13s - loss: 0.5705 - acc: 0.70 - ETA: 13s - loss: 0.5737 - acc: 0.70 - ETA: 13s - loss: 0.5720 - acc: 0.70 - ETA: 13s - loss: 0.5669 - acc: 0.71 - ETA: 13s - loss: 0.5668 - acc: 0.71 - ETA: 13s - loss: 0.5658 - acc: 0.71 - ETA: 13s - loss: 0.5656 - acc: 0.71 - ETA: 13s - loss: 0.5656 - acc: 0.71 - ETA: 13s - loss: 0.5653 - acc: 0.70 - ETA: 13s - loss: 0.5649 - acc: 0.71 - ETA: 13s - loss: 0.5630 - acc: 0.71 - ETA: 13s - loss: 0.5630 - acc: 0.71 - ETA: 13s - loss: 0.5632 - acc: 0.70 - ETA: 13s - loss: 0.5630 - acc: 0.71 - ETA: 13s - loss: 0.5628 - acc: 0.71 - ETA: 12s - loss: 0.5621 - acc: 0.71 - ETA: 12s - loss: 0.5629 - acc: 0.71 - ETA: 12s - loss: 0.5637 - acc: 0.70 - ETA: 12s - loss: 0.5641 - acc: 0.70 - ETA: 12s - loss: 0.5628 - acc: 0.71 - ETA: 12s - loss: 0.5630 - acc: 0.70 - ETA: 12s - loss: 0.5639 - acc: 0.70 - ETA: 12s - loss: 0.5641 - acc: 0.70 - ETA: 12s - loss: 0.5639 - acc: 0.70 - ETA: 12s - loss: 0.5644 - acc: 0.70 - ETA: 12s - loss: 0.5644 - acc: 0.70 - ETA: 12s - loss: 0.5640 - acc: 0.70 - ETA: 12s - loss: 0.5646 - acc: 0.70 - ETA: 12s - loss: 0.5651 - acc: 0.70 - ETA: 12s - loss: 0.5650 - acc: 0.70 - ETA: 12s - loss: 0.5656 - acc: 0.70 - ETA: 11s - loss: 0.5665 - acc: 0.70 - ETA: 11s - loss: 0.5659 - acc: 0.70 - ETA: 11s - loss: 0.5651 - acc: 0.70 - ETA: 11s - loss: 0.5646 - acc: 0.70 - ETA: 11s - loss: 0.5646 - acc: 0.70 - ETA: 11s - loss: 0.5649 - acc: 0.70 - ETA: 11s - loss: 0.5647 - acc: 0.70 - ETA: 11s - loss: 0.5653 - acc: 0.70 - ETA: 11s - loss: 0.5645 - acc: 0.70 - ETA: 11s - loss: 0.5641 - acc: 0.70 - ETA: 11s - loss: 0.5650 - acc: 0.70 - ETA: 11s - loss: 0.5647 - acc: 0.70 - ETA: 11s - loss: 0.5655 - acc: 0.70 - ETA: 11s - loss: 0.5655 - acc: 0.70 - ETA: 11s - loss: 0.5658 - acc: 0.70 - ETA: 11s - loss: 0.5664 - acc: 0.70 - ETA: 11s - loss: 0.5665 - acc: 0.70 - ETA: 10s - loss: 0.5668 - acc: 0.70 - ETA: 10s - loss: 0.5675 - acc: 0.70 - ETA: 10s - loss: 0.5675 - acc: 0.70 - ETA: 10s - loss: 0.5675 - acc: 0.70 - ETA: 10s - loss: 0.5675 - acc: 0.70 - ETA: 10s - loss: 0.5667 - acc: 0.70 - ETA: 10s - loss: 0.5664 - acc: 0.70 - ETA: 10s - loss: 0.5669 - acc: 0.70 - ETA: 10s - loss: 0.5661 - acc: 0.70 - ETA: 10s - loss: 0.5658 - acc: 0.70 - ETA: 10s - loss: 0.5660 - acc: 0.70 - ETA: 10s - loss: 0.5670 - acc: 0.70 - ETA: 10s - loss: 0.5672 - acc: 0.70 - ETA: 10s - loss: 0.5670 - acc: 0.70 - ETA: 10s - loss: 0.5669 - acc: 0.70 - ETA: 9s - loss: 0.5675 - acc: 0.7037 - ETA: 9s - loss: 0.5673 - acc: 0.703 - ETA: 9s - loss: 0.5676 - acc: 0.703 - ETA: 9s - loss: 0.5678 - acc: 0.703 - 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acc: 0.706 - ETA: 5s - loss: 0.5633 - acc: 0.707 - ETA: 5s - loss: 0.5633 - acc: 0.707 - ETA: 5s - loss: 0.5634 - acc: 0.707 - ETA: 5s - loss: 0.5634 - acc: 0.707 - ETA: 5s - loss: 0.5633 - acc: 0.707 - ETA: 4s - loss: 0.5631 - acc: 0.707 - ETA: 4s - loss: 0.5634 - acc: 0.707 - ETA: 4s - loss: 0.5634 - acc: 0.707 - ETA: 4s - loss: 0.5632 - acc: 0.707 - ETA: 4s - loss: 0.5633 - acc: 0.707 - ETA: 4s - loss: 0.5631 - acc: 0.707 - ETA: 4s - loss: 0.5629 - acc: 0.707 - ETA: 4s - loss: 0.5628 - acc: 0.707 - ETA: 4s - loss: 0.5629 - acc: 0.707 - ETA: 4s - loss: 0.5629 - acc: 0.707 - ETA: 4s - loss: 0.5629 - acc: 0.707 - ETA: 4s - loss: 0.5628 - acc: 0.707 - ETA: 4s - loss: 0.5628 - acc: 0.707 - ETA: 4s - loss: 0.5626 - acc: 0.707 - ETA: 4s - loss: 0.5623 - acc: 0.708 - ETA: 4s - loss: 0.5620 - acc: 0.708 - ETA: 4s - loss: 0.5619 - acc: 0.708 - ETA: 3s - loss: 0.5617 - acc: 0.708 - ETA: 3s - loss: 0.5617 - acc: 0.708 - ETA: 3s - loss: 0.5615 - acc: 0.708 - ETA: 3s - loss: 0.5615 - acc: 0.708 - 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acc: 0.708 - ETA: 2s - loss: 0.5613 - acc: 0.709 - ETA: 2s - loss: 0.5612 - acc: 0.708 - ETA: 2s - loss: 0.5612 - acc: 0.709 - ETA: 1s - loss: 0.5612 - acc: 0.708958517/58517 [==============================] - ETA: 1s - loss: 0.5613 - acc: 0.708 - ETA: 1s - loss: 0.5615 - acc: 0.708 - ETA: 1s - loss: 0.5615 - acc: 0.708 - ETA: 1s - loss: 0.5615 - acc: 0.708 - ETA: 1s - loss: 0.5617 - acc: 0.708 - ETA: 1s - loss: 0.5618 - acc: 0.708 - ETA: 1s - loss: 0.5617 - acc: 0.708 - ETA: 1s - loss: 0.5616 - acc: 0.708 - ETA: 1s - loss: 0.5617 - acc: 0.708 - ETA: 1s - loss: 0.5616 - acc: 0.708 - ETA: 1s - loss: 0.5616 - acc: 0.708 - ETA: 1s - loss: 0.5618 - acc: 0.708 - ETA: 1s - loss: 0.5617 - acc: 0.708 - ETA: 1s - loss: 0.5616 - acc: 0.708 - ETA: 1s - loss: 0.5614 - acc: 0.708 - ETA: 1s - loss: 0.5614 - acc: 0.708 - ETA: 0s - loss: 0.5611 - acc: 0.709 - ETA: 0s - loss: 0.5612 - acc: 0.708 - ETA: 0s - loss: 0.5612 - acc: 0.709 - ETA: 0s - loss: 0.5611 - acc: 0.709 - ETA: 0s - loss: 0.5613 - acc: 0.708 - 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Epoch 3/10
44992/58517 [======================>.......] - ETA: 29s - loss: 0.5593 - acc: 0.67 - ETA: 16s - loss: 0.5969 - acc: 0.67 - ETA: 15s - loss: 0.5875 - acc: 0.68 - ETA: 14s - loss: 0.5723 - acc: 0.70 - ETA: 14s - loss: 0.5630 - acc: 0.70 - ETA: 14s - loss: 0.5661 - acc: 0.70 - ETA: 13s - loss: 0.5651 - acc: 0.70 - ETA: 13s - loss: 0.5685 - acc: 0.70 - ETA: 13s - loss: 0.5717 - acc: 0.70 - ETA: 13s - loss: 0.5713 - acc: 0.69 - ETA: 13s - loss: 0.5719 - acc: 0.69 - ETA: 13s - loss: 0.5724 - acc: 0.69 - ETA: 13s - loss: 0.5740 - acc: 0.69 - ETA: 13s - loss: 0.5758 - acc: 0.69 - ETA: 13s - loss: 0.5727 - acc: 0.69 - ETA: 13s - loss: 0.5736 - acc: 0.69 - ETA: 13s - loss: 0.5735 - acc: 0.69 - ETA: 13s - loss: 0.5710 - acc: 0.69 - ETA: 12s - loss: 0.5716 - acc: 0.69 - ETA: 12s - loss: 0.5719 - acc: 0.69 - ETA: 12s - loss: 0.5714 - acc: 0.69 - ETA: 12s - loss: 0.5722 - acc: 0.69 - ETA: 12s - loss: 0.5706 - acc: 0.70 - ETA: 12s - loss: 0.5704 - acc: 0.70 - ETA: 12s - loss: 0.5715 - acc: 0.70 - ETA: 12s - 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acc: 0.713 - ETA: 3s - loss: 0.5597 - acc: 0.713 - ETA: 3s - loss: 0.5595 - acc: 0.713 - ETA: 3s - loss: 0.5595 - acc: 0.713 - ETA: 3s - loss: 0.5598 - acc: 0.713458517/58517 [==============================] - ETA: 3s - loss: 0.5597 - acc: 0.713 - ETA: 3s - loss: 0.5597 - acc: 0.713 - ETA: 3s - loss: 0.5599 - acc: 0.713 - ETA: 3s - loss: 0.5598 - acc: 0.713 - ETA: 3s - loss: 0.5598 - acc: 0.713 - ETA: 3s - loss: 0.5596 - acc: 0.713 - ETA: 3s - loss: 0.5595 - acc: 0.713 - ETA: 3s - loss: 0.5593 - acc: 0.713 - ETA: 3s - loss: 0.5592 - acc: 0.713 - ETA: 3s - loss: 0.5593 - acc: 0.713 - ETA: 3s - loss: 0.5590 - acc: 0.714 - ETA: 3s - loss: 0.5591 - acc: 0.713 - ETA: 2s - loss: 0.5593 - acc: 0.713 - ETA: 2s - loss: 0.5595 - acc: 0.713 - ETA: 2s - loss: 0.5595 - acc: 0.713 - ETA: 2s - loss: 0.5596 - acc: 0.713 - ETA: 2s - loss: 0.5596 - acc: 0.713 - ETA: 2s - loss: 0.5597 - acc: 0.713 - ETA: 2s - loss: 0.5597 - acc: 0.713 - ETA: 2s - loss: 0.5596 - acc: 0.713 - ETA: 2s - loss: 0.5598 - acc: 0.712 - 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Epoch 4/10
51840/58517 [=========================>....] - ETA: 14s - loss: 0.5921 - acc: 0.65 - ETA: 13s - loss: 0.5616 - acc: 0.70 - ETA: 13s - loss: 0.5732 - acc: 0.67 - ETA: 13s - loss: 0.5590 - acc: 0.69 - ETA: 13s - loss: 0.5532 - acc: 0.70 - ETA: 13s - loss: 0.5546 - acc: 0.70 - ETA: 13s - loss: 0.5505 - acc: 0.71 - ETA: 13s - loss: 0.5491 - acc: 0.71 - ETA: 13s - loss: 0.5423 - acc: 0.71 - ETA: 13s - loss: 0.5465 - acc: 0.71 - ETA: 13s - loss: 0.5430 - acc: 0.72 - ETA: 13s - loss: 0.5457 - acc: 0.72 - ETA: 13s - loss: 0.5450 - acc: 0.72 - ETA: 13s - loss: 0.5488 - acc: 0.71 - ETA: 12s - loss: 0.5515 - acc: 0.71 - ETA: 12s - loss: 0.5526 - acc: 0.71 - ETA: 13s - loss: 0.5525 - acc: 0.71 - ETA: 12s - loss: 0.5523 - acc: 0.71 - ETA: 12s - loss: 0.5513 - acc: 0.71 - ETA: 12s - loss: 0.5510 - acc: 0.71 - ETA: 12s - loss: 0.5520 - acc: 0.71 - ETA: 12s - loss: 0.5549 - acc: 0.71 - ETA: 12s - loss: 0.5550 - acc: 0.71 - ETA: 12s - loss: 0.5563 - acc: 0.71 - ETA: 12s - loss: 0.5558 - acc: 0.71 - ETA: 12s - 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acc: 0.710 - ETA: 1s - loss: 0.5595 - acc: 0.710 - ETA: 1s - loss: 0.5592 - acc: 0.711 - ETA: 1s - loss: 0.5590 - acc: 0.711 - ETA: 1s - loss: 0.5590 - acc: 0.711358517/58517 [==============================] - ETA: 1s - loss: 0.5589 - acc: 0.711 - ETA: 1s - loss: 0.5589 - acc: 0.711 - ETA: 1s - loss: 0.5589 - acc: 0.711 - ETA: 1s - loss: 0.5588 - acc: 0.711 - ETA: 1s - loss: 0.5588 - acc: 0.711 - ETA: 1s - loss: 0.5588 - acc: 0.711 - ETA: 1s - loss: 0.5587 - acc: 0.711 - ETA: 1s - loss: 0.5586 - acc: 0.711 - ETA: 1s - loss: 0.5586 - acc: 0.711 - ETA: 1s - loss: 0.5587 - acc: 0.711 - ETA: 1s - loss: 0.5585 - acc: 0.711 - ETA: 0s - loss: 0.5586 - acc: 0.711 - ETA: 0s - loss: 0.5585 - acc: 0.711 - ETA: 0s - loss: 0.5584 - acc: 0.711 - ETA: 0s - loss: 0.5583 - acc: 0.712 - ETA: 0s - loss: 0.5585 - acc: 0.711 - ETA: 0s - loss: 0.5586 - acc: 0.711 - ETA: 0s - loss: 0.5587 - acc: 0.711 - ETA: 0s - loss: 0.5586 - acc: 0.711 - ETA: 0s - loss: 0.5586 - acc: 0.711 - ETA: 0s - loss: 0.5585 - acc: 0.711 - ETA: 0s - loss: 0.5585 - acc: 0.711 - ETA: 0s - loss: 0.5587 - acc: 0.711 - ETA: 0s - loss: 0.5587 - acc: 0.711 - ETA: 0s - loss: 0.5588 - acc: 0.711 - ETA: 0s - loss: 0.5587 - acc: 0.711 - ETA: 0s - loss: 0.5589 - acc: 0.711 - ETA: 0s - loss: 0.5589 - acc: 0.711 - ETA: 0s - loss: 0.5587 - acc: 0.711 - 15s - loss: 0.5586 - acc: 0.7119 - val_loss: 0.5624 - val_acc: 0.7103
Epoch 5/10
48256/58517 [=======================>......] - ETA: 21s - loss: 0.5749 - acc: 0.67 - ETA: 15s - loss: 0.5600 - acc: 0.70 - ETA: 15s - loss: 0.5795 - acc: 0.69 - ETA: 15s - loss: 0.5666 - acc: 0.70 - ETA: 14s - loss: 0.5615 - acc: 0.70 - ETA: 16s - loss: 0.5584 - acc: 0.70 - ETA: 16s - loss: 0.5624 - acc: 0.70 - ETA: 17s - loss: 0.5604 - acc: 0.70 - ETA: 18s - loss: 0.5588 - acc: 0.70 - ETA: 17s - loss: 0.5553 - acc: 0.71 - ETA: 17s - loss: 0.5532 - acc: 0.71 - ETA: 16s - loss: 0.5514 - acc: 0.71 - ETA: 16s - loss: 0.5515 - acc: 0.71 - ETA: 16s - loss: 0.5550 - acc: 0.71 - ETA: 16s - loss: 0.5534 - acc: 0.71 - ETA: 15s - loss: 0.5523 - acc: 0.71 - ETA: 15s - loss: 0.5520 - acc: 0.71 - ETA: 15s - loss: 0.5550 - acc: 0.71 - ETA: 16s - loss: 0.5555 - acc: 0.71 - ETA: 16s - loss: 0.5546 - acc: 0.71 - ETA: 15s - loss: 0.5551 - acc: 0.71 - ETA: 15s - loss: 0.5562 - acc: 0.71 - ETA: 15s - loss: 0.5564 - acc: 0.71 - ETA: 14s - loss: 0.5578 - acc: 0.71 - ETA: 14s - loss: 0.5593 - acc: 0.70 - ETA: 14s - loss: 0.5581 - acc: 0.70 - ETA: 14s - loss: 0.5580 - acc: 0.70 - ETA: 14s - loss: 0.5580 - acc: 0.70 - ETA: 14s - loss: 0.5601 - acc: 0.70 - ETA: 13s - loss: 0.5600 - acc: 0.70 - ETA: 13s - loss: 0.5600 - acc: 0.70 - ETA: 13s - loss: 0.5600 - acc: 0.70 - ETA: 13s - loss: 0.5619 - acc: 0.70 - ETA: 13s - loss: 0.5623 - acc: 0.70 - ETA: 13s - loss: 0.5624 - acc: 0.70 - ETA: 13s - loss: 0.5636 - acc: 0.70 - ETA: 13s - loss: 0.5634 - acc: 0.70 - ETA: 13s - loss: 0.5636 - acc: 0.70 - ETA: 12s - loss: 0.5625 - acc: 0.70 - ETA: 12s - loss: 0.5627 - acc: 0.70 - ETA: 12s - loss: 0.5615 - acc: 0.70 - ETA: 12s - loss: 0.5616 - acc: 0.70 - ETA: 12s - loss: 0.5637 - acc: 0.70 - ETA: 12s - loss: 0.5629 - acc: 0.70 - ETA: 12s - loss: 0.5634 - acc: 0.70 - ETA: 12s - loss: 0.5632 - acc: 0.70 - ETA: 12s - loss: 0.5625 - acc: 0.70 - ETA: 12s - loss: 0.5622 - acc: 0.70 - ETA: 12s - loss: 0.5628 - acc: 0.70 - ETA: 12s - loss: 0.5635 - acc: 0.70 - ETA: 12s - loss: 0.5623 - acc: 0.70 - ETA: 12s - loss: 0.5617 - acc: 0.70 - ETA: 12s - loss: 0.5622 - acc: 0.70 - ETA: 12s - loss: 0.5630 - acc: 0.70 - ETA: 11s - loss: 0.5625 - acc: 0.70 - ETA: 11s - loss: 0.5623 - acc: 0.70 - ETA: 11s - loss: 0.5618 - acc: 0.70 - ETA: 11s - loss: 0.5614 - acc: 0.70 - ETA: 11s - loss: 0.5612 - acc: 0.70 - ETA: 11s - loss: 0.5602 - acc: 0.70 - ETA: 11s - loss: 0.5604 - acc: 0.70 - ETA: 11s - loss: 0.5613 - acc: 0.70 - ETA: 11s - loss: 0.5617 - acc: 0.70 - ETA: 11s - loss: 0.5617 - acc: 0.70 - ETA: 11s - loss: 0.5613 - acc: 0.70 - ETA: 11s - loss: 0.5623 - acc: 0.70 - ETA: 11s - loss: 0.5622 - acc: 0.70 - ETA: 11s - loss: 0.5617 - acc: 0.70 - ETA: 11s - loss: 0.5609 - acc: 0.70 - ETA: 10s - loss: 0.5603 - acc: 0.70 - ETA: 10s - loss: 0.5595 - acc: 0.70 - ETA: 10s - loss: 0.5593 - acc: 0.70 - ETA: 10s - loss: 0.5595 - acc: 0.70 - ETA: 10s - loss: 0.5588 - acc: 0.70 - ETA: 10s - loss: 0.5589 - acc: 0.70 - ETA: 10s - loss: 0.5585 - acc: 0.70 - ETA: 10s - loss: 0.5587 - acc: 0.70 - ETA: 10s - loss: 0.5580 - acc: 0.70 - 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acc: 0.709 - ETA: 8s - loss: 0.5586 - acc: 0.709 - ETA: 8s - loss: 0.5587 - acc: 0.709 - ETA: 8s - loss: 0.5587 - acc: 0.708 - ETA: 8s - loss: 0.5588 - acc: 0.709 - ETA: 8s - loss: 0.5591 - acc: 0.708 - ETA: 8s - loss: 0.5590 - acc: 0.709 - ETA: 8s - loss: 0.5588 - acc: 0.709 - ETA: 8s - loss: 0.5583 - acc: 0.710 - ETA: 8s - loss: 0.5580 - acc: 0.710 - ETA: 8s - loss: 0.5581 - acc: 0.710 - ETA: 8s - loss: 0.5588 - acc: 0.710 - ETA: 8s - loss: 0.5590 - acc: 0.710 - ETA: 8s - loss: 0.5590 - acc: 0.710 - ETA: 8s - loss: 0.5591 - acc: 0.710 - ETA: 8s - loss: 0.5590 - acc: 0.710 - ETA: 7s - loss: 0.5594 - acc: 0.710 - ETA: 7s - loss: 0.5591 - acc: 0.710 - ETA: 7s - loss: 0.5591 - acc: 0.710 - ETA: 7s - loss: 0.5591 - acc: 0.710 - ETA: 7s - loss: 0.5590 - acc: 0.710 - ETA: 7s - loss: 0.5595 - acc: 0.710 - ETA: 7s - loss: 0.5592 - acc: 0.710 - ETA: 7s - loss: 0.5593 - acc: 0.710 - ETA: 7s - loss: 0.5588 - acc: 0.710 - ETA: 7s - loss: 0.5582 - acc: 0.711 - ETA: 7s - loss: 0.5582 - acc: 0.711 - 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acc: 0.711 - ETA: 5s - loss: 0.5574 - acc: 0.711 - ETA: 5s - loss: 0.5575 - acc: 0.711 - ETA: 5s - loss: 0.5579 - acc: 0.711 - ETA: 5s - loss: 0.5581 - acc: 0.711 - ETA: 5s - loss: 0.5579 - acc: 0.711 - ETA: 5s - loss: 0.5577 - acc: 0.711 - ETA: 5s - loss: 0.5578 - acc: 0.711 - ETA: 5s - loss: 0.5577 - acc: 0.711 - ETA: 5s - loss: 0.5579 - acc: 0.711 - ETA: 5s - loss: 0.5578 - acc: 0.711 - ETA: 5s - loss: 0.5579 - acc: 0.710 - ETA: 5s - loss: 0.5582 - acc: 0.710 - ETA: 5s - loss: 0.5582 - acc: 0.710 - ETA: 5s - loss: 0.5585 - acc: 0.710 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 4s - loss: 0.5583 - acc: 0.711 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 4s - loss: 0.5587 - acc: 0.710 - ETA: 4s - loss: 0.5585 - acc: 0.710 - ETA: 4s - loss: 0.5585 - acc: 0.710 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 4s - loss: 0.5581 - acc: 0.710 - ETA: 4s - loss: 0.5579 - acc: 0.711 - ETA: 4s - loss: 0.5580 - acc: 0.711 - ETA: 4s - loss: 0.5582 - acc: 0.710 - ETA: 4s - loss: 0.5583 - acc: 0.710 - ETA: 4s - loss: 0.5583 - acc: 0.710 - ETA: 4s - loss: 0.5583 - acc: 0.710 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 4s - loss: 0.5582 - acc: 0.710 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 4s - loss: 0.5584 - acc: 0.710 - ETA: 3s - loss: 0.5588 - acc: 0.710 - ETA: 3s - loss: 0.5587 - acc: 0.710 - ETA: 3s - loss: 0.5585 - acc: 0.710 - ETA: 3s - loss: 0.5583 - acc: 0.710 - ETA: 3s - loss: 0.5583 - acc: 0.710 - ETA: 3s - loss: 0.5583 - acc: 0.710 - ETA: 3s - loss: 0.5588 - acc: 0.709 - ETA: 3s - loss: 0.5589 - acc: 0.709 - ETA: 3s - loss: 0.5589 - acc: 0.709 - ETA: 3s - loss: 0.5591 - acc: 0.709 - ETA: 3s - loss: 0.5590 - acc: 0.709 - ETA: 3s - loss: 0.5589 - acc: 0.709 - ETA: 3s - loss: 0.5588 - acc: 0.709 - ETA: 3s - loss: 0.5590 - acc: 0.709 - ETA: 3s - loss: 0.5592 - acc: 0.709 - ETA: 3s - loss: 0.5589 - acc: 0.709 - ETA: 3s - loss: 0.5591 - acc: 0.709 - ETA: 3s - loss: 0.5590 - acc: 0.709 - ETA: 2s - loss: 0.5589 - acc: 0.709 - ETA: 2s - loss: 0.5590 - acc: 0.709 - ETA: 2s - loss: 0.5591 - acc: 0.709 - ETA: 2s - loss: 0.5592 - acc: 0.709 - ETA: 2s - loss: 0.5594 - acc: 0.709 - ETA: 2s - loss: 0.5594 - acc: 0.709 - ETA: 2s - loss: 0.5594 - acc: 0.709858517/58517 [==============================] - ETA: 2s - loss: 0.5594 - acc: 0.709 - ETA: 2s - loss: 0.5594 - acc: 0.709 - ETA: 2s - loss: 0.5593 - acc: 0.709 - ETA: 2s - loss: 0.5592 - acc: 0.710 - ETA: 2s - loss: 0.5594 - acc: 0.709 - ETA: 2s - loss: 0.5593 - acc: 0.709 - ETA: 2s - loss: 0.5593 - acc: 0.709 - ETA: 2s - loss: 0.5593 - acc: 0.709 - ETA: 2s - loss: 0.5592 - acc: 0.709 - ETA: 2s - loss: 0.5592 - acc: 0.709 - ETA: 1s - loss: 0.5591 - acc: 0.710 - ETA: 1s - loss: 0.5589 - acc: 0.710 - ETA: 1s - loss: 0.5590 - acc: 0.709 - ETA: 1s - loss: 0.5590 - acc: 0.710 - ETA: 1s - loss: 0.5588 - acc: 0.710 - ETA: 1s - loss: 0.5588 - acc: 0.710 - ETA: 1s - loss: 0.5587 - acc: 0.710 - ETA: 1s - loss: 0.5587 - acc: 0.710 - ETA: 1s - loss: 0.5587 - acc: 0.710 - ETA: 1s - loss: 0.5586 - acc: 0.710 - ETA: 1s - loss: 0.5590 - acc: 0.710 - 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Epoch 6/10
