In [1]:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
Grid-Search with build-in cross validation
In [2]:
from sklearn.grid_search import GridSearchCV
from sklearn.svm import SVC
In [3]:
from sklearn.datasets import load_digits
from sklearn.cross_validation import train_test_split
digits = load_digits()
X_train, X_test, y_train, y_test = train_test_split(digits.data,
digits.target)
Define parameter grid:
In [4]:
import numpy as np
param_grid = {'C': 10. ** np.arange(-3, 3),
'gamma' : 10. ** np.arange(-5, 0)}
np.set_printoptions(suppress=True)
print(param_grid)
{'C': array([ 0.001, 0.01 , 0.1 , 1. , 10. , 100. ]), 'gamma': array([ 0.00001, 0.0001 , 0.001 , 0.01 , 0.1 ])}
In [5]:
grid_search = GridSearchCV(SVC(), param_grid, verbose=3)
A GridSearchCV object behaves just like a normal classifier.
In [6]:
grid_search.fit(X_train, y_train)
Fitting 3 folds for each of 30 candidates, totalling 90 fits
[CV] C=0.001, gamma=1e-05 ............................................
[CV] ................... C=0.001, gamma=1e-05, score=0.105960 - 0.2s
[CV] C=0.001, gamma=1e-05 ............................................
[CV] ................... C=0.001, gamma=1e-05, score=0.106904 - 0.2s
[CV] C=0.001, gamma=1e-05 ............................................
[CV] ................... C=0.001, gamma=1e-05, score=0.105618 - 0.2s
[CV] C=0.001, gamma=0.0001 ...........................................
[CV] .................. C=0.001, gamma=0.0001, score=0.105960 - 0.2s
[CV] C=0.001, gamma=0.0001 ...........................................
[CV] .................. C=0.001, gamma=0.0001, score=0.106904 - 0.2s
[CV] C=0.001, gamma=0.0001 ...........................................
[CV] .................. C=0.001, gamma=0.0001, score=0.105618 - 0.2s
[CV] C=0.001, gamma=0.001 ............................................
[CV] ................... C=0.001, gamma=0.001, score=0.105960 - 0.2s
[CV] C=0.001, gamma=0.001 ............................................
[CV] ................... C=0.001, gamma=0.001, score=0.106904 - 0.2s
[CV] C=0.001, gamma=0.001 ............................................
[CV] ................... C=0.001, gamma=0.001, score=0.105618 - 0.2s
[CV] C=0.001, gamma=0.01 .............................................
[CV] .................... C=0.001, gamma=0.01, score=0.105960 - 0.2s
[CV] C=0.001, gamma=0.01 .............................................
[CV] .................... C=0.001, gamma=0.01, score=0.106904 - 0.2s
[CV] C=0.001, gamma=0.01 .............................................
[CV] .................... C=0.001, gamma=0.01, score=0.105618 - 0.2s
[CV] C=0.001, gamma=0.1 ..............................................
[CV] ..................... C=0.001, gamma=0.1, score=0.105960 - 0.2s
[CV] C=0.001, gamma=0.1 ..............................................
[CV] ..................... C=0.001, gamma=0.1, score=0.106904 - 0.2s
[CV] C=0.001, gamma=0.1 ..............................................
[CV] ..................... C=0.001, gamma=0.1, score=0.105618 - 0.2s
[CV] C=0.01, gamma=1e-05 .............................................
[CV] .................... C=0.01, gamma=1e-05, score=0.105960 - 0.2s
[CV] C=0.01, gamma=1e-05 .............................................
[CV] .................... C=0.01, gamma=1e-05, score=0.106904 - 0.2s
[CV] C=0.01, gamma=1e-05 .............................................
[CV] .................... C=0.01, gamma=1e-05, score=0.105618 - 0.2s
[CV] C=0.01, gamma=0.0001 ............................................
[CV] ................... C=0.01, gamma=0.0001, score=0.105960 - 0.2s
[CV] C=0.01, gamma=0.0001 ............................................
[CV] ................... C=0.01, gamma=0.0001, score=0.106904 - 0.2s
[CV] C=0.01, gamma=0.0001 ............................................
[CV] ................... C=0.01, gamma=0.0001, score=0.105618 - 0.2s
[CV] C=0.01, gamma=0.001 .............................................
[CV] .................... C=0.01, gamma=0.001, score=0.105960 - 0.2s
[CV] C=0.01, gamma=0.001 .............................................
[CV] .................... C=0.01, gamma=0.001, score=0.106904 - 0.2s
[CV] C=0.01, gamma=0.001 .............................................
[CV] .................... C=0.01, gamma=0.001, score=0.105618 - 0.2s
[CV] C=0.01, gamma=0.01 ..............................................
[CV] ..................... C=0.01, gamma=0.01, score=0.105960 - 0.2s
[CV] C=0.01, gamma=0.01 ..............................................
[CV] ..................... C=0.01, gamma=0.01, score=0.106904 - 0.2s
[CV] C=0.01, gamma=0.01 ..............................................
[CV] ..................... C=0.01, gamma=0.01, score=0.105618 - 0.2s
[CV] C=0.01, gamma=0.1 ...............................................
[CV] ...................... C=0.01, gamma=0.1, score=0.105960 - 0.2s
[CV] C=0.01, gamma=0.1 ...............................................
[CV] ...................... C=0.01, gamma=0.1, score=0.106904 - 0.2s
[CV] C=0.01, gamma=0.1 ...............................................
[CV] ...................... C=0.01, gamma=0.1, score=0.105618 - 0.2s
[CV] C=0.1, gamma=1e-05 ..............................................
[CV] ..................... C=0.1, gamma=1e-05, score=0.105960 - 0.2s
[CV] C=0.1, gamma=1e-05 ..............................................
[CV] ..................... C=0.1, gamma=1e-05, score=0.106904 - 0.2s
[Parallel(n_jobs=1)]: Done 1 jobs | elapsed: 0.2s
[Parallel(n_jobs=1)]: Done 32 jobs | elapsed: 5.4s
[CV] C=0.1, gamma=1e-05 ..............................................
[CV] ..................... C=0.1, gamma=1e-05, score=0.105618 - 0.2s
[CV] C=0.1, gamma=0.0001 .............................................
[CV] .................... C=0.1, gamma=0.0001, score=0.812362 - 0.2s
[CV] C=0.1, gamma=0.0001 .............................................
[CV] .................... C=0.1, gamma=0.0001, score=0.819599 - 0.2s
[CV] C=0.1, gamma=0.0001 .............................................
[CV] .................... C=0.1, gamma=0.0001, score=0.811236 - 0.1s
[CV] C=0.1, gamma=0.001 ..............................................
[CV] ..................... C=0.1, gamma=0.001, score=0.966887 - 0.1s
[CV] C=0.1, gamma=0.001 ..............................................
[CV] ..................... C=0.1, gamma=0.001, score=0.955457 - 0.1s
[CV] C=0.1, gamma=0.001 ..............................................
[CV] ..................... C=0.1, gamma=0.001, score=0.946067 - 0.1s
[CV] C=0.1, gamma=0.01 ...............................................
[CV] ...................... C=0.1, gamma=0.01, score=0.105960 - 0.2s
[CV] C=0.1, gamma=0.01 ...............................................
[CV] ...................... C=0.1, gamma=0.01, score=0.106904 - 0.2s
[CV] C=0.1, gamma=0.01 ...............................................
[CV] ...................... C=0.1, gamma=0.01, score=0.105618 - 0.2s
[CV] C=0.1, gamma=0.1 ................................................
[CV] ....................... C=0.1, gamma=0.1, score=0.105960 - 0.2s
[CV] C=0.1, gamma=0.1 ................................................
[CV] ....................... C=0.1, gamma=0.1, score=0.106904 - 0.2s
[CV] C=0.1, gamma=0.1 ................................................
[CV] ....................... C=0.1, gamma=0.1, score=0.105618 - 0.2s
[CV] C=1.0, gamma=1e-05 ..............................................
[CV] ..................... C=1.0, gamma=1e-05, score=0.869757 - 0.1s
[CV] C=1.0, gamma=1e-05 ..............................................
[CV] ..................... C=1.0, gamma=1e-05, score=0.864143 - 0.2s
[CV] C=1.0, gamma=1e-05 ..............................................
[CV] ..................... C=1.0, gamma=1e-05, score=0.849438 - 0.1s
[CV] C=1.0, gamma=0.0001 .............................................
[CV] .................... C=1.0, gamma=0.0001, score=0.973510 - 0.1s
[CV] C=1.0, gamma=0.0001 .............................................
[CV] .................... C=1.0, gamma=0.0001, score=0.968820 - 0.1s
[CV] C=1.0, gamma=0.0001 .............................................
[CV] .................... C=1.0, gamma=0.0001, score=0.957303 - 0.1s
[CV] C=1.0, gamma=0.001 ..............................................
[CV] ..................... C=1.0, gamma=0.001, score=0.993377 - 0.1s
[CV] C=1.0, gamma=0.001 ..............................................
[CV] ..................... C=1.0, gamma=0.001, score=0.984410 - 0.1s
[CV] C=1.0, gamma=0.001 ..............................................
[CV] ..................... C=1.0, gamma=0.001, score=0.977528 - 0.1s
[CV] C=1.0, gamma=0.01 ...............................................
[CV] ...................... C=1.0, gamma=0.01, score=0.754967 - 0.2s
[CV] C=1.0, gamma=0.01 ...............................................
[CV] ...................... C=1.0, gamma=0.01, score=0.712695 - 0.2s
[CV] C=1.0, gamma=0.01 ...............................................
[CV] ...................... C=1.0, gamma=0.01, score=0.761798 - 0.2s
[CV] C=1.0, gamma=0.1 ................................................
[CV] ....................... C=1.0, gamma=0.1, score=0.105960 - 0.2s
[CV] C=1.0, gamma=0.1 ................................................
[CV] ....................... C=1.0, gamma=0.1, score=0.109131 - 0.2s
[CV] C=1.0, gamma=0.1 ................................................
[CV] ....................... C=1.0, gamma=0.1, score=0.107865 - 0.2s
[CV] C=10.0, gamma=1e-05 .............................................
[CV] .................... C=10.0, gamma=1e-05, score=0.975717 - 0.1s
[CV] C=10.0, gamma=1e-05 .............................................
[CV] .................... C=10.0, gamma=1e-05, score=0.962138 - 0.1s
[CV] C=10.0, gamma=1e-05 .............................................
[CV] .................... C=10.0, gamma=1e-05, score=0.957303 - 0.1s
[CV] C=10.0, gamma=0.0001 ............................................
[CV] ................... C=10.0, gamma=0.0001, score=0.982340 - 0.0s
[CV] C=10.0, gamma=0.0001 ............................................
[CV] ................... C=10.0, gamma=0.0001, score=0.986637 - 0.0s
[CV] C=10.0, gamma=0.0001 ............................................
[CV] ................... C=10.0, gamma=0.0001, score=0.979775 - 0.0s
[CV] C=10.0, gamma=0.001 .............................................
[CV] .................... C=10.0, gamma=0.001, score=0.993377 - 0.1s
[CV] C=10.0, gamma=0.001 .............................................
[CV] .................... C=10.0, gamma=0.001, score=0.984410 - 0.1s
[CV] C=10.0, gamma=0.001 .............................................
[CV] .................... C=10.0, gamma=0.001, score=0.982022 - 0.1s
[CV] C=10.0, gamma=0.01 ..............................................
[CV] ..................... C=10.0, gamma=0.01, score=0.768212 - 0.2s
[CV] C=10.0, gamma=0.01 ..............................................
[CV] ..................... C=10.0, gamma=0.01, score=0.730512 - 0.2s
[CV] C=10.0, gamma=0.01 ..............................................
[CV] ..................... C=10.0, gamma=0.01, score=0.784270 - 0.2s
[CV] C=10.0, gamma=0.1 ...............................................
[CV] ...................... C=10.0, gamma=0.1, score=0.105960 - 0.2s
[CV] C=10.0, gamma=0.1 ...............................................
[CV] ...................... C=10.0, gamma=0.1, score=0.109131 - 0.2s
[CV] C=10.0, gamma=0.1 ...............................................
[CV] ...................... C=10.0, gamma=0.1, score=0.107865 - 0.2s
[CV] C=100.0, gamma=1e-05 ............................................
[CV] ................... C=100.0, gamma=1e-05, score=0.975717 - 0.0s
[CV] C=100.0, gamma=1e-05 ............................................
[CV] ................... C=100.0, gamma=1e-05, score=0.982183 - 0.0s
[CV] C=100.0, gamma=1e-05 ............................................
[CV] ................... C=100.0, gamma=1e-05, score=0.977528 - 0.0s
[CV] C=100.0, gamma=0.0001 ...........................................
[CV] .................. C=100.0, gamma=0.0001, score=0.984547 - 0.0s
[CV] C=100.0, gamma=0.0001 ...........................................
[CV] .................. C=100.0, gamma=0.0001, score=0.979955 - 0.0s
[CV] C=100.0, gamma=0.0001 ...........................................
[CV] .................. C=100.0, gamma=0.0001, score=0.984270 - 0.0s
[CV] C=100.0, gamma=0.001 ............................................
[CV] ................... C=100.0, gamma=0.001, score=0.993377 - 0.1s
[CV] C=100.0, gamma=0.001 ............................................
[CV] ................... C=100.0, gamma=0.001, score=0.984410 - 0.1s
[CV] C=100.0, gamma=0.001 ............................................
[CV] ................... C=100.0, gamma=0.001, score=0.982022 - 0.1s
[CV] C=100.0, gamma=0.01 .............................................
[CV] .................... C=100.0, gamma=0.01, score=0.768212 - 0.2s
[CV] C=100.0, gamma=0.01 .............................................
[CV] .................... C=100.0, gamma=0.01, score=0.730512 - 0.2s
[CV] C=100.0, gamma=0.01 .............................................
[CV] .................... C=100.0, gamma=0.01, score=0.784270 - 0.2s
[CV] C=100.0, gamma=0.1 ..............................................
[CV] ..................... C=100.0, gamma=0.1, score=0.105960 - 0.2s
[CV] C=100.0, gamma=0.1 ..............................................
[CV] ..................... C=100.0, gamma=0.1, score=0.109131 - 0.2s
[CV] C=100.0, gamma=0.1 ..............................................
[CV] ..................... C=100.0, gamma=0.1, score=0.107865 - 0.2s
[Parallel(n_jobs=1)]: Done 90 out of 90 | elapsed: 12.7s finished
Out[6]:
GridSearchCV(cv=None, error_score='raise',
estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,
kernel='rbf', max_iter=-1, probability=False, random_state=None,
shrinking=True, tol=0.001, verbose=False),
fit_params={}, iid=True, loss_func=None, n_jobs=1,
param_grid={'C': array([ 0.001, 0.01 , 0.1 , 1. , 10. , 100. ]), 'gamma': array([ 0.00001, 0.0001 , 0.001 , 0.01 , 0.1 ])},
pre_dispatch='2*n_jobs', refit=True, score_func=None, scoring=None,
verbose=3)
In [7]:
grid_search.predict(X_test)
Out[7]:
array([4, 6, 2, 2, 7, 0, 0, 2, 9, 4, 1, 3, 8, 4, 9, 5, 7, 7, 3, 5, 4, 3, 9,
6, 0, 5, 7, 9, 1, 7, 6, 4, 7, 0, 8, 4, 3, 0, 0, 4, 2, 2, 3, 0, 0, 8,
5, 2, 7, 0, 7, 7, 8, 3, 3, 6, 3, 6, 8, 1, 9, 5, 2, 2, 2, 6, 3, 2, 2,
6, 0, 6, 5, 8, 4, 9, 1, 6, 3, 0, 5, 9, 3, 1, 9, 1, 1, 9, 9, 9, 2, 2,
9, 2, 2, 0, 0, 8, 4, 2, 8, 0, 3, 1, 6, 8, 8, 5, 3, 7, 2, 1, 1, 7, 1,
2, 8, 1, 6, 3, 3, 4, 2, 1, 3, 9, 7, 3, 6, 6, 1, 8, 0, 2, 6, 0, 8, 6,
9, 8, 1, 5, 8, 8, 4, 4, 5, 3, 3, 0, 4, 9, 6, 0, 8, 6, 7, 0, 0, 5, 1,
9, 2, 7, 9, 9, 4, 8, 4, 8, 1, 0, 8, 8, 3, 6, 2, 5, 0, 3, 7, 9, 9, 0,
7, 7, 6, 1, 7, 3, 6, 6, 1, 5, 8, 4, 8, 9, 9, 6, 1, 8, 3, 5, 9, 8, 7,
7, 9, 3, 7, 9, 5, 0, 6, 3, 4, 4, 2, 1, 2, 2, 2, 7, 3, 3, 5, 7, 2, 4,
0, 3, 9, 7, 0, 5, 7, 0, 7, 4, 6, 6, 3, 9, 4, 7, 1, 5, 4, 5, 4, 4, 7,
3, 7, 7, 6, 9, 0, 3, 0, 1, 1, 3, 9, 3, 2, 6, 1, 3, 9, 1, 4, 0, 2, 5,
8, 1, 4, 0, 8, 9, 1, 1, 6, 5, 2, 7, 6, 6, 2, 8, 5, 5, 4, 7, 4, 2, 2,
1, 1, 6, 7, 3, 1, 0, 8, 1, 1, 2, 1, 0, 5, 9, 3, 6, 0, 1, 3, 4, 5, 7,
8, 3, 6, 8, 7, 3, 4, 6, 5, 9, 2, 3, 2, 7, 9, 4, 7, 9, 8, 8, 3, 5, 1,
0, 5, 0, 4, 8, 5, 2, 0, 1, 3, 2, 4, 3, 4, 7, 9, 7, 1, 8, 6, 5, 0, 7,
6, 4, 5, 4, 0, 4, 0, 4, 5, 1, 5, 4, 7, 7, 7, 8, 2, 6, 2, 2, 3, 6, 9,
9, 9, 1, 5, 2, 5, 6, 4, 1, 2, 6, 6, 4, 4, 3, 7, 4, 0, 6, 7, 5, 3, 0,
9, 3, 1, 4, 4, 6, 1, 7, 3, 9, 7, 9, 8, 6, 6, 1, 6, 8, 0, 4, 5, 9, 1,
4, 6, 8, 8, 5, 3, 6, 4, 9, 0, 2, 0, 2])
In [8]:
grid_search.score(X_test, y_test)
Out[8]:
0.99555555555555553
In [9]:
grid_search.best_params_
Out[9]:
{'C': 10.0, 'gamma': 0.001}
In [10]:
# We extract just the scores
scores = [x.mean_validation_score for x in grid_search.grid_scores_]
scores = np.array(scores).reshape(6, 5)
plt.matshow(scores)
plt.xlabel('gamma')
plt.ylabel('C')
plt.colorbar()
plt.xticks(np.arange(5), param_grid['gamma'])
plt.yticks(np.arange(6), param_grid['C']);
Nested Cross-validation in scikit-learn:
In [11]:
from sklearn.cross_validation import cross_val_score
cross_val_score(GridSearchCV(SVC(), param_grid),
digits.data, digits.target)
Out[11]:
array([ 0.9717608 , 0.98163606, 0.97483221])
In [ ]:
# %load solutions/grid_search_k_neighbors.py
In [12]:
from sklearn.neighbors import KNeighborsClassifier
In [14]:
KNeighborsClassifier?
In [40]:
KNC_grid = {'n_neighbors': range(1,40,2),
'leaf_size' : range(1,40,2)}
grid_search = GridSearchCV(KNeighborsClassifier(), KNC_grid, verbose=3)
In [41]:
grid_search.fit(X_train, y_train)
Fitting 3 folds for each of 400 candidates, totalling 1200 fits
[CV] n_neighbors=1, leaf_size=1 ......................................
[CV] ............. n_neighbors=1, leaf_size=1, score=0.984547 - 0.2s
[CV] n_neighbors=1, leaf_size=1 ......................................
[CV] ............. n_neighbors=1, leaf_size=1, score=0.982183 - 0.2s
[CV] n_neighbors=1, leaf_size=1 ......................................
[CV] ............. n_neighbors=1, leaf_size=1, score=0.975281 - 0.2s
[CV] n_neighbors=3, leaf_size=1 ......................................
[CV] ............. n_neighbors=3, leaf_size=1, score=0.986755 - 0.2s
[CV] n_neighbors=3, leaf_size=1 ......................................
[CV] ............. n_neighbors=3, leaf_size=1, score=0.979955 - 0.2s
[CV] n_neighbors=3, leaf_size=1 ......................................
[CV] ............. n_neighbors=3, leaf_size=1, score=0.975281 - 0.3s
[CV] n_neighbors=5, leaf_size=1 ......................................
[CV] ............. n_neighbors=5, leaf_size=1, score=0.988962 - 0.3s
[CV] n_neighbors=5, leaf_size=1 ......................................
[CV] ............. n_neighbors=5, leaf_size=1, score=0.984410 - 0.3s
[CV] n_neighbors=5, leaf_size=1 ......................................
[CV] ............. n_neighbors=5, leaf_size=1, score=0.970787 - 0.3s
[CV] n_neighbors=7, leaf_size=1 ......................................
[CV] ............. n_neighbors=7, leaf_size=1, score=0.982340 - 0.3s
[CV] n_neighbors=7, leaf_size=1 ......................................
[CV] ............. n_neighbors=7, leaf_size=1, score=0.973274 - 0.3s
[CV] n_neighbors=7, leaf_size=1 ......................................
[CV] ............. n_neighbors=7, leaf_size=1, score=0.968539 - 0.3s
[CV] n_neighbors=9, leaf_size=1 ......................................
[CV] ............. n_neighbors=9, leaf_size=1, score=0.986755 - 0.3s
[CV] n_neighbors=9, leaf_size=1 ......................................
[CV] ............. n_neighbors=9, leaf_size=1, score=0.968820 - 0.3s
[CV] n_neighbors=9, leaf_size=1 ......................................
[CV] ............. n_neighbors=9, leaf_size=1, score=0.959551 - 0.3s
[CV] n_neighbors=11, leaf_size=1 .....................................
[CV] ............ n_neighbors=11, leaf_size=1, score=0.984547 - 0.3s
[CV] n_neighbors=11, leaf_size=1 .....................................
[CV] ............ n_neighbors=11, leaf_size=1, score=0.971047 - 0.3s
[CV] n_neighbors=11, leaf_size=1 .....................................
[CV] ............ n_neighbors=11, leaf_size=1, score=0.966292 - 0.3s
[CV] n_neighbors=13, leaf_size=1 .....................................
[CV] ............ n_neighbors=13, leaf_size=1, score=0.982340 - 0.3s
[CV] n_neighbors=13, leaf_size=1 .....................................
[CV] ............ n_neighbors=13, leaf_size=1, score=0.962138 - 0.4s
[CV] n_neighbors=13, leaf_size=1 .....................................
[CV] ............ n_neighbors=13, leaf_size=1, score=0.959551 - 0.4s
[CV] n_neighbors=15, leaf_size=1 .....................................
[CV] ............ n_neighbors=15, leaf_size=1, score=0.984547 - 0.4s
[CV] n_neighbors=15, leaf_size=1 .....................................
[CV] ............ n_neighbors=15, leaf_size=1, score=0.964365 - 0.4s
[CV] n_neighbors=15, leaf_size=1 .....................................
[CV] ............ n_neighbors=15, leaf_size=1, score=0.961798 - 0.4s
[CV] n_neighbors=17, leaf_size=1 .....................................
[CV] ............ n_neighbors=17, leaf_size=1, score=0.975717 - 0.4s
[CV] n_neighbors=17, leaf_size=1 .....................................
[CV] ............ n_neighbors=17, leaf_size=1, score=0.962138 - 0.4s
[CV] n_neighbors=17, leaf_size=1 .....................................
[CV] ............ n_neighbors=17, leaf_size=1, score=0.959551 - 0.4s
[CV] n_neighbors=19, leaf_size=1 .....................................
[CV] ............ n_neighbors=19, leaf_size=1, score=0.973510 - 0.4s
[CV] n_neighbors=19, leaf_size=1 .....................................
[CV] ............ n_neighbors=19, leaf_size=1, score=0.959911 - 0.4s
[CV] n_neighbors=19, leaf_size=1 .....................................
[CV] ............ n_neighbors=19, leaf_size=1, score=0.959551 - 0.5s
[CV] n_neighbors=21, leaf_size=1 .....................................
[CV] ............ n_neighbors=21, leaf_size=1, score=0.973510 - 0.4s
[CV] n_neighbors=21, leaf_size=1 .....................................
[CV] ............ n_neighbors=21, leaf_size=1, score=0.957684 - 0.4s
[Parallel(n_jobs=1)]: Done 1 jobs | elapsed: 0.2s
[Parallel(n_jobs=1)]: Done 32 jobs | elapsed: 10.6s
[CV] n_neighbors=21, leaf_size=1 .....................................
[CV] ............ n_neighbors=21, leaf_size=1, score=0.957303 - 0.4s
[CV] n_neighbors=23, leaf_size=1 .....................................
[CV] ............ n_neighbors=23, leaf_size=1, score=0.964680 - 0.4s
[CV] n_neighbors=23, leaf_size=1 .....................................
[CV] ............ n_neighbors=23, leaf_size=1, score=0.955457 - 0.4s
[CV] n_neighbors=23, leaf_size=1 .....................................
[CV] ............ n_neighbors=23, leaf_size=1, score=0.952809 - 0.4s
[CV] n_neighbors=25, leaf_size=1 .....................................
[CV] ............ n_neighbors=25, leaf_size=1, score=0.966887 - 0.4s
[CV] n_neighbors=25, leaf_size=1 .....................................
[CV] ............ n_neighbors=25, leaf_size=1, score=0.953229 - 0.5s
[CV] n_neighbors=25, leaf_size=1 .....................................
[CV] ............ n_neighbors=25, leaf_size=1, score=0.948315 - 0.5s
[CV] n_neighbors=27, leaf_size=1 .....................................
[CV] ............ n_neighbors=27, leaf_size=1, score=0.964680 - 0.5s
[CV] n_neighbors=27, leaf_size=1 .....................................
[CV] ............ n_neighbors=27, leaf_size=1, score=0.955457 - 0.5s
[CV] n_neighbors=27, leaf_size=1 .....................................
[CV] ............ n_neighbors=27, leaf_size=1, score=0.946067 - 0.4s
[CV] n_neighbors=29, leaf_size=1 .....................................
[CV] ............ n_neighbors=29, leaf_size=1, score=0.960265 - 0.5s
[CV] n_neighbors=29, leaf_size=1 .....................................
[CV] ............ n_neighbors=29, leaf_size=1, score=0.948775 - 0.4s
[CV] n_neighbors=29, leaf_size=1 .....................................
[CV] ............ n_neighbors=29, leaf_size=1, score=0.948315 - 0.5s
[CV] n_neighbors=31, leaf_size=1 .....................................
[CV] ............ n_neighbors=31, leaf_size=1, score=0.958057 - 0.4s
[CV] n_neighbors=31, leaf_size=1 .....................................
[CV] ............ n_neighbors=31, leaf_size=1, score=0.939866 - 0.5s
[CV] n_neighbors=31, leaf_size=1 .....................................
[CV] ............ n_neighbors=31, leaf_size=1, score=0.943820 - 0.4s
[CV] n_neighbors=33, leaf_size=1 .....................................
[CV] ............ n_neighbors=33, leaf_size=1, score=0.955850 - 0.4s
[CV] n_neighbors=33, leaf_size=1 .....................................
[CV] ............ n_neighbors=33, leaf_size=1, score=0.939866 - 0.4s
[CV] n_neighbors=33, leaf_size=1 .....................................
[CV] ............ n_neighbors=33, leaf_size=1, score=0.939326 - 0.4s
[CV] n_neighbors=35, leaf_size=1 .....................................
[CV] ............ n_neighbors=35, leaf_size=1, score=0.955850 - 0.4s
[CV] n_neighbors=35, leaf_size=1 .....................................
[CV] ............ n_neighbors=35, leaf_size=1, score=0.935412 - 0.4s
[CV] n_neighbors=35, leaf_size=1 .....................................
[CV] ............ n_neighbors=35, leaf_size=1, score=0.934831 - 0.5s
[CV] n_neighbors=37, leaf_size=1 .....................................
[CV] ............ n_neighbors=37, leaf_size=1, score=0.955850 - 0.4s
[CV] n_neighbors=37, leaf_size=1 .....................................
[CV] ............ n_neighbors=37, leaf_size=1, score=0.933185 - 0.4s
[CV] n_neighbors=37, leaf_size=1 .....................................
[CV] ............ n_neighbors=37, leaf_size=1, score=0.930337 - 0.4s
[CV] n_neighbors=39, leaf_size=1 .....................................
[CV] ............ n_neighbors=39, leaf_size=1, score=0.955850 - 0.4s
[CV] n_neighbors=39, leaf_size=1 .....................................
[CV] ............ n_neighbors=39, leaf_size=1, score=0.933185 - 0.4s
[CV] n_neighbors=39, leaf_size=1 .....................................
[CV] ............ n_neighbors=39, leaf_size=1, score=0.930337 - 0.4s
[CV] n_neighbors=1, leaf_size=3 ......................................
[CV] ............. n_neighbors=1, leaf_size=3, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=3 ......................................
[CV] ............. n_neighbors=1, leaf_size=3, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=3 ......................................
[CV] ............. n_neighbors=1, leaf_size=3, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=3 ......................................
[CV] ............. n_neighbors=3, leaf_size=3, score=0.986755 - 0.2s
[CV] n_neighbors=3, leaf_size=3 ......................................
[CV] ............. n_neighbors=3, leaf_size=3, score=0.979955 - 0.2s
[CV] n_neighbors=3, leaf_size=3 ......................................
[CV] ............. n_neighbors=3, leaf_size=3, score=0.975281 - 0.2s
[CV] n_neighbors=5, leaf_size=3 ......................................
[CV] ............. n_neighbors=5, leaf_size=3, score=0.988962 - 0.2s
[CV] n_neighbors=5, leaf_size=3 ......................................
[CV] ............. n_neighbors=5, leaf_size=3, score=0.984410 - 0.2s
[CV] n_neighbors=5, leaf_size=3 ......................................
[CV] ............. n_neighbors=5, leaf_size=3, score=0.970787 - 0.2s
[CV] n_neighbors=7, leaf_size=3 ......................................
[CV] ............. n_neighbors=7, leaf_size=3, score=0.982340 - 0.2s
[CV] n_neighbors=7, leaf_size=3 ......................................
[CV] ............. n_neighbors=7, leaf_size=3, score=0.973274 - 0.2s
[CV] n_neighbors=7, leaf_size=3 ......................................
[CV] ............. n_neighbors=7, leaf_size=3, score=0.968539 - 0.2s
[CV] n_neighbors=9, leaf_size=3 ......................................
[CV] ............. n_neighbors=9, leaf_size=3, score=0.986755 - 0.2s
[CV] n_neighbors=9, leaf_size=3 ......................................
[CV] ............. n_neighbors=9, leaf_size=3, score=0.968820 - 0.2s
[CV] n_neighbors=9, leaf_size=3 ......................................
[CV] ............. n_neighbors=9, leaf_size=3, score=0.959551 - 0.2s
[CV] n_neighbors=11, leaf_size=3 .....................................
[CV] ............ n_neighbors=11, leaf_size=3, score=0.984547 - 0.2s
[CV] n_neighbors=11, leaf_size=3 .....................................
[CV] ............ n_neighbors=11, leaf_size=3, score=0.971047 - 0.2s
[CV] n_neighbors=11, leaf_size=3 .....................................
[CV] ............ n_neighbors=11, leaf_size=3, score=0.966292 - 0.2s
[CV] n_neighbors=13, leaf_size=3 .....................................
[CV] ............ n_neighbors=13, leaf_size=3, score=0.982340 - 0.2s
[CV] n_neighbors=13, leaf_size=3 .....................................
[CV] ............ n_neighbors=13, leaf_size=3, score=0.962138 - 0.2s
[CV] n_neighbors=13, leaf_size=3 .....................................
[CV] ............ n_neighbors=13, leaf_size=3, score=0.959551 - 0.2s
[CV] n_neighbors=15, leaf_size=3 .....................................
[CV] ............ n_neighbors=15, leaf_size=3, score=0.984547 - 0.2s
[CV] n_neighbors=15, leaf_size=3 .....................................
[CV] ............ n_neighbors=15, leaf_size=3, score=0.964365 - 0.2s
[CV] n_neighbors=15, leaf_size=3 .....................................
[CV] ............ n_neighbors=15, leaf_size=3, score=0.961798 - 0.2s
[CV] n_neighbors=17, leaf_size=3 .....................................
[CV] ............ n_neighbors=17, leaf_size=3, score=0.975717 - 0.2s
[CV] n_neighbors=17, leaf_size=3 .....................................
[CV] ............ n_neighbors=17, leaf_size=3, score=0.962138 - 0.2s
[CV] n_neighbors=17, leaf_size=3 .....................................
[CV] ............ n_neighbors=17, leaf_size=3, score=0.959551 - 0.2s
[CV] n_neighbors=19, leaf_size=3 .....................................
[CV] ............ n_neighbors=19, leaf_size=3, score=0.973510 - 0.2s
[CV] n_neighbors=19, leaf_size=3 .....................................
[CV] ............ n_neighbors=19, leaf_size=3, score=0.959911 - 0.2s
[CV] n_neighbors=19, leaf_size=3 .....................................
[CV] ............ n_neighbors=19, leaf_size=3, score=0.959551 - 0.2s
[CV] n_neighbors=21, leaf_size=3 .....................................
[CV] ............ n_neighbors=21, leaf_size=3, score=0.973510 - 0.2s
[CV] n_neighbors=21, leaf_size=3 .....................................
[CV] ............ n_neighbors=21, leaf_size=3, score=0.957684 - 0.2s
[CV] n_neighbors=21, leaf_size=3 .....................................
[CV] ............ n_neighbors=21, leaf_size=3, score=0.957303 - 0.2s
[CV] n_neighbors=23, leaf_size=3 .....................................
[CV] ............ n_neighbors=23, leaf_size=3, score=0.964680 - 0.2s
[CV] n_neighbors=23, leaf_size=3 .....................................
[CV] ............ n_neighbors=23, leaf_size=3, score=0.955457 - 0.2s
[CV] n_neighbors=23, leaf_size=3 .....................................
[CV] ............ n_neighbors=23, leaf_size=3, score=0.952809 - 0.2s
[CV] n_neighbors=25, leaf_size=3 .....................................