50112/58517 [========================>.....] - ETA: 14s - loss: 0.5883 - acc: 0.68 - ETA: 14s - loss: 0.5561 - acc: 0.69 - ETA: 14s - loss: 0.5408 - acc: 0.71 - ETA: 14s - loss: 0.5458 - acc: 0.72 - ETA: 13s - loss: 0.5536 - acc: 0.71 - ETA: 13s - loss: 0.5640 - acc: 0.71 - ETA: 13s - loss: 0.5641 - acc: 0.71 - ETA: 13s - loss: 0.5669 - acc: 0.70 - ETA: 13s - loss: 0.5644 - acc: 0.71 - ETA: 13s - loss: 0.5641 - acc: 0.71 - ETA: 13s - loss: 0.5643 - acc: 0.71 - ETA: 13s - loss: 0.5641 - acc: 0.70 - ETA: 13s - loss: 0.5640 - acc: 0.70 - ETA: 13s - loss: 0.5624 - acc: 0.71 - ETA: 12s - loss: 0.5595 - acc: 0.71 - ETA: 12s - loss: 0.5611 - acc: 0.71 - ETA: 12s - loss: 0.5610 - acc: 0.71 - ETA: 12s - loss: 0.5607 - acc: 0.70 - ETA: 12s - loss: 0.5598 - acc: 0.70 - ETA: 12s - loss: 0.5576 - acc: 0.71 - ETA: 12s - loss: 0.5569 - acc: 0.71 - ETA: 12s - loss: 0.5571 - acc: 0.71 - ETA: 12s - loss: 0.5575 - acc: 0.71 - ETA: 12s - loss: 0.5562 - acc: 0.71 - ETA: 12s - loss: 0.5566 - acc: 0.71 - ETA: 12s - 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Epoch 7/10
52160/58517 [=========================>....] - ETA: 21s - loss: 0.7074 - acc: 0.59 - ETA: 16s - loss: 0.5556 - acc: 0.70 - ETA: 15s - loss: 0.5433 - acc: 0.70 - ETA: 15s - loss: 0.5491 - acc: 0.70 - ETA: 14s - loss: 0.5644 - acc: 0.70 - ETA: 14s - loss: 0.5634 - acc: 0.69 - ETA: 14s - loss: 0.5617 - acc: 0.70 - ETA: 14s - loss: 0.5545 - acc: 0.70 - ETA: 14s - loss: 0.5547 - acc: 0.70 - ETA: 15s - loss: 0.5502 - acc: 0.71 - ETA: 15s - loss: 0.5477 - acc: 0.71 - ETA: 15s - loss: 0.5470 - acc: 0.71 - ETA: 14s - loss: 0.5459 - acc: 0.72 - ETA: 14s - loss: 0.5513 - acc: 0.71 - ETA: 14s - loss: 0.5552 - acc: 0.71 - ETA: 14s - loss: 0.5533 - acc: 0.71 - ETA: 14s - loss: 0.5545 - acc: 0.71 - ETA: 14s - loss: 0.5522 - acc: 0.71 - ETA: 14s - loss: 0.5512 - acc: 0.71 - ETA: 13s - loss: 0.5534 - acc: 0.71 - ETA: 13s - loss: 0.5528 - acc: 0.71 - ETA: 13s - loss: 0.5522 - acc: 0.71 - ETA: 13s - loss: 0.5539 - acc: 0.71 - ETA: 13s - loss: 0.5524 - acc: 0.71 - ETA: 13s - loss: 0.5539 - acc: 0.71 - ETA: 13s - loss: 0.5522 - acc: 0.71 - ETA: 13s - loss: 0.5526 - acc: 0.71 - ETA: 13s - loss: 0.5540 - acc: 0.71 - ETA: 12s - loss: 0.5532 - acc: 0.71 - ETA: 12s - loss: 0.5527 - acc: 0.71 - ETA: 12s - loss: 0.5534 - acc: 0.71 - ETA: 12s - loss: 0.5550 - acc: 0.71 - ETA: 12s - loss: 0.5550 - acc: 0.71 - ETA: 12s - loss: 0.5560 - acc: 0.71 - ETA: 12s - loss: 0.5557 - acc: 0.71 - ETA: 12s - loss: 0.5554 - acc: 0.71 - ETA: 12s - loss: 0.5551 - acc: 0.71 - ETA: 12s - loss: 0.5559 - acc: 0.71 - ETA: 12s - loss: 0.5557 - acc: 0.71 - ETA: 11s - loss: 0.5550 - acc: 0.71 - ETA: 11s - loss: 0.5551 - acc: 0.71 - ETA: 11s - loss: 0.5546 - acc: 0.71 - ETA: 11s - loss: 0.5547 - acc: 0.71 - ETA: 11s - loss: 0.5548 - acc: 0.71 - ETA: 11s - loss: 0.5549 - acc: 0.71 - ETA: 11s - loss: 0.5551 - acc: 0.71 - ETA: 11s - loss: 0.5553 - acc: 0.71 - ETA: 11s - loss: 0.5552 - acc: 0.71 - ETA: 11s - loss: 0.5557 - acc: 0.71 - ETA: 11s - loss: 0.5551 - acc: 0.71 - ETA: 11s - loss: 0.5548 - acc: 0.71 - ETA: 11s - loss: 0.5544 - acc: 0.71 - ETA: 10s - loss: 0.5538 - acc: 0.71 - ETA: 10s - loss: 0.5533 - acc: 0.71 - ETA: 10s - loss: 0.5526 - acc: 0.71 - ETA: 10s - loss: 0.5543 - acc: 0.71 - ETA: 10s - loss: 0.5549 - acc: 0.71 - ETA: 10s - loss: 0.5540 - acc: 0.71 - ETA: 10s - loss: 0.5544 - acc: 0.71 - ETA: 10s - loss: 0.5554 - acc: 0.71 - ETA: 10s - loss: 0.5553 - acc: 0.71 - ETA: 10s - loss: 0.5553 - acc: 0.71 - ETA: 10s - loss: 0.5552 - acc: 0.71 - ETA: 10s - loss: 0.5542 - acc: 0.71 - ETA: 10s - loss: 0.5542 - acc: 0.71 - ETA: 10s - loss: 0.5535 - acc: 0.71 - ETA: 10s - loss: 0.5533 - acc: 0.71 - ETA: 10s - loss: 0.5538 - acc: 0.71 - ETA: 10s - loss: 0.5532 - acc: 0.71 - ETA: 10s - loss: 0.5534 - acc: 0.71 - ETA: 9s - loss: 0.5534 - acc: 0.7166 - ETA: 9s - loss: 0.5529 - acc: 0.716 - ETA: 9s - loss: 0.5534 - acc: 0.716 - ETA: 9s - loss: 0.5531 - acc: 0.716 - ETA: 9s - loss: 0.5526 - acc: 0.716 - ETA: 9s - loss: 0.5525 - acc: 0.716 - ETA: 9s - loss: 0.5529 - acc: 0.716 - ETA: 9s - loss: 0.5527 - acc: 0.716 - 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acc: 0.712 - ETA: 1s - loss: 0.5575 - acc: 0.712 - ETA: 1s - loss: 0.5574 - acc: 0.712 - ETA: 1s - loss: 0.5573 - acc: 0.712 - ETA: 1s - loss: 0.5572 - acc: 0.712358517/58517 [==============================] - ETA: 1s - loss: 0.5570 - acc: 0.712 - ETA: 1s - loss: 0.5566 - acc: 0.712 - ETA: 1s - loss: 0.5566 - acc: 0.712 - ETA: 1s - loss: 0.5567 - acc: 0.712 - ETA: 1s - loss: 0.5566 - acc: 0.712 - ETA: 1s - loss: 0.5564 - acc: 0.713 - ETA: 1s - loss: 0.5565 - acc: 0.712 - ETA: 1s - loss: 0.5562 - acc: 0.713 - ETA: 1s - loss: 0.5563 - acc: 0.713 - ETA: 0s - loss: 0.5563 - acc: 0.713 - ETA: 0s - loss: 0.5561 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5559 - acc: 0.713 - ETA: 0s - loss: 0.5561 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5559 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5561 - acc: 0.713 - ETA: 0s - loss: 0.5561 - acc: 0.713 - ETA: 0s - loss: 0.5561 - acc: 0.713 - ETA: 0s - loss: 0.5560 - acc: 0.713 - ETA: 0s - loss: 0.5562 - acc: 0.713 - 14s - loss: 0.5562 - acc: 0.7134 - val_loss: 0.5624 - val_acc: 0.7107
Epoch 8/10
51712/58517 [=========================>....] - ETA: 14s - loss: 0.5322 - acc: 0.70 - ETA: 15s - loss: 0.5429 - acc: 0.71 - ETA: 13s - loss: 0.5621 - acc: 0.70 - ETA: 14s - loss: 0.5578 - acc: 0.70 - ETA: 14s - loss: 0.5553 - acc: 0.71 - ETA: 13s - loss: 0.5540 - acc: 0.71 - ETA: 14s - loss: 0.5486 - acc: 0.71 - ETA: 13s - loss: 0.5503 - acc: 0.71 - ETA: 13s - loss: 0.5540 - acc: 0.71 - ETA: 13s - loss: 0.5574 - acc: 0.70 - ETA: 13s - loss: 0.5542 - acc: 0.71 - ETA: 13s - loss: 0.5523 - acc: 0.71 - ETA: 13s - loss: 0.5542 - acc: 0.71 - ETA: 13s - loss: 0.5539 - acc: 0.71 - ETA: 13s - loss: 0.5576 - acc: 0.70 - ETA: 13s - loss: 0.5586 - acc: 0.70 - ETA: 13s - loss: 0.5581 - acc: 0.71 - ETA: 12s - loss: 0.5568 - acc: 0.71 - ETA: 13s - loss: 0.5571 - acc: 0.71 - ETA: 13s - loss: 0.5558 - acc: 0.71 - ETA: 12s - loss: 0.5557 - acc: 0.71 - ETA: 12s - loss: 0.5564 - acc: 0.70 - ETA: 12s - loss: 0.5550 - acc: 0.71 - ETA: 12s - loss: 0.5558 - acc: 0.71 - ETA: 12s - loss: 0.5543 - acc: 0.71 - ETA: 12s - loss: 0.5536 - acc: 0.71 - ETA: 12s - loss: 0.5537 - acc: 0.71 - ETA: 12s - loss: 0.5531 - acc: 0.71 - ETA: 12s - loss: 0.5528 - acc: 0.71 - ETA: 12s - loss: 0.5536 - acc: 0.71 - ETA: 12s - loss: 0.5528 - acc: 0.71 - ETA: 11s - loss: 0.5540 - acc: 0.71 - ETA: 11s - loss: 0.5536 - acc: 0.71 - ETA: 11s - loss: 0.5533 - acc: 0.71 - ETA: 11s - loss: 0.5527 - acc: 0.71 - ETA: 11s - loss: 0.5535 - acc: 0.71 - ETA: 11s - loss: 0.5545 - acc: 0.71 - ETA: 11s - loss: 0.5538 - acc: 0.71 - ETA: 11s - loss: 0.5543 - acc: 0.71 - ETA: 11s - loss: 0.5537 - acc: 0.71 - ETA: 11s - loss: 0.5535 - acc: 0.71 - ETA: 11s - loss: 0.5540 - acc: 0.71 - ETA: 11s - loss: 0.5542 - acc: 0.71 - ETA: 11s - loss: 0.5544 - acc: 0.71 - ETA: 11s - loss: 0.5544 - acc: 0.71 - ETA: 11s - loss: 0.5541 - acc: 0.71 - ETA: 11s - loss: 0.5546 - acc: 0.71 - ETA: 11s - loss: 0.5532 - acc: 0.71 - ETA: 11s - loss: 0.5538 - acc: 0.71 - ETA: 11s - loss: 0.5530 - acc: 0.71 - ETA: 10s - loss: 0.5520 - acc: 0.71 - ETA: 10s - loss: 0.5512 - acc: 0.72 - ETA: 10s - loss: 0.5512 - acc: 0.72 - ETA: 10s - loss: 0.5509 - acc: 0.72 - ETA: 10s - loss: 0.5512 - acc: 0.72 - ETA: 10s - loss: 0.5513 - acc: 0.71 - ETA: 10s - loss: 0.5511 - acc: 0.71 - ETA: 10s - loss: 0.5506 - acc: 0.71 - ETA: 10s - loss: 0.5509 - acc: 0.71 - ETA: 10s - loss: 0.5507 - acc: 0.71 - ETA: 10s - loss: 0.5498 - acc: 0.72 - ETA: 10s - loss: 0.5507 - acc: 0.72 - ETA: 10s - loss: 0.5502 - acc: 0.72 - ETA: 10s - loss: 0.5497 - acc: 0.72 - ETA: 10s - loss: 0.5504 - acc: 0.72 - ETA: 10s - loss: 0.5509 - acc: 0.71 - ETA: 10s - loss: 0.5507 - acc: 0.72 - ETA: 9s - loss: 0.5506 - acc: 0.7203 - ETA: 9s - loss: 0.5510 - acc: 0.720 - ETA: 9s - loss: 0.5509 - acc: 0.720 - ETA: 9s - loss: 0.5508 - acc: 0.720 - ETA: 9s - loss: 0.5512 - acc: 0.719 - ETA: 9s - loss: 0.5514 - acc: 0.719 - ETA: 9s - loss: 0.5510 - acc: 0.719 - ETA: 9s - loss: 0.5519 - acc: 0.719 - ETA: 9s - loss: 0.5522 - acc: 0.718 - ETA: 9s - loss: 0.5520 - acc: 0.718 - ETA: 9s - loss: 0.5523 - acc: 0.718 - 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acc: 0.715 - ETA: 1s - loss: 0.5549 - acc: 0.715 - ETA: 1s - loss: 0.5548 - acc: 0.715 - ETA: 1s - loss: 0.5547 - acc: 0.715 - ETA: 1s - loss: 0.5548 - acc: 0.715258517/58517 [==============================] - ETA: 1s - loss: 0.5545 - acc: 0.715 - ETA: 1s - loss: 0.5549 - acc: 0.715 - ETA: 1s - loss: 0.5549 - acc: 0.714 - ETA: 1s - loss: 0.5551 - acc: 0.714 - ETA: 1s - loss: 0.5549 - acc: 0.714 - ETA: 1s - loss: 0.5550 - acc: 0.714 - ETA: 1s - loss: 0.5549 - acc: 0.715 - ETA: 1s - loss: 0.5550 - acc: 0.714 - ETA: 1s - loss: 0.5551 - acc: 0.714 - ETA: 1s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5552 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5552 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5552 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5555 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5553 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - ETA: 0s - loss: 0.5554 - acc: 0.714 - 15s - loss: 0.5553 - acc: 0.7147 - val_loss: 0.5620 - val_acc: 0.7107
Epoch 9/10
47872/58517 [=======================>......] - ETA: 14s - loss: 0.5436 - acc: 0.71 - ETA: 14s - loss: 0.5489 - acc: 0.72 - ETA: 14s - loss: 0.5692 - acc: 0.70 - ETA: 15s - loss: 0.5731 - acc: 0.71 - ETA: 15s - loss: 0.5608 - acc: 0.71 - ETA: 14s - loss: 0.5527 - acc: 0.72 - ETA: 14s - loss: 0.5497 - acc: 0.72 - ETA: 14s - loss: 0.5457 - acc: 0.72 - ETA: 14s - loss: 0.5498 - acc: 0.72 - ETA: 13s - loss: 0.5524 - acc: 0.72 - ETA: 13s - loss: 0.5499 - acc: 0.71 - ETA: 13s - loss: 0.5540 - acc: 0.71 - ETA: 13s - loss: 0.5555 - acc: 0.71 - ETA: 13s - loss: 0.5549 - acc: 0.71 - ETA: 13s - loss: 0.5552 - acc: 0.71 - ETA: 13s - loss: 0.5549 - acc: 0.71 - ETA: 13s - loss: 0.5546 - acc: 0.71 - ETA: 13s - loss: 0.5547 - acc: 0.71 - ETA: 13s - loss: 0.5551 - acc: 0.71 - ETA: 13s - loss: 0.5548 - acc: 0.71 - ETA: 13s - loss: 0.5537 - acc: 0.71 - ETA: 13s - loss: 0.5551 - acc: 0.71 - ETA: 13s - loss: 0.5534 - acc: 0.71 - ETA: 12s - loss: 0.5523 - acc: 0.71 - ETA: 12s - loss: 0.5528 - acc: 0.71 - ETA: 12s - 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acc: 0.715 - ETA: 2s - loss: 0.5539 - acc: 0.714 - ETA: 2s - loss: 0.5540 - acc: 0.714 - ETA: 2s - loss: 0.5540 - acc: 0.714 - ETA: 2s - loss: 0.5538 - acc: 0.715058517/58517 [==============================] - ETA: 2s - loss: 0.5534 - acc: 0.715 - ETA: 2s - loss: 0.5533 - acc: 0.715 - ETA: 2s - loss: 0.5531 - acc: 0.715 - ETA: 2s - loss: 0.5533 - acc: 0.715 - ETA: 2s - loss: 0.5534 - acc: 0.715 - ETA: 2s - loss: 0.5535 - acc: 0.715 - ETA: 2s - loss: 0.5537 - acc: 0.715 - ETA: 2s - loss: 0.5537 - acc: 0.714 - ETA: 2s - loss: 0.5538 - acc: 0.714 - ETA: 2s - loss: 0.5539 - acc: 0.714 - ETA: 2s - loss: 0.5538 - acc: 0.714 - ETA: 2s - loss: 0.5540 - acc: 0.714 - ETA: 2s - loss: 0.5540 - acc: 0.714 - ETA: 1s - loss: 0.5542 - acc: 0.714 - ETA: 1s - loss: 0.5542 - acc: 0.714 - ETA: 1s - loss: 0.5540 - acc: 0.714 - ETA: 1s - loss: 0.5539 - acc: 0.714 - ETA: 1s - loss: 0.5538 - acc: 0.714 - ETA: 1s - loss: 0.5539 - acc: 0.714 - ETA: 1s - loss: 0.5541 - acc: 0.714 - ETA: 1s - loss: 0.5538 - acc: 0.714 - 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val_acc: 0.7089
Epoch 10/10
49280/58517 [========================>.....] - ETA: 18s - loss: 0.5748 - acc: 0.68 - ETA: 14s - loss: 0.5465 - acc: 0.70 - ETA: 13s - loss: 0.5194 - acc: 0.73 - ETA: 14s - loss: 0.5256 - acc: 0.73 - ETA: 13s - loss: 0.5501 - acc: 0.71 - ETA: 13s - loss: 0.5517 - acc: 0.71 - ETA: 13s - loss: 0.5554 - acc: 0.71 - ETA: 13s - loss: 0.5573 - acc: 0.71 - ETA: 13s - loss: 0.5520 - acc: 0.71 - ETA: 13s - loss: 0.5486 - acc: 0.71 - ETA: 13s - loss: 0.5464 - acc: 0.71 - ETA: 13s - loss: 0.5463 - acc: 0.71 - ETA: 13s - loss: 0.5475 - acc: 0.71 - ETA: 13s - loss: 0.5542 - acc: 0.71 - ETA: 13s - loss: 0.5519 - acc: 0.71 - ETA: 13s - loss: 0.5496 - acc: 0.71 - ETA: 13s - loss: 0.5520 - acc: 0.71 - ETA: 13s - loss: 0.5528 - acc: 0.71 - ETA: 12s - loss: 0.5524 - acc: 0.71 - ETA: 12s - loss: 0.5522 - acc: 0.71 - ETA: 12s - loss: 0.5526 - acc: 0.71 - ETA: 12s - loss: 0.5512 - acc: 0.71 - ETA: 12s - loss: 0.5523 - acc: 0.71 - ETA: 12s - loss: 0.5526 - acc: 0.71 - ETA: 12s - loss: 0.5514 - acc: 0.71 - ETA: 12s - 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acc: 0.714 - ETA: 2s - loss: 0.5547 - acc: 0.714 - ETA: 2s - loss: 0.5544 - acc: 0.715 - ETA: 2s - loss: 0.5542 - acc: 0.715 - ETA: 2s - loss: 0.5543 - acc: 0.715058517/58517 [==============================] - ETA: 2s - loss: 0.5542 - acc: 0.715 - ETA: 2s - loss: 0.5540 - acc: 0.715 - ETA: 2s - loss: 0.5540 - acc: 0.715 - ETA: 2s - loss: 0.5540 - acc: 0.715 - ETA: 2s - loss: 0.5540 - acc: 0.715 - ETA: 1s - loss: 0.5542 - acc: 0.715 - ETA: 1s - loss: 0.5541 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 1s - loss: 0.5538 - acc: 0.715 - ETA: 1s - loss: 0.5538 - acc: 0.715 - ETA: 1s - loss: 0.5535 - acc: 0.715 - ETA: 1s - loss: 0.5536 - acc: 0.715 - ETA: 1s - loss: 0.5540 - acc: 0.715 - ETA: 1s - loss: 0.5538 - acc: 0.715 - ETA: 1s - loss: 0.5538 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 1s - loss: 0.5537 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 1s - loss: 0.5540 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 1s - loss: 0.5539 - acc: 0.715 - ETA: 0s - loss: 0.5540 - acc: 0.715 - ETA: 0s - loss: 0.5537 - acc: 0.715 - ETA: 0s - loss: 0.5538 - acc: 0.715 - ETA: 0s - loss: 0.5536 - acc: 0.715 - ETA: 0s - loss: 0.5535 - acc: 0.715 - ETA: 0s - loss: 0.5534 - acc: 0.715 - ETA: 0s - loss: 0.5531 - acc: 0.716 - ETA: 0s - loss: 0.5530 - acc: 0.716 - ETA: 0s - loss: 0.5530 - acc: 0.716 - ETA: 0s - loss: 0.5530 - acc: 0.716 - ETA: 0s - loss: 0.5531 - acc: 0.716 - ETA: 0s - loss: 0.5532 - acc: 0.716 - ETA: 0s - loss: 0.5532 - acc: 0.716 - ETA: 0s - loss: 0.5533 - acc: 0.716 - ETA: 0s - loss: 0.5532 - acc: 0.716 - ETA: 0s - loss: 0.5533 - acc: 0.716 - ETA: 0s - loss: 0.5535 - acc: 0.716 - 15s - loss: 0.5535 - acc: 0.7161 - val_loss: 0.5645 - val_acc: 0.7106
In [18]:
n = 0
for i in range(0,28,2):
n+=(weights[i][0].shape)[1]
In [19]:
x_dnn_train = np.random.random((len(X_train_dnn),n))
start_ind=0
for j in range(X_train_dnn.shape[1]):
mat = weights[j*2][0]
dim = mat.shape[1]
for i in range(X_train_dnn.shape[0]):
x_dnn_train[i,start_ind:start_ind+dim]=mat[X_train_dnn[i,j]]
start_ind += dim
In [20]:
x_dnn_test = np.random.random((len(X_test_dnn),n))
start_ind=0
for j in range(X_test_dnn.shape[1]):
mat = weights[j*2][0]
dim = mat.shape[1]
for i in range(x_dnn_test.shape[0]):
x_dnn_test[i,start_ind:start_ind+dim]=mat[X_test_dnn[i,j]]
start_ind += dim
In [21]:
from sklearn.linear_model import LogisticRegression
l = LogisticRegression(n_jobs = -1)
r = RandomForestClassifier(n_estimators=100, max_depth= 10, n_jobs=-1)
In [22]:
l.fit(x_dnn_train,target)
y_pred_lr = l.predict_proba(x_dnn_test)[:,1]
In [23]:
y_pred_lr.shape
Out[23]:
(31349,)
In [24]:
r.fit(x_dnn_train,target)
y_pred_rf = r.predict_proba(x_dnn_test)[:,1]
In [25]:
def make_submission(probs):
sample = pd.read_csv(f'{PATH}\\AV_Stud\\sample_submission_vaSxamm.csv')
submit = sample.copy()
submit['is_pass'] = probs
return submit
In [26]:
submit = make_submission(y_pred_rf)
In [27]:
submit.to_csv(f'{PATH}\\AV_Stud\\rf_cat_embedding.csv', index=False)
In [28]:
params = {}
params['booster'] = 'gbtree'
#params['updater'] = 'coord_descent'
params["objective"] = "binary:logistic"
params['eval_metric'] = 'auc'
params["eta"] = 0.05 #0.03
params["subsample"] = .90 #.85 was tried before