[CV] ............ n_neighbors=25, leaf_size=3, score=0.966887 - 0.2s
[CV] n_neighbors=25, leaf_size=3 .....................................
[CV] ............ n_neighbors=25, leaf_size=3, score=0.953229 - 0.2s
[CV] n_neighbors=25, leaf_size=3 .....................................
[CV] ............ n_neighbors=25, leaf_size=3, score=0.948315 - 0.2s
[CV] n_neighbors=27, leaf_size=3 .....................................
[CV] ............ n_neighbors=27, leaf_size=3, score=0.964680 - 0.2s
[CV] n_neighbors=27, leaf_size=3 .....................................
[CV] ............ n_neighbors=27, leaf_size=3, score=0.955457 - 0.2s
[CV] n_neighbors=27, leaf_size=3 .....................................
[CV] ............ n_neighbors=27, leaf_size=3, score=0.946067 - 0.2s
[CV] n_neighbors=29, leaf_size=3 .....................................
[CV] ............ n_neighbors=29, leaf_size=3, score=0.960265 - 0.2s
[CV] n_neighbors=29, leaf_size=3 .....................................
[CV] ............ n_neighbors=29, leaf_size=3, score=0.948775 - 0.2s
[CV] n_neighbors=29, leaf_size=3 .....................................
[CV] ............ n_neighbors=29, leaf_size=3, score=0.948315 - 0.2s
[CV] n_neighbors=31, leaf_size=3 .....................................
[CV] ............ n_neighbors=31, leaf_size=3, score=0.958057 - 0.2s
[CV] n_neighbors=31, leaf_size=3 .....................................
[CV] ............ n_neighbors=31, leaf_size=3, score=0.939866 - 0.2s
[CV] n_neighbors=31, leaf_size=3 .....................................
[CV] ............ n_neighbors=31, leaf_size=3, score=0.943820 - 0.2s
[CV] n_neighbors=33, leaf_size=3 .....................................
[CV] ............ n_neighbors=33, leaf_size=3, score=0.955850 - 0.2s
[CV] n_neighbors=33, leaf_size=3 .....................................
[CV] ............ n_neighbors=33, leaf_size=3, score=0.939866 - 0.2s
[CV] n_neighbors=33, leaf_size=3 .....................................
[CV] ............ n_neighbors=33, leaf_size=3, score=0.939326 - 0.2s
[CV] n_neighbors=35, leaf_size=3 .....................................
[CV] ............ n_neighbors=35, leaf_size=3, score=0.955850 - 0.2s
[CV] n_neighbors=35, leaf_size=3 .....................................
[CV] ............ n_neighbors=35, leaf_size=3, score=0.935412 - 0.2s
[CV] n_neighbors=35, leaf_size=3 .....................................
[CV] ............ n_neighbors=35, leaf_size=3, score=0.934831 - 0.2s
[CV] n_neighbors=37, leaf_size=3 .....................................
[CV] ............ n_neighbors=37, leaf_size=3, score=0.955850 - 0.2s
[CV] n_neighbors=37, leaf_size=3 .....................................
[CV] ............ n_neighbors=37, leaf_size=3, score=0.933185 - 0.3s
[CV] n_neighbors=37, leaf_size=3 .....................................
[CV] ............ n_neighbors=37, leaf_size=3, score=0.930337 - 0.2s
[CV] n_neighbors=39, leaf_size=3 .....................................
[CV] ............ n_neighbors=39, leaf_size=3, score=0.955850 - 0.2s
[CV] n_neighbors=39, leaf_size=3 .....................................
[CV] ............ n_neighbors=39, leaf_size=3, score=0.933185 - 0.2s
[CV] n_neighbors=39, leaf_size=3 .....................................
[CV] ............ n_neighbors=39, leaf_size=3, score=0.930337 - 0.2s
[CV] n_neighbors=1, leaf_size=5 ......................................
[CV] ............. n_neighbors=1, leaf_size=5, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=5 ......................................
[CV] ............. n_neighbors=1, leaf_size=5, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=5 ......................................
[CV] ............. n_neighbors=1, leaf_size=5, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=5 ......................................
[CV] ............. n_neighbors=3, leaf_size=5, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=5 ......................................
[CV] ............. n_neighbors=3, leaf_size=5, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=5 ......................................
[CV] ............. n_neighbors=3, leaf_size=5, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=5 ......................................
[CV] ............. n_neighbors=5, leaf_size=5, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=5 ......................................
[CV] ............. n_neighbors=5, leaf_size=5, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=5 ......................................
[CV] ............. n_neighbors=5, leaf_size=5, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=5 ......................................
[CV] ............. n_neighbors=7, leaf_size=5, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=5 ......................................
[CV] ............. n_neighbors=7, leaf_size=5, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=5 ......................................
[CV] ............. n_neighbors=7, leaf_size=5, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=5 ......................................
[CV] ............. n_neighbors=9, leaf_size=5, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=5 ......................................
[CV] ............. n_neighbors=9, leaf_size=5, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=5 ......................................
[CV] ............. n_neighbors=9, leaf_size=5, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=5 .....................................
[CV] ............ n_neighbors=11, leaf_size=5, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=5 .....................................
[CV] ............ n_neighbors=11, leaf_size=5, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=5 .....................................
[CV] ............ n_neighbors=11, leaf_size=5, score=0.966292 - 0.1s
[CV] n_neighbors=13, leaf_size=5 .....................................
[CV] ............ n_neighbors=13, leaf_size=5, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=5 .....................................
[CV] ............ n_neighbors=13, leaf_size=5, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=5 .....................................
[CV] ............ n_neighbors=13, leaf_size=5, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=5 .....................................
[CV] ............ n_neighbors=15, leaf_size=5, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=5 .....................................
[CV] ............ n_neighbors=15, leaf_size=5, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=5 .....................................
[CV] ............ n_neighbors=15, leaf_size=5, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=5 .....................................
[CV] ............ n_neighbors=17, leaf_size=5, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=5 .....................................
[CV] ............ n_neighbors=17, leaf_size=5, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=5 .....................................
[CV] ............ n_neighbors=17, leaf_size=5, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=5 .....................................
[CV] ............ n_neighbors=19, leaf_size=5, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=5 .....................................
[CV] ............ n_neighbors=19, leaf_size=5, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=5 .....................................
[CV] ............ n_neighbors=19, leaf_size=5, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=5 .....................................
[CV] ............ n_neighbors=21, leaf_size=5, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=5 .....................................
[CV] ............ n_neighbors=21, leaf_size=5, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=5 .....................................
[CV] ............ n_neighbors=21, leaf_size=5, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=5 .....................................
[CV] ............ n_neighbors=23, leaf_size=5, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=5 .....................................
[CV] ............ n_neighbors=23, leaf_size=5, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=5 .....................................
[CV] ............ n_neighbors=23, leaf_size=5, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=5 .....................................
[CV] ............ n_neighbors=25, leaf_size=5, score=0.964680 - 0.1s
[CV] n_neighbors=25, leaf_size=5 .....................................
[CV] ............ n_neighbors=25, leaf_size=5, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=5 .....................................
[CV] ............ n_neighbors=25, leaf_size=5, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=5 .....................................
[CV] ............ n_neighbors=27, leaf_size=5, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=5 .....................................
[CV] ............ n_neighbors=27, leaf_size=5, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=5 .....................................
[CV] ............ n_neighbors=27, leaf_size=5, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=5 .....................................
[CV] ............ n_neighbors=29, leaf_size=5, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=5 .....................................
[CV] ............ n_neighbors=29, leaf_size=5, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=5 .....................................
[CV] ............ n_neighbors=29, leaf_size=5, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=5 .....................................
[CV] ............ n_neighbors=31, leaf_size=5, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=5 .....................................
[CV] ............ n_neighbors=31, leaf_size=5, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=5 .....................................
[CV] ............ n_neighbors=31, leaf_size=5, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=5 .....................................
[CV] ............ n_neighbors=33, leaf_size=5, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=5 .....................................
[CV] ............ n_neighbors=33, leaf_size=5, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=5 .....................................
[CV] ............ n_neighbors=33, leaf_size=5, score=0.939326 - 0.2s
[CV] n_neighbors=35, leaf_size=5 .....................................
[CV] ............ n_neighbors=35, leaf_size=5, score=0.955850 - 0.2s
[CV] n_neighbors=35, leaf_size=5 .....................................
[CV] ............ n_neighbors=35, leaf_size=5, score=0.935412 - 0.2s
[CV] n_neighbors=35, leaf_size=5 .....................................
[CV] ............ n_neighbors=35, leaf_size=5, score=0.934831 - 0.2s
[CV] n_neighbors=37, leaf_size=5 .....................................
[CV] ............ n_neighbors=37, leaf_size=5, score=0.955850 - 0.2s
[CV] n_neighbors=37, leaf_size=5 .....................................
[CV] ............ n_neighbors=37, leaf_size=5, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=5 .....................................
[CV] ............ n_neighbors=37, leaf_size=5, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=5 .....................................
[CV] ............ n_neighbors=39, leaf_size=5, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=5 .....................................
[CV] ............ n_neighbors=39, leaf_size=5, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=5 .....................................
[CV] ............ n_neighbors=39, leaf_size=5, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=7 ......................................
[CV] ............. n_neighbors=1, leaf_size=7, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=7 ......................................
[CV] ............. n_neighbors=1, leaf_size=7, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=7 ......................................
[CV] ............. n_neighbors=1, leaf_size=7, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=7 ......................................
[CV] ............. n_neighbors=3, leaf_size=7, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=7 ......................................
[CV] ............. n_neighbors=3, leaf_size=7, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=7 ......................................
[CV] ............. n_neighbors=3, leaf_size=7, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=7 ......................................
[CV] ............. n_neighbors=5, leaf_size=7, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=7 ......................................
[CV] ............. n_neighbors=5, leaf_size=7, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=7 ......................................
[CV] ............. n_neighbors=5, leaf_size=7, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=7 ......................................
[CV] ............. n_neighbors=7, leaf_size=7, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=7 ......................................
[CV] ............. n_neighbors=7, leaf_size=7, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=7 ......................................
[CV] ............. n_neighbors=7, leaf_size=7, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=7 ......................................
[CV] ............. n_neighbors=9, leaf_size=7, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=7 ......................................
[CV] ............. n_neighbors=9, leaf_size=7, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=7 ......................................
[CV] ............. n_neighbors=9, leaf_size=7, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=7 .....................................
[CV] ............ n_neighbors=11, leaf_size=7, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=7 .....................................
[CV] ............ n_neighbors=11, leaf_size=7, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=7 .....................................
[CV] ............ n_neighbors=11, leaf_size=7, score=0.966292 - 0.1s
[CV] n_neighbors=13, leaf_size=7 .....................................
[CV] ............ n_neighbors=13, leaf_size=7, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=7 .....................................
[CV] ............ n_neighbors=13, leaf_size=7, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=7 .....................................
[CV] ............ n_neighbors=13, leaf_size=7, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=7 .....................................
[CV] ............ n_neighbors=15, leaf_size=7, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=7 .....................................
[CV] ............ n_neighbors=15, leaf_size=7, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=7 .....................................
[CV] ............ n_neighbors=15, leaf_size=7, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=7 .....................................
[CV] ............ n_neighbors=17, leaf_size=7, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=7 .....................................
[CV] ............ n_neighbors=17, leaf_size=7, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=7 .....................................
[CV] ............ n_neighbors=17, leaf_size=7, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=7 .....................................
[CV] ............ n_neighbors=19, leaf_size=7, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=7 .....................................
[CV] ............ n_neighbors=19, leaf_size=7, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=7 .....................................
[CV] ............ n_neighbors=19, leaf_size=7, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=7 .....................................
[CV] ............ n_neighbors=21, leaf_size=7, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=7 .....................................
[CV] ............ n_neighbors=21, leaf_size=7, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=7 .....................................
[CV] ............ n_neighbors=21, leaf_size=7, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=7 .....................................
[CV] ............ n_neighbors=23, leaf_size=7, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=7 .....................................
[CV] ............ n_neighbors=23, leaf_size=7, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=7 .....................................
[CV] ............ n_neighbors=23, leaf_size=7, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=7 .....................................
[CV] ............ n_neighbors=25, leaf_size=7, score=0.962472 - 0.1s
[CV] n_neighbors=25, leaf_size=7 .....................................
[CV] ............ n_neighbors=25, leaf_size=7, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=7 .....................................
[CV] ............ n_neighbors=25, leaf_size=7, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=7 .....................................
[CV] ............ n_neighbors=27, leaf_size=7, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=7 .....................................
[CV] ............ n_neighbors=27, leaf_size=7, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=7 .....................................
[CV] ............ n_neighbors=27, leaf_size=7, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=7 .....................................
[CV] ............ n_neighbors=29, leaf_size=7, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=7 .....................................
[CV] ............ n_neighbors=29, leaf_size=7, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=7 .....................................
[CV] ............ n_neighbors=29, leaf_size=7, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=7 .....................................
[CV] ............ n_neighbors=31, leaf_size=7, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=7 .....................................
[CV] ............ n_neighbors=31, leaf_size=7, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=7 .....................................
[CV] ............ n_neighbors=31, leaf_size=7, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=7 .....................................
[CV] ............ n_neighbors=33, leaf_size=7, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=7 .....................................
[CV] ............ n_neighbors=33, leaf_size=7, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=7 .....................................
[CV] ............ n_neighbors=33, leaf_size=7, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=7 .....................................
[CV] ............ n_neighbors=35, leaf_size=7, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=7 .....................................
[CV] ............ n_neighbors=35, leaf_size=7, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=7 .....................................
[CV] ............ n_neighbors=35, leaf_size=7, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=7 .....................................
[CV] ............ n_neighbors=37, leaf_size=7, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=7 .....................................
[CV] ............ n_neighbors=37, leaf_size=7, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=7 .....................................
[CV] ............ n_neighbors=37, leaf_size=7, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=7 .....................................
[CV] ............ n_neighbors=39, leaf_size=7, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=7 .....................................
[CV] ............ n_neighbors=39, leaf_size=7, score=0.933185 - 0.2s
[CV] n_neighbors=39, leaf_size=7 .....................................
[CV] ............ n_neighbors=39, leaf_size=7, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=9 ......................................
[CV] ............. n_neighbors=1, leaf_size=9, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=9 ......................................
[CV] ............. n_neighbors=1, leaf_size=9, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=9 ......................................
[CV] ............. n_neighbors=1, leaf_size=9, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=9 ......................................
[CV] ............. n_neighbors=3, leaf_size=9, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=9 ......................................
[CV] ............. n_neighbors=3, leaf_size=9, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=9 ......................................
[CV] ............. n_neighbors=3, leaf_size=9, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=9 ......................................
[CV] ............. n_neighbors=5, leaf_size=9, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=9 ......................................
[CV] ............. n_neighbors=5, leaf_size=9, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=9 ......................................
[CV] ............. n_neighbors=5, leaf_size=9, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=9 ......................................
[CV] ............. n_neighbors=7, leaf_size=9, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=9 ......................................
[CV] ............. n_neighbors=7, leaf_size=9, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=9 ......................................
[CV] ............. n_neighbors=7, leaf_size=9, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=9 ......................................
[CV] ............. n_neighbors=9, leaf_size=9, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=9 ......................................
[CV] ............. n_neighbors=9, leaf_size=9, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=9 ......................................
[CV] ............. n_neighbors=9, leaf_size=9, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=9 .....................................
[CV] ............ n_neighbors=11, leaf_size=9, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=9 .....................................
[CV] ............ n_neighbors=11, leaf_size=9, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=9 .....................................
[CV] ............ n_neighbors=11, leaf_size=9, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=9 .....................................
[CV] ............ n_neighbors=13, leaf_size=9, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=9 .....................................
[CV] ............ n_neighbors=13, leaf_size=9, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=9 .....................................
[CV] ............ n_neighbors=13, leaf_size=9, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=9 .....................................
[CV] ............ n_neighbors=15, leaf_size=9, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=9 .....................................
[CV] ............ n_neighbors=15, leaf_size=9, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=9 .....................................
[CV] ............ n_neighbors=15, leaf_size=9, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=9 .....................................
[CV] ............ n_neighbors=17, leaf_size=9, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=9 .....................................
[CV] ............ n_neighbors=17, leaf_size=9, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=9 .....................................
[CV] ............ n_neighbors=17, leaf_size=9, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=9 .....................................
[CV] ............ n_neighbors=19, leaf_size=9, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=9 .....................................
[CV] ............ n_neighbors=19, leaf_size=9, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=9 .....................................
[CV] ............ n_neighbors=19, leaf_size=9, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=9 .....................................
[CV] ............ n_neighbors=21, leaf_size=9, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=9 .....................................
[CV] ............ n_neighbors=21, leaf_size=9, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=9 .....................................
[CV] ............ n_neighbors=21, leaf_size=9, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=9 .....................................
[CV] ............ n_neighbors=23, leaf_size=9, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=9 .....................................
[CV] ............ n_neighbors=23, leaf_size=9, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=9 .....................................
[CV] ............ n_neighbors=23, leaf_size=9, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=9 .....................................
[CV] ............ n_neighbors=25, leaf_size=9, score=0.962472 - 0.1s
[CV] n_neighbors=25, leaf_size=9 .....................................
[CV] ............ n_neighbors=25, leaf_size=9, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=9 .....................................
[CV] ............ n_neighbors=25, leaf_size=9, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=9 .....................................