params["silent"] = 0
params['verbose'] = 1
params["max_depth"] = 11
params["seed"] = 1
params["max_delta_step"] = 4
params['scale_pos_weight'] = 0.4380049934141978
params["gamma"] = 0.6 #.5 #.1 #.2
params['colsample_bytree'] = 0.9
params['nrounds'] = 2000 #3600 #2000 #4000 #using lower no for demo
#params['verbose_eval'] = 50
In [29]:
x_train_final_dnn = np.hstack((x_dnn_train, df_raw[numeric_features].values))
x_test_final_dnn = np.hstack((x_dnn_test, df_test[numeric_features].values))
In [33]:
model_xgb, p_train_xgb, p_test_xgb= mlcrate.xgb.train_kfold(params, x_train_final_dnn, target,x_test_final_dnn\
, folds = 7, stratify=target, print_imp='final')
[mlcrate] Training 7 stratified XGBoost models on training set (73147, 210) with test set (31349, 210)
[mlcrate] Running fold 0, 62697 train samples, 10450 validation samples
[0] train-auc:0.801348 valid-auc:0.704596
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.82629 valid-auc:0.718576
[2] train-auc:0.83605 valid-auc:0.722714
[3] train-auc:0.842477 valid-auc:0.726288
[4] train-auc:0.847346 valid-auc:0.728381
[5] train-auc:0.850894 valid-auc:0.730341
[6] train-auc:0.854576 valid-auc:0.731289
[7] train-auc:0.856952 valid-auc:0.731565
[8] train-auc:0.858826 valid-auc:0.73275
[9] train-auc:0.861137 valid-auc:0.733226
[10] train-auc:0.863073 valid-auc:0.734136
[11] train-auc:0.86531 valid-auc:0.734426
[12] train-auc:0.867175 valid-auc:0.734889
[13] train-auc:0.869013 valid-auc:0.735064
[14] train-auc:0.87097 valid-auc:0.735869
[15] train-auc:0.873033 valid-auc:0.73573
[16] train-auc:0.874624 valid-auc:0.736456
[17] train-auc:0.875735 valid-auc:0.737051
[18] train-auc:0.87711 valid-auc:0.737208
[19] train-auc:0.878569 valid-auc:0.737624
[20] train-auc:0.879752 valid-auc:0.737951
[21] train-auc:0.881277 valid-auc:0.738228
[22] train-auc:0.882626 valid-auc:0.738205
[23] train-auc:0.884004 valid-auc:0.738703
[24] train-auc:0.885521 valid-auc:0.739074
[25] train-auc:0.887204 valid-auc:0.73933
[26] train-auc:0.888555 valid-auc:0.739185
[27] train-auc:0.889506 valid-auc:0.739323
[28] train-auc:0.891087 valid-auc:0.739385
[29] train-auc:0.892228 valid-auc:0.739992
[30] train-auc:0.893585 valid-auc:0.740324
[31] train-auc:0.895311 valid-auc:0.740582
[32] train-auc:0.896518 valid-auc:0.740569
[33] train-auc:0.897951 valid-auc:0.740641
[34] train-auc:0.899491 valid-auc:0.740822
[35] train-auc:0.900943 valid-auc:0.740994
[36] train-auc:0.902416 valid-auc:0.741097
[37] train-auc:0.903207 valid-auc:0.741304
[38] train-auc:0.904183 valid-auc:0.741243
[39] train-auc:0.904918 valid-auc:0.741558
[40] train-auc:0.905979 valid-auc:0.741673
[41] train-auc:0.907028 valid-auc:0.741637
[42] train-auc:0.908089 valid-auc:0.741743
[43] train-auc:0.909268 valid-auc:0.742071
[44] train-auc:0.910332 valid-auc:0.742162
[45] train-auc:0.911784 valid-auc:0.742392
[46] train-auc:0.912663 valid-auc:0.742537
[47] train-auc:0.913728 valid-auc:0.742644
[48] train-auc:0.914792 valid-auc:0.742865
[49] train-auc:0.915533 valid-auc:0.7429
[50] train-auc:0.916127 valid-auc:0.743067
[51] train-auc:0.917094 valid-auc:0.74324
[52] train-auc:0.917901 valid-auc:0.743235
[53] train-auc:0.918734 valid-auc:0.743622
[54] train-auc:0.919923 valid-auc:0.743951
[55] train-auc:0.920916 valid-auc:0.74428
[56] train-auc:0.92178 valid-auc:0.744484
[57] train-auc:0.922709 valid-auc:0.744536
[58] train-auc:0.92367 valid-auc:0.744895
[59] train-auc:0.924294 valid-auc:0.745049
[60] train-auc:0.925407 valid-auc:0.745256
[61] train-auc:0.926091 valid-auc:0.745328
[62] train-auc:0.926733 valid-auc:0.745281
[63] train-auc:0.927436 valid-auc:0.745491
[64] train-auc:0.928044 valid-auc:0.745752
[65] train-auc:0.929201 valid-auc:0.745968
[66] train-auc:0.930066 valid-auc:0.746086
[67] train-auc:0.930974 valid-auc:0.746115
[68] train-auc:0.931231 valid-auc:0.746281
[69] train-auc:0.932224 valid-auc:0.746365
[70] train-auc:0.933131 valid-auc:0.746472
[71] train-auc:0.933519 valid-auc:0.746488
[72] train-auc:0.934923 valid-auc:0.746698
[73] train-auc:0.935579 valid-auc:0.746794
[74] train-auc:0.936435 valid-auc:0.747113
[75] train-auc:0.937432 valid-auc:0.747352
[76] train-auc:0.938088 valid-auc:0.747416
[77] train-auc:0.939276 valid-auc:0.747347
[78] train-auc:0.939812 valid-auc:0.747522
[79] train-auc:0.940331 valid-auc:0.74763
[80] train-auc:0.940768 valid-auc:0.747751
[81] train-auc:0.942052 valid-auc:0.747768
[82] train-auc:0.943108 valid-auc:0.74826
[83] train-auc:0.943895 valid-auc:0.748325
[84] train-auc:0.944392 valid-auc:0.748417
[85] train-auc:0.94502 valid-auc:0.748625
[86] train-auc:0.945478 valid-auc:0.748616
[87] train-auc:0.946224 valid-auc:0.748538
[88] train-auc:0.946893 valid-auc:0.748545
[89] train-auc:0.947482 valid-auc:0.748676
[90] train-auc:0.947666 valid-auc:0.748757
[91] train-auc:0.9482 valid-auc:0.748832
[92] train-auc:0.948791 valid-auc:0.749111
[93] train-auc:0.949275 valid-auc:0.749379
[94] train-auc:0.949527 valid-auc:0.749513
[95] train-auc:0.949978 valid-auc:0.749568
[96] train-auc:0.95057 valid-auc:0.749815
[97] train-auc:0.951142 valid-auc:0.749965
[98] train-auc:0.952352 valid-auc:0.750127
[99] train-auc:0.952711 valid-auc:0.75027
[100] train-auc:0.953099 valid-auc:0.750413
[101] train-auc:0.95318 valid-auc:0.750341
[102] train-auc:0.953499 valid-auc:0.750535
[103] train-auc:0.95393 valid-auc:0.750502
[104] train-auc:0.954826 valid-auc:0.750887
[105] train-auc:0.954918 valid-auc:0.750938
[106] train-auc:0.955225 valid-auc:0.750933
[107] train-auc:0.95567 valid-auc:0.750856
[108] train-auc:0.955752 valid-auc:0.75097
[109] train-auc:0.956695 valid-auc:0.751116
[110] train-auc:0.957328 valid-auc:0.751422
[111] train-auc:0.957602 valid-auc:0.751546
[112] train-auc:0.958138 valid-auc:0.751719
[113] train-auc:0.958797 valid-auc:0.751782
[114] train-auc:0.959194 valid-auc:0.75184
[115] train-auc:0.959709 valid-auc:0.752112
[116] train-auc:0.959891 valid-auc:0.752298
[117] train-auc:0.960161 valid-auc:0.752207
[118] train-auc:0.96059 valid-auc:0.752103
[119] train-auc:0.960811 valid-auc:0.752023
[120] train-auc:0.961562 valid-auc:0.752161
[121] train-auc:0.962087 valid-auc:0.752315
[122] train-auc:0.962736 valid-auc:0.752531
[123] train-auc:0.9628 valid-auc:0.752502
[124] train-auc:0.963235 valid-auc:0.752563
[125] train-auc:0.963461 valid-auc:0.752562
[126] train-auc:0.963658 valid-auc:0.752541
[127] train-auc:0.964071 valid-auc:0.752692
[128] train-auc:0.964621 valid-auc:0.752621
[129] train-auc:0.964966 valid-auc:0.752712
[130] train-auc:0.965278 valid-auc:0.752775
[131] train-auc:0.965856 valid-auc:0.75268
[132] train-auc:0.966335 valid-auc:0.752938
[133] train-auc:0.966686 valid-auc:0.752951
[134] train-auc:0.967116 valid-auc:0.753001
[135] train-auc:0.967727 valid-auc:0.753196
[136] train-auc:0.967845 valid-auc:0.753177
[137] train-auc:0.968112 valid-auc:0.753218
[138] train-auc:0.968246 valid-auc:0.753214
[139] train-auc:0.968517 valid-auc:0.753318
[140] train-auc:0.968531 valid-auc:0.753327
[141] train-auc:0.96885 valid-auc:0.753479
[142] train-auc:0.968854 valid-auc:0.753476
[143] train-auc:0.969285 valid-auc:0.753348
[144] train-auc:0.969488 valid-auc:0.753356
[145] train-auc:0.970232 valid-auc:0.753767
[146] train-auc:0.970562 valid-auc:0.753982
[147] train-auc:0.971073 valid-auc:0.753834
[148] train-auc:0.971576 valid-auc:0.753889
[149] train-auc:0.971788 valid-auc:0.753839
[150] train-auc:0.972277 valid-auc:0.754
[151] train-auc:0.972455 valid-auc:0.754034
[152] train-auc:0.972918 valid-auc:0.753967
[153] train-auc:0.973026 valid-auc:0.753944
[154] train-auc:0.973358 valid-auc:0.753949
[155] train-auc:0.973712 valid-auc:0.754165
[156] train-auc:0.973954 valid-auc:0.75415
[157] train-auc:0.974316 valid-auc:0.754274
[158] train-auc:0.974662 valid-auc:0.754469
[159] train-auc:0.974891 valid-auc:0.75463
[160] train-auc:0.974923 valid-auc:0.754635
[161] train-auc:0.975029 valid-auc:0.754639
[162] train-auc:0.975116 valid-auc:0.754679
[163] train-auc:0.975191 valid-auc:0.754731
[164] train-auc:0.975607 valid-auc:0.754734
[165] train-auc:0.975893 valid-auc:0.754827
[166] train-auc:0.976068 valid-auc:0.754847
[167] train-auc:0.976124 valid-auc:0.754879
[168] train-auc:0.976415 valid-auc:0.754922
[169] train-auc:0.976599 valid-auc:0.755009
[170] train-auc:0.976645 valid-auc:0.755047
[171] train-auc:0.977113 valid-auc:0.75511
[172] train-auc:0.977262 valid-auc:0.75513
[173] train-auc:0.9775 valid-auc:0.755088
[174] train-auc:0.977577 valid-auc:0.755086
[175] train-auc:0.977764 valid-auc:0.755114
[176] train-auc:0.977887 valid-auc:0.755192
[177] train-auc:0.978033 valid-auc:0.755271
[178] train-auc:0.978241 valid-auc:0.755364
[179] train-auc:0.978622 valid-auc:0.75537
[180] train-auc:0.978752 valid-auc:0.755477
[181] train-auc:0.978859 valid-auc:0.755496
[182] train-auc:0.97921 valid-auc:0.755685
[183] train-auc:0.979561 valid-auc:0.755552
[184] train-auc:0.97967 valid-auc:0.755608
[185] train-auc:0.979803 valid-auc:0.755584
[186] train-auc:0.979979 valid-auc:0.755716
[187] train-auc:0.980592 valid-auc:0.755853
[188] train-auc:0.980821 valid-auc:0.755879
[189] train-auc:0.980901 valid-auc:0.755924
[190] train-auc:0.981108 valid-auc:0.756051
[191] train-auc:0.981554 valid-auc:0.756219
[192] train-auc:0.981636 valid-auc:0.756225
[193] train-auc:0.981744 valid-auc:0.756233
[194] train-auc:0.982068 valid-auc:0.756224
[195] train-auc:0.982333 valid-auc:0.756105
[196] train-auc:0.982531 valid-auc:0.756179
[197] train-auc:0.98266 valid-auc:0.756167
[198] train-auc:0.982772 valid-auc:0.756097
[199] train-auc:0.982984 valid-auc:0.75614
[200] train-auc:0.983102 valid-auc:0.756094
[201] train-auc:0.983334 valid-auc:0.756103
[202] train-auc:0.983606 valid-auc:0.756142
[203] train-auc:0.983742 valid-auc:0.756044
[204] train-auc:0.98404 valid-auc:0.755904
[205] train-auc:0.984332 valid-auc:0.755872
[206] train-auc:0.984824 valid-auc:0.755964
[207] train-auc:0.985032 valid-auc:0.756022
[208] train-auc:0.985247 valid-auc:0.756035
[209] train-auc:0.985431 valid-auc:0.755991
[210] train-auc:0.985533 valid-auc:0.756016
[211] train-auc:0.985725 valid-auc:0.756031
[212] train-auc:0.985831 valid-auc:0.756058
[213] train-auc:0.98615 valid-auc:0.755926
[214] train-auc:0.986249 valid-auc:0.75585
[215] train-auc:0.986322 valid-auc:0.755907
[216] train-auc:0.986408 valid-auc:0.755879
[217] train-auc:0.98648 valid-auc:0.755957
[218] train-auc:0.986646 valid-auc:0.756084
[219] train-auc:0.98686 valid-auc:0.756153
[220] train-auc:0.986972 valid-auc:0.756198
[221] train-auc:0.987056 valid-auc:0.756339
[222] train-auc:0.987136 valid-auc:0.756408
[223] train-auc:0.987374 valid-auc:0.756522
[224] train-auc:0.987682 valid-auc:0.756366
[225] train-auc:0.9878 valid-auc:0.756357
[226] train-auc:0.987995 valid-auc:0.756434
[227] train-auc:0.988138 valid-auc:0.756584
[228] train-auc:0.988253 valid-auc:0.756605
[229] train-auc:0.988347 valid-auc:0.756612
[230] train-auc:0.988434 valid-auc:0.756608
[231] train-auc:0.9886 valid-auc:0.756588
[232] train-auc:0.98873 valid-auc:0.756543
[233] train-auc:0.988953 valid-auc:0.756446
[234] train-auc:0.989092 valid-auc:0.756429
[235] train-auc:0.98913 valid-auc:0.756414
[236] train-auc:0.989374 valid-auc:0.756547
[237] train-auc:0.989459 valid-auc:0.756512
[238] train-auc:0.989521 valid-auc:0.756494
[239] train-auc:0.989731 valid-auc:0.756616
[240] train-auc:0.989773 valid-auc:0.756598
[241] train-auc:0.989963 valid-auc:0.756603
[242] train-auc:0.990014 valid-auc:0.756622
[243] train-auc:0.990076 valid-auc:0.756571
[244] train-auc:0.990294 valid-auc:0.756536
[245] train-auc:0.990353 valid-auc:0.756506
[246] train-auc:0.990472 valid-auc:0.756426
[247] train-auc:0.990665 valid-auc:0.756351
[248] train-auc:0.990828 valid-auc:0.756512
[249] train-auc:0.991017 valid-auc:0.756424
[250] train-auc:0.99124 valid-auc:0.756432
[251] train-auc:0.991369 valid-auc:0.756519
[252] train-auc:0.991457 valid-auc:0.756492
[253] train-auc:0.991658 valid-auc:0.756414
[254] train-auc:0.991877 valid-auc:0.756383
[255] train-auc:0.991972 valid-auc:0.756439
[256] train-auc:0.991989 valid-auc:0.756438
[257] train-auc:0.992111 valid-auc:0.756447
[258] train-auc:0.992274 valid-auc:0.756356
[259] train-auc:0.992418 valid-auc:0.756359
[260] train-auc:0.992504 valid-auc:0.756442
[261] train-auc:0.992588 valid-auc:0.756498
[262] train-auc:0.992657 valid-auc:0.756543
[263] train-auc:0.992742 valid-auc:0.75655
[264] train-auc:0.992873 valid-auc:0.756606
[265] train-auc:0.993004 valid-auc:0.756569
[266] train-auc:0.99309 valid-auc:0.756601
[267] train-auc:0.993137 valid-auc:0.756648
[268] train-auc:0.993329 valid-auc:0.756667
[269] train-auc:0.993468 valid-auc:0.756743
[270] train-auc:0.993536 valid-auc:0.756683
[271] train-auc:0.993608 valid-auc:0.75668
[272] train-auc:0.993707 valid-auc:0.75684
[273] train-auc:0.993774 valid-auc:0.756829
[274] train-auc:0.993847 valid-auc:0.756815
[275] train-auc:0.993894 valid-auc:0.756832
[276] train-auc:0.993954 valid-auc:0.756797
[277] train-auc:0.993959 valid-auc:0.756851
[278] train-auc:0.994024 valid-auc:0.756944
[279] train-auc:0.994105 valid-auc:0.756779
[280] train-auc:0.994268 valid-auc:0.756835
[281] train-auc:0.994325 valid-auc:0.756811
[282] train-auc:0.994433 valid-auc:0.756767
[283] train-auc:0.994492 valid-auc:0.756697
[284] train-auc:0.994534 valid-auc:0.756743
[285] train-auc:0.994583 valid-auc:0.756657
[286] train-auc:0.994717 valid-auc:0.75679
[287] train-auc:0.994802 valid-auc:0.756868
[288] train-auc:0.994917 valid-auc:0.756925
[289] train-auc:0.994983 valid-auc:0.75681
[290] train-auc:0.995084 valid-auc:0.756851
[291] train-auc:0.995203 valid-auc:0.756719
[292] train-auc:0.995255 valid-auc:0.75679
[293] train-auc:0.995299 valid-auc:0.756831
[294] train-auc:0.995363 valid-auc:0.756695
[295] train-auc:0.995484 valid-auc:0.75662
[296] train-auc:0.995572 valid-auc:0.756616
[297] train-auc:0.995582 valid-auc:0.756569
[298] train-auc:0.995662 valid-auc:0.75649
[299] train-auc:0.995718 valid-auc:0.756685
[300] train-auc:0.995795 valid-auc:0.756775
[301] train-auc:0.995888 valid-auc:0.756688
[302] train-auc:0.995955 valid-auc:0.756728
[303] train-auc:0.995994 valid-auc:0.75667
[304] train-auc:0.996041 valid-auc:0.756629
[305] train-auc:0.996081 valid-auc:0.756621
[306] train-auc:0.996154 valid-auc:0.756607
[307] train-auc:0.996209 valid-auc:0.756649
[308] train-auc:0.996257 valid-auc:0.756713
[309] train-auc:0.996313 valid-auc:0.756841
[310] train-auc:0.996356 valid-auc:0.756785
[311] train-auc:0.996376 valid-auc:0.756807
[312] train-auc:0.996386 valid-auc:0.75679
[313] train-auc:0.996399 valid-auc:0.75683
[314] train-auc:0.996449 valid-auc:0.756775
[315] train-auc:0.996493 valid-auc:0.756672
[316] train-auc:0.996534 valid-auc:0.756653
[317] train-auc:0.996593 valid-auc:0.756684
[318] train-auc:0.996651 valid-auc:0.75678
[319] train-auc:0.996724 valid-auc:0.756767
[320] train-auc:0.996779 valid-auc:0.756783
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[322] train-auc:0.996829 valid-auc:0.75678
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[324] train-auc:0.996895 valid-auc:0.756766
[325] train-auc:0.996921 valid-auc:0.756814
[326] train-auc:0.996962 valid-auc:0.756726
[327] train-auc:0.996973 valid-auc:0.756706
[328] train-auc:0.997038 valid-auc:0.756666
Stopping. Best iteration:
[278] train-auc:0.994024 valid-auc:0.756944
C:\ProgramData\Anaconda3\lib\site-packages\mlcrate\backend.py:7: UserWarning: Timer.format_elapsed() has been deprecated in favour of Timer.fsince() and will be removed soon
warn(message)
[mlcrate] Finished training fold 0 - took 3m18s - running score 0.756944
[mlcrate] Running fold 1, 62697 train samples, 10450 validation samples
[0] train-auc:0.802126 valid-auc:0.717387
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.825796 valid-auc:0.729627
[2] train-auc:0.834618 valid-auc:0.735753
[3] train-auc:0.839743 valid-auc:0.73949
[4] train-auc:0.844474 valid-auc:0.742672
[5] train-auc:0.84877 valid-auc:0.744647
[6] train-auc:0.85174 valid-auc:0.74648
[7] train-auc:0.85457 valid-auc:0.74712
[8] train-auc:0.856687 valid-auc:0.747697
[9] train-auc:0.859483 valid-auc:0.747975
[10] train-auc:0.861243 valid-auc:0.748512
[11] train-auc:0.862815 valid-auc:0.748757