[CV] ............ n_neighbors=27, leaf_size=9, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=9 .....................................
[CV] ............ n_neighbors=27, leaf_size=9, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=9 .....................................
[CV] ............ n_neighbors=27, leaf_size=9, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=9 .....................................
[CV] ............ n_neighbors=29, leaf_size=9, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=9 .....................................
[CV] ............ n_neighbors=29, leaf_size=9, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=9 .....................................
[CV] ............ n_neighbors=29, leaf_size=9, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=9 .....................................
[CV] ............ n_neighbors=31, leaf_size=9, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=9 .....................................
[CV] ............ n_neighbors=31, leaf_size=9, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=9 .....................................
[CV] ............ n_neighbors=31, leaf_size=9, score=0.943820 - 0.1s
[Parallel(n_jobs=1)]: Done 128 jobs | elapsed: 36.4s
[Parallel(n_jobs=1)]: Done 288 jobs | elapsed: 53.6s
[CV] n_neighbors=33, leaf_size=9 .....................................
[CV] ............ n_neighbors=33, leaf_size=9, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=9 .....................................
[CV] ............ n_neighbors=33, leaf_size=9, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=9 .....................................
[CV] ............ n_neighbors=33, leaf_size=9, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=9 .....................................
[CV] ............ n_neighbors=35, leaf_size=9, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=9 .....................................
[CV] ............ n_neighbors=35, leaf_size=9, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=9 .....................................
[CV] ............ n_neighbors=35, leaf_size=9, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=9 .....................................
[CV] ............ n_neighbors=37, leaf_size=9, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=9 .....................................
[CV] ............ n_neighbors=37, leaf_size=9, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=9 .....................................
[CV] ............ n_neighbors=37, leaf_size=9, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=9 .....................................
[CV] ............ n_neighbors=39, leaf_size=9, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=9 .....................................
[CV] ............ n_neighbors=39, leaf_size=9, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=9 .....................................
[CV] ............ n_neighbors=39, leaf_size=9, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=11 .....................................
[CV] ............ n_neighbors=1, leaf_size=11, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=11 .....................................
[CV] ............ n_neighbors=1, leaf_size=11, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=11 .....................................
[CV] ............ n_neighbors=1, leaf_size=11, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=11 .....................................
[CV] ............ n_neighbors=3, leaf_size=11, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=11 .....................................
[CV] ............ n_neighbors=3, leaf_size=11, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=11 .....................................
[CV] ............ n_neighbors=3, leaf_size=11, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=11 .....................................
[CV] ............ n_neighbors=5, leaf_size=11, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=11 .....................................
[CV] ............ n_neighbors=5, leaf_size=11, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=11 .....................................
[CV] ............ n_neighbors=5, leaf_size=11, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=11 .....................................
[CV] ............ n_neighbors=7, leaf_size=11, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=11 .....................................
[CV] ............ n_neighbors=7, leaf_size=11, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=11 .....................................
[CV] ............ n_neighbors=7, leaf_size=11, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=11 .....................................
[CV] ............ n_neighbors=9, leaf_size=11, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=11 .....................................
[CV] ............ n_neighbors=9, leaf_size=11, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=11 .....................................
[CV] ............ n_neighbors=9, leaf_size=11, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=11 ....................................
[CV] ........... n_neighbors=11, leaf_size=11, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=11 ....................................
[CV] ........... n_neighbors=11, leaf_size=11, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=11 ....................................
[CV] ........... n_neighbors=11, leaf_size=11, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=11 ....................................
[CV] ........... n_neighbors=13, leaf_size=11, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=11 ....................................
[CV] ........... n_neighbors=13, leaf_size=11, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=11 ....................................
[CV] ........... n_neighbors=13, leaf_size=11, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=11 ....................................
[CV] ........... n_neighbors=15, leaf_size=11, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=11 ....................................
[CV] ........... n_neighbors=15, leaf_size=11, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=11 ....................................
[CV] ........... n_neighbors=15, leaf_size=11, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=11 ....................................
[CV] ........... n_neighbors=17, leaf_size=11, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=11 ....................................
[CV] ........... n_neighbors=17, leaf_size=11, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=11 ....................................
[CV] ........... n_neighbors=17, leaf_size=11, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=11 ....................................
[CV] ........... n_neighbors=19, leaf_size=11, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=11 ....................................
[CV] ........... n_neighbors=19, leaf_size=11, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=11 ....................................
[CV] ........... n_neighbors=19, leaf_size=11, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=11 ....................................
[CV] ........... n_neighbors=21, leaf_size=11, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=11 ....................................
[CV] ........... n_neighbors=21, leaf_size=11, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=11 ....................................
[CV] ........... n_neighbors=21, leaf_size=11, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=11 ....................................
[CV] ........... n_neighbors=23, leaf_size=11, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=11 ....................................
[CV] ........... n_neighbors=23, leaf_size=11, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=11 ....................................
[CV] ........... n_neighbors=23, leaf_size=11, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=11 ....................................
[CV] ........... n_neighbors=25, leaf_size=11, score=0.962472 - 0.1s
[CV] n_neighbors=25, leaf_size=11 ....................................
[CV] ........... n_neighbors=25, leaf_size=11, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=11 ....................................
[CV] ........... n_neighbors=25, leaf_size=11, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=11 ....................................
[CV] ........... n_neighbors=27, leaf_size=11, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=11 ....................................
[CV] ........... n_neighbors=27, leaf_size=11, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=11 ....................................
[CV] ........... n_neighbors=27, leaf_size=11, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=11 ....................................
[CV] ........... n_neighbors=29, leaf_size=11, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=11 ....................................
[CV] ........... n_neighbors=29, leaf_size=11, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=11 ....................................
[CV] ........... n_neighbors=29, leaf_size=11, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=11 ....................................
[CV] ........... n_neighbors=31, leaf_size=11, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=11 ....................................
[CV] ........... n_neighbors=31, leaf_size=11, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=11 ....................................
[CV] ........... n_neighbors=31, leaf_size=11, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=11 ....................................
[CV] ........... n_neighbors=33, leaf_size=11, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=11 ....................................
[CV] ........... n_neighbors=33, leaf_size=11, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=11 ....................................
[CV] ........... n_neighbors=33, leaf_size=11, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=11 ....................................
[CV] ........... n_neighbors=35, leaf_size=11, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=11 ....................................
[CV] ........... n_neighbors=35, leaf_size=11, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=11 ....................................
[CV] ........... n_neighbors=35, leaf_size=11, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=11 ....................................
[CV] ........... n_neighbors=37, leaf_size=11, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=11 ....................................
[CV] ........... n_neighbors=37, leaf_size=11, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=11 ....................................
[CV] ........... n_neighbors=37, leaf_size=11, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=11 ....................................
[CV] ........... n_neighbors=39, leaf_size=11, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=11 ....................................
[CV] ........... n_neighbors=39, leaf_size=11, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=11 ....................................
[CV] ........... n_neighbors=39, leaf_size=11, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=13 .....................................
[CV] ............ n_neighbors=1, leaf_size=13, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=13 .....................................
[CV] ............ n_neighbors=1, leaf_size=13, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=13 .....................................
[CV] ............ n_neighbors=1, leaf_size=13, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=13 .....................................
[CV] ............ n_neighbors=3, leaf_size=13, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=13 .....................................
[CV] ............ n_neighbors=3, leaf_size=13, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=13 .....................................
[CV] ............ n_neighbors=3, leaf_size=13, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=13 .....................................
[CV] ............ n_neighbors=5, leaf_size=13, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=13 .....................................
[CV] ............ n_neighbors=5, leaf_size=13, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=13 .....................................
[CV] ............ n_neighbors=5, leaf_size=13, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=13 .....................................
[CV] ............ n_neighbors=7, leaf_size=13, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=13 .....................................
[CV] ............ n_neighbors=7, leaf_size=13, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=13 .....................................
[CV] ............ n_neighbors=7, leaf_size=13, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=13 .....................................
[CV] ............ n_neighbors=9, leaf_size=13, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=13 .....................................
[CV] ............ n_neighbors=9, leaf_size=13, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=13 .....................................
[CV] ............ n_neighbors=9, leaf_size=13, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=13 ....................................
[CV] ........... n_neighbors=11, leaf_size=13, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=13 ....................................
[CV] ........... n_neighbors=11, leaf_size=13, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=13 ....................................
[CV] ........... n_neighbors=11, leaf_size=13, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=13 ....................................
[CV] ........... n_neighbors=13, leaf_size=13, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=13 ....................................
[CV] ........... n_neighbors=13, leaf_size=13, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=13 ....................................
[CV] ........... n_neighbors=13, leaf_size=13, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=13 ....................................
[CV] ........... n_neighbors=15, leaf_size=13, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=13 ....................................
[CV] ........... n_neighbors=15, leaf_size=13, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=13 ....................................
[CV] ........... n_neighbors=15, leaf_size=13, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=13 ....................................
[CV] ........... n_neighbors=17, leaf_size=13, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=13 ....................................
[CV] ........... n_neighbors=17, leaf_size=13, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=13 ....................................
[CV] ........... n_neighbors=17, leaf_size=13, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=13 ....................................
[CV] ........... n_neighbors=19, leaf_size=13, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=13 ....................................
[CV] ........... n_neighbors=19, leaf_size=13, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=13 ....................................
[CV] ........... n_neighbors=19, leaf_size=13, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=13 ....................................
[CV] ........... n_neighbors=21, leaf_size=13, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=13 ....................................
[CV] ........... n_neighbors=21, leaf_size=13, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=13 ....................................
[CV] ........... n_neighbors=21, leaf_size=13, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=13 ....................................
[CV] ........... n_neighbors=23, leaf_size=13, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=13 ....................................
[CV] ........... n_neighbors=23, leaf_size=13, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=13 ....................................
[CV] ........... n_neighbors=23, leaf_size=13, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=13 ....................................
[CV] ........... n_neighbors=25, leaf_size=13, score=0.962472 - 0.1s
[CV] n_neighbors=25, leaf_size=13 ....................................
[CV] ........... n_neighbors=25, leaf_size=13, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=13 ....................................
[CV] ........... n_neighbors=25, leaf_size=13, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=13 ....................................
[CV] ........... n_neighbors=27, leaf_size=13, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=13 ....................................
[CV] ........... n_neighbors=27, leaf_size=13, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=13 ....................................
[CV] ........... n_neighbors=27, leaf_size=13, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=13 ....................................
[CV] ........... n_neighbors=29, leaf_size=13, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=13 ....................................
[CV] ........... n_neighbors=29, leaf_size=13, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=13 ....................................
[CV] ........... n_neighbors=29, leaf_size=13, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=13 ....................................
[CV] ........... n_neighbors=31, leaf_size=13, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=13 ....................................
[CV] ........... n_neighbors=31, leaf_size=13, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=13 ....................................
[CV] ........... n_neighbors=31, leaf_size=13, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=13 ....................................
[CV] ........... n_neighbors=33, leaf_size=13, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=13 ....................................
[CV] ........... n_neighbors=33, leaf_size=13, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=13 ....................................
[CV] ........... n_neighbors=33, leaf_size=13, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=13 ....................................
[CV] ........... n_neighbors=35, leaf_size=13, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=13 ....................................
[CV] ........... n_neighbors=35, leaf_size=13, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=13 ....................................
[CV] ........... n_neighbors=35, leaf_size=13, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=13 ....................................
[CV] ........... n_neighbors=37, leaf_size=13, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=13 ....................................
[CV] ........... n_neighbors=37, leaf_size=13, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=13 ....................................
[CV] ........... n_neighbors=37, leaf_size=13, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=13 ....................................
[CV] ........... n_neighbors=39, leaf_size=13, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=13 ....................................
[CV] ........... n_neighbors=39, leaf_size=13, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=13 ....................................
[CV] ........... n_neighbors=39, leaf_size=13, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=15 .....................................
[CV] ............ n_neighbors=1, leaf_size=15, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=15 .....................................
[CV] ............ n_neighbors=1, leaf_size=15, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=15 .....................................
[CV] ............ n_neighbors=1, leaf_size=15, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=15 .....................................
[CV] ............ n_neighbors=3, leaf_size=15, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=15 .....................................
[CV] ............ n_neighbors=3, leaf_size=15, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=15 .....................................
[CV] ............ n_neighbors=3, leaf_size=15, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=15 .....................................
[CV] ............ n_neighbors=5, leaf_size=15, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=15 .....................................
[CV] ............ n_neighbors=5, leaf_size=15, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=15 .....................................
[CV] ............ n_neighbors=5, leaf_size=15, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=15 .....................................
[CV] ............ n_neighbors=7, leaf_size=15, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=15 .....................................
[CV] ............ n_neighbors=7, leaf_size=15, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=15 .....................................
[CV] ............ n_neighbors=7, leaf_size=15, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=15 .....................................
[CV] ............ n_neighbors=9, leaf_size=15, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=15 .....................................
[CV] ............ n_neighbors=9, leaf_size=15, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=15 .....................................
[CV] ............ n_neighbors=9, leaf_size=15, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=15 ....................................
[CV] ........... n_neighbors=11, leaf_size=15, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=15 ....................................
[CV] ........... n_neighbors=11, leaf_size=15, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=15 ....................................
[CV] ........... n_neighbors=11, leaf_size=15, score=0.964045 - 0.0s
[CV] n_neighbors=13, leaf_size=15 ....................................
[CV] ........... n_neighbors=13, leaf_size=15, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=15 ....................................
[CV] ........... n_neighbors=13, leaf_size=15, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=15 ....................................
[CV] ........... n_neighbors=13, leaf_size=15, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=15 ....................................
[CV] ........... n_neighbors=15, leaf_size=15, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=15 ....................................
[CV] ........... n_neighbors=15, leaf_size=15, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=15 ....................................
[CV] ........... n_neighbors=15, leaf_size=15, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=15 ....................................
[CV] ........... n_neighbors=17, leaf_size=15, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=15 ....................................
[CV] ........... n_neighbors=17, leaf_size=15, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=15 ....................................
[CV] ........... n_neighbors=17, leaf_size=15, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=15 ....................................
[CV] ........... n_neighbors=19, leaf_size=15, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=15 ....................................
[CV] ........... n_neighbors=19, leaf_size=15, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=15 ....................................
[CV] ........... n_neighbors=19, leaf_size=15, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=15 ....................................
[CV] ........... n_neighbors=21, leaf_size=15, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=15 ....................................
[CV] ........... n_neighbors=21, leaf_size=15, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=15 ....................................
[CV] ........... n_neighbors=21, leaf_size=15, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=15 ....................................
[CV] ........... n_neighbors=23, leaf_size=15, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=15 ....................................
[CV] ........... n_neighbors=23, leaf_size=15, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=15 ....................................
[CV] ........... n_neighbors=23, leaf_size=15, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=15 ....................................
[CV] ........... n_neighbors=25, leaf_size=15, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=15 ....................................
[CV] ........... n_neighbors=25, leaf_size=15, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=15 ....................................
[CV] ........... n_neighbors=25, leaf_size=15, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=15 ....................................
[CV] ........... n_neighbors=27, leaf_size=15, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=15 ....................................
[CV] ........... n_neighbors=27, leaf_size=15, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=15 ....................................
[CV] ........... n_neighbors=27, leaf_size=15, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=15 ....................................
[CV] ........... n_neighbors=29, leaf_size=15, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=15 ....................................
[CV] ........... n_neighbors=29, leaf_size=15, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=15 ....................................
[CV] ........... n_neighbors=29, leaf_size=15, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=15 ....................................
[CV] ........... n_neighbors=31, leaf_size=15, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=15 ....................................
[CV] ........... n_neighbors=31, leaf_size=15, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=15 ....................................
[CV] ........... n_neighbors=31, leaf_size=15, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=15 ....................................
[CV] ........... n_neighbors=33, leaf_size=15, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=15 ....................................
[CV] ........... n_neighbors=33, leaf_size=15, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=15 ....................................
[CV] ........... n_neighbors=33, leaf_size=15, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=15 ....................................
[CV] ........... n_neighbors=35, leaf_size=15, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=15 ....................................
[CV] ........... n_neighbors=35, leaf_size=15, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=15 ....................................
[CV] ........... n_neighbors=35, leaf_size=15, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=15 ....................................
[CV] ........... n_neighbors=37, leaf_size=15, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=15 ....................................
[CV] ........... n_neighbors=37, leaf_size=15, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=15 ....................................
[CV] ........... n_neighbors=37, leaf_size=15, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=15 ....................................
[CV] ........... n_neighbors=39, leaf_size=15, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=15 ....................................
[CV] ........... n_neighbors=39, leaf_size=15, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=15 ....................................
[CV] ........... n_neighbors=39, leaf_size=15, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=17 .....................................
[CV] ............ n_neighbors=1, leaf_size=17, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=17 .....................................
[CV] ............ n_neighbors=1, leaf_size=17, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=17 .....................................
[CV] ............ n_neighbors=1, leaf_size=17, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=17 .....................................
[CV] ............ n_neighbors=3, leaf_size=17, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=17 .....................................
[CV] ............ n_neighbors=3, leaf_size=17, score=0.979955 - 0.0s
[CV] n_neighbors=3, leaf_size=17 .....................................
[CV] ............ n_neighbors=3, leaf_size=17, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=17 .....................................
[CV] ............ n_neighbors=5, leaf_size=17, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=17 .....................................
[CV] ............ n_neighbors=5, leaf_size=17, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=17 .....................................