[12] train-auc:0.863906 valid-auc:0.7492
[13] train-auc:0.865851 valid-auc:0.749713
[14] train-auc:0.868062 valid-auc:0.749515
[15] train-auc:0.869637 valid-auc:0.749912
[16] train-auc:0.871771 valid-auc:0.75038
[17] train-auc:0.872906 valid-auc:0.750563
[18] train-auc:0.874561 valid-auc:0.750894
[19] train-auc:0.876673 valid-auc:0.750557
[20] train-auc:0.877815 valid-auc:0.750926
[21] train-auc:0.879297 valid-auc:0.75136
[22] train-auc:0.881041 valid-auc:0.751165
[23] train-auc:0.882978 valid-auc:0.751392
[24] train-auc:0.884958 valid-auc:0.751619
[25] train-auc:0.886282 valid-auc:0.751905
[26] train-auc:0.887515 valid-auc:0.752024
[27] train-auc:0.888817 valid-auc:0.752544
[28] train-auc:0.889943 valid-auc:0.752537
[29] train-auc:0.891207 valid-auc:0.752987
[30] train-auc:0.892191 valid-auc:0.753114
[31] train-auc:0.893148 valid-auc:0.753205
[32] train-auc:0.894338 valid-auc:0.753349
[33] train-auc:0.895395 valid-auc:0.7537
[34] train-auc:0.8971 valid-auc:0.75378
[35] train-auc:0.89862 valid-auc:0.753985
[36] train-auc:0.899452 valid-auc:0.754047
[37] train-auc:0.900648 valid-auc:0.754106
[38] train-auc:0.901578 valid-auc:0.754035
[39] train-auc:0.902944 valid-auc:0.754364
[40] train-auc:0.904249 valid-auc:0.75463
[41] train-auc:0.905592 valid-auc:0.755029
[42] train-auc:0.907143 valid-auc:0.755299
[43] train-auc:0.908329 valid-auc:0.755231
[44] train-auc:0.909589 valid-auc:0.755296
[45] train-auc:0.910657 valid-auc:0.755577
[46] train-auc:0.911749 valid-auc:0.755851
[47] train-auc:0.912503 valid-auc:0.755894
[48] train-auc:0.913322 valid-auc:0.756305
[49] train-auc:0.914224 valid-auc:0.756394
[50] train-auc:0.915501 valid-auc:0.756657
[51] train-auc:0.916388 valid-auc:0.756708
[52] train-auc:0.917304 valid-auc:0.756889
[53] train-auc:0.918127 valid-auc:0.756903
[54] train-auc:0.919423 valid-auc:0.757234
[55] train-auc:0.92027 valid-auc:0.757225
[56] train-auc:0.921265 valid-auc:0.757388
[57] train-auc:0.921819 valid-auc:0.757553
[58] train-auc:0.922643 valid-auc:0.757771
[59] train-auc:0.923513 valid-auc:0.757831
[60] train-auc:0.924249 valid-auc:0.758001
[61] train-auc:0.925495 valid-auc:0.757901
[62] train-auc:0.926612 valid-auc:0.758148
[63] train-auc:0.927309 valid-auc:0.758475
[64] train-auc:0.927895 valid-auc:0.758609
[65] train-auc:0.928725 valid-auc:0.758964
[66] train-auc:0.930009 valid-auc:0.759136
[67] train-auc:0.930839 valid-auc:0.759309
[68] train-auc:0.931956 valid-auc:0.759366
[69] train-auc:0.932331 valid-auc:0.75939
[70] train-auc:0.932898 valid-auc:0.759451
[71] train-auc:0.933708 valid-auc:0.759653
[72] train-auc:0.934486 valid-auc:0.759973
[73] train-auc:0.935577 valid-auc:0.759981
[74] train-auc:0.936111 valid-auc:0.760024
[75] train-auc:0.93677 valid-auc:0.760314
[76] train-auc:0.937532 valid-auc:0.760395
[77] train-auc:0.938259 valid-auc:0.760472
[78] train-auc:0.938989 valid-auc:0.760594
[79] train-auc:0.939513 valid-auc:0.760697
[80] train-auc:0.939762 valid-auc:0.760841
[81] train-auc:0.940413 valid-auc:0.760786
[82] train-auc:0.941108 valid-auc:0.761006
[83] train-auc:0.941943 valid-auc:0.761015
[84] train-auc:0.942867 valid-auc:0.761122
[85] train-auc:0.943335 valid-auc:0.761076
[86] train-auc:0.943883 valid-auc:0.761055
[87] train-auc:0.944695 valid-auc:0.761095
[88] train-auc:0.945709 valid-auc:0.76124
[89] train-auc:0.94644 valid-auc:0.761806
[90] train-auc:0.94655 valid-auc:0.761777
[91] train-auc:0.946995 valid-auc:0.761962
[92] train-auc:0.947569 valid-auc:0.762082
[93] train-auc:0.94833 valid-auc:0.761809
[94] train-auc:0.948888 valid-auc:0.7618
[95] train-auc:0.949168 valid-auc:0.761805
[96] train-auc:0.949781 valid-auc:0.761776
[97] train-auc:0.950418 valid-auc:0.761811
[98] train-auc:0.950616 valid-auc:0.761855
[99] train-auc:0.951285 valid-auc:0.761925
[100] train-auc:0.951886 valid-auc:0.7619
[101] train-auc:0.952736 valid-auc:0.761974
[102] train-auc:0.953068 valid-auc:0.761972
[103] train-auc:0.954005 valid-auc:0.762303
[104] train-auc:0.954538 valid-auc:0.762679
[105] train-auc:0.954753 valid-auc:0.762764
[106] train-auc:0.955246 valid-auc:0.762954
[107] train-auc:0.955903 valid-auc:0.763177
[108] train-auc:0.956093 valid-auc:0.76316
[109] train-auc:0.956447 valid-auc:0.763281
[110] train-auc:0.956755 valid-auc:0.763402
[111] train-auc:0.957128 valid-auc:0.763616
[112] train-auc:0.957742 valid-auc:0.763828
[113] train-auc:0.957991 valid-auc:0.763882
[114] train-auc:0.95871 valid-auc:0.7638
[115] train-auc:0.958963 valid-auc:0.76381
[116] train-auc:0.959527 valid-auc:0.764028
[117] train-auc:0.959975 valid-auc:0.763992
[118] train-auc:0.960582 valid-auc:0.763859
[119] train-auc:0.960878 valid-auc:0.764006
[120] train-auc:0.961124 valid-auc:0.76402
[121] train-auc:0.961375 valid-auc:0.764056
[122] train-auc:0.961717 valid-auc:0.764004
[123] train-auc:0.961802 valid-auc:0.764051
[124] train-auc:0.962044 valid-auc:0.764062
[125] train-auc:0.963028 valid-auc:0.764462
[126] train-auc:0.963275 valid-auc:0.764489
[127] train-auc:0.963625 valid-auc:0.764472
[128] train-auc:0.96413 valid-auc:0.764632
[129] train-auc:0.964404 valid-auc:0.764515
[130] train-auc:0.964833 valid-auc:0.764608
[131] train-auc:0.965168 valid-auc:0.764618
[132] train-auc:0.965577 valid-auc:0.764652
[133] train-auc:0.966165 valid-auc:0.764599
[134] train-auc:0.966793 valid-auc:0.764843
[135] train-auc:0.967167 valid-auc:0.764972
[136] train-auc:0.967657 valid-auc:0.765103
[137] train-auc:0.96818 valid-auc:0.76518
[138] train-auc:0.968359 valid-auc:0.765079
[139] train-auc:0.968817 valid-auc:0.76505
[140] train-auc:0.969085 valid-auc:0.765029
[141] train-auc:0.969685 valid-auc:0.765038
[142] train-auc:0.969834 valid-auc:0.765076
[143] train-auc:0.970273 valid-auc:0.765116
[144] train-auc:0.970644 valid-auc:0.765272
[145] train-auc:0.970988 valid-auc:0.765417
[146] train-auc:0.971319 valid-auc:0.765567
[147] train-auc:0.971637 valid-auc:0.765628
[148] train-auc:0.971748 valid-auc:0.765685
[149] train-auc:0.972051 valid-auc:0.765764
[150] train-auc:0.972554 valid-auc:0.765786
[151] train-auc:0.972766 valid-auc:0.765984
[152] train-auc:0.973048 valid-auc:0.765966
[153] train-auc:0.973432 valid-auc:0.765963
[154] train-auc:0.973709 valid-auc:0.766038
[155] train-auc:0.973908 valid-auc:0.766008
[156] train-auc:0.974277 valid-auc:0.765939
[157] train-auc:0.974555 valid-auc:0.765892
[158] train-auc:0.974869 valid-auc:0.765969
[159] train-auc:0.975069 valid-auc:0.766111
[160] train-auc:0.975217 valid-auc:0.766053
[161] train-auc:0.975821 valid-auc:0.766044
[162] train-auc:0.976201 valid-auc:0.766229
[163] train-auc:0.976448 valid-auc:0.766209
[164] train-auc:0.976804 valid-auc:0.766375
[165] train-auc:0.977122 valid-auc:0.766427
[166] train-auc:0.977446 valid-auc:0.766453
[167] train-auc:0.977906 valid-auc:0.766326
[168] train-auc:0.978196 valid-auc:0.766449
[169] train-auc:0.978498 valid-auc:0.766457
[170] train-auc:0.978648 valid-auc:0.766492
[171] train-auc:0.978922 valid-auc:0.766544
[172] train-auc:0.978961 valid-auc:0.766627
[173] train-auc:0.979071 valid-auc:0.76662
[174] train-auc:0.979227 valid-auc:0.766518
[175] train-auc:0.979469 valid-auc:0.766527
[176] train-auc:0.979553 valid-auc:0.766598
[177] train-auc:0.979767 valid-auc:0.766507
[178] train-auc:0.979802 valid-auc:0.766557
[179] train-auc:0.979992 valid-auc:0.766578
[180] train-auc:0.980338 valid-auc:0.766656
[181] train-auc:0.980496 valid-auc:0.766629
[182] train-auc:0.980784 valid-auc:0.766636
[183] train-auc:0.981072 valid-auc:0.766686
[184] train-auc:0.981349 valid-auc:0.766726
[185] train-auc:0.981707 valid-auc:0.766507
[186] train-auc:0.981752 valid-auc:0.766537
[187] train-auc:0.982009 valid-auc:0.766507
[188] train-auc:0.982252 valid-auc:0.76647
[189] train-auc:0.982304 valid-auc:0.766486
[190] train-auc:0.982685 valid-auc:0.766557
[191] train-auc:0.982843 valid-auc:0.766549
[192] train-auc:0.983282 valid-auc:0.766817
[193] train-auc:0.983736 valid-auc:0.766885
[194] train-auc:0.984124 valid-auc:0.767017
[195] train-auc:0.984312 valid-auc:0.767066
[196] train-auc:0.984448 valid-auc:0.767108
[197] train-auc:0.984755 valid-auc:0.767043
[198] train-auc:0.985026 valid-auc:0.766946
[199] train-auc:0.985181 valid-auc:0.766927
[200] train-auc:0.98555 valid-auc:0.767132
[201] train-auc:0.985899 valid-auc:0.766853
[202] train-auc:0.986258 valid-auc:0.766918
[203] train-auc:0.986358 valid-auc:0.767029
[204] train-auc:0.986477 valid-auc:0.767147
[205] train-auc:0.986769 valid-auc:0.767118
[206] train-auc:0.98686 valid-auc:0.767152
[207] train-auc:0.986995 valid-auc:0.766989
[208] train-auc:0.987048 valid-auc:0.766981
[209] train-auc:0.987173 valid-auc:0.76688
[210] train-auc:0.987382 valid-auc:0.766859
[211] train-auc:0.98753 valid-auc:0.766891
[212] train-auc:0.987602 valid-auc:0.766952
[213] train-auc:0.987944 valid-auc:0.76688
[214] train-auc:0.98813 valid-auc:0.766782
[215] train-auc:0.988278 valid-auc:0.766763
[216] train-auc:0.988411 valid-auc:0.766726
[217] train-auc:0.98843 valid-auc:0.766714
[218] train-auc:0.98845 valid-auc:0.766731
[219] train-auc:0.988642 valid-auc:0.766908
[220] train-auc:0.988866 valid-auc:0.766862
[221] train-auc:0.989101 valid-auc:0.76699
[222] train-auc:0.989215 valid-auc:0.767004
[223] train-auc:0.98926 valid-auc:0.767014
[224] train-auc:0.989326 valid-auc:0.767037
[225] train-auc:0.989606 valid-auc:0.767264
[226] train-auc:0.989724 valid-auc:0.767272
[227] train-auc:0.989888 valid-auc:0.767443
[228] train-auc:0.990006 valid-auc:0.767487
[229] train-auc:0.990185 valid-auc:0.767443
[230] train-auc:0.990212 valid-auc:0.767412
[231] train-auc:0.990337 valid-auc:0.767309
[232] train-auc:0.990469 valid-auc:0.76719
[233] train-auc:0.990641 valid-auc:0.76726
[234] train-auc:0.990708 valid-auc:0.767353
[235] train-auc:0.990875 valid-auc:0.767247
[236] train-auc:0.991011 valid-auc:0.76711
[237] train-auc:0.991143 valid-auc:0.767249
[238] train-auc:0.991235 valid-auc:0.767155
[239] train-auc:0.991344 valid-auc:0.767161
[240] train-auc:0.991575 valid-auc:0.767185
[241] train-auc:0.991693 valid-auc:0.767094
[242] train-auc:0.991751 valid-auc:0.767085
[243] train-auc:0.991771 valid-auc:0.767096
[244] train-auc:0.991914 valid-auc:0.767201
[245] train-auc:0.992042 valid-auc:0.767298
[246] train-auc:0.992082 valid-auc:0.767346
[247] train-auc:0.992194 valid-auc:0.767603
[248] train-auc:0.992209 valid-auc:0.767645
[249] train-auc:0.99236 valid-auc:0.76778
[250] train-auc:0.992387 valid-auc:0.767807
[251] train-auc:0.992558 valid-auc:0.767667
[252] train-auc:0.992622 valid-auc:0.767582
[253] train-auc:0.99281 valid-auc:0.767537
[254] train-auc:0.992981 valid-auc:0.767551
[255] train-auc:0.993172 valid-auc:0.767448
[256] train-auc:0.993242 valid-auc:0.767454
[257] train-auc:0.993321 valid-auc:0.767411
[258] train-auc:0.993365 valid-auc:0.767424
[259] train-auc:0.993464 valid-auc:0.767378
[260] train-auc:0.993495 valid-auc:0.767368
[261] train-auc:0.993533 valid-auc:0.767334
[262] train-auc:0.99361 valid-auc:0.767365
[263] train-auc:0.993668 valid-auc:0.76742
[264] train-auc:0.993743 valid-auc:0.76752
[265] train-auc:0.993869 valid-auc:0.767457
[266] train-auc:0.993935 valid-auc:0.767424
[267] train-auc:0.99399 valid-auc:0.767272
[268] train-auc:0.99413 valid-auc:0.767356
[269] train-auc:0.994227 valid-auc:0.767326
[270] train-auc:0.994279 valid-auc:0.767421
[271] train-auc:0.994341 valid-auc:0.767397
[272] train-auc:0.99437 valid-auc:0.767403
[273] train-auc:0.994405 valid-auc:0.76742
[274] train-auc:0.994516 valid-auc:0.76748
[275] train-auc:0.994557 valid-auc:0.767406
[276] train-auc:0.994692 valid-auc:0.767447
[277] train-auc:0.994823 valid-auc:0.767387
[278] train-auc:0.994889 valid-auc:0.767456
[279] train-auc:0.994975 valid-auc:0.767356
[280] train-auc:0.995106 valid-auc:0.767349
[281] train-auc:0.995139 valid-auc:0.767347
[282] train-auc:0.995207 valid-auc:0.767347
[283] train-auc:0.995252 valid-auc:0.767385
[284] train-auc:0.995314 valid-auc:0.767272
[285] train-auc:0.995352 valid-auc:0.76726
[286] train-auc:0.995413 valid-auc:0.767216
[287] train-auc:0.995475 valid-auc:0.767368
[288] train-auc:0.995529 valid-auc:0.767328
[289] train-auc:0.995572 valid-auc:0.767374
[290] train-auc:0.995621 valid-auc:0.767409
[291] train-auc:0.995688 valid-auc:0.767513
[292] train-auc:0.995741 valid-auc:0.767481
[293] train-auc:0.99584 valid-auc:0.767647
[294] train-auc:0.995879 valid-auc:0.76769
[295] train-auc:0.995925 valid-auc:0.767688
[296] train-auc:0.995951 valid-auc:0.767778
[297] train-auc:0.996028 valid-auc:0.767773
[298] train-auc:0.996048 valid-auc:0.767711
[299] train-auc:0.996085 valid-auc:0.76766
[300] train-auc:0.996215 valid-auc:0.767715
Stopping. Best iteration:
[250] train-auc:0.992387 valid-auc:0.767807
[mlcrate] Finished training fold 1 - took 2m55s - running score 0.7623755
[mlcrate] Running fold 2, 62697 train samples, 10450 validation samples
[0] train-auc:0.805073 valid-auc:0.69177
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.827105 valid-auc:0.709779
[2] train-auc:0.836321 valid-auc:0.714968
[3] train-auc:0.840961 valid-auc:0.719907
[4] train-auc:0.845937 valid-auc:0.723375
[5] train-auc:0.848936 valid-auc:0.725736
[6] train-auc:0.85165 valid-auc:0.727566
[7] train-auc:0.854224 valid-auc:0.728727
[8] train-auc:0.856986 valid-auc:0.730018
[9] train-auc:0.859612 valid-auc:0.730488
[10] train-auc:0.861386 valid-auc:0.730889
[11] train-auc:0.863258 valid-auc:0.731624
[12] train-auc:0.865097 valid-auc:0.732323
[13] train-auc:0.866073 valid-auc:0.732908
[14] train-auc:0.867408 valid-auc:0.732912
[15] train-auc:0.869214 valid-auc:0.733153
[16] train-auc:0.870649 valid-auc:0.733664
[17] train-auc:0.872007 valid-auc:0.734101
[18] train-auc:0.872987 valid-auc:0.734099
[19] train-auc:0.874393 valid-auc:0.734775
[20] train-auc:0.876324 valid-auc:0.735064
[21] train-auc:0.877546 valid-auc:0.735354
[22] train-auc:0.878722 valid-auc:0.736022
[23] train-auc:0.880649 valid-auc:0.736224
[24] train-auc:0.882841 valid-auc:0.736784
[25] train-auc:0.884496 valid-auc:0.736888
[26] train-auc:0.886061 valid-auc:0.73698
[27] train-auc:0.887134 valid-auc:0.73703
[28] train-auc:0.888428 valid-auc:0.737646
[29] train-auc:0.88957 valid-auc:0.737904
[30] train-auc:0.890585 valid-auc:0.738422
[31] train-auc:0.891787 valid-auc:0.738531
[32] train-auc:0.892926 valid-auc:0.7385
[33] train-auc:0.894225 valid-auc:0.738747
[34] train-auc:0.895544 valid-auc:0.738817
[35] train-auc:0.897363 valid-auc:0.739064
[36] train-auc:0.899324 valid-auc:0.739442
[37] train-auc:0.900503 valid-auc:0.739483
[38] train-auc:0.901434 valid-auc:0.73957
[39] train-auc:0.902738 valid-auc:0.739754
[40] train-auc:0.903734 valid-auc:0.739989
[41] train-auc:0.904943 valid-auc:0.74018
[42] train-auc:0.906154 valid-auc:0.740384
[43] train-auc:0.90724 valid-auc:0.740519
[44] train-auc:0.908183 valid-auc:0.740562
[45] train-auc:0.909289 valid-auc:0.740817
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[412] train-auc:0.999157 valid-auc:0.754969
[413] train-auc:0.999171 valid-auc:0.755002
[414] train-auc:0.999184 valid-auc:0.754926
[415] train-auc:0.999184 valid-auc:0.754936
[416] train-auc:0.99919 valid-auc:0.754961
[417] train-auc:0.99921 valid-auc:0.754897
[418] train-auc:0.999231 valid-auc:0.754934
[419] train-auc:0.999238 valid-auc:0.754873
[420] train-auc:0.999251 valid-auc:0.754885
[421] train-auc:0.999261 valid-auc:0.754835
[422] train-auc:0.999269 valid-auc:0.754841
[423] train-auc:0.999278 valid-auc:0.754851
[424] train-auc:0.999283 valid-auc:0.754963
[425] train-auc:0.99929 valid-auc:0.754916
[426] train-auc:0.9993 valid-auc:0.754927
[427] train-auc:0.999305 valid-auc:0.75485
[428] train-auc:0.999324 valid-auc:0.75497
[429] train-auc:0.999338 valid-auc:0.754974
[430] train-auc:0.999345 valid-auc:0.75494
[431] train-auc:0.999352 valid-auc:0.754988
[432] train-auc:0.999353 valid-auc:0.755017
[433] train-auc:0.999355 valid-auc:0.755054
[434] train-auc:0.999363 valid-auc:0.755035
[435] train-auc:0.999378 valid-auc:0.755124
[436] train-auc:0.999392 valid-auc:0.755166
[437] train-auc:0.999395 valid-auc:0.755157
[438] train-auc:0.999403 valid-auc:0.755196
[439] train-auc:0.999409 valid-auc:0.755165
[440] train-auc:0.999422 valid-auc:0.755135
[441] train-auc:0.999431 valid-auc:0.755224
[442] train-auc:0.999445 valid-auc:0.755197
[443] train-auc:0.999456 valid-auc:0.755105
[444] train-auc:0.999467 valid-auc:0.755125
[445] train-auc:0.999473 valid-auc:0.755114
[446] train-auc:0.999479 valid-auc:0.755108
[447] train-auc:0.999485 valid-auc:0.755226
[448] train-auc:0.999496 valid-auc:0.755145
[449] train-auc:0.999508 valid-auc:0.755105
[450] train-auc:0.99952 valid-auc:0.755045
[451] train-auc:0.999532 valid-auc:0.755121
[452] train-auc:0.999534 valid-auc:0.755133
[453] train-auc:0.999545 valid-auc:0.755161
[454] train-auc:0.999559 valid-auc:0.755199
[455] train-auc:0.999572 valid-auc:0.755222
[456] train-auc:0.999575 valid-auc:0.75518
[457] train-auc:0.999582 valid-auc:0.755143
[458] train-auc:0.99959 valid-auc:0.755257
[459] train-auc:0.999598 valid-auc:0.755148
[460] train-auc:0.999608 valid-auc:0.755074
[461] train-auc:0.999619 valid-auc:0.754962
[462] train-auc:0.999621 valid-auc:0.754943
[463] train-auc:0.999626 valid-auc:0.754896
[464] train-auc:0.999631 valid-auc:0.754824
[465] train-auc:0.999633 valid-auc:0.754851
[466] train-auc:0.999637 valid-auc:0.754811
[467] train-auc:0.999645 valid-auc:0.754758
[468] train-auc:0.999653 valid-auc:0.754813
[469] train-auc:0.999657 valid-auc:0.754755
[470] train-auc:0.99966 valid-auc:0.754735
[471] train-auc:0.99967 valid-auc:0.754627
[472] train-auc:0.999675 valid-auc:0.754654
[473] train-auc:0.999677 valid-auc:0.754689
[474] train-auc:0.999685 valid-auc:0.754712
[475] train-auc:0.999689 valid-auc:0.754684
[476] train-auc:0.99969 valid-auc:0.754677
[477] train-auc:0.999696 valid-auc:0.754652
[478] train-auc:0.999698 valid-auc:0.754678
[479] train-auc:0.999701 valid-auc:0.754714
[480] train-auc:0.999704 valid-auc:0.754699
[481] train-auc:0.999711 valid-auc:0.754714
[482] train-auc:0.999714 valid-auc:0.754807
[483] train-auc:0.999715 valid-auc:0.754828
[484] train-auc:0.99972 valid-auc:0.754866
[485] train-auc:0.999723 valid-auc:0.754929
[486] train-auc:0.999724 valid-auc:0.754955
[487] train-auc:0.99973 valid-auc:0.75487
[488] train-auc:0.999735 valid-auc:0.754896
[489] train-auc:0.999745 valid-auc:0.754817
[490] train-auc:0.999749 valid-auc:0.754814
[491] train-auc:0.999752 valid-auc:0.754848
[492] train-auc:0.999759 valid-auc:0.754802
[493] train-auc:0.999763 valid-auc:0.754705
[494] train-auc:0.999769 valid-auc:0.754671
[495] train-auc:0.999773 valid-auc:0.754667
[496] train-auc:0.999781 valid-auc:0.754752
[497] train-auc:0.999786 valid-auc:0.754819
[498] train-auc:0.999789 valid-auc:0.754806
[499] train-auc:0.999794 valid-auc:0.754826
[500] train-auc:0.999795 valid-auc:0.754812
[501] train-auc:0.999797 valid-auc:0.754783
[502] train-auc:0.999799 valid-auc:0.754808
[503] train-auc:0.999806 valid-auc:0.754789
[504] train-auc:0.99981 valid-auc:0.754736
[505] train-auc:0.999812 valid-auc:0.754693
[506] train-auc:0.999815 valid-auc:0.754724
[507] train-auc:0.999818 valid-auc:0.754674
[508] train-auc:0.999823 valid-auc:0.754606
Stopping. Best iteration:
[458] train-auc:0.99959 valid-auc:0.755257
[mlcrate] Finished training fold 2 - took 5m00s - running score 0.7600026666666667
[mlcrate] Running fold 3, 62697 train samples, 10450 validation samples
[0] train-auc:0.799425 valid-auc:0.702943
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.823667 valid-auc:0.720345
[2] train-auc:0.833432 valid-auc:0.723061
[3] train-auc:0.839319 valid-auc:0.72769
[4] train-auc:0.845212 valid-auc:0.730796
[5] train-auc:0.848298 valid-auc:0.731349
[6] train-auc:0.852045 valid-auc:0.733027
[7] train-auc:0.854173 valid-auc:0.733315
[8] train-auc:0.856063 valid-auc:0.734307
[9] train-auc:0.857972 valid-auc:0.736021
[10] train-auc:0.859968 valid-auc:0.736243
[11] train-auc:0.862047 valid-auc:0.736706
[12] train-auc:0.864484 valid-auc:0.737487
[13] train-auc:0.866275 valid-auc:0.737803
[14] train-auc:0.868335 valid-auc:0.73875
[15] train-auc:0.870539 valid-auc:0.739518
[16] train-auc:0.871878 valid-auc:0.73948
[17] train-auc:0.873669 valid-auc:0.739789
[18] train-auc:0.875559 valid-auc:0.739806
[19] train-auc:0.87725 valid-auc:0.740111
[20] train-auc:0.878703 valid-auc:0.740262
[21] train-auc:0.880288 valid-auc:0.740614
[22] train-auc:0.881557 valid-auc:0.741293
[23] train-auc:0.882703 valid-auc:0.741851
[24] train-auc:0.884406 valid-auc:0.742157
[25] train-auc:0.88567 valid-auc:0.742722
[26] train-auc:0.88684 valid-auc:0.742427
[27] train-auc:0.887999 valid-auc:0.742587
[28] train-auc:0.889401 valid-auc:0.742854
[29] train-auc:0.890573 valid-auc:0.742934
[30] train-auc:0.891741 valid-auc:0.743223
[31] train-auc:0.892947 valid-auc:0.743073
[32] train-auc:0.894624 valid-auc:0.743071
[33] train-auc:0.895608 valid-auc:0.743213
[34] train-auc:0.897356 valid-auc:0.74325
[35] train-auc:0.898389 valid-auc:0.74315
[36] train-auc:0.899224 valid-auc:0.743175
[37] train-auc:0.900224 valid-auc:0.743328
[38] train-auc:0.901386 valid-auc:0.743493
[39] train-auc:0.902451 valid-auc:0.743995
[40] train-auc:0.903387 valid-auc:0.744156
[41] train-auc:0.904421 valid-auc:0.744185
[42] train-auc:0.905786 valid-auc:0.744465
[43] train-auc:0.906794 valid-auc:0.744528
[44] train-auc:0.908105 valid-auc:0.744572
[45] train-auc:0.909393 valid-auc:0.745134
[46] train-auc:0.91075 valid-auc:0.745454
[47] train-auc:0.911612 valid-auc:0.745401
[48] train-auc:0.911966 valid-auc:0.745518
[49] train-auc:0.91265 valid-auc:0.74563
[50] train-auc:0.914173 valid-auc:0.745828
[51] train-auc:0.915008 valid-auc:0.745902
[52] train-auc:0.915728 valid-auc:0.746104
[53] train-auc:0.916596 valid-auc:0.746565
[54] train-auc:0.917669 valid-auc:0.746684
[55] train-auc:0.918509 valid-auc:0.746862
[56] train-auc:0.919565 valid-auc:0.747035
[57] train-auc:0.920189 valid-auc:0.747288
[58] train-auc:0.921148 valid-auc:0.747334
[59] train-auc:0.922056 valid-auc:0.747527
[60] train-auc:0.922399 valid-auc:0.747668
[61] train-auc:0.923612 valid-auc:0.747864
[62] train-auc:0.924958 valid-auc:0.747943
[63] train-auc:0.925737 valid-auc:0.747887
[64] train-auc:0.926408 valid-auc:0.74808
[65] train-auc:0.927265 valid-auc:0.748317
[66] train-auc:0.927981 valid-auc:0.748559
[67] train-auc:0.928714 valid-auc:0.748743
[68] train-auc:0.929758 valid-auc:0.748918
[69] train-auc:0.930373 valid-auc:0.749094
[70] train-auc:0.931215 valid-auc:0.749443
[71] train-auc:0.931535 valid-auc:0.749484
[72] train-auc:0.932188 valid-auc:0.74959
[73] train-auc:0.932755 valid-auc:0.749764
[74] train-auc:0.933398 valid-auc:0.749872
[75] train-auc:0.933771 valid-auc:0.750087
[76] train-auc:0.934155 valid-auc:0.750055
[77] train-auc:0.934668 valid-auc:0.749975
[78] train-auc:0.935413 valid-auc:0.74989
[79] train-auc:0.936596 valid-auc:0.750248
[80] train-auc:0.937487 valid-auc:0.750372
[81] train-auc:0.938288 valid-auc:0.750377
[82] train-auc:0.938502 valid-auc:0.750389
[83] train-auc:0.938996 valid-auc:0.750457
[84] train-auc:0.939466 valid-auc:0.750608
[85] train-auc:0.940174 valid-auc:0.750633
[86] train-auc:0.941018 valid-auc:0.750919
[87] train-auc:0.942108 valid-auc:0.751076
[88] train-auc:0.942349 valid-auc:0.751176
[89] train-auc:0.94283 valid-auc:0.751221
[90] train-auc:0.943385 valid-auc:0.751268
[91] train-auc:0.943608 valid-auc:0.75141
[92] train-auc:0.943782 valid-auc:0.751639
[93] train-auc:0.944429 valid-auc:0.751684
[94] train-auc:0.945251 valid-auc:0.752028
[95] train-auc:0.94622 valid-auc:0.751976
[96] train-auc:0.946459 valid-auc:0.751889
[97] train-auc:0.946926 valid-auc:0.752009
[98] train-auc:0.947295 valid-auc:0.752029
[99] train-auc:0.947339 valid-auc:0.751994
[100] train-auc:0.947785 valid-auc:0.752094
[101] train-auc:0.948309 valid-auc:0.752106
[102] train-auc:0.948471 valid-auc:0.752028
[103] train-auc:0.949149 valid-auc:0.752127
[104] train-auc:0.949307 valid-auc:0.752197
[105] train-auc:0.949581 valid-auc:0.752261
[106] train-auc:0.950022 valid-auc:0.752398
[107] train-auc:0.950595 valid-auc:0.752431
[108] train-auc:0.951322 valid-auc:0.752679
[109] train-auc:0.951868 valid-auc:0.752892
[110] train-auc:0.952309 valid-auc:0.753076
[111] train-auc:0.952851 valid-auc:0.753117
[112] train-auc:0.953136 valid-auc:0.753038
[113] train-auc:0.953302 valid-auc:0.753019
[114] train-auc:0.953903 valid-auc:0.753095
[115] train-auc:0.954353 valid-auc:0.753136
[116] train-auc:0.954712 valid-auc:0.753407
[117] train-auc:0.955187 valid-auc:0.753417
[118] train-auc:0.955803 valid-auc:0.753635
[119] train-auc:0.956583 valid-auc:0.753844
[120] train-auc:0.956673 valid-auc:0.753757
[121] train-auc:0.9569 valid-auc:0.753832
[122] train-auc:0.957131 valid-auc:0.753883
[123] train-auc:0.957553 valid-auc:0.753792
[124] train-auc:0.958312 valid-auc:0.753852
[125] train-auc:0.958542 valid-auc:0.753879
[126] train-auc:0.958898 valid-auc:0.753717
[127] train-auc:0.959151 valid-auc:0.75373
[128] train-auc:0.959481 valid-auc:0.753726
[129] train-auc:0.959514 valid-auc:0.753734
[130] train-auc:0.959698 valid-auc:0.753714
[131] train-auc:0.959844 valid-auc:0.753809
[132] train-auc:0.960628 valid-auc:0.753869
[133] train-auc:0.961062 valid-auc:0.753843
[134] train-auc:0.961517 valid-auc:0.753954
[135] train-auc:0.962003 valid-auc:0.753983
[136] train-auc:0.962307 valid-auc:0.754047
[137] train-auc:0.962682 valid-auc:0.75397
[138] train-auc:0.963412 valid-auc:0.754135
[139] train-auc:0.963764 valid-auc:0.754194
[140] train-auc:0.964356 valid-auc:0.754393
[141] train-auc:0.964591 valid-auc:0.754336
[142] train-auc:0.964817 valid-auc:0.754242
[143] train-auc:0.965009 valid-auc:0.754238
[144] train-auc:0.965228 valid-auc:0.75428
[145] train-auc:0.96555 valid-auc:0.754373
[146] train-auc:0.965956 valid-auc:0.754508
[147] train-auc:0.966329 valid-auc:0.754539
[148] train-auc:0.966929 valid-auc:0.754582
[149] train-auc:0.96709 valid-auc:0.754667
[150] train-auc:0.967456 valid-auc:0.754627
[151] train-auc:0.968132 valid-auc:0.754851
[152] train-auc:0.968609 valid-auc:0.754707
[153] train-auc:0.969011 valid-auc:0.754783
[154] train-auc:0.969271 valid-auc:0.754853
[155] train-auc:0.969736 valid-auc:0.754821
[156] train-auc:0.97028 valid-auc:0.754711
[157] train-auc:0.970507 valid-auc:0.754757
[158] train-auc:0.970751 valid-auc:0.754825
[159] train-auc:0.971199 valid-auc:0.75502
[160] train-auc:0.971433 valid-auc:0.755116
[161] train-auc:0.971778 valid-auc:0.755093
[162] train-auc:0.971944 valid-auc:0.755118
[163] train-auc:0.97242 valid-auc:0.755189
[164] train-auc:0.972542 valid-auc:0.755183
[165] train-auc:0.972578 valid-auc:0.755188
[166] train-auc:0.973046 valid-auc:0.755376
[167] train-auc:0.973915 valid-auc:0.755469
[168] train-auc:0.974017 valid-auc:0.75548
[169] train-auc:0.974432 valid-auc:0.755573
[170] train-auc:0.974639 valid-auc:0.755657
[171] train-auc:0.974903 valid-auc:0.75573
[172] train-auc:0.97506 valid-auc:0.75569
[173] train-auc:0.97529 valid-auc:0.755654
[174] train-auc:0.975694 valid-auc:0.75576
[175] train-auc:0.97585 valid-auc:0.7558
[176] train-auc:0.976246 valid-auc:0.755879
[177] train-auc:0.976327 valid-auc:0.755936
[178] train-auc:0.976365 valid-auc:0.755944
[179] train-auc:0.976723 valid-auc:0.755887
[180] train-auc:0.976822 valid-auc:0.755982
[181] train-auc:0.976902 valid-auc:0.755933
[182] train-auc:0.977211 valid-auc:0.756176
[183] train-auc:0.977425 valid-auc:0.756153
[184] train-auc:0.977508 valid-auc:0.756165
[185] train-auc:0.977646 valid-auc:0.756143
[186] train-auc:0.977994 valid-auc:0.756237
[187] train-auc:0.978195 valid-auc:0.756231
[188] train-auc:0.978405 valid-auc:0.756282
[189] train-auc:0.978577 valid-auc:0.756462
[190] train-auc:0.97869 valid-auc:0.756446
[191] train-auc:0.979012 valid-auc:0.756495
[192] train-auc:0.979163 valid-auc:0.756513
[193] train-auc:0.979323 valid-auc:0.756506
[194] train-auc:0.979386 valid-auc:0.756513
[195] train-auc:0.97965 valid-auc:0.75655
[196] train-auc:0.97989 valid-auc:0.756547
[197] train-auc:0.980314 valid-auc:0.756576
[198] train-auc:0.980462 valid-auc:0.756493
[199] train-auc:0.980512 valid-auc:0.756561
[200] train-auc:0.980701 valid-auc:0.75662
[201] train-auc:0.980964 valid-auc:0.756657
[202] train-auc:0.981264 valid-auc:0.756727
[203] train-auc:0.981544 valid-auc:0.756762
[204] train-auc:0.981649 valid-auc:0.756792
[205] train-auc:0.982008 valid-auc:0.7568
[206] train-auc:0.982127 valid-auc:0.756743
[207] train-auc:0.982514 valid-auc:0.756915
[208] train-auc:0.982566 valid-auc:0.756932
[209] train-auc:0.982785 valid-auc:0.757062
[210] train-auc:0.982887 valid-auc:0.75715
[211] train-auc:0.983325 valid-auc:0.757165
[212] train-auc:0.983413 valid-auc:0.75718
[213] train-auc:0.983608 valid-auc:0.757231
[214] train-auc:0.983859 valid-auc:0.757138
[215] train-auc:0.983965 valid-auc:0.757128
[216] train-auc:0.984265 valid-auc:0.757031
[217] train-auc:0.984404 valid-auc:0.756999
[218] train-auc:0.984842 valid-auc:0.757096
[219] train-auc:0.985137 valid-auc:0.757136
[220] train-auc:0.985252 valid-auc:0.757208
[221] train-auc:0.985312 valid-auc:0.757214
[222] train-auc:0.985447 valid-auc:0.757329
[223] train-auc:0.985632 valid-auc:0.757366
[224] train-auc:0.986 valid-auc:0.757346
[225] train-auc:0.986167 valid-auc:0.757481
[226] train-auc:0.986345 valid-auc:0.757616
[227] train-auc:0.986375 valid-auc:0.757596
[228] train-auc:0.986662 valid-auc:0.757621
[229] train-auc:0.986707 valid-auc:0.757682
[230] train-auc:0.986842 valid-auc:0.757748
[231] train-auc:0.987054 valid-auc:0.757782
[232] train-auc:0.987252 valid-auc:0.757812
[233] train-auc:0.987385 valid-auc:0.757724
[234] train-auc:0.987469 valid-auc:0.757855
[235] train-auc:0.987746 valid-auc:0.757877
[236] train-auc:0.988018 valid-auc:0.757724
[237] train-auc:0.988224 valid-auc:0.757765
[238] train-auc:0.988391 valid-auc:0.757734
[239] train-auc:0.988485 valid-auc:0.757685
[240] train-auc:0.988645 valid-auc:0.757699
[241] train-auc:0.988676 valid-auc:0.757716
[242] train-auc:0.988816 valid-auc:0.757729
[243] train-auc:0.98895 valid-auc:0.757734
[244] train-auc:0.989226 valid-auc:0.757618
[245] train-auc:0.989315 valid-auc:0.757597
[246] train-auc:0.989495 valid-auc:0.757619
[247] train-auc:0.989748 valid-auc:0.75759
[248] train-auc:0.990019 valid-auc:0.757677
[249] train-auc:0.990098 valid-auc:0.757616
[250] train-auc:0.990118 valid-auc:0.757639
[251] train-auc:0.990337 valid-auc:0.757662
[252] train-auc:0.990447 valid-auc:0.757703
[253] train-auc:0.990514 valid-auc:0.75775
[254] train-auc:0.990673 valid-auc:0.757708
[255] train-auc:0.990795 valid-auc:0.757818
[256] train-auc:0.990947 valid-auc:0.757816
[257] train-auc:0.99109 valid-auc:0.757773
[258] train-auc:0.991256 valid-auc:0.757762
[259] train-auc:0.991349 valid-auc:0.757729
[260] train-auc:0.991493 valid-auc:0.757722
[261] train-auc:0.991621 valid-auc:0.75771
[262] train-auc:0.991718 valid-auc:0.757681
[263] train-auc:0.991844 valid-auc:0.757718
[264] train-auc:0.991925 valid-auc:0.757762
[265] train-auc:0.992079 valid-auc:0.757902
[266] train-auc:0.99216 valid-auc:0.757863
[267] train-auc:0.992353 valid-auc:0.758079
[268] train-auc:0.992471 valid-auc:0.757995
[269] train-auc:0.992656 valid-auc:0.757972
[270] train-auc:0.992787 valid-auc:0.757922
[271] train-auc:0.992825 valid-auc:0.757891
[272] train-auc:0.992955 valid-auc:0.758115
[273] train-auc:0.993123 valid-auc:0.758166
[274] train-auc:0.993207 valid-auc:0.758267
[275] train-auc:0.993277 valid-auc:0.758348
[276] train-auc:0.993359 valid-auc:0.758396
[277] train-auc:0.993387 valid-auc:0.758382
[278] train-auc:0.993412 valid-auc:0.758354
[279] train-auc:0.993532 valid-auc:0.758316
[280] train-auc:0.993645 valid-auc:0.758322
[281] train-auc:0.99367 valid-auc:0.75833
[282] train-auc:0.993796 valid-auc:0.758382
[283] train-auc:0.993934 valid-auc:0.758579
[284] train-auc:0.993986 valid-auc:0.758517
[285] train-auc:0.994041 valid-auc:0.758531
[286] train-auc:0.994213 valid-auc:0.758583
[287] train-auc:0.994279 valid-auc:0.758601
[288] train-auc:0.994395 valid-auc:0.758513
[289] train-auc:0.994498 valid-auc:0.75851
[290] train-auc:0.994553 valid-auc:0.758583
[291] train-auc:0.99465 valid-auc:0.758521
[292] train-auc:0.994709 valid-auc:0.758595
[293] train-auc:0.994755 valid-auc:0.758601
[294] train-auc:0.994794 valid-auc:0.758677
[295] train-auc:0.994888 valid-auc:0.758655
[296] train-auc:0.994982 valid-auc:0.758707
[297] train-auc:0.995051 valid-auc:0.758848