[CV] ............ n_neighbors=5, leaf_size=17, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=17 .....................................
[CV] ............ n_neighbors=7, leaf_size=17, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=17 .....................................
[CV] ............ n_neighbors=7, leaf_size=17, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=17 .....................................
[CV] ............ n_neighbors=7, leaf_size=17, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=17 .....................................
[CV] ............ n_neighbors=9, leaf_size=17, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=17 .....................................
[CV] ............ n_neighbors=9, leaf_size=17, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=17 .....................................
[CV] ............ n_neighbors=9, leaf_size=17, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=17 ....................................
[CV] ........... n_neighbors=11, leaf_size=17, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=17 ....................................
[CV] ........... n_neighbors=11, leaf_size=17, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=17 ....................................
[CV] ........... n_neighbors=11, leaf_size=17, score=0.964045 - 0.0s
[CV] n_neighbors=13, leaf_size=17 ....................................
[CV] ........... n_neighbors=13, leaf_size=17, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=17 ....................................
[CV] ........... n_neighbors=13, leaf_size=17, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=17 ....................................
[CV] ........... n_neighbors=13, leaf_size=17, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=17 ....................................
[CV] ........... n_neighbors=15, leaf_size=17, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=17 ....................................
[CV] ........... n_neighbors=15, leaf_size=17, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=17 ....................................
[CV] ........... n_neighbors=15, leaf_size=17, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=17 ....................................
[CV] ........... n_neighbors=17, leaf_size=17, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=17 ....................................
[CV] ........... n_neighbors=17, leaf_size=17, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=17 ....................................
[CV] ........... n_neighbors=17, leaf_size=17, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=17 ....................................
[CV] ........... n_neighbors=19, leaf_size=17, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=17 ....................................
[CV] ........... n_neighbors=19, leaf_size=17, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=17 ....................................
[CV] ........... n_neighbors=19, leaf_size=17, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=17 ....................................
[CV] ........... n_neighbors=21, leaf_size=17, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=17 ....................................
[CV] ........... n_neighbors=21, leaf_size=17, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=17 ....................................
[CV] ........... n_neighbors=21, leaf_size=17, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=17 ....................................
[CV] ........... n_neighbors=23, leaf_size=17, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=17 ....................................
[CV] ........... n_neighbors=23, leaf_size=17, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=17 ....................................
[CV] ........... n_neighbors=23, leaf_size=17, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=17 ....................................
[CV] ........... n_neighbors=25, leaf_size=17, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=17 ....................................
[CV] ........... n_neighbors=25, leaf_size=17, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=17 ....................................
[CV] ........... n_neighbors=25, leaf_size=17, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=17 ....................................
[CV] ........... n_neighbors=27, leaf_size=17, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=17 ....................................
[CV] ........... n_neighbors=27, leaf_size=17, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=17 ....................................
[CV] ........... n_neighbors=27, leaf_size=17, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=17 ....................................
[CV] ........... n_neighbors=29, leaf_size=17, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=17 ....................................
[CV] ........... n_neighbors=29, leaf_size=17, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=17 ....................................
[CV] ........... n_neighbors=29, leaf_size=17, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=17 ....................................
[CV] ........... n_neighbors=31, leaf_size=17, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=17 ....................................
[CV] ........... n_neighbors=31, leaf_size=17, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=17 ....................................
[CV] ........... n_neighbors=31, leaf_size=17, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=17 ....................................
[CV] ........... n_neighbors=33, leaf_size=17, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=17 ....................................
[CV] ........... n_neighbors=33, leaf_size=17, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=17 ....................................
[CV] ........... n_neighbors=33, leaf_size=17, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=17 ....................................
[CV] ........... n_neighbors=35, leaf_size=17, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=17 ....................................
[CV] ........... n_neighbors=35, leaf_size=17, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=17 ....................................
[CV] ........... n_neighbors=35, leaf_size=17, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=17 ....................................
[CV] ........... n_neighbors=37, leaf_size=17, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=17 ....................................
[CV] ........... n_neighbors=37, leaf_size=17, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=17 ....................................
[CV] ........... n_neighbors=37, leaf_size=17, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=17 ....................................
[CV] ........... n_neighbors=39, leaf_size=17, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=17 ....................................
[CV] ........... n_neighbors=39, leaf_size=17, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=17 ....................................
[CV] ........... n_neighbors=39, leaf_size=17, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=19 .....................................
[CV] ............ n_neighbors=1, leaf_size=19, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=19 .....................................
[CV] ............ n_neighbors=1, leaf_size=19, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=19 .....................................
[CV] ............ n_neighbors=1, leaf_size=19, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=19 .....................................
[CV] ............ n_neighbors=3, leaf_size=19, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=19 .....................................
[CV] ............ n_neighbors=3, leaf_size=19, score=0.979955 - 0.0s
[CV] n_neighbors=3, leaf_size=19 .....................................
[CV] ............ n_neighbors=3, leaf_size=19, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=19 .....................................
[CV] ............ n_neighbors=5, leaf_size=19, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=19 .....................................
[CV] ............ n_neighbors=5, leaf_size=19, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=19 .....................................
[CV] ............ n_neighbors=5, leaf_size=19, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=19 .....................................
[CV] ............ n_neighbors=7, leaf_size=19, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=19 .....................................
[CV] ............ n_neighbors=7, leaf_size=19, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=19 .....................................
[CV] ............ n_neighbors=7, leaf_size=19, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=19 .....................................
[CV] ............ n_neighbors=9, leaf_size=19, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=19 .....................................
[CV] ............ n_neighbors=9, leaf_size=19, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=19 .....................................
[CV] ............ n_neighbors=9, leaf_size=19, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=19 ....................................
[CV] ........... n_neighbors=11, leaf_size=19, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=19 ....................................
[CV] ........... n_neighbors=11, leaf_size=19, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=19 ....................................
[CV] ........... n_neighbors=11, leaf_size=19, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=19 ....................................
[CV] ........... n_neighbors=13, leaf_size=19, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=19 ....................................
[CV] ........... n_neighbors=13, leaf_size=19, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=19 ....................................
[CV] ........... n_neighbors=13, leaf_size=19, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=19 ....................................
[CV] ........... n_neighbors=15, leaf_size=19, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=19 ....................................
[CV] ........... n_neighbors=15, leaf_size=19, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=19 ....................................
[CV] ........... n_neighbors=15, leaf_size=19, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=19 ....................................
[CV] ........... n_neighbors=17, leaf_size=19, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=19 ....................................
[CV] ........... n_neighbors=17, leaf_size=19, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=19 ....................................
[CV] ........... n_neighbors=17, leaf_size=19, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=19 ....................................
[CV] ........... n_neighbors=19, leaf_size=19, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=19 ....................................
[CV] ........... n_neighbors=19, leaf_size=19, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=19 ....................................
[CV] ........... n_neighbors=19, leaf_size=19, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=19 ....................................
[CV] ........... n_neighbors=21, leaf_size=19, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=19 ....................................
[CV] ........... n_neighbors=21, leaf_size=19, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=19 ....................................
[CV] ........... n_neighbors=21, leaf_size=19, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=19 ....................................
[CV] ........... n_neighbors=23, leaf_size=19, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=19 ....................................
[CV] ........... n_neighbors=23, leaf_size=19, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=19 ....................................
[CV] ........... n_neighbors=23, leaf_size=19, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=19 ....................................
[CV] ........... n_neighbors=25, leaf_size=19, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=19 ....................................
[CV] ........... n_neighbors=25, leaf_size=19, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=19 ....................................
[CV] ........... n_neighbors=25, leaf_size=19, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=19 ....................................
[CV] ........... n_neighbors=27, leaf_size=19, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=19 ....................................
[CV] ........... n_neighbors=27, leaf_size=19, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=19 ....................................
[CV] ........... n_neighbors=27, leaf_size=19, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=19 ....................................
[CV] ........... n_neighbors=29, leaf_size=19, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=19 ....................................
[CV] ........... n_neighbors=29, leaf_size=19, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=19 ....................................
[CV] ........... n_neighbors=29, leaf_size=19, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=19 ....................................
[CV] ........... n_neighbors=31, leaf_size=19, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=19 ....................................
[CV] ........... n_neighbors=31, leaf_size=19, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=19 ....................................
[CV] ........... n_neighbors=31, leaf_size=19, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=19 ....................................
[CV] ........... n_neighbors=33, leaf_size=19, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=19 ....................................
[CV] ........... n_neighbors=33, leaf_size=19, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=19 ....................................
[CV] ........... n_neighbors=33, leaf_size=19, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=19 ....................................
[CV] ........... n_neighbors=35, leaf_size=19, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=19 ....................................
[CV] ........... n_neighbors=35, leaf_size=19, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=19 ....................................
[CV] ........... n_neighbors=35, leaf_size=19, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=19 ....................................
[CV] ........... n_neighbors=37, leaf_size=19, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=19 ....................................
[CV] ........... n_neighbors=37, leaf_size=19, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=19 ....................................
[CV] ........... n_neighbors=37, leaf_size=19, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=19 ....................................
[CV] ........... n_neighbors=39, leaf_size=19, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=19 ....................................
[CV] ........... n_neighbors=39, leaf_size=19, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=19 ....................................
[CV] ........... n_neighbors=39, leaf_size=19, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=21 .....................................
[CV] ............ n_neighbors=1, leaf_size=21, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=21 .....................................
[CV] ............ n_neighbors=1, leaf_size=21, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=21 .....................................
[CV] ............ n_neighbors=1, leaf_size=21, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=21 .....................................
[CV] ............ n_neighbors=3, leaf_size=21, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=21 .....................................
[CV] ............ n_neighbors=3, leaf_size=21, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=21 .....................................
[CV] ............ n_neighbors=3, leaf_size=21, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=21 .....................................
[CV] ............ n_neighbors=5, leaf_size=21, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=21 .....................................
[CV] ............ n_neighbors=5, leaf_size=21, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=21 .....................................
[CV] ............ n_neighbors=5, leaf_size=21, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=21 .....................................
[CV] ............ n_neighbors=7, leaf_size=21, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=21 .....................................
[CV] ............ n_neighbors=7, leaf_size=21, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=21 .....................................
[CV] ............ n_neighbors=7, leaf_size=21, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=21 .....................................
[CV] ............ n_neighbors=9, leaf_size=21, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=21 .....................................
[CV] ............ n_neighbors=9, leaf_size=21, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=21 .....................................
[CV] ............ n_neighbors=9, leaf_size=21, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=21 ....................................
[CV] ........... n_neighbors=11, leaf_size=21, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=21 ....................................
[CV] ........... n_neighbors=11, leaf_size=21, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=21 ....................................
[CV] ........... n_neighbors=11, leaf_size=21, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=21 ....................................
[CV] ........... n_neighbors=13, leaf_size=21, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=21 ....................................
[CV] ........... n_neighbors=13, leaf_size=21, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=21 ....................................
[CV] ........... n_neighbors=13, leaf_size=21, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=21 ....................................
[CV] ........... n_neighbors=15, leaf_size=21, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=21 ....................................
[CV] ........... n_neighbors=15, leaf_size=21, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=21 ....................................
[CV] ........... n_neighbors=15, leaf_size=21, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=21 ....................................
[CV] ........... n_neighbors=17, leaf_size=21, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=21 ....................................
[CV] ........... n_neighbors=17, leaf_size=21, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=21 ....................................
[CV] ........... n_neighbors=17, leaf_size=21, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=21 ....................................
[CV] ........... n_neighbors=19, leaf_size=21, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=21 ....................................
[CV] ........... n_neighbors=19, leaf_size=21, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=21 ....................................
[CV] ........... n_neighbors=19, leaf_size=21, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=21 ....................................
[CV] ........... n_neighbors=21, leaf_size=21, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=21 ....................................
[CV] ........... n_neighbors=21, leaf_size=21, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=21 ....................................
[CV] ........... n_neighbors=21, leaf_size=21, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=21 ....................................
[CV] ........... n_neighbors=23, leaf_size=21, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=21 ....................................
[CV] ........... n_neighbors=23, leaf_size=21, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=21 ....................................
[CV] ........... n_neighbors=23, leaf_size=21, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=21 ....................................
[CV] ........... n_neighbors=25, leaf_size=21, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=21 ....................................
[CV] ........... n_neighbors=25, leaf_size=21, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=21 ....................................
[CV] ........... n_neighbors=25, leaf_size=21, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=21 ....................................
[CV] ........... n_neighbors=27, leaf_size=21, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=21 ....................................
[CV] ........... n_neighbors=27, leaf_size=21, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=21 ....................................
[CV] ........... n_neighbors=27, leaf_size=21, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=21 ....................................
[CV] ........... n_neighbors=29, leaf_size=21, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=21 ....................................
[CV] ........... n_neighbors=29, leaf_size=21, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=21 ....................................
[CV] ........... n_neighbors=29, leaf_size=21, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=21 ....................................
[CV] ........... n_neighbors=31, leaf_size=21, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=21 ....................................
[CV] ........... n_neighbors=31, leaf_size=21, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=21 ....................................
[CV] ........... n_neighbors=31, leaf_size=21, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=21 ....................................
[CV] ........... n_neighbors=33, leaf_size=21, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=21 ....................................
[CV] ........... n_neighbors=33, leaf_size=21, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=21 ....................................
[CV] ........... n_neighbors=33, leaf_size=21, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=21 ....................................
[CV] ........... n_neighbors=35, leaf_size=21, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=21 ....................................
[CV] ........... n_neighbors=35, leaf_size=21, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=21 ....................................
[CV] ........... n_neighbors=35, leaf_size=21, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=21 ....................................
[CV] ........... n_neighbors=37, leaf_size=21, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=21 ....................................
[CV] ........... n_neighbors=37, leaf_size=21, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=21 ....................................
[CV] ........... n_neighbors=37, leaf_size=21, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=21 ....................................
[CV] ........... n_neighbors=39, leaf_size=21, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=21 ....................................
[CV] ........... n_neighbors=39, leaf_size=21, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=21 ....................................
[CV] ........... n_neighbors=39, leaf_size=21, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=23 .....................................
[CV] ............ n_neighbors=1, leaf_size=23, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=23 .....................................
[CV] ............ n_neighbors=1, leaf_size=23, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=23 .....................................
[CV] ............ n_neighbors=1, leaf_size=23, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=23 .....................................
[CV] ............ n_neighbors=3, leaf_size=23, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=23 .....................................
[CV] ............ n_neighbors=3, leaf_size=23, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=23 .....................................
[CV] ............ n_neighbors=3, leaf_size=23, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=23 .....................................
[CV] ............ n_neighbors=5, leaf_size=23, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=23 .....................................
[CV] ............ n_neighbors=5, leaf_size=23, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=23 .....................................
[CV] ............ n_neighbors=5, leaf_size=23, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=23 .....................................
[CV] ............ n_neighbors=7, leaf_size=23, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=23 .....................................
[CV] ............ n_neighbors=7, leaf_size=23, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=23 .....................................
[CV] ............ n_neighbors=7, leaf_size=23, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=23 .....................................
[CV] ............ n_neighbors=9, leaf_size=23, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=23 .....................................
[CV] ............ n_neighbors=9, leaf_size=23, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=23 .....................................
[CV] ............ n_neighbors=9, leaf_size=23, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=23 ....................................
[CV] ........... n_neighbors=11, leaf_size=23, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=23 ....................................
[CV] ........... n_neighbors=11, leaf_size=23, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=23 ....................................
[CV] ........... n_neighbors=11, leaf_size=23, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=23 ....................................
[CV] ........... n_neighbors=13, leaf_size=23, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=23 ....................................
[CV] ........... n_neighbors=13, leaf_size=23, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=23 ....................................
[CV] ........... n_neighbors=13, leaf_size=23, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=23 ....................................
[CV] ........... n_neighbors=15, leaf_size=23, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=23 ....................................
[CV] ........... n_neighbors=15, leaf_size=23, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=23 ....................................
[CV] ........... n_neighbors=15, leaf_size=23, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=23 ....................................
[CV] ........... n_neighbors=17, leaf_size=23, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=23 ....................................
[CV] ........... n_neighbors=17, leaf_size=23, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=23 ....................................
[CV] ........... n_neighbors=17, leaf_size=23, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=23 ....................................
[CV] ........... n_neighbors=19, leaf_size=23, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=23 ....................................
[CV] ........... n_neighbors=19, leaf_size=23, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=23 ....................................
[CV] ........... n_neighbors=19, leaf_size=23, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=23 ....................................
[CV] ........... n_neighbors=21, leaf_size=23, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=23 ....................................
[CV] ........... n_neighbors=21, leaf_size=23, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=23 ....................................
[CV] ........... n_neighbors=21, leaf_size=23, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=23 ....................................
[CV] ........... n_neighbors=23, leaf_size=23, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=23 ....................................
[CV] ........... n_neighbors=23, leaf_size=23, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=23 ....................................
[CV] ........... n_neighbors=23, leaf_size=23, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=23 ....................................
[CV] ........... n_neighbors=25, leaf_size=23, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=23 ....................................
[CV] ........... n_neighbors=25, leaf_size=23, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=23 ....................................
[CV] ........... n_neighbors=25, leaf_size=23, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=23 ....................................
[CV] ........... n_neighbors=27, leaf_size=23, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=23 ....................................
[CV] ........... n_neighbors=27, leaf_size=23, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=23 ....................................
[CV] ........... n_neighbors=27, leaf_size=23, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=23 ....................................