[298] train-auc:0.995062 valid-auc:0.75883
[299] train-auc:0.99514 valid-auc:0.75891
[300] train-auc:0.995204 valid-auc:0.758968
[301] train-auc:0.995287 valid-auc:0.758954
[302] train-auc:0.995336 valid-auc:0.759062
[303] train-auc:0.995447 valid-auc:0.758976
[304] train-auc:0.995489 valid-auc:0.758969
[305] train-auc:0.995527 valid-auc:0.758971
[306] train-auc:0.995562 valid-auc:0.75894
[307] train-auc:0.995655 valid-auc:0.759045
[308] train-auc:0.995714 valid-auc:0.759047
[309] train-auc:0.995772 valid-auc:0.759031
[310] train-auc:0.995853 valid-auc:0.758958
[311] train-auc:0.995925 valid-auc:0.759013
[312] train-auc:0.995929 valid-auc:0.75904
[313] train-auc:0.995975 valid-auc:0.759081
[314] train-auc:0.996011 valid-auc:0.759078
[315] train-auc:0.996066 valid-auc:0.759144
[316] train-auc:0.996079 valid-auc:0.759091
[317] train-auc:0.9961 valid-auc:0.759157
[318] train-auc:0.996148 valid-auc:0.759112
[319] train-auc:0.996212 valid-auc:0.759115
[320] train-auc:0.996286 valid-auc:0.759053
[321] train-auc:0.996341 valid-auc:0.759032
[322] train-auc:0.996439 valid-auc:0.759061
[323] train-auc:0.996487 valid-auc:0.759122
[324] train-auc:0.996526 valid-auc:0.759225
[325] train-auc:0.996588 valid-auc:0.759103
[326] train-auc:0.996667 valid-auc:0.75903
[327] train-auc:0.996705 valid-auc:0.759076
[328] train-auc:0.996745 valid-auc:0.759064
[329] train-auc:0.996825 valid-auc:0.758987
[330] train-auc:0.996889 valid-auc:0.758986
[331] train-auc:0.9969 valid-auc:0.758953
[332] train-auc:0.996941 valid-auc:0.759002
[333] train-auc:0.99699 valid-auc:0.758962
[334] train-auc:0.997039 valid-auc:0.759054
[335] train-auc:0.997078 valid-auc:0.759107
[336] train-auc:0.997113 valid-auc:0.759086
[337] train-auc:0.997117 valid-auc:0.759082
[338] train-auc:0.997213 valid-auc:0.758984
[339] train-auc:0.997238 valid-auc:0.759016
[340] train-auc:0.997303 valid-auc:0.759105
[341] train-auc:0.997367 valid-auc:0.759118
[342] train-auc:0.997387 valid-auc:0.759136
[343] train-auc:0.997444 valid-auc:0.759158
[344] train-auc:0.997458 valid-auc:0.759175
[345] train-auc:0.997502 valid-auc:0.759185
[346] train-auc:0.997543 valid-auc:0.759232
[347] train-auc:0.997567 valid-auc:0.759263
[348] train-auc:0.997598 valid-auc:0.759274
[349] train-auc:0.99764 valid-auc:0.759247
[350] train-auc:0.997668 valid-auc:0.759161
[351] train-auc:0.997687 valid-auc:0.759221
[352] train-auc:0.997721 valid-auc:0.759225
[353] train-auc:0.997747 valid-auc:0.759193
[354] train-auc:0.997795 valid-auc:0.759436
[355] train-auc:0.997813 valid-auc:0.759527
[356] train-auc:0.997849 valid-auc:0.759645
[357] train-auc:0.997866 valid-auc:0.759737
[358] train-auc:0.997895 valid-auc:0.759646
[359] train-auc:0.997921 valid-auc:0.759577
[360] train-auc:0.997939 valid-auc:0.759516
[361] train-auc:0.997947 valid-auc:0.75957
[362] train-auc:0.998028 valid-auc:0.759468
[363] train-auc:0.998041 valid-auc:0.759526
[364] train-auc:0.998066 valid-auc:0.759639
[365] train-auc:0.998117 valid-auc:0.75955
[366] train-auc:0.998155 valid-auc:0.759576
[367] train-auc:0.998163 valid-auc:0.759604
[368] train-auc:0.998211 valid-auc:0.759588
[369] train-auc:0.998231 valid-auc:0.759589
[370] train-auc:0.998253 valid-auc:0.75959
[371] train-auc:0.998269 valid-auc:0.75961
[372] train-auc:0.998297 valid-auc:0.759664
[373] train-auc:0.998323 valid-auc:0.759737
[374] train-auc:0.998349 valid-auc:0.759747
[375] train-auc:0.998367 valid-auc:0.759794
[376] train-auc:0.998402 valid-auc:0.759741
[377] train-auc:0.998436 valid-auc:0.759731
[378] train-auc:0.998443 valid-auc:0.759737
[379] train-auc:0.99848 valid-auc:0.759636
[380] train-auc:0.998495 valid-auc:0.759622
[381] train-auc:0.998511 valid-auc:0.759727
[382] train-auc:0.998548 valid-auc:0.759759
[383] train-auc:0.998567 valid-auc:0.759712
[384] train-auc:0.998596 valid-auc:0.759678
[385] train-auc:0.998626 valid-auc:0.759787
[386] train-auc:0.99865 valid-auc:0.759706
[387] train-auc:0.998662 valid-auc:0.759657
[388] train-auc:0.998684 valid-auc:0.759658
[389] train-auc:0.998694 valid-auc:0.759554
[390] train-auc:0.998719 valid-auc:0.759548
[391] train-auc:0.998727 valid-auc:0.759574
[392] train-auc:0.998746 valid-auc:0.75964
[393] train-auc:0.998756 valid-auc:0.75965
[394] train-auc:0.998777 valid-auc:0.759803
[395] train-auc:0.998796 valid-auc:0.759763
[396] train-auc:0.998816 valid-auc:0.759878
[397] train-auc:0.998825 valid-auc:0.759928
[398] train-auc:0.998842 valid-auc:0.759933
[399] train-auc:0.998882 valid-auc:0.759931
[400] train-auc:0.998891 valid-auc:0.759969
[401] train-auc:0.998905 valid-auc:0.759899
[402] train-auc:0.998919 valid-auc:0.759882
[403] train-auc:0.998937 valid-auc:0.759806
[404] train-auc:0.998939 valid-auc:0.759788
[405] train-auc:0.998956 valid-auc:0.759887
[406] train-auc:0.998963 valid-auc:0.759877
[407] train-auc:0.998983 valid-auc:0.759778
[408] train-auc:0.998994 valid-auc:0.75979
[409] train-auc:0.999016 valid-auc:0.759919
[410] train-auc:0.999027 valid-auc:0.760023
[411] train-auc:0.999049 valid-auc:0.760034
[412] train-auc:0.999068 valid-auc:0.760075
[413] train-auc:0.999089 valid-auc:0.760157
[414] train-auc:0.99912 valid-auc:0.7601
[415] train-auc:0.999135 valid-auc:0.76003
[416] train-auc:0.999151 valid-auc:0.759935
[417] train-auc:0.999162 valid-auc:0.76
[418] train-auc:0.99917 valid-auc:0.760009
[419] train-auc:0.999184 valid-auc:0.759899
[420] train-auc:0.99921 valid-auc:0.759897
[421] train-auc:0.999227 valid-auc:0.759932
[422] train-auc:0.999245 valid-auc:0.759901
[423] train-auc:0.999252 valid-auc:0.759847
[424] train-auc:0.999273 valid-auc:0.75969
[425] train-auc:0.999292 valid-auc:0.759689
[426] train-auc:0.999294 valid-auc:0.759677
[427] train-auc:0.999298 valid-auc:0.759649
[428] train-auc:0.999299 valid-auc:0.759675
[429] train-auc:0.999315 valid-auc:0.759708
[430] train-auc:0.999342 valid-auc:0.759866
[431] train-auc:0.999348 valid-auc:0.759887
[432] train-auc:0.999371 valid-auc:0.759743
[433] train-auc:0.999375 valid-auc:0.759703
[434] train-auc:0.999387 valid-auc:0.759593
[435] train-auc:0.999403 valid-auc:0.759658
[436] train-auc:0.999408 valid-auc:0.759621
[437] train-auc:0.999416 valid-auc:0.759646
[438] train-auc:0.999422 valid-auc:0.75966
[439] train-auc:0.999435 valid-auc:0.759669
[440] train-auc:0.999436 valid-auc:0.759686
[441] train-auc:0.999445 valid-auc:0.759693
[442] train-auc:0.999453 valid-auc:0.759628
[443] train-auc:0.999463 valid-auc:0.759647
[444] train-auc:0.999478 valid-auc:0.759619
[445] train-auc:0.999485 valid-auc:0.759551
[446] train-auc:0.999499 valid-auc:0.759564
[447] train-auc:0.999509 valid-auc:0.759578
[448] train-auc:0.999517 valid-auc:0.759673
[449] train-auc:0.999518 valid-auc:0.759652
[450] train-auc:0.999532 valid-auc:0.759632
[451] train-auc:0.999535 valid-auc:0.759615
[452] train-auc:0.999545 valid-auc:0.759682
[453] train-auc:0.999552 valid-auc:0.759669
[454] train-auc:0.999557 valid-auc:0.75966
[455] train-auc:0.99956 valid-auc:0.759645
[456] train-auc:0.999561 valid-auc:0.759676
[457] train-auc:0.999571 valid-auc:0.759689
[458] train-auc:0.999583 valid-auc:0.759682
[459] train-auc:0.999594 valid-auc:0.759665
[460] train-auc:0.999599 valid-auc:0.759641
[461] train-auc:0.999613 valid-auc:0.759808
[462] train-auc:0.999619 valid-auc:0.759854
[463] train-auc:0.999632 valid-auc:0.759892
Stopping. Best iteration:
[413] train-auc:0.999089 valid-auc:0.760157
[mlcrate] Finished training fold 3 - took 4m28s - running score 0.76004125
[mlcrate] Running fold 4, 62697 train samples, 10450 validation samples
[0] train-auc:0.798471 valid-auc:0.708554
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.82339 valid-auc:0.729928
[2] train-auc:0.83258 valid-auc:0.735677
[3] train-auc:0.838973 valid-auc:0.740736
[4] train-auc:0.844507 valid-auc:0.742084
[5] train-auc:0.847193 valid-auc:0.742758
[6] train-auc:0.850035 valid-auc:0.743681
[7] train-auc:0.852035 valid-auc:0.744777
[8] train-auc:0.854245 valid-auc:0.746201
[9] train-auc:0.856829 valid-auc:0.746442
[10] train-auc:0.859531 valid-auc:0.746518
[11] train-auc:0.861683 valid-auc:0.746645
[12] train-auc:0.863944 valid-auc:0.747475
[13] train-auc:0.866024 valid-auc:0.748248
[14] train-auc:0.86776 valid-auc:0.749121
[15] train-auc:0.869926 valid-auc:0.749704
[16] train-auc:0.871568 valid-auc:0.749778
[17] train-auc:0.873254 valid-auc:0.749975
[18] train-auc:0.875148 valid-auc:0.750162
[19] train-auc:0.876922 valid-auc:0.750461
[20] train-auc:0.878663 valid-auc:0.750459
[21] train-auc:0.88011 valid-auc:0.750585
[22] train-auc:0.881551 valid-auc:0.750984
[23] train-auc:0.882751 valid-auc:0.751497
[24] train-auc:0.884141 valid-auc:0.751907
[25] train-auc:0.88599 valid-auc:0.752107
[26] train-auc:0.887793 valid-auc:0.752461
[27] train-auc:0.889361 valid-auc:0.752905
[28] train-auc:0.890753 valid-auc:0.752988
[29] train-auc:0.891865 valid-auc:0.753205
[30] train-auc:0.893351 valid-auc:0.753324
[31] train-auc:0.894605 valid-auc:0.75334
[32] train-auc:0.895745 valid-auc:0.753411
[33] train-auc:0.896961 valid-auc:0.753543
[34] train-auc:0.898189 valid-auc:0.753995
[35] train-auc:0.899502 valid-auc:0.754068
[36] train-auc:0.900753 valid-auc:0.754404
[37] train-auc:0.901524 valid-auc:0.754512
[38] train-auc:0.902781 valid-auc:0.754796
[39] train-auc:0.903722 valid-auc:0.754825
[40] train-auc:0.905281 valid-auc:0.755069
[41] train-auc:0.906539 valid-auc:0.755144
[42] train-auc:0.907502 valid-auc:0.755417
[43] train-auc:0.908997 valid-auc:0.755776
[44] train-auc:0.909835 valid-auc:0.755808
[45] train-auc:0.911091 valid-auc:0.755966
[46] train-auc:0.912162 valid-auc:0.755887
[47] train-auc:0.913009 valid-auc:0.755945
[48] train-auc:0.914184 valid-auc:0.756024
[49] train-auc:0.915051 valid-auc:0.756107
[50] train-auc:0.915875 valid-auc:0.756255
[51] train-auc:0.91677 valid-auc:0.756442
[52] train-auc:0.917652 valid-auc:0.756658
[53] train-auc:0.918427 valid-auc:0.756699
[54] train-auc:0.919362 valid-auc:0.756988
[55] train-auc:0.919909 valid-auc:0.757033
[56] train-auc:0.920493 valid-auc:0.757268
[57] train-auc:0.921096 valid-auc:0.757232
[58] train-auc:0.921959 valid-auc:0.757331
[59] train-auc:0.923074 valid-auc:0.757304
[60] train-auc:0.923548 valid-auc:0.757185
[61] train-auc:0.924249 valid-auc:0.757391
[62] train-auc:0.924693 valid-auc:0.757554
[63] train-auc:0.925412 valid-auc:0.75777
[64] train-auc:0.926281 valid-auc:0.758002
[65] train-auc:0.926995 valid-auc:0.758295
[66] train-auc:0.927682 valid-auc:0.758603
[67] train-auc:0.928622 valid-auc:0.758764
[68] train-auc:0.929796 valid-auc:0.758951
[69] train-auc:0.930254 valid-auc:0.758906
[70] train-auc:0.93131 valid-auc:0.759132
[71] train-auc:0.932514 valid-auc:0.759303
[72] train-auc:0.933738 valid-auc:0.759704
[73] train-auc:0.934922 valid-auc:0.759859
[74] train-auc:0.935066 valid-auc:0.760029
[75] train-auc:0.935444 valid-auc:0.760296
[76] train-auc:0.936068 valid-auc:0.760265
[77] train-auc:0.936522 valid-auc:0.760279
[78] train-auc:0.937198 valid-auc:0.760449
[79] train-auc:0.937606 valid-auc:0.760502
[80] train-auc:0.938404 valid-auc:0.760745
[81] train-auc:0.939088 valid-auc:0.761015
[82] train-auc:0.939694 valid-auc:0.760986
[83] train-auc:0.940404 valid-auc:0.760874
[84] train-auc:0.941343 valid-auc:0.761272
[85] train-auc:0.941994 valid-auc:0.761354
[86] train-auc:0.942469 valid-auc:0.761308
[87] train-auc:0.942969 valid-auc:0.761386
[88] train-auc:0.943454 valid-auc:0.761388
[89] train-auc:0.944306 valid-auc:0.761422
[90] train-auc:0.944684 valid-auc:0.761499
[91] train-auc:0.944985 valid-auc:0.761581
[92] train-auc:0.94536 valid-auc:0.761653
[93] train-auc:0.946047 valid-auc:0.761532
[94] train-auc:0.946731 valid-auc:0.761548
[95] train-auc:0.947003 valid-auc:0.761488
[96] train-auc:0.947806 valid-auc:0.761534
[97] train-auc:0.948761 valid-auc:0.761591
[98] train-auc:0.949327 valid-auc:0.761584
[99] train-auc:0.949402 valid-auc:0.761566
[100] train-auc:0.950116 valid-auc:0.761788
[101] train-auc:0.950574 valid-auc:0.761959
[102] train-auc:0.951233 valid-auc:0.761979
[103] train-auc:0.951566 valid-auc:0.762015
[104] train-auc:0.95225 valid-auc:0.762061
[105] train-auc:0.95272 valid-auc:0.762172
[106] train-auc:0.952961 valid-auc:0.762194
[107] train-auc:0.953713 valid-auc:0.762501
[108] train-auc:0.953926 valid-auc:0.762543
[109] train-auc:0.95433 valid-auc:0.762643
[110] train-auc:0.955074 valid-auc:0.762932
[111] train-auc:0.955351 valid-auc:0.763124
[112] train-auc:0.955714 valid-auc:0.763175
[113] train-auc:0.956072 valid-auc:0.763362
[114] train-auc:0.956218 valid-auc:0.763454
[115] train-auc:0.956826 valid-auc:0.76356
[116] train-auc:0.957611 valid-auc:0.763995
[117] train-auc:0.958047 valid-auc:0.763931
[118] train-auc:0.958638 valid-auc:0.763929
[119] train-auc:0.959038 valid-auc:0.763992
[120] train-auc:0.959396 valid-auc:0.764097
[121] train-auc:0.959715 valid-auc:0.76431
[122] train-auc:0.95992 valid-auc:0.764284
[123] train-auc:0.960225 valid-auc:0.764387
[124] train-auc:0.960554 valid-auc:0.764424
[125] train-auc:0.96082 valid-auc:0.764463
[126] train-auc:0.961375 valid-auc:0.76446
[127] train-auc:0.961521 valid-auc:0.76446
[128] train-auc:0.962229 valid-auc:0.764769
[129] train-auc:0.962856 valid-auc:0.764881
[130] train-auc:0.963003 valid-auc:0.765028
[131] train-auc:0.963384 valid-auc:0.765018
[132] train-auc:0.963828 valid-auc:0.765042
[133] train-auc:0.964201 valid-auc:0.765096
[134] train-auc:0.9644 valid-auc:0.765094
[135] train-auc:0.964575 valid-auc:0.7651
[136] train-auc:0.965102 valid-auc:0.7653
[137] train-auc:0.965602 valid-auc:0.765395
[138] train-auc:0.965766 valid-auc:0.765368
[139] train-auc:0.966448 valid-auc:0.765367
[140] train-auc:0.966735 valid-auc:0.765465
[141] train-auc:0.967092 valid-auc:0.765465
[142] train-auc:0.967951 valid-auc:0.765275
[143] train-auc:0.968192 valid-auc:0.765253
[144] train-auc:0.968745 valid-auc:0.765262
[145] train-auc:0.968966 valid-auc:0.765284
[146] train-auc:0.969691 valid-auc:0.76543
[147] train-auc:0.969844 valid-auc:0.765468
[148] train-auc:0.970287 valid-auc:0.76527
[149] train-auc:0.971064 valid-auc:0.765406
[150] train-auc:0.971153 valid-auc:0.765397
[151] train-auc:0.971611 valid-auc:0.765432
[152] train-auc:0.972057 valid-auc:0.765562
[153] train-auc:0.972368 valid-auc:0.76554
[154] train-auc:0.972629 valid-auc:0.7656
[155] train-auc:0.97286 valid-auc:0.765764
[156] train-auc:0.973076 valid-auc:0.765653
[157] train-auc:0.973222 valid-auc:0.76558
[158] train-auc:0.973346 valid-auc:0.765668
[159] train-auc:0.973559 valid-auc:0.765772
[160] train-auc:0.973914 valid-auc:0.765767
[161] train-auc:0.973984 valid-auc:0.765779
[162] train-auc:0.974108 valid-auc:0.765779
[163] train-auc:0.974347 valid-auc:0.765766
[164] train-auc:0.974499 valid-auc:0.765887
[165] train-auc:0.97496 valid-auc:0.766172
[166] train-auc:0.975262 valid-auc:0.766337
[167] train-auc:0.975412 valid-auc:0.766331
[168] train-auc:0.975917 valid-auc:0.766307
[169] train-auc:0.976209 valid-auc:0.766298
[170] train-auc:0.976526 valid-auc:0.766313
[171] train-auc:0.976696 valid-auc:0.766342
[172] train-auc:0.97688 valid-auc:0.766267
[173] train-auc:0.976987 valid-auc:0.766244
[174] train-auc:0.977371 valid-auc:0.766356
[175] train-auc:0.977694 valid-auc:0.766476
[176] train-auc:0.977985 valid-auc:0.766753
[177] train-auc:0.978242 valid-auc:0.766828
[178] train-auc:0.978396 valid-auc:0.76684
[179] train-auc:0.978592 valid-auc:0.766835
[180] train-auc:0.978851 valid-auc:0.766799
[181] train-auc:0.979135 valid-auc:0.766739
[182] train-auc:0.979195 valid-auc:0.766752
[183] train-auc:0.979386 valid-auc:0.766708
[184] train-auc:0.979539 valid-auc:0.76678
[185] train-auc:0.979688 valid-auc:0.76679
[186] train-auc:0.979941 valid-auc:0.766786
[187] train-auc:0.980172 valid-auc:0.766822
[188] train-auc:0.980341 valid-auc:0.766851
[189] train-auc:0.980604 valid-auc:0.766851
[190] train-auc:0.98106 valid-auc:0.766747
[191] train-auc:0.981182 valid-auc:0.766732
[192] train-auc:0.981367 valid-auc:0.766632
[193] train-auc:0.98166 valid-auc:0.766619
[194] train-auc:0.981921 valid-auc:0.766595
[195] train-auc:0.982015 valid-auc:0.766516
[196] train-auc:0.982165 valid-auc:0.766676
[197] train-auc:0.982482 valid-auc:0.766731
[198] train-auc:0.982688 valid-auc:0.766641