[CV] ........... n_neighbors=29, leaf_size=23, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=23 ....................................
[CV] ........... n_neighbors=29, leaf_size=23, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=23 ....................................
[CV] ........... n_neighbors=29, leaf_size=23, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=23 ....................................
[CV] ........... n_neighbors=31, leaf_size=23, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=23 ....................................
[CV] ........... n_neighbors=31, leaf_size=23, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=23 ....................................
[CV] ........... n_neighbors=31, leaf_size=23, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=23 ....................................
[CV] ........... n_neighbors=33, leaf_size=23, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=23 ....................................
[CV] ........... n_neighbors=33, leaf_size=23, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=23 ....................................
[CV] ........... n_neighbors=33, leaf_size=23, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=23 ....................................
[CV] ........... n_neighbors=35, leaf_size=23, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=23 ....................................
[CV] ........... n_neighbors=35, leaf_size=23, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=23 ....................................
[CV] ........... n_neighbors=35, leaf_size=23, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=23 ....................................
[CV] ........... n_neighbors=37, leaf_size=23, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=23 ....................................
[CV] ........... n_neighbors=37, leaf_size=23, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=23 ....................................
[CV] ........... n_neighbors=37, leaf_size=23, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=23 ....................................
[CV] ........... n_neighbors=39, leaf_size=23, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=23 ....................................
[CV] ........... n_neighbors=39, leaf_size=23, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=23 ....................................
[CV] ........... n_neighbors=39, leaf_size=23, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=25 .....................................
[CV] ............ n_neighbors=1, leaf_size=25, score=0.984547 - 0.1s
[CV] n_neighbors=1, leaf_size=25 .....................................
[CV] ............ n_neighbors=1, leaf_size=25, score=0.982183 - 0.1s
[CV] n_neighbors=1, leaf_size=25 .....................................
[CV] ............ n_neighbors=1, leaf_size=25, score=0.975281 - 0.1s
[CV] n_neighbors=3, leaf_size=25 .....................................
[CV] ............ n_neighbors=3, leaf_size=25, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=25 .....................................
[CV] ............ n_neighbors=3, leaf_size=25, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=25 .....................................
[CV] ............ n_neighbors=3, leaf_size=25, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=25 .....................................
[CV] ............ n_neighbors=5, leaf_size=25, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=25 .....................................
[CV] ............ n_neighbors=5, leaf_size=25, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=25 .....................................
[CV] ............ n_neighbors=5, leaf_size=25, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=25 .....................................
[CV] ............ n_neighbors=7, leaf_size=25, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=25 .....................................
[CV] ............ n_neighbors=7, leaf_size=25, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=25 .....................................
[CV] ............ n_neighbors=7, leaf_size=25, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=25 .....................................
[CV] ............ n_neighbors=9, leaf_size=25, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=25 .....................................
[CV] ............ n_neighbors=9, leaf_size=25, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=25 .....................................
[CV] ............ n_neighbors=9, leaf_size=25, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=25 ....................................
[CV] ........... n_neighbors=11, leaf_size=25, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=25 ....................................
[CV] ........... n_neighbors=11, leaf_size=25, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=25 ....................................
[CV] ........... n_neighbors=11, leaf_size=25, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=25 ....................................
[CV] ........... n_neighbors=13, leaf_size=25, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=25 ....................................
[CV] ........... n_neighbors=13, leaf_size=25, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=25 ....................................
[CV] ........... n_neighbors=13, leaf_size=25, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=25 ....................................
[CV] ........... n_neighbors=15, leaf_size=25, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=25 ....................................
[CV] ........... n_neighbors=15, leaf_size=25, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=25 ....................................
[CV] ........... n_neighbors=15, leaf_size=25, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=25 ....................................
[CV] ........... n_neighbors=17, leaf_size=25, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=25 ....................................
[CV] ........... n_neighbors=17, leaf_size=25, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=25 ....................................
[CV] ........... n_neighbors=17, leaf_size=25, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=25 ....................................
[CV] ........... n_neighbors=19, leaf_size=25, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=25 ....................................
[CV] ........... n_neighbors=19, leaf_size=25, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=25 ....................................
[CV] ........... n_neighbors=19, leaf_size=25, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=25 ....................................
[CV] ........... n_neighbors=21, leaf_size=25, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=25 ....................................
[CV] ........... n_neighbors=21, leaf_size=25, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=25 ....................................
[CV] ........... n_neighbors=21, leaf_size=25, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=25 ....................................
[CV] ........... n_neighbors=23, leaf_size=25, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=25 ....................................
[CV] ........... n_neighbors=23, leaf_size=25, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=25 ....................................
[CV] ........... n_neighbors=23, leaf_size=25, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=25 ....................................
[CV] ........... n_neighbors=25, leaf_size=25, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=25 ....................................
[CV] ........... n_neighbors=25, leaf_size=25, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=25 ....................................
[CV] ........... n_neighbors=25, leaf_size=25, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=25 ....................................
[CV] ........... n_neighbors=27, leaf_size=25, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=25 ....................................
[CV] ........... n_neighbors=27, leaf_size=25, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=25 ....................................
[CV] ........... n_neighbors=27, leaf_size=25, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=25 ....................................
[CV] ........... n_neighbors=29, leaf_size=25, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=25 ....................................
[CV] ........... n_neighbors=29, leaf_size=25, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=25 ....................................
[CV] ........... n_neighbors=29, leaf_size=25, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=25 ....................................
[CV] ........... n_neighbors=31, leaf_size=25, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=25 ....................................
[CV] ........... n_neighbors=31, leaf_size=25, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=25 ....................................
[CV] ........... n_neighbors=31, leaf_size=25, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=25 ....................................
[CV] ........... n_neighbors=33, leaf_size=25, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=25 ....................................
[CV] ........... n_neighbors=33, leaf_size=25, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=25 ....................................
[CV] ........... n_neighbors=33, leaf_size=25, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=25 ....................................
[CV] ........... n_neighbors=35, leaf_size=25, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=25 ....................................
[CV] ........... n_neighbors=35, leaf_size=25, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=25 ....................................
[CV] ........... n_neighbors=35, leaf_size=25, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=25 ....................................
[CV] ........... n_neighbors=37, leaf_size=25, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=25 ....................................
[CV] ........... n_neighbors=37, leaf_size=25, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=25 ....................................
[CV] ........... n_neighbors=37, leaf_size=25, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=25 ....................................
[CV] ........... n_neighbors=39, leaf_size=25, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=25 ....................................
[CV] ........... n_neighbors=39, leaf_size=25, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=25 ....................................
[CV] ........... n_neighbors=39, leaf_size=25, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=27 .....................................
[CV] ............ n_neighbors=1, leaf_size=27, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=27 .....................................
[CV] ............ n_neighbors=1, leaf_size=27, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=27 .....................................
[CV] ............ n_neighbors=1, leaf_size=27, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=27 .....................................
[CV] ............ n_neighbors=3, leaf_size=27, score=0.986755 - 0.1s
[CV] n_neighbors=3, leaf_size=27 .....................................
[CV] ............ n_neighbors=3, leaf_size=27, score=0.979955 - 0.1s
[CV] n_neighbors=3, leaf_size=27 .....................................
[CV] ............ n_neighbors=3, leaf_size=27, score=0.975281 - 0.1s
[CV] n_neighbors=5, leaf_size=27 .....................................
[CV] ............ n_neighbors=5, leaf_size=27, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=27 .....................................
[CV] ............ n_neighbors=5, leaf_size=27, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=27 .....................................
[CV] ............ n_neighbors=5, leaf_size=27, score=0.970787 - 0.1s
[CV] n_neighbors=7, leaf_size=27 .....................................
[CV] ............ n_neighbors=7, leaf_size=27, score=0.982340 - 0.1s
[CV] n_neighbors=7, leaf_size=27 .....................................
[CV] ............ n_neighbors=7, leaf_size=27, score=0.973274 - 0.1s
[CV] n_neighbors=7, leaf_size=27 .....................................
[CV] ............ n_neighbors=7, leaf_size=27, score=0.968539 - 0.1s
[CV] n_neighbors=9, leaf_size=27 .....................................
[CV] ............ n_neighbors=9, leaf_size=27, score=0.986755 - 0.1s
[CV] n_neighbors=9, leaf_size=27 .....................................
[CV] ............ n_neighbors=9, leaf_size=27, score=0.968820 - 0.1s
[CV] n_neighbors=9, leaf_size=27 .....................................
[CV] ............ n_neighbors=9, leaf_size=27, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=27 ....................................
[CV] ........... n_neighbors=11, leaf_size=27, score=0.984547 - 0.1s
[CV] n_neighbors=11, leaf_size=27 ....................................
[CV] ........... n_neighbors=11, leaf_size=27, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=27 ....................................
[CV] ........... n_neighbors=11, leaf_size=27, score=0.964045 - 0.1s
[CV] n_neighbors=13, leaf_size=27 ....................................
[CV] ........... n_neighbors=13, leaf_size=27, score=0.982340 - 0.1s
[CV] n_neighbors=13, leaf_size=27 ....................................
[CV] ........... n_neighbors=13, leaf_size=27, score=0.962138 - 0.1s
[Parallel(n_jobs=1)]: Done 512 jobs | elapsed: 1.1min
[Parallel(n_jobs=1)]: Done 800 jobs | elapsed: 1.4min
[CV] n_neighbors=13, leaf_size=27 ....................................
[CV] ........... n_neighbors=13, leaf_size=27, score=0.959551 - 0.1s
[CV] n_neighbors=15, leaf_size=27 ....................................
[CV] ........... n_neighbors=15, leaf_size=27, score=0.984547 - 0.1s
[CV] n_neighbors=15, leaf_size=27 ....................................
[CV] ........... n_neighbors=15, leaf_size=27, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=27 ....................................
[CV] ........... n_neighbors=15, leaf_size=27, score=0.961798 - 0.1s
[CV] n_neighbors=17, leaf_size=27 ....................................
[CV] ........... n_neighbors=17, leaf_size=27, score=0.975717 - 0.1s
[CV] n_neighbors=17, leaf_size=27 ....................................
[CV] ........... n_neighbors=17, leaf_size=27, score=0.962138 - 0.1s
[CV] n_neighbors=17, leaf_size=27 ....................................
[CV] ........... n_neighbors=17, leaf_size=27, score=0.959551 - 0.1s
[CV] n_neighbors=19, leaf_size=27 ....................................
[CV] ........... n_neighbors=19, leaf_size=27, score=0.973510 - 0.1s
[CV] n_neighbors=19, leaf_size=27 ....................................
[CV] ........... n_neighbors=19, leaf_size=27, score=0.959911 - 0.1s
[CV] n_neighbors=19, leaf_size=27 ....................................
[CV] ........... n_neighbors=19, leaf_size=27, score=0.959551 - 0.1s
[CV] n_neighbors=21, leaf_size=27 ....................................
[CV] ........... n_neighbors=21, leaf_size=27, score=0.973510 - 0.1s
[CV] n_neighbors=21, leaf_size=27 ....................................
[CV] ........... n_neighbors=21, leaf_size=27, score=0.957684 - 0.1s
[CV] n_neighbors=21, leaf_size=27 ....................................
[CV] ........... n_neighbors=21, leaf_size=27, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=27 ....................................
[CV] ........... n_neighbors=23, leaf_size=27, score=0.964680 - 0.1s
[CV] n_neighbors=23, leaf_size=27 ....................................
[CV] ........... n_neighbors=23, leaf_size=27, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=27 ....................................
[CV] ........... n_neighbors=23, leaf_size=27, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=27 ....................................
[CV] ........... n_neighbors=25, leaf_size=27, score=0.966887 - 0.1s
[CV] n_neighbors=25, leaf_size=27 ....................................
[CV] ........... n_neighbors=25, leaf_size=27, score=0.953229 - 0.1s
[CV] n_neighbors=25, leaf_size=27 ....................................
[CV] ........... n_neighbors=25, leaf_size=27, score=0.948315 - 0.1s
[CV] n_neighbors=27, leaf_size=27 ....................................
[CV] ........... n_neighbors=27, leaf_size=27, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=27 ....................................
[CV] ........... n_neighbors=27, leaf_size=27, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=27 ....................................
[CV] ........... n_neighbors=27, leaf_size=27, score=0.946067 - 0.1s
[CV] n_neighbors=29, leaf_size=27 ....................................
[CV] ........... n_neighbors=29, leaf_size=27, score=0.960265 - 0.1s
[CV] n_neighbors=29, leaf_size=27 ....................................
[CV] ........... n_neighbors=29, leaf_size=27, score=0.948775 - 0.1s
[CV] n_neighbors=29, leaf_size=27 ....................................
[CV] ........... n_neighbors=29, leaf_size=27, score=0.948315 - 0.1s
[CV] n_neighbors=31, leaf_size=27 ....................................
[CV] ........... n_neighbors=31, leaf_size=27, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=27 ....................................
[CV] ........... n_neighbors=31, leaf_size=27, score=0.939866 - 0.1s
[CV] n_neighbors=31, leaf_size=27 ....................................
[CV] ........... n_neighbors=31, leaf_size=27, score=0.943820 - 0.1s
[CV] n_neighbors=33, leaf_size=27 ....................................
[CV] ........... n_neighbors=33, leaf_size=27, score=0.955850 - 0.1s
[CV] n_neighbors=33, leaf_size=27 ....................................
[CV] ........... n_neighbors=33, leaf_size=27, score=0.939866 - 0.1s
[CV] n_neighbors=33, leaf_size=27 ....................................
[CV] ........... n_neighbors=33, leaf_size=27, score=0.939326 - 0.1s
[CV] n_neighbors=35, leaf_size=27 ....................................
[CV] ........... n_neighbors=35, leaf_size=27, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=27 ....................................
[CV] ........... n_neighbors=35, leaf_size=27, score=0.935412 - 0.1s
[CV] n_neighbors=35, leaf_size=27 ....................................
[CV] ........... n_neighbors=35, leaf_size=27, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=27 ....................................
[CV] ........... n_neighbors=37, leaf_size=27, score=0.955850 - 0.1s
[CV] n_neighbors=37, leaf_size=27 ....................................
[CV] ........... n_neighbors=37, leaf_size=27, score=0.933185 - 0.1s
[CV] n_neighbors=37, leaf_size=27 ....................................
[CV] ........... n_neighbors=37, leaf_size=27, score=0.930337 - 0.1s
[CV] n_neighbors=39, leaf_size=27 ....................................
[CV] ........... n_neighbors=39, leaf_size=27, score=0.955850 - 0.1s
[CV] n_neighbors=39, leaf_size=27 ....................................
[CV] ........... n_neighbors=39, leaf_size=27, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=27 ....................................
[CV] ........... n_neighbors=39, leaf_size=27, score=0.930337 - 0.1s
[CV] n_neighbors=1, leaf_size=29 .....................................
[CV] ............ n_neighbors=1, leaf_size=29, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=29 .....................................
[CV] ............ n_neighbors=1, leaf_size=29, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=29 .....................................
[CV] ............ n_neighbors=1, leaf_size=29, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=29 .....................................
[CV] ............ n_neighbors=3, leaf_size=29, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=29 .....................................
[CV] ............ n_neighbors=3, leaf_size=29, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=29 .....................................
[CV] ............ n_neighbors=3, leaf_size=29, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=29 .....................................
[CV] ............ n_neighbors=5, leaf_size=29, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=29 .....................................
[CV] ............ n_neighbors=5, leaf_size=29, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=29 .....................................
[CV] ............ n_neighbors=5, leaf_size=29, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=29 .....................................
[CV] ............ n_neighbors=7, leaf_size=29, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=29 .....................................
[CV] ............ n_neighbors=7, leaf_size=29, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=29 .....................................
[CV] ............ n_neighbors=7, leaf_size=29, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=29 .....................................
[CV] ............ n_neighbors=9, leaf_size=29, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=29 .....................................
[CV] ............ n_neighbors=9, leaf_size=29, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=29 .....................................
[CV] ............ n_neighbors=9, leaf_size=29, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=29 ....................................
[CV] ........... n_neighbors=11, leaf_size=29, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=29 ....................................
[CV] ........... n_neighbors=11, leaf_size=29, score=0.971047 - 0.0s
[CV] n_neighbors=11, leaf_size=29 ....................................
[CV] ........... n_neighbors=11, leaf_size=29, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=29 ....................................
[CV] ........... n_neighbors=13, leaf_size=29, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=29 ....................................
[CV] ........... n_neighbors=13, leaf_size=29, score=0.962138 - 0.0s
[CV] n_neighbors=13, leaf_size=29 ....................................
[CV] ........... n_neighbors=13, leaf_size=29, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=29 ....................................
[CV] ........... n_neighbors=15, leaf_size=29, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=29 ....................................
[CV] ........... n_neighbors=15, leaf_size=29, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=29 ....................................
[CV] ........... n_neighbors=15, leaf_size=29, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=29 ....................................
[CV] ........... n_neighbors=17, leaf_size=29, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=29 ....................................
[CV] ........... n_neighbors=17, leaf_size=29, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=29 ....................................
[CV] ........... n_neighbors=17, leaf_size=29, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=29 ....................................
[CV] ........... n_neighbors=19, leaf_size=29, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=29 ....................................
[CV] ........... n_neighbors=19, leaf_size=29, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=29 ....................................
[CV] ........... n_neighbors=19, leaf_size=29, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=29 ....................................
[CV] ........... n_neighbors=21, leaf_size=29, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=29 ....................................
[CV] ........... n_neighbors=21, leaf_size=29, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=29 ....................................
[CV] ........... n_neighbors=21, leaf_size=29, score=0.957303 - 0.0s
[CV] n_neighbors=23, leaf_size=29 ....................................
[CV] ........... n_neighbors=23, leaf_size=29, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=29 ....................................
[CV] ........... n_neighbors=23, leaf_size=29, score=0.955457 - 0.1s
[CV] n_neighbors=23, leaf_size=29 ....................................
[CV] ........... n_neighbors=23, leaf_size=29, score=0.952809 - 0.0s
[CV] n_neighbors=25, leaf_size=29 ....................................
[CV] ........... n_neighbors=25, leaf_size=29, score=0.964680 - 0.0s
[CV] n_neighbors=25, leaf_size=29 ....................................
[CV] ........... n_neighbors=25, leaf_size=29, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=29 ....................................
[CV] ........... n_neighbors=25, leaf_size=29, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=29 ....................................
[CV] ........... n_neighbors=27, leaf_size=29, score=0.964680 - 0.0s
[CV] n_neighbors=27, leaf_size=29 ....................................
[CV] ........... n_neighbors=27, leaf_size=29, score=0.955457 - 0.0s
[CV] n_neighbors=27, leaf_size=29 ....................................
[CV] ........... n_neighbors=27, leaf_size=29, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=29 ....................................
[CV] ........... n_neighbors=29, leaf_size=29, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=29 ....................................
[CV] ........... n_neighbors=29, leaf_size=29, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=29 ....................................
[CV] ........... n_neighbors=29, leaf_size=29, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=29 ....................................
[CV] ........... n_neighbors=31, leaf_size=29, score=0.958057 - 0.0s
[CV] n_neighbors=31, leaf_size=29 ....................................
[CV] ........... n_neighbors=31, leaf_size=29, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=29 ....................................
[CV] ........... n_neighbors=31, leaf_size=29, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=29 ....................................
[CV] ........... n_neighbors=33, leaf_size=29, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=29 ....................................
[CV] ........... n_neighbors=33, leaf_size=29, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=29 ....................................
[CV] ........... n_neighbors=33, leaf_size=29, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=29 ....................................
[CV] ........... n_neighbors=35, leaf_size=29, score=0.955850 - 0.0s
[CV] n_neighbors=35, leaf_size=29 ....................................
[CV] ........... n_neighbors=35, leaf_size=29, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=29 ....................................
[CV] ........... n_neighbors=35, leaf_size=29, score=0.934831 - 0.1s
[CV] n_neighbors=37, leaf_size=29 ....................................
[CV] ........... n_neighbors=37, leaf_size=29, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=29 ....................................
[CV] ........... n_neighbors=37, leaf_size=29, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=29 ....................................
[CV] ........... n_neighbors=37, leaf_size=29, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=29 ....................................
[CV] ........... n_neighbors=39, leaf_size=29, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=29 ....................................
[CV] ........... n_neighbors=39, leaf_size=29, score=0.933185 - 0.0s
[CV] n_neighbors=39, leaf_size=29 ....................................
[CV] ........... n_neighbors=39, leaf_size=29, score=0.930337 - 0.0s
[CV] n_neighbors=1, leaf_size=31 .....................................
[CV] ............ n_neighbors=1, leaf_size=31, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=31 .....................................
[CV] ............ n_neighbors=1, leaf_size=31, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=31 .....................................
[CV] ............ n_neighbors=1, leaf_size=31, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=31 .....................................
[CV] ............ n_neighbors=3, leaf_size=31, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=31 .....................................
[CV] ............ n_neighbors=3, leaf_size=31, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=31 .....................................
[CV] ............ n_neighbors=3, leaf_size=31, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=31 .....................................
[CV] ............ n_neighbors=5, leaf_size=31, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=31 .....................................
[CV] ............ n_neighbors=5, leaf_size=31, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=31 .....................................
[CV] ............ n_neighbors=5, leaf_size=31, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=31 .....................................
[CV] ............ n_neighbors=7, leaf_size=31, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=31 .....................................
[CV] ............ n_neighbors=7, leaf_size=31, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=31 .....................................
[CV] ............ n_neighbors=7, leaf_size=31, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=31 .....................................
[CV] ............ n_neighbors=9, leaf_size=31, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=31 .....................................
[CV] ............ n_neighbors=9, leaf_size=31, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=31 .....................................
[CV] ............ n_neighbors=9, leaf_size=31, score=0.959551 - 0.1s
[CV] n_neighbors=11, leaf_size=31 ....................................
[CV] ........... n_neighbors=11, leaf_size=31, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=31 ....................................
[CV] ........... n_neighbors=11, leaf_size=31, score=0.971047 - 0.0s
[CV] n_neighbors=11, leaf_size=31 ....................................
[CV] ........... n_neighbors=11, leaf_size=31, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=31 ....................................
[CV] ........... n_neighbors=13, leaf_size=31, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=31 ....................................
[CV] ........... n_neighbors=13, leaf_size=31, score=0.962138 - 0.0s
[CV] n_neighbors=13, leaf_size=31 ....................................
[CV] ........... n_neighbors=13, leaf_size=31, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=31 ....................................
[CV] ........... n_neighbors=15, leaf_size=31, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=31 ....................................
[CV] ........... n_neighbors=15, leaf_size=31, score=0.964365 - 0.1s
[CV] n_neighbors=15, leaf_size=31 ....................................
[CV] ........... n_neighbors=15, leaf_size=31, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=31 ....................................
[CV] ........... n_neighbors=17, leaf_size=31, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=31 ....................................
[CV] ........... n_neighbors=17, leaf_size=31, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=31 ....................................
[CV] ........... n_neighbors=17, leaf_size=31, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=31 ....................................
[CV] ........... n_neighbors=19, leaf_size=31, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=31 ....................................
[CV] ........... n_neighbors=19, leaf_size=31, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=31 ....................................
[CV] ........... n_neighbors=19, leaf_size=31, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=31 ....................................
[CV] ........... n_neighbors=21, leaf_size=31, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=31 ....................................
[CV] ........... n_neighbors=21, leaf_size=31, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=31 ....................................
[CV] ........... n_neighbors=21, leaf_size=31, score=0.957303 - 0.0s
[CV] n_neighbors=23, leaf_size=31 ....................................
[CV] ........... n_neighbors=23, leaf_size=31, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=31 ....................................
[CV] ........... n_neighbors=23, leaf_size=31, score=0.955457 - 0.0s
[CV] n_neighbors=23, leaf_size=31 ....................................
[CV] ........... n_neighbors=23, leaf_size=31, score=0.952809 - 0.0s
[CV] n_neighbors=25, leaf_size=31 ....................................
[CV] ........... n_neighbors=25, leaf_size=31, score=0.964680 - 0.0s
[CV] n_neighbors=25, leaf_size=31 ....................................
[CV] ........... n_neighbors=25, leaf_size=31, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=31 ....................................
[CV] ........... n_neighbors=25, leaf_size=31, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=31 ....................................
[CV] ........... n_neighbors=27, leaf_size=31, score=0.964680 - 0.0s
[CV] n_neighbors=27, leaf_size=31 ....................................
[CV] ........... n_neighbors=27, leaf_size=31, score=0.955457 - 0.0s
[CV] n_neighbors=27, leaf_size=31 ....................................
[CV] ........... n_neighbors=27, leaf_size=31, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=31 ....................................
[CV] ........... n_neighbors=29, leaf_size=31, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=31 ....................................
[CV] ........... n_neighbors=29, leaf_size=31, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=31 ....................................
[CV] ........... n_neighbors=29, leaf_size=31, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=31 ....................................
[CV] ........... n_neighbors=31, leaf_size=31, score=0.958057 - 0.0s
[CV] n_neighbors=31, leaf_size=31 ....................................
[CV] ........... n_neighbors=31, leaf_size=31, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=31 ....................................
[CV] ........... n_neighbors=31, leaf_size=31, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=31 ....................................
[CV] ........... n_neighbors=33, leaf_size=31, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=31 ....................................
[CV] ........... n_neighbors=33, leaf_size=31, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=31 ....................................
[CV] ........... n_neighbors=33, leaf_size=31, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=31 ....................................
[CV] ........... n_neighbors=35, leaf_size=31, score=0.955850 - 0.0s
[CV] n_neighbors=35, leaf_size=31 ....................................
[CV] ........... n_neighbors=35, leaf_size=31, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=31 ....................................
[CV] ........... n_neighbors=35, leaf_size=31, score=0.934831 - 0.0s
[CV] n_neighbors=37, leaf_size=31 ....................................
[CV] ........... n_neighbors=37, leaf_size=31, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=31 ....................................
[CV] ........... n_neighbors=37, leaf_size=31, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=31 ....................................
[CV] ........... n_neighbors=37, leaf_size=31, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=31 ....................................
[CV] ........... n_neighbors=39, leaf_size=31, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=31 ....................................
[CV] ........... n_neighbors=39, leaf_size=31, score=0.933185 - 0.0s
[CV] n_neighbors=39, leaf_size=31 ....................................
[CV] ........... n_neighbors=39, leaf_size=31, score=0.930337 - 0.0s
[CV] n_neighbors=1, leaf_size=33 .....................................
[CV] ............ n_neighbors=1, leaf_size=33, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=33 .....................................
[CV] ............ n_neighbors=1, leaf_size=33, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=33 .....................................
[CV] ............ n_neighbors=1, leaf_size=33, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=33 .....................................
[CV] ............ n_neighbors=3, leaf_size=33, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=33 .....................................
[CV] ............ n_neighbors=3, leaf_size=33, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=33 .....................................
[CV] ............ n_neighbors=3, leaf_size=33, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=33 .....................................
[CV] ............ n_neighbors=5, leaf_size=33, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=33 .....................................
[CV] ............ n_neighbors=5, leaf_size=33, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=33 .....................................
[CV] ............ n_neighbors=5, leaf_size=33, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=33 .....................................
[CV] ............ n_neighbors=7, leaf_size=33, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=33 .....................................
[CV] ............ n_neighbors=7, leaf_size=33, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=33 .....................................
[CV] ............ n_neighbors=7, leaf_size=33, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=33 .....................................
[CV] ............ n_neighbors=9, leaf_size=33, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=33 .....................................
[CV] ............ n_neighbors=9, leaf_size=33, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=33 .....................................
[CV] ............ n_neighbors=9, leaf_size=33, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=33 ....................................
[CV] ........... n_neighbors=11, leaf_size=33, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=33 ....................................
[CV] ........... n_neighbors=11, leaf_size=33, score=0.971047 - 0.0s
[CV] n_neighbors=11, leaf_size=33 ....................................
[CV] ........... n_neighbors=11, leaf_size=33, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=33 ....................................
[CV] ........... n_neighbors=13, leaf_size=33, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=33 ....................................
[CV] ........... n_neighbors=13, leaf_size=33, score=0.962138 - 0.0s
[CV] n_neighbors=13, leaf_size=33 ....................................
[CV] ........... n_neighbors=13, leaf_size=33, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=33 ....................................
[CV] ........... n_neighbors=15, leaf_size=33, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=33 ....................................
[CV] ........... n_neighbors=15, leaf_size=33, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=33 ....................................
[CV] ........... n_neighbors=15, leaf_size=33, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=33 ....................................
[CV] ........... n_neighbors=17, leaf_size=33, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=33 ....................................
[CV] ........... n_neighbors=17, leaf_size=33, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=33 ....................................
[CV] ........... n_neighbors=17, leaf_size=33, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=33 ....................................
[CV] ........... n_neighbors=19, leaf_size=33, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=33 ....................................
[CV] ........... n_neighbors=19, leaf_size=33, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=33 ....................................
[CV] ........... n_neighbors=19, leaf_size=33, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=33 ....................................
[CV] ........... n_neighbors=21, leaf_size=33, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=33 ....................................
[CV] ........... n_neighbors=21, leaf_size=33, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=33 ....................................
[CV] ........... n_neighbors=21, leaf_size=33, score=0.957303 - 0.0s
[CV] n_neighbors=23, leaf_size=33 ....................................
[CV] ........... n_neighbors=23, leaf_size=33, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=33 ....................................
[CV] ........... n_neighbors=23, leaf_size=33, score=0.955457 - 0.0s
[CV] n_neighbors=23, leaf_size=33 ....................................
[CV] ........... n_neighbors=23, leaf_size=33, score=0.952809 - 0.0s
[CV] n_neighbors=25, leaf_size=33 ....................................
[CV] ........... n_neighbors=25, leaf_size=33, score=0.964680 - 0.0s
[CV] n_neighbors=25, leaf_size=33 ....................................
[CV] ........... n_neighbors=25, leaf_size=33, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=33 ....................................
[CV] ........... n_neighbors=25, leaf_size=33, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=33 ....................................
[CV] ........... n_neighbors=27, leaf_size=33, score=0.964680 - 0.0s
[CV] n_neighbors=27, leaf_size=33 ....................................
[CV] ........... n_neighbors=27, leaf_size=33, score=0.955457 - 0.0s
[CV] n_neighbors=27, leaf_size=33 ....................................
[CV] ........... n_neighbors=27, leaf_size=33, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=33 ....................................
[CV] ........... n_neighbors=29, leaf_size=33, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=33 ....................................
[CV] ........... n_neighbors=29, leaf_size=33, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=33 ....................................
[CV] ........... n_neighbors=29, leaf_size=33, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=33 ....................................
[CV] ........... n_neighbors=31, leaf_size=33, score=0.958057 - 0.0s
[CV] n_neighbors=31, leaf_size=33 ....................................
[CV] ........... n_neighbors=31, leaf_size=33, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=33 ....................................
[CV] ........... n_neighbors=31, leaf_size=33, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=33 ....................................
[CV] ........... n_neighbors=33, leaf_size=33, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=33 ....................................
[CV] ........... n_neighbors=33, leaf_size=33, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=33 ....................................
[CV] ........... n_neighbors=33, leaf_size=33, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=33 ....................................
[CV] ........... n_neighbors=35, leaf_size=33, score=0.955850 - 0.0s
[CV] n_neighbors=35, leaf_size=33 ....................................
[CV] ........... n_neighbors=35, leaf_size=33, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=33 ....................................
[CV] ........... n_neighbors=35, leaf_size=33, score=0.934831 - 0.0s
[CV] n_neighbors=37, leaf_size=33 ....................................
[CV] ........... n_neighbors=37, leaf_size=33, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=33 ....................................
[CV] ........... n_neighbors=37, leaf_size=33, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=33 ....................................
[CV] ........... n_neighbors=37, leaf_size=33, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=33 ....................................
[CV] ........... n_neighbors=39, leaf_size=33, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=33 ....................................
[CV] ........... n_neighbors=39, leaf_size=33, score=0.933185 - 0.0s
[CV] n_neighbors=39, leaf_size=33 ....................................
[CV] ........... n_neighbors=39, leaf_size=33, score=0.930337 - 0.0s
[CV] n_neighbors=1, leaf_size=35 .....................................
[CV] ............ n_neighbors=1, leaf_size=35, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=35 .....................................
[CV] ............ n_neighbors=1, leaf_size=35, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=35 .....................................
[CV] ............ n_neighbors=1, leaf_size=35, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=35 .....................................
[CV] ............ n_neighbors=3, leaf_size=35, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=35 .....................................
[CV] ............ n_neighbors=3, leaf_size=35, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=35 .....................................
[CV] ............ n_neighbors=3, leaf_size=35, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=35 .....................................
[CV] ............ n_neighbors=5, leaf_size=35, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=35 .....................................
[CV] ............ n_neighbors=5, leaf_size=35, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=35 .....................................
[CV] ............ n_neighbors=5, leaf_size=35, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=35 .....................................
[CV] ............ n_neighbors=7, leaf_size=35, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=35 .....................................
[CV] ............ n_neighbors=7, leaf_size=35, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=35 .....................................
[CV] ............ n_neighbors=7, leaf_size=35, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=35 .....................................
[CV] ............ n_neighbors=9, leaf_size=35, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=35 .....................................
[CV] ............ n_neighbors=9, leaf_size=35, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=35 .....................................
[CV] ............ n_neighbors=9, leaf_size=35, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=35 ....................................
[CV] ........... n_neighbors=11, leaf_size=35, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=35 ....................................
[CV] ........... n_neighbors=11, leaf_size=35, score=0.971047 - 0.0s
[CV] n_neighbors=11, leaf_size=35 ....................................
[CV] ........... n_neighbors=11, leaf_size=35, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=35 ....................................
[CV] ........... n_neighbors=13, leaf_size=35, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=35 ....................................
[CV] ........... n_neighbors=13, leaf_size=35, score=0.962138 - 0.0s
[CV] n_neighbors=13, leaf_size=35 ....................................
[CV] ........... n_neighbors=13, leaf_size=35, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=35 ....................................
[CV] ........... n_neighbors=15, leaf_size=35, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=35 ....................................
[CV] ........... n_neighbors=15, leaf_size=35, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=35 ....................................
[CV] ........... n_neighbors=15, leaf_size=35, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=35 ....................................
[CV] ........... n_neighbors=17, leaf_size=35, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=35 ....................................
[CV] ........... n_neighbors=17, leaf_size=35, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=35 ....................................
[CV] ........... n_neighbors=17, leaf_size=35, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=35 ....................................
[CV] ........... n_neighbors=19, leaf_size=35, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=35 ....................................
[CV] ........... n_neighbors=19, leaf_size=35, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=35 ....................................