[199] train-auc:0.983071 valid-auc:0.766732
[200] train-auc:0.983349 valid-auc:0.766669
[201] train-auc:0.983546 valid-auc:0.766678
[202] train-auc:0.98362 valid-auc:0.766589
[203] train-auc:0.983874 valid-auc:0.766571
[204] train-auc:0.983931 valid-auc:0.766537
[205] train-auc:0.984046 valid-auc:0.766546
[206] train-auc:0.984276 valid-auc:0.766637
[207] train-auc:0.984761 valid-auc:0.766588
[208] train-auc:0.984777 valid-auc:0.766566
[209] train-auc:0.985285 valid-auc:0.766398
[210] train-auc:0.985444 valid-auc:0.766471
[211] train-auc:0.985707 valid-auc:0.766513
[212] train-auc:0.985955 valid-auc:0.766431
[213] train-auc:0.986176 valid-auc:0.766437
[214] train-auc:0.986347 valid-auc:0.766454
[215] train-auc:0.986485 valid-auc:0.766441
[216] train-auc:0.986733 valid-auc:0.766649
[217] train-auc:0.986776 valid-auc:0.766643
[218] train-auc:0.986971 valid-auc:0.766597
[219] train-auc:0.987102 valid-auc:0.766697
[220] train-auc:0.9873 valid-auc:0.766667
[221] train-auc:0.987366 valid-auc:0.76676
[222] train-auc:0.987689 valid-auc:0.766721
[223] train-auc:0.987753 valid-auc:0.766695
[224] train-auc:0.98778 valid-auc:0.766739
[225] train-auc:0.987926 valid-auc:0.766801
[226] train-auc:0.988132 valid-auc:0.766895
[227] train-auc:0.988163 valid-auc:0.766909
[228] train-auc:0.988397 valid-auc:0.766883
[229] train-auc:0.98855 valid-auc:0.766911
[230] train-auc:0.988687 valid-auc:0.766969
[231] train-auc:0.988795 valid-auc:0.766928
[232] train-auc:0.988983 valid-auc:0.767041
[233] train-auc:0.989242 valid-auc:0.766987
[234] train-auc:0.989277 valid-auc:0.76702
[235] train-auc:0.989501 valid-auc:0.76712
[236] train-auc:0.989752 valid-auc:0.767083
[237] train-auc:0.989851 valid-auc:0.766983
[238] train-auc:0.989894 valid-auc:0.766959
[239] train-auc:0.989933 valid-auc:0.766973
[240] train-auc:0.990032 valid-auc:0.766956
[241] train-auc:0.990177 valid-auc:0.76698
[242] train-auc:0.990269 valid-auc:0.767065
[243] train-auc:0.990391 valid-auc:0.767195
[244] train-auc:0.99049 valid-auc:0.767203
[245] train-auc:0.990643 valid-auc:0.767103
[246] train-auc:0.990849 valid-auc:0.766923
[247] train-auc:0.990916 valid-auc:0.766859
[248] train-auc:0.990974 valid-auc:0.766818
[249] train-auc:0.99118 valid-auc:0.766872
[250] train-auc:0.991286 valid-auc:0.766821
[251] train-auc:0.991333 valid-auc:0.766845
[252] train-auc:0.991472 valid-auc:0.766765
[253] train-auc:0.991649 valid-auc:0.766657
[254] train-auc:0.991837 valid-auc:0.76663
[255] train-auc:0.991861 valid-auc:0.766681
[256] train-auc:0.992002 valid-auc:0.766587
[257] train-auc:0.992125 valid-auc:0.766679
[258] train-auc:0.992242 valid-auc:0.766713
[259] train-auc:0.992327 valid-auc:0.766665
[260] train-auc:0.992426 valid-auc:0.76667
[261] train-auc:0.992514 valid-auc:0.766662
[262] train-auc:0.992729 valid-auc:0.766701
[263] train-auc:0.992803 valid-auc:0.766681
[264] train-auc:0.99289 valid-auc:0.766618
[265] train-auc:0.993024 valid-auc:0.76665
[266] train-auc:0.993126 valid-auc:0.766686
[267] train-auc:0.993181 valid-auc:0.766731
[268] train-auc:0.993344 valid-auc:0.766917
[269] train-auc:0.993469 valid-auc:0.766981
[270] train-auc:0.993498 valid-auc:0.766966
[271] train-auc:0.993585 valid-auc:0.767017
[272] train-auc:0.993663 valid-auc:0.767047
[273] train-auc:0.993703 valid-auc:0.767136
[274] train-auc:0.993793 valid-auc:0.767111
[275] train-auc:0.993886 valid-auc:0.767142
[276] train-auc:0.994045 valid-auc:0.767166
[277] train-auc:0.994119 valid-auc:0.767065
[278] train-auc:0.994176 valid-auc:0.767194
[279] train-auc:0.994242 valid-auc:0.767229
[280] train-auc:0.994399 valid-auc:0.76717
[281] train-auc:0.994463 valid-auc:0.767103
[282] train-auc:0.994483 valid-auc:0.767148
[283] train-auc:0.994535 valid-auc:0.767125
[284] train-auc:0.994572 valid-auc:0.767158
[285] train-auc:0.994619 valid-auc:0.767177
[286] train-auc:0.994636 valid-auc:0.767161
[287] train-auc:0.994737 valid-auc:0.76721
[288] train-auc:0.994802 valid-auc:0.767206
[289] train-auc:0.99492 valid-auc:0.767241
[290] train-auc:0.995016 valid-auc:0.767323
[291] train-auc:0.995127 valid-auc:0.767405
[292] train-auc:0.99527 valid-auc:0.767378
[293] train-auc:0.995356 valid-auc:0.767385
[294] train-auc:0.995439 valid-auc:0.767314
[295] train-auc:0.995535 valid-auc:0.767293
[296] train-auc:0.995606 valid-auc:0.767367
[297] train-auc:0.995646 valid-auc:0.767334
[298] train-auc:0.995685 valid-auc:0.767352
[299] train-auc:0.995732 valid-auc:0.767484
[300] train-auc:0.995766 valid-auc:0.767539
[301] train-auc:0.995841 valid-auc:0.767658
[302] train-auc:0.995881 valid-auc:0.767679
[303] train-auc:0.995905 valid-auc:0.76767
[304] train-auc:0.995949 valid-auc:0.767693
[305] train-auc:0.996005 valid-auc:0.767716
[306] train-auc:0.996078 valid-auc:0.767656
[307] train-auc:0.996116 valid-auc:0.767662
[308] train-auc:0.996204 valid-auc:0.767588
[309] train-auc:0.996292 valid-auc:0.767613
[310] train-auc:0.996335 valid-auc:0.76759
[311] train-auc:0.996408 valid-auc:0.767491
[312] train-auc:0.996467 valid-auc:0.767527
[313] train-auc:0.996554 valid-auc:0.767438
[314] train-auc:0.996565 valid-auc:0.767417
[315] train-auc:0.996621 valid-auc:0.767496
[316] train-auc:0.996639 valid-auc:0.767521
[317] train-auc:0.996668 valid-auc:0.767476
[318] train-auc:0.996681 valid-auc:0.767564
[319] train-auc:0.996709 valid-auc:0.767628
[320] train-auc:0.996759 valid-auc:0.767565
[321] train-auc:0.996775 valid-auc:0.767532
[322] train-auc:0.996814 valid-auc:0.767552
[323] train-auc:0.996859 valid-auc:0.767499
[324] train-auc:0.996905 valid-auc:0.767458
[325] train-auc:0.996945 valid-auc:0.767454
[326] train-auc:0.996983 valid-auc:0.767444
[327] train-auc:0.997013 valid-auc:0.767501
[328] train-auc:0.997082 valid-auc:0.767451
[329] train-auc:0.9971 valid-auc:0.767547
[330] train-auc:0.997106 valid-auc:0.767556
[331] train-auc:0.997127 valid-auc:0.767591
[332] train-auc:0.997172 valid-auc:0.767527
[333] train-auc:0.997193 valid-auc:0.767537
[334] train-auc:0.997256 valid-auc:0.767458
[335] train-auc:0.997264 valid-auc:0.767496
[336] train-auc:0.997283 valid-auc:0.767613
[337] train-auc:0.997307 valid-auc:0.767642
[338] train-auc:0.997347 valid-auc:0.767664
[339] train-auc:0.997413 valid-auc:0.767616
[340] train-auc:0.997447 valid-auc:0.767607
[341] train-auc:0.997546 valid-auc:0.767317
[342] train-auc:0.997621 valid-auc:0.767369
[343] train-auc:0.997653 valid-auc:0.767448
[344] train-auc:0.997687 valid-auc:0.767472
[345] train-auc:0.997719 valid-auc:0.767451
[346] train-auc:0.997744 valid-auc:0.767458
[347] train-auc:0.997787 valid-auc:0.767445
[348] train-auc:0.997809 valid-auc:0.76743
[349] train-auc:0.997826 valid-auc:0.76738
[350] train-auc:0.997837 valid-auc:0.767345
[351] train-auc:0.997867 valid-auc:0.767248
[352] train-auc:0.997934 valid-auc:0.767365
[353] train-auc:0.997972 valid-auc:0.767427
[354] train-auc:0.997995 valid-auc:0.767445
[355] train-auc:0.99802 valid-auc:0.767446
Stopping. Best iteration:
[305] train-auc:0.996005 valid-auc:0.767716
[mlcrate] Finished training fold 4 - took 3m30s - running score 0.7615762
[mlcrate] Running fold 5, 62698 train samples, 10449 validation samples
[0] train-auc:0.805118 valid-auc:0.711957
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.824769 valid-auc:0.729181
[2] train-auc:0.83472 valid-auc:0.731418
[3] train-auc:0.841087 valid-auc:0.732713
[4] train-auc:0.845819 valid-auc:0.734643
[5] train-auc:0.851232 valid-auc:0.736121
[6] train-auc:0.853899 valid-auc:0.737592
[7] train-auc:0.856583 valid-auc:0.73841
[8] train-auc:0.858458 valid-auc:0.738622
[9] train-auc:0.860388 valid-auc:0.739144
[10] train-auc:0.861764 valid-auc:0.73927
[11] train-auc:0.86364 valid-auc:0.740237
[12] train-auc:0.865614 valid-auc:0.741065
[13] train-auc:0.86742 valid-auc:0.741786
[14] train-auc:0.869578 valid-auc:0.741558
[15] train-auc:0.871112 valid-auc:0.742342
[16] train-auc:0.872192 valid-auc:0.742356
[17] train-auc:0.873826 valid-auc:0.742787
[18] train-auc:0.875706 valid-auc:0.743308
[19] train-auc:0.877304 valid-auc:0.74299
[20] train-auc:0.878686 valid-auc:0.743564
[21] train-auc:0.880118 valid-auc:0.743595
[22] train-auc:0.88143 valid-auc:0.74407
[23] train-auc:0.882946 valid-auc:0.744373
[24] train-auc:0.884778 valid-auc:0.744699
[25] train-auc:0.885898 valid-auc:0.74444
[26] train-auc:0.887124 valid-auc:0.744375
[27] train-auc:0.888609 valid-auc:0.744631
[28] train-auc:0.889836 valid-auc:0.744596
[29] train-auc:0.891283 valid-auc:0.744873
[30] train-auc:0.89239 valid-auc:0.745274
[31] train-auc:0.893811 valid-auc:0.745514
[32] train-auc:0.895208 valid-auc:0.745662
[33] train-auc:0.896982 valid-auc:0.745815
[34] train-auc:0.898421 valid-auc:0.745905
[35] train-auc:0.899745 valid-auc:0.745802
[36] train-auc:0.900568 valid-auc:0.746091
[37] train-auc:0.901592 valid-auc:0.746103
[38] train-auc:0.902811 valid-auc:0.746
[39] train-auc:0.903576 valid-auc:0.746118
[40] train-auc:0.904725 valid-auc:0.746165
[41] train-auc:0.905897 valid-auc:0.745929
[42] train-auc:0.906881 valid-auc:0.74601
[43] train-auc:0.907859 valid-auc:0.74638
[44] train-auc:0.908952 valid-auc:0.746767
[45] train-auc:0.910242 valid-auc:0.746757
[46] train-auc:0.911377 valid-auc:0.746896
[47] train-auc:0.912453 valid-auc:0.746993
[48] train-auc:0.913246 valid-auc:0.746998
[49] train-auc:0.913945 valid-auc:0.747215
[50] train-auc:0.91478 valid-auc:0.747324
[51] train-auc:0.91537 valid-auc:0.747414
[52] train-auc:0.916096 valid-auc:0.747454
[53] train-auc:0.917476 valid-auc:0.747978
[54] train-auc:0.91858 valid-auc:0.748535
[55] train-auc:0.919489 valid-auc:0.748546
[56] train-auc:0.920878 valid-auc:0.748544
[57] train-auc:0.92134 valid-auc:0.7484
[58] train-auc:0.92208 valid-auc:0.748484
[59] train-auc:0.922961 valid-auc:0.748626
[60] train-auc:0.923948 valid-auc:0.748647
[61] train-auc:0.924646 valid-auc:0.748629
[62] train-auc:0.925679 valid-auc:0.748774
[63] train-auc:0.926411 valid-auc:0.748778
[64] train-auc:0.927028 valid-auc:0.748841
[65] train-auc:0.928048 valid-auc:0.748903
[66] train-auc:0.929473 valid-auc:0.749175
[67] train-auc:0.930481 valid-auc:0.74929
[68] train-auc:0.931152 valid-auc:0.74938
[69] train-auc:0.931585 valid-auc:0.749386
[70] train-auc:0.931933 valid-auc:0.749432
[71] train-auc:0.932857 valid-auc:0.749493
[72] train-auc:0.933333 valid-auc:0.749578
[73] train-auc:0.934193 valid-auc:0.749682
[74] train-auc:0.935022 valid-auc:0.749929
[75] train-auc:0.935379 valid-auc:0.749955
[76] train-auc:0.936104 valid-auc:0.750028
[77] train-auc:0.936567 valid-auc:0.749927
[78] train-auc:0.93673 valid-auc:0.750003
[79] train-auc:0.937465 valid-auc:0.750207
[80] train-auc:0.937951 valid-auc:0.750449
[81] train-auc:0.938318 valid-auc:0.750347
[82] train-auc:0.938873 valid-auc:0.750386
[83] train-auc:0.939624 valid-auc:0.750364
[84] train-auc:0.940137 valid-auc:0.750471
[85] train-auc:0.940841 valid-auc:0.750436
[86] train-auc:0.941785 valid-auc:0.750459
[87] train-auc:0.942024 valid-auc:0.750433
[88] train-auc:0.942625 valid-auc:0.750318
[89] train-auc:0.943552 valid-auc:0.750404
[90] train-auc:0.94394 valid-auc:0.750382
[91] train-auc:0.944253 valid-auc:0.750284
[92] train-auc:0.944431 valid-auc:0.750444
[93] train-auc:0.944967 valid-auc:0.750426
[94] train-auc:0.946193 valid-auc:0.750876
[95] train-auc:0.946742 valid-auc:0.750892
[96] train-auc:0.947206 valid-auc:0.750935
[97] train-auc:0.947508 valid-auc:0.75099
[98] train-auc:0.948669 valid-auc:0.750876
[99] train-auc:0.949261 valid-auc:0.751125
[100] train-auc:0.949711 valid-auc:0.751043
[101] train-auc:0.950053 valid-auc:0.750961
[102] train-auc:0.950617 valid-auc:0.751117
[103] train-auc:0.950927 valid-auc:0.75112
[104] train-auc:0.951603 valid-auc:0.751086
[105] train-auc:0.952036 valid-auc:0.751219
[106] train-auc:0.952256 valid-auc:0.751353
[107] train-auc:0.952386 valid-auc:0.751418
[108] train-auc:0.952823 valid-auc:0.751465
[109] train-auc:0.953476 valid-auc:0.751743
[110] train-auc:0.953805 valid-auc:0.751829
[111] train-auc:0.95391 valid-auc:0.751796
[112] train-auc:0.954303 valid-auc:0.751848
[113] train-auc:0.954724 valid-auc:0.751965
[114] train-auc:0.954849 valid-auc:0.751958
[115] train-auc:0.954907 valid-auc:0.751919
[116] train-auc:0.955597 valid-auc:0.752174
[117] train-auc:0.956094 valid-auc:0.75226
[118] train-auc:0.956699 valid-auc:0.752395
[119] train-auc:0.956728 valid-auc:0.752468
[120] train-auc:0.956944 valid-auc:0.752385
[121] train-auc:0.957186 valid-auc:0.752464
[122] train-auc:0.957804 valid-auc:0.752438
[123] train-auc:0.95796 valid-auc:0.752629
[124] train-auc:0.958088 valid-auc:0.75278
[125] train-auc:0.958167 valid-auc:0.752799
[126] train-auc:0.95845 valid-auc:0.752865
[127] train-auc:0.959193 valid-auc:0.753026
[128] train-auc:0.959602 valid-auc:0.752847
[129] train-auc:0.959971 valid-auc:0.752898
[130] train-auc:0.960606 valid-auc:0.752967
[131] train-auc:0.961314 valid-auc:0.75289
[132] train-auc:0.96149 valid-auc:0.752911
[133] train-auc:0.961981 valid-auc:0.752994
[134] train-auc:0.962368 valid-auc:0.753067
[135] train-auc:0.962509 valid-auc:0.753067
[136] train-auc:0.962937 valid-auc:0.753132
[137] train-auc:0.963186 valid-auc:0.753061
[138] train-auc:0.963455 valid-auc:0.753131
[139] train-auc:0.963475 valid-auc:0.753143
[140] train-auc:0.963741 valid-auc:0.75306
[141] train-auc:0.9643 valid-auc:0.753147
[142] train-auc:0.964631 valid-auc:0.753159
[143] train-auc:0.965145 valid-auc:0.753283
[144] train-auc:0.965931 valid-auc:0.753194
[145] train-auc:0.966214 valid-auc:0.753316
[146] train-auc:0.966471 valid-auc:0.753358
[147] train-auc:0.966688 valid-auc:0.753342
[148] train-auc:0.967462 valid-auc:0.753265
[149] train-auc:0.968076 valid-auc:0.753352
[150] train-auc:0.968224 valid-auc:0.753345
[151] train-auc:0.968274 valid-auc:0.753358
[152] train-auc:0.968606 valid-auc:0.753529
[153] train-auc:0.969064 valid-auc:0.753623
[154] train-auc:0.9692 valid-auc:0.753565
[155] train-auc:0.969541 valid-auc:0.753488
[156] train-auc:0.970355 valid-auc:0.75352
[157] train-auc:0.970504 valid-auc:0.753543
[158] train-auc:0.970708 valid-auc:0.753595
[159] train-auc:0.97135 valid-auc:0.753711
[160] train-auc:0.971602 valid-auc:0.753844
[161] train-auc:0.972171 valid-auc:0.754055
[162] train-auc:0.972323 valid-auc:0.753966
[163] train-auc:0.97283 valid-auc:0.754133
[164] train-auc:0.973018 valid-auc:0.754232
[165] train-auc:0.97352 valid-auc:0.754267
[166] train-auc:0.973738 valid-auc:0.754353
[167] train-auc:0.974074 valid-auc:0.754258
[168] train-auc:0.974443 valid-auc:0.754496
[169] train-auc:0.974694 valid-auc:0.754506
[170] train-auc:0.974826 valid-auc:0.754527
[171] train-auc:0.975034 valid-auc:0.754658
[172] train-auc:0.975609 valid-auc:0.754787
[173] train-auc:0.975967 valid-auc:0.754671
[174] train-auc:0.976142 valid-auc:0.754688
[175] train-auc:0.976324 valid-auc:0.754656
[176] train-auc:0.97669 valid-auc:0.754455
[177] train-auc:0.977348 valid-auc:0.754534
[178] train-auc:0.97749 valid-auc:0.754605
[179] train-auc:0.977978 valid-auc:0.754589
[180] train-auc:0.978141 valid-auc:0.754475
[181] train-auc:0.978232 valid-auc:0.754476
[182] train-auc:0.978504 valid-auc:0.754597
[183] train-auc:0.978575 valid-auc:0.754642
[184] train-auc:0.978852 valid-auc:0.754651
[185] train-auc:0.979004 valid-auc:0.754848
[186] train-auc:0.979304 valid-auc:0.754872
[187] train-auc:0.979563 valid-auc:0.755121
[188] train-auc:0.97997 valid-auc:0.755171
[189] train-auc:0.980185 valid-auc:0.755286
[190] train-auc:0.980471 valid-auc:0.755349
[191] train-auc:0.980792 valid-auc:0.755371
[192] train-auc:0.981119 valid-auc:0.755351
[193] train-auc:0.981141 valid-auc:0.755316
[194] train-auc:0.98128 valid-auc:0.755408
[195] train-auc:0.981384 valid-auc:0.755383
[196] train-auc:0.981554 valid-auc:0.75535
[197] train-auc:0.98199 valid-auc:0.755446
[198] train-auc:0.982007 valid-auc:0.755464
[199] train-auc:0.982025 valid-auc:0.755477
[200] train-auc:0.982137 valid-auc:0.75551
[201] train-auc:0.982299 valid-auc:0.755594
[202] train-auc:0.98269 valid-auc:0.755532
[203] train-auc:0.982914 valid-auc:0.75561
[204] train-auc:0.98309 valid-auc:0.755604
[205] train-auc:0.983252 valid-auc:0.755697
[206] train-auc:0.983355 valid-auc:0.755754
[207] train-auc:0.983486 valid-auc:0.755694
[208] train-auc:0.983734 valid-auc:0.755617
[209] train-auc:0.984065 valid-auc:0.755713
[210] train-auc:0.984184 valid-auc:0.755767
[211] train-auc:0.984502 valid-auc:0.755649
[212] train-auc:0.98484 valid-auc:0.755633
[213] train-auc:0.984973 valid-auc:0.7556
[214] train-auc:0.985274 valid-auc:0.755447
[215] train-auc:0.985411 valid-auc:0.755576
[216] train-auc:0.985797 valid-auc:0.755533
[217] train-auc:0.986069 valid-auc:0.755388
[218] train-auc:0.986206 valid-auc:0.755425
[219] train-auc:0.986335 valid-auc:0.755488
[220] train-auc:0.9865 valid-auc:0.755709
[221] train-auc:0.986795 valid-auc:0.75582
[222] train-auc:0.986925 valid-auc:0.755927
[223] train-auc:0.986992 valid-auc:0.755884
[224] train-auc:0.987186 valid-auc:0.755914
[225] train-auc:0.987406 valid-auc:0.755838
[226] train-auc:0.987564 valid-auc:0.755825
[227] train-auc:0.987645 valid-auc:0.755755
[228] train-auc:0.987736 valid-auc:0.755729
[229] train-auc:0.987772 valid-auc:0.755722
[230] train-auc:0.987998 valid-auc:0.755603
[231] train-auc:0.98818 valid-auc:0.755643
[232] train-auc:0.988356 valid-auc:0.755662
[233] train-auc:0.988616 valid-auc:0.755646
[234] train-auc:0.988878 valid-auc:0.755615
[235] train-auc:0.988919 valid-auc:0.755643
[236] train-auc:0.988959 valid-auc:0.755684
[237] train-auc:0.989035 valid-auc:0.75565
[238] train-auc:0.989246 valid-auc:0.755693
[239] train-auc:0.989454 valid-auc:0.755907
[240] train-auc:0.989541 valid-auc:0.755971
[241] train-auc:0.989656 valid-auc:0.755952
[242] train-auc:0.989849 valid-auc:0.755968
[243] train-auc:0.989963 valid-auc:0.755989
[244] train-auc:0.990098 valid-auc:0.755942
[245] train-auc:0.990222 valid-auc:0.755981
[246] train-auc:0.99039 valid-auc:0.755935
[247] train-auc:0.990516 valid-auc:0.755913
[248] train-auc:0.990685 valid-auc:0.755926
[249] train-auc:0.990747 valid-auc:0.755931
[250] train-auc:0.990865 valid-auc:0.755976
[251] train-auc:0.991047 valid-auc:0.756061
[252] train-auc:0.991199 valid-auc:0.755952
[253] train-auc:0.991258 valid-auc:0.75585
[254] train-auc:0.991403 valid-auc:0.755829
[255] train-auc:0.991484 valid-auc:0.755808
[256] train-auc:0.991663 valid-auc:0.755625
[257] train-auc:0.991823 valid-auc:0.755528
[258] train-auc:0.991954 valid-auc:0.755619
[259] train-auc:0.992077 valid-auc:0.755657
[260] train-auc:0.992142 valid-auc:0.755637
[261] train-auc:0.992258 valid-auc:0.755588
[262] train-auc:0.992334 valid-auc:0.755501
[263] train-auc:0.992444 valid-auc:0.755528
[264] train-auc:0.992545 valid-auc:0.755466
[265] train-auc:0.992628 valid-auc:0.7554
[266] train-auc:0.992818 valid-auc:0.755352
[267] train-auc:0.992868 valid-auc:0.755404
[268] train-auc:0.993037 valid-auc:0.755361
[269] train-auc:0.993132 valid-auc:0.755392
[270] train-auc:0.993193 valid-auc:0.75535
[271] train-auc:0.993367 valid-auc:0.755353
[272] train-auc:0.993481 valid-auc:0.75564
[273] train-auc:0.993565 valid-auc:0.755597
[274] train-auc:0.993618 valid-auc:0.755583
[275] train-auc:0.993698 valid-auc:0.755662
[276] train-auc:0.993846 valid-auc:0.755603
[277] train-auc:0.993896 valid-auc:0.755525
[278] train-auc:0.993959 valid-auc:0.755577
[279] train-auc:0.994027 valid-auc:0.755672
[280] train-auc:0.994095 valid-auc:0.755656
[281] train-auc:0.994114 valid-auc:0.755589
[282] train-auc:0.994188 valid-auc:0.755471
[283] train-auc:0.994342 valid-auc:0.755541
[284] train-auc:0.994435 valid-auc:0.755631
[285] train-auc:0.99448 valid-auc:0.755674
[286] train-auc:0.994545 valid-auc:0.75563
[287] train-auc:0.994575 valid-auc:0.755719
[288] train-auc:0.994679 valid-auc:0.755879
[289] train-auc:0.99479 valid-auc:0.755992
[290] train-auc:0.994827 valid-auc:0.756024
[291] train-auc:0.994919 valid-auc:0.756101
[292] train-auc:0.995026 valid-auc:0.75618
[293] train-auc:0.99507 valid-auc:0.756232
[294] train-auc:0.99511 valid-auc:0.756287
[295] train-auc:0.995215 valid-auc:0.756323
[296] train-auc:0.995251 valid-auc:0.756328
[297] train-auc:0.995302 valid-auc:0.756311
[298] train-auc:0.995411 valid-auc:0.756203
[299] train-auc:0.995441 valid-auc:0.756145
[300] train-auc:0.995519 valid-auc:0.756148
[301] train-auc:0.995577 valid-auc:0.756194
[302] train-auc:0.995643 valid-auc:0.756233
[303] train-auc:0.995686 valid-auc:0.756291
[304] train-auc:0.995705 valid-auc:0.756236
[305] train-auc:0.995765 valid-auc:0.756267
[306] train-auc:0.995783 valid-auc:0.756296
[307] train-auc:0.995849 valid-auc:0.756402
[308] train-auc:0.995906 valid-auc:0.756454
[309] train-auc:0.995986 valid-auc:0.756413
[310] train-auc:0.996074 valid-auc:0.756622
[311] train-auc:0.996099 valid-auc:0.756596
[312] train-auc:0.996135 valid-auc:0.756656
[313] train-auc:0.996193 valid-auc:0.756732
[314] train-auc:0.996259 valid-auc:0.756835
[315] train-auc:0.996312 valid-auc:0.756884
[316] train-auc:0.996392 valid-auc:0.756774
[317] train-auc:0.996434 valid-auc:0.756746
[318] train-auc:0.99648 valid-auc:0.756716
[319] train-auc:0.9965 valid-auc:0.756805
[320] train-auc:0.996556 valid-auc:0.756754
[321] train-auc:0.99661 valid-auc:0.756792
[322] train-auc:0.996678 valid-auc:0.756681
[323] train-auc:0.996729 valid-auc:0.756708
[324] train-auc:0.996776 valid-auc:0.756817
[325] train-auc:0.996836 valid-auc:0.756745
[326] train-auc:0.996851 valid-auc:0.756685
[327] train-auc:0.996891 valid-auc:0.756712
[328] train-auc:0.996924 valid-auc:0.756802
[329] train-auc:0.99695 valid-auc:0.756845
[330] train-auc:0.996966 valid-auc:0.756812
[331] train-auc:0.996999 valid-auc:0.756845
[332] train-auc:0.996999 valid-auc:0.756876
[333] train-auc:0.997011 valid-auc:0.75691
[334] train-auc:0.997069 valid-auc:0.756938
[335] train-auc:0.997078 valid-auc:0.756895
[336] train-auc:0.997177 valid-auc:0.757006
[337] train-auc:0.997204 valid-auc:0.757013
[338] train-auc:0.997261 valid-auc:0.756981
[339] train-auc:0.997314 valid-auc:0.756968
[340] train-auc:0.99736 valid-auc:0.756958
[341] train-auc:0.997377 valid-auc:0.756949
[342] train-auc:0.997421 valid-auc:0.756888
[343] train-auc:0.997428 valid-auc:0.756885
[344] train-auc:0.997477 valid-auc:0.756879
[345] train-auc:0.99754 valid-auc:0.75688
[346] train-auc:0.997569 valid-auc:0.756972
[347] train-auc:0.997618 valid-auc:0.756973
[348] train-auc:0.997672 valid-auc:0.756895
[349] train-auc:0.997743 valid-auc:0.756907
[350] train-auc:0.997792 valid-auc:0.756941
[351] train-auc:0.997809 valid-auc:0.756852
[352] train-auc:0.997842 valid-auc:0.756916
[353] train-auc:0.997884 valid-auc:0.756898
[354] train-auc:0.997928 valid-auc:0.756961
[355] train-auc:0.997965 valid-auc:0.756945
[356] train-auc:0.997986 valid-auc:0.756883
[357] train-auc:0.998003 valid-auc:0.756916
[358] train-auc:0.998018 valid-auc:0.756977
[359] train-auc:0.998076 valid-auc:0.757078
[360] train-auc:0.998107 valid-auc:0.757217
[361] train-auc:0.998114 valid-auc:0.757294
[362] train-auc:0.998139 valid-auc:0.757283
[363] train-auc:0.99817 valid-auc:0.757251
[364] train-auc:0.998192 valid-auc:0.757221
[365] train-auc:0.998206 valid-auc:0.757253
[366] train-auc:0.998249 valid-auc:0.757324
[367] train-auc:0.998252 valid-auc:0.75735
[368] train-auc:0.998259 valid-auc:0.757326
[369] train-auc:0.998268 valid-auc:0.757282
[370] train-auc:0.998291 valid-auc:0.757287
[371] train-auc:0.998329 valid-auc:0.757321
[372] train-auc:0.998333 valid-auc:0.757269
[373] train-auc:0.998338 valid-auc:0.757237
[374] train-auc:0.998369 valid-auc:0.757292
[375] train-auc:0.998399 valid-auc:0.757282
[376] train-auc:0.998431 valid-auc:0.757353
[377] train-auc:0.998441 valid-auc:0.757361
[378] train-auc:0.99845 valid-auc:0.757316
[379] train-auc:0.99849 valid-auc:0.757392
[380] train-auc:0.998523 valid-auc:0.757495
[381] train-auc:0.99854 valid-auc:0.757508
[382] train-auc:0.998559 valid-auc:0.757492
[383] train-auc:0.998599 valid-auc:0.757501
[384] train-auc:0.998609 valid-auc:0.757504
[385] train-auc:0.998613 valid-auc:0.75752
[386] train-auc:0.998638 valid-auc:0.757617
[387] train-auc:0.998659 valid-auc:0.757595
[388] train-auc:0.998666 valid-auc:0.75758
[389] train-auc:0.998674 valid-auc:0.757645
[390] train-auc:0.998686 valid-auc:0.757643
[391] train-auc:0.998704 valid-auc:0.757744
[392] train-auc:0.998724 valid-auc:0.757731
[393] train-auc:0.99874 valid-auc:0.757716
[394] train-auc:0.998753 valid-auc:0.757714
[395] train-auc:0.998773 valid-auc:0.757788
[396] train-auc:0.998799 valid-auc:0.757733
[397] train-auc:0.998826 valid-auc:0.75769
[398] train-auc:0.998843 valid-auc:0.757764
[399] train-auc:0.99888 valid-auc:0.757693
[400] train-auc:0.998912 valid-auc:0.757641
[401] train-auc:0.998922 valid-auc:0.757672
[402] train-auc:0.998937 valid-auc:0.757677
[403] train-auc:0.998947 valid-auc:0.757679
[404] train-auc:0.998963 valid-auc:0.757694
[405] train-auc:0.998973 valid-auc:0.757674
[406] train-auc:0.998974 valid-auc:0.757687
[407] train-auc:0.998986 valid-auc:0.757653
[408] train-auc:0.999013 valid-auc:0.757718
[409] train-auc:0.999023 valid-auc:0.757701
[410] train-auc:0.999038 valid-auc:0.757768
[411] train-auc:0.999061 valid-auc:0.757799
[412] train-auc:0.999092 valid-auc:0.757957
[413] train-auc:0.999107 valid-auc:0.757916
[414] train-auc:0.999115 valid-auc:0.757928
[415] train-auc:0.999134 valid-auc:0.75807
[416] train-auc:0.999136 valid-auc:0.758024
[417] train-auc:0.99916 valid-auc:0.758144
[418] train-auc:0.999164 valid-auc:0.758097
[419] train-auc:0.999177 valid-auc:0.758204
[420] train-auc:0.999189 valid-auc:0.758182
[421] train-auc:0.9992 valid-auc:0.758201
[422] train-auc:0.999212 valid-auc:0.758234
[423] train-auc:0.999219 valid-auc:0.758199
[424] train-auc:0.999235 valid-auc:0.758173
[425] train-auc:0.999249 valid-auc:0.758074
[426] train-auc:0.999261 valid-auc:0.757994
[427] train-auc:0.99926 valid-auc:0.757984
[428] train-auc:0.999271 valid-auc:0.758013
[429] train-auc:0.999283 valid-auc:0.758031
[430] train-auc:0.999291 valid-auc:0.758019
[431] train-auc:0.999298 valid-auc:0.757964
[432] train-auc:0.999311 valid-auc:0.757994
[433] train-auc:0.999326 valid-auc:0.757916
[434] train-auc:0.999344 valid-auc:0.757899
[435] train-auc:0.999347 valid-auc:0.757927
[436] train-auc:0.999361 valid-auc:0.757992
[437] train-auc:0.999369 valid-auc:0.757881
[438] train-auc:0.999371 valid-auc:0.757902
[439] train-auc:0.999377 valid-auc:0.757917
[440] train-auc:0.999398 valid-auc:0.757877
[441] train-auc:0.999412 valid-auc:0.757902
[442] train-auc:0.999428 valid-auc:0.757877
[443] train-auc:0.999438 valid-auc:0.757896
[444] train-auc:0.999454 valid-auc:0.757932
[445] train-auc:0.999457 valid-auc:0.757902
[446] train-auc:0.999466 valid-auc:0.757905
[447] train-auc:0.999481 valid-auc:0.75793
[448] train-auc:0.999488 valid-auc:0.757948
[449] train-auc:0.999496 valid-auc:0.757928
[450] train-auc:0.999509 valid-auc:0.757947
[451] train-auc:0.999516 valid-auc:0.757933
[452] train-auc:0.999529 valid-auc:0.757967
[453] train-auc:0.999534 valid-auc:0.758014
[454] train-auc:0.999543 valid-auc:0.757937
[455] train-auc:0.999551 valid-auc:0.757989
[456] train-auc:0.99956 valid-auc:0.757933
[457] train-auc:0.999566 valid-auc:0.757945
[458] train-auc:0.999568 valid-auc:0.757946
[459] train-auc:0.999581 valid-auc:0.757983
[460] train-auc:0.999586 valid-auc:0.758067
[461] train-auc:0.999593 valid-auc:0.757978
[462] train-auc:0.999605 valid-auc:0.758
[463] train-auc:0.99961 valid-auc:0.758043
[464] train-auc:0.999614 valid-auc:0.758088
[465] train-auc:0.999618 valid-auc:0.758143
[466] train-auc:0.999624 valid-auc:0.758089
[467] train-auc:0.999625 valid-auc:0.758142
[468] train-auc:0.99963 valid-auc:0.758132
[469] train-auc:0.999645 valid-auc:0.758105
[470] train-auc:0.999655 valid-auc:0.758106
[471] train-auc:0.999663 valid-auc:0.758041
[472] train-auc:0.99967 valid-auc:0.758067
Stopping. Best iteration:
[422] train-auc:0.999212 valid-auc:0.758234
[mlcrate] Finished training fold 5 - took 4m41s - running score 0.7610191666666667
[mlcrate] Running fold 6, 62699 train samples, 10448 validation samples
[0] train-auc:0.800985 valid-auc:0.705988
Multiple eval metrics have been passed: 'valid-auc' will be used for early stopping.
Will train until valid-auc hasn't improved in 50 rounds.
[1] train-auc:0.823359 valid-auc:0.721245
[2] train-auc:0.834586 valid-auc:0.72946
[3] train-auc:0.840976 valid-auc:0.734694
[4] train-auc:0.845387 valid-auc:0.737729
[5] train-auc:0.849406 valid-auc:0.739165
[6] train-auc:0.851967 valid-auc:0.739829
[7] train-auc:0.854535 valid-auc:0.740421
[8] train-auc:0.855919 valid-auc:0.741808
[9] train-auc:0.85764 valid-auc:0.741377
[10] train-auc:0.859513 valid-auc:0.741741
[11] train-auc:0.861358 valid-auc:0.742788
[12] train-auc:0.86275 valid-auc:0.743429
[13] train-auc:0.865032 valid-auc:0.743654
[14] train-auc:0.86701 valid-auc:0.744247
[15] train-auc:0.869174 valid-auc:0.745448
[16] train-auc:0.871176 valid-auc:0.746112
[17] train-auc:0.872592 valid-auc:0.74621
[18] train-auc:0.874326 valid-auc:0.746924
[19] train-auc:0.875751 valid-auc:0.747145
[20] train-auc:0.877683 valid-auc:0.747592
[21] train-auc:0.879073 valid-auc:0.747814
[22] train-auc:0.880832 valid-auc:0.747983
[23] train-auc:0.882062 valid-auc:0.748748
[24] train-auc:0.883555 valid-auc:0.749041
[25] train-auc:0.884937 valid-auc:0.749237
[26] train-auc:0.88626 valid-auc:0.749463
[27] train-auc:0.887537 valid-auc:0.749667
[28] train-auc:0.888929 valid-auc:0.74986
[29] train-auc:0.89088 valid-auc:0.74998
[30] train-auc:0.892619 valid-auc:0.749978
[31] train-auc:0.893836 valid-auc:0.75012
[32] train-auc:0.895066 valid-auc:0.750411
[33] train-auc:0.89619 valid-auc:0.750679
[34] train-auc:0.897518 valid-auc:0.750957
[35] train-auc:0.898725 valid-auc:0.751273
[36] train-auc:0.899586 valid-auc:0.751699
[37] train-auc:0.900351 valid-auc:0.752029
[38] train-auc:0.901746 valid-auc:0.752169
[39] train-auc:0.902814 valid-auc:0.752284
[40] train-auc:0.903719 valid-auc:0.752614
[41] train-auc:0.905019 valid-auc:0.752668
[42] train-auc:0.906086 valid-auc:0.753179
[43] train-auc:0.907121 valid-auc:0.75337
[44] train-auc:0.908138 valid-auc:0.753648
[45] train-auc:0.909243 valid-auc:0.753955
[46] train-auc:0.910352 valid-auc:0.754095
[47] train-auc:0.911197 valid-auc:0.754357
[48] train-auc:0.912398 valid-auc:0.754494
[49] train-auc:0.913156 valid-auc:0.754868
[50] train-auc:0.913915 valid-auc:0.754967
[51] train-auc:0.914877 valid-auc:0.754973
[52] train-auc:0.915725 valid-auc:0.755138
[53] train-auc:0.916333 valid-auc:0.755269
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[332] train-auc:0.997596 valid-auc:0.768585
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[334] train-auc:0.99767 valid-auc:0.76843
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[336] train-auc:0.997739 valid-auc:0.768523
[337] train-auc:0.997777 valid-auc:0.768629
[338] train-auc:0.997828 valid-auc:0.768762
[339] train-auc:0.997855 valid-auc:0.768695
[340] train-auc:0.997877 valid-auc:0.768707
[341] train-auc:0.997896 valid-auc:0.768731
[342] train-auc:0.997966 valid-auc:0.768717
[343] train-auc:0.997986 valid-auc:0.768661
[344] train-auc:0.998005 valid-auc:0.768656
[345] train-auc:0.998027 valid-auc:0.768536
[346] train-auc:0.998044 valid-auc:0.768596
[347] train-auc:0.998058 valid-auc:0.768623
[348] train-auc:0.998094 valid-auc:0.768757
[349] train-auc:0.998111 valid-auc:0.7688
[350] train-auc:0.998151 valid-auc:0.768769
[351] train-auc:0.998171 valid-auc:0.768703
[352] train-auc:0.998215 valid-auc:0.768665
[353] train-auc:0.998239 valid-auc:0.768595
Stopping. Best iteration:
[303] train-auc:0.99614 valid-auc:0.768946
[mlcrate] Finished training fold 6 - took 3m31s - running score 0.7621515714285714
[mlcrate] Finished training 7 XGBoost models, took 27m35s
In [35]:
submit = make_submission(p_test_xgb)
submit.to_csv(f'{PATH}\\AV_Stud\\xgb_1_06.csv', index=False)
submit.head()
Out[35]:
id
is_pass
0
1626_45
0.354804
1
11020_130
0.950365
2
12652_146
0.595852
3
7038_72
0.037997
4
888_71
0.162516
In [36]:
np.mean(p_test_xgb), np.std(p_test_xgb)
Out[36]:
(0.60203171, 0.25843671)
In [37]:
np.save(f'{PATH}\\AV_Stud\\stack_preds\\xgb_embedding', p_train_xgb)
In [38]:
np.save(f'{PATH}\\AV_Stud\\xgb_train_embedding', x_train_final_dnn)
np.save(f'{PATH}\\AV_Stud\\xgb_test_embedding', x_test_final_dnn)
In [ ]:
Content source: AdityaSoni19031997/Machine-Learning
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