[CV] ........... n_neighbors=19, leaf_size=35, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=35 ....................................
[CV] ........... n_neighbors=21, leaf_size=35, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=35 ....................................
[CV] ........... n_neighbors=21, leaf_size=35, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=35 ....................................
[CV] ........... n_neighbors=21, leaf_size=35, score=0.957303 - 0.0s
[CV] n_neighbors=23, leaf_size=35 ....................................
[CV] ........... n_neighbors=23, leaf_size=35, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=35 ....................................
[CV] ........... n_neighbors=23, leaf_size=35, score=0.955457 - 0.0s
[CV] n_neighbors=23, leaf_size=35 ....................................
[CV] ........... n_neighbors=23, leaf_size=35, score=0.952809 - 0.0s
[CV] n_neighbors=25, leaf_size=35 ....................................
[CV] ........... n_neighbors=25, leaf_size=35, score=0.964680 - 0.0s
[CV] n_neighbors=25, leaf_size=35 ....................................
[CV] ........... n_neighbors=25, leaf_size=35, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=35 ....................................
[CV] ........... n_neighbors=25, leaf_size=35, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=35 ....................................
[CV] ........... n_neighbors=27, leaf_size=35, score=0.964680 - 0.0s
[CV] n_neighbors=27, leaf_size=35 ....................................
[CV] ........... n_neighbors=27, leaf_size=35, score=0.955457 - 0.0s
[CV] n_neighbors=27, leaf_size=35 ....................................
[CV] ........... n_neighbors=27, leaf_size=35, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=35 ....................................
[CV] ........... n_neighbors=29, leaf_size=35, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=35 ....................................
[CV] ........... n_neighbors=29, leaf_size=35, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=35 ....................................
[CV] ........... n_neighbors=29, leaf_size=35, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=35 ....................................
[CV] ........... n_neighbors=31, leaf_size=35, score=0.958057 - 0.0s
[CV] n_neighbors=31, leaf_size=35 ....................................
[CV] ........... n_neighbors=31, leaf_size=35, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=35 ....................................
[CV] ........... n_neighbors=31, leaf_size=35, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=35 ....................................
[CV] ........... n_neighbors=33, leaf_size=35, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=35 ....................................
[CV] ........... n_neighbors=33, leaf_size=35, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=35 ....................................
[CV] ........... n_neighbors=33, leaf_size=35, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=35 ....................................
[CV] ........... n_neighbors=35, leaf_size=35, score=0.955850 - 0.0s
[CV] n_neighbors=35, leaf_size=35 ....................................
[CV] ........... n_neighbors=35, leaf_size=35, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=35 ....................................
[CV] ........... n_neighbors=35, leaf_size=35, score=0.934831 - 0.0s
[CV] n_neighbors=37, leaf_size=35 ....................................
[CV] ........... n_neighbors=37, leaf_size=35, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=35 ....................................
[CV] ........... n_neighbors=37, leaf_size=35, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=35 ....................................
[CV] ........... n_neighbors=37, leaf_size=35, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=35 ....................................
[CV] ........... n_neighbors=39, leaf_size=35, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=35 ....................................
[CV] ........... n_neighbors=39, leaf_size=35, score=0.933185 - 0.0s
[CV] n_neighbors=39, leaf_size=35 ....................................
[CV] ........... n_neighbors=39, leaf_size=35, score=0.930337 - 0.0s
[CV] n_neighbors=1, leaf_size=37 .....................................
[CV] ............ n_neighbors=1, leaf_size=37, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=37 .....................................
[CV] ............ n_neighbors=1, leaf_size=37, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=37 .....................................
[CV] ............ n_neighbors=1, leaf_size=37, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=37 .....................................
[CV] ............ n_neighbors=3, leaf_size=37, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=37 .....................................
[CV] ............ n_neighbors=3, leaf_size=37, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=37 .....................................
[CV] ............ n_neighbors=3, leaf_size=37, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=37 .....................................
[CV] ............ n_neighbors=5, leaf_size=37, score=0.988962 - 0.1s
[CV] n_neighbors=5, leaf_size=37 .....................................
[CV] ............ n_neighbors=5, leaf_size=37, score=0.984410 - 0.1s
[CV] n_neighbors=5, leaf_size=37 .....................................
[CV] ............ n_neighbors=5, leaf_size=37, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=37 .....................................
[CV] ............ n_neighbors=7, leaf_size=37, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=37 .....................................
[CV] ............ n_neighbors=7, leaf_size=37, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=37 .....................................
[CV] ............ n_neighbors=7, leaf_size=37, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=37 .....................................
[CV] ............ n_neighbors=9, leaf_size=37, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=37 .....................................
[CV] ............ n_neighbors=9, leaf_size=37, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=37 .....................................
[CV] ............ n_neighbors=9, leaf_size=37, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=37 ....................................
[CV] ........... n_neighbors=11, leaf_size=37, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=37 ....................................
[CV] ........... n_neighbors=11, leaf_size=37, score=0.971047 - 0.1s
[CV] n_neighbors=11, leaf_size=37 ....................................
[CV] ........... n_neighbors=11, leaf_size=37, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=37 ....................................
[CV] ........... n_neighbors=13, leaf_size=37, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=37 ....................................
[CV] ........... n_neighbors=13, leaf_size=37, score=0.962138 - 0.0s
[CV] n_neighbors=13, leaf_size=37 ....................................
[CV] ........... n_neighbors=13, leaf_size=37, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=37 ....................................
[CV] ........... n_neighbors=15, leaf_size=37, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=37 ....................................
[CV] ........... n_neighbors=15, leaf_size=37, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=37 ....................................
[CV] ........... n_neighbors=15, leaf_size=37, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=37 ....................................
[CV] ........... n_neighbors=17, leaf_size=37, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=37 ....................................
[CV] ........... n_neighbors=17, leaf_size=37, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=37 ....................................
[CV] ........... n_neighbors=17, leaf_size=37, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=37 ....................................
[CV] ........... n_neighbors=19, leaf_size=37, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=37 ....................................
[CV] ........... n_neighbors=19, leaf_size=37, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=37 ....................................
[CV] ........... n_neighbors=19, leaf_size=37, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=37 ....................................
[CV] ........... n_neighbors=21, leaf_size=37, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=37 ....................................
[CV] ........... n_neighbors=21, leaf_size=37, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=37 ....................................
[CV] ........... n_neighbors=21, leaf_size=37, score=0.957303 - 0.0s
[CV] n_neighbors=23, leaf_size=37 ....................................
[CV] ........... n_neighbors=23, leaf_size=37, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=37 ....................................
[CV] ........... n_neighbors=23, leaf_size=37, score=0.955457 - 0.0s
[CV] n_neighbors=23, leaf_size=37 ....................................
[CV] ........... n_neighbors=23, leaf_size=37, score=0.952809 - 0.0s
[CV] n_neighbors=25, leaf_size=37 ....................................
[CV] ........... n_neighbors=25, leaf_size=37, score=0.964680 - 0.0s
[CV] n_neighbors=25, leaf_size=37 ....................................
[CV] ........... n_neighbors=25, leaf_size=37, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=37 ....................................
[CV] ........... n_neighbors=25, leaf_size=37, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=37 ....................................
[CV] ........... n_neighbors=27, leaf_size=37, score=0.964680 - 0.1s
[CV] n_neighbors=27, leaf_size=37 ....................................
[CV] ........... n_neighbors=27, leaf_size=37, score=0.955457 - 0.1s
[CV] n_neighbors=27, leaf_size=37 ....................................
[CV] ........... n_neighbors=27, leaf_size=37, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=37 ....................................
[CV] ........... n_neighbors=29, leaf_size=37, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=37 ....................................
[CV] ........... n_neighbors=29, leaf_size=37, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=37 ....................................
[CV] ........... n_neighbors=29, leaf_size=37, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=37 ....................................
[CV] ........... n_neighbors=31, leaf_size=37, score=0.958057 - 0.1s
[CV] n_neighbors=31, leaf_size=37 ....................................
[CV] ........... n_neighbors=31, leaf_size=37, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=37 ....................................
[CV] ........... n_neighbors=31, leaf_size=37, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=37 ....................................
[CV] ........... n_neighbors=33, leaf_size=37, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=37 ....................................
[CV] ........... n_neighbors=33, leaf_size=37, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=37 ....................................
[CV] ........... n_neighbors=33, leaf_size=37, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=37 ....................................
[CV] ........... n_neighbors=35, leaf_size=37, score=0.955850 - 0.0s
[CV] n_neighbors=35, leaf_size=37 ....................................
[CV] ........... n_neighbors=35, leaf_size=37, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=37 ....................................
[CV] ........... n_neighbors=35, leaf_size=37, score=0.934831 - 0.0s
[CV] n_neighbors=37, leaf_size=37 ....................................
[CV] ........... n_neighbors=37, leaf_size=37, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=37 ....................................
[CV] ........... n_neighbors=37, leaf_size=37, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=37 ....................................
[CV] ........... n_neighbors=37, leaf_size=37, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=37 ....................................
[CV] ........... n_neighbors=39, leaf_size=37, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=37 ....................................
[CV] ........... n_neighbors=39, leaf_size=37, score=0.933185 - 0.1s
[CV] n_neighbors=39, leaf_size=37 ....................................
[CV] ........... n_neighbors=39, leaf_size=37, score=0.930337 - 0.0s
[CV] n_neighbors=1, leaf_size=39 .....................................
[CV] ............ n_neighbors=1, leaf_size=39, score=0.984547 - 0.0s
[CV] n_neighbors=1, leaf_size=39 .....................................
[CV] ............ n_neighbors=1, leaf_size=39, score=0.982183 - 0.0s
[CV] n_neighbors=1, leaf_size=39 .....................................
[CV] ............ n_neighbors=1, leaf_size=39, score=0.975281 - 0.0s
[CV] n_neighbors=3, leaf_size=39 .....................................
[CV] ............ n_neighbors=3, leaf_size=39, score=0.986755 - 0.0s
[CV] n_neighbors=3, leaf_size=39 .....................................
[CV] ............ n_neighbors=3, leaf_size=39, score=0.982183 - 0.0s
[CV] n_neighbors=3, leaf_size=39 .....................................
[CV] ............ n_neighbors=3, leaf_size=39, score=0.975281 - 0.0s
[CV] n_neighbors=5, leaf_size=39 .....................................
[CV] ............ n_neighbors=5, leaf_size=39, score=0.988962 - 0.0s
[CV] n_neighbors=5, leaf_size=39 .....................................
[CV] ............ n_neighbors=5, leaf_size=39, score=0.984410 - 0.0s
[CV] n_neighbors=5, leaf_size=39 .....................................
[CV] ............ n_neighbors=5, leaf_size=39, score=0.970787 - 0.0s
[CV] n_neighbors=7, leaf_size=39 .....................................
[CV] ............ n_neighbors=7, leaf_size=39, score=0.982340 - 0.0s
[CV] n_neighbors=7, leaf_size=39 .....................................
[CV] ............ n_neighbors=7, leaf_size=39, score=0.973274 - 0.0s
[CV] n_neighbors=7, leaf_size=39 .....................................
[CV] ............ n_neighbors=7, leaf_size=39, score=0.968539 - 0.0s
[CV] n_neighbors=9, leaf_size=39 .....................................
[CV] ............ n_neighbors=9, leaf_size=39, score=0.986755 - 0.0s
[CV] n_neighbors=9, leaf_size=39 .....................................
[CV] ............ n_neighbors=9, leaf_size=39, score=0.968820 - 0.0s
[CV] n_neighbors=9, leaf_size=39 .....................................
[CV] ............ n_neighbors=9, leaf_size=39, score=0.959551 - 0.0s
[CV] n_neighbors=11, leaf_size=39 ....................................
[CV] ........... n_neighbors=11, leaf_size=39, score=0.984547 - 0.0s
[CV] n_neighbors=11, leaf_size=39 ....................................
[CV] ........... n_neighbors=11, leaf_size=39, score=0.971047 - 0.0s
[CV] n_neighbors=11, leaf_size=39 ....................................
[CV] ........... n_neighbors=11, leaf_size=39, score=0.966292 - 0.0s
[CV] n_neighbors=13, leaf_size=39 ....................................
[CV] ........... n_neighbors=13, leaf_size=39, score=0.982340 - 0.0s
[CV] n_neighbors=13, leaf_size=39 ....................................
[CV] ........... n_neighbors=13, leaf_size=39, score=0.962138 - 0.1s
[CV] n_neighbors=13, leaf_size=39 ....................................
[CV] ........... n_neighbors=13, leaf_size=39, score=0.959551 - 0.0s
[CV] n_neighbors=15, leaf_size=39 ....................................
[CV] ........... n_neighbors=15, leaf_size=39, score=0.984547 - 0.0s
[CV] n_neighbors=15, leaf_size=39 ....................................
[CV] ........... n_neighbors=15, leaf_size=39, score=0.964365 - 0.0s
[CV] n_neighbors=15, leaf_size=39 ....................................
[CV] ........... n_neighbors=15, leaf_size=39, score=0.961798 - 0.0s
[CV] n_neighbors=17, leaf_size=39 ....................................
[CV] ........... n_neighbors=17, leaf_size=39, score=0.975717 - 0.0s
[CV] n_neighbors=17, leaf_size=39 ....................................
[CV] ........... n_neighbors=17, leaf_size=39, score=0.962138 - 0.0s
[CV] n_neighbors=17, leaf_size=39 ....................................
[CV] ........... n_neighbors=17, leaf_size=39, score=0.959551 - 0.0s
[CV] n_neighbors=19, leaf_size=39 ....................................
[CV] ........... n_neighbors=19, leaf_size=39, score=0.973510 - 0.0s
[CV] n_neighbors=19, leaf_size=39 ....................................
[CV] ........... n_neighbors=19, leaf_size=39, score=0.959911 - 0.0s
[CV] n_neighbors=19, leaf_size=39 ....................................
[CV] ........... n_neighbors=19, leaf_size=39, score=0.959551 - 0.0s
[CV] n_neighbors=21, leaf_size=39 ....................................
[CV] ........... n_neighbors=21, leaf_size=39, score=0.973510 - 0.0s
[CV] n_neighbors=21, leaf_size=39 ....................................
[CV] ........... n_neighbors=21, leaf_size=39, score=0.957684 - 0.0s
[CV] n_neighbors=21, leaf_size=39 ....................................
[CV] ........... n_neighbors=21, leaf_size=39, score=0.957303 - 0.1s
[CV] n_neighbors=23, leaf_size=39 ....................................
[CV] ........... n_neighbors=23, leaf_size=39, score=0.964680 - 0.0s
[CV] n_neighbors=23, leaf_size=39 ....................................
[CV] ........... n_neighbors=23, leaf_size=39, score=0.955457 - 0.0s
[CV] n_neighbors=23, leaf_size=39 ....................................
[CV] ........... n_neighbors=23, leaf_size=39, score=0.952809 - 0.1s
[CV] n_neighbors=25, leaf_size=39 ....................................
[CV] ........... n_neighbors=25, leaf_size=39, score=0.964680 - 0.1s
[CV] n_neighbors=25, leaf_size=39 ....................................
[CV] ........... n_neighbors=25, leaf_size=39, score=0.953229 - 0.0s
[CV] n_neighbors=25, leaf_size=39 ....................................
[CV] ........... n_neighbors=25, leaf_size=39, score=0.948315 - 0.0s
[CV] n_neighbors=27, leaf_size=39 ....................................
[CV] ........... n_neighbors=27, leaf_size=39, score=0.964680 - 0.0s
[CV] n_neighbors=27, leaf_size=39 ....................................
[CV] ........... n_neighbors=27, leaf_size=39, score=0.955457 - 0.0s
[CV] n_neighbors=27, leaf_size=39 ....................................
[CV] ........... n_neighbors=27, leaf_size=39, score=0.946067 - 0.0s
[CV] n_neighbors=29, leaf_size=39 ....................................
[CV] ........... n_neighbors=29, leaf_size=39, score=0.960265 - 0.0s
[CV] n_neighbors=29, leaf_size=39 ....................................
[CV] ........... n_neighbors=29, leaf_size=39, score=0.948775 - 0.0s
[CV] n_neighbors=29, leaf_size=39 ....................................
[CV] ........... n_neighbors=29, leaf_size=39, score=0.948315 - 0.0s
[CV] n_neighbors=31, leaf_size=39 ....................................
[CV] ........... n_neighbors=31, leaf_size=39, score=0.958057 - 0.0s
[CV] n_neighbors=31, leaf_size=39 ....................................
[CV] ........... n_neighbors=31, leaf_size=39, score=0.939866 - 0.0s
[CV] n_neighbors=31, leaf_size=39 ....................................
[CV] ........... n_neighbors=31, leaf_size=39, score=0.943820 - 0.0s
[CV] n_neighbors=33, leaf_size=39 ....................................
[CV] ........... n_neighbors=33, leaf_size=39, score=0.955850 - 0.0s
[CV] n_neighbors=33, leaf_size=39 ....................................
[CV] ........... n_neighbors=33, leaf_size=39, score=0.939866 - 0.0s
[CV] n_neighbors=33, leaf_size=39 ....................................
[CV] ........... n_neighbors=33, leaf_size=39, score=0.939326 - 0.0s
[CV] n_neighbors=35, leaf_size=39 ....................................
[CV] ........... n_neighbors=35, leaf_size=39, score=0.955850 - 0.1s
[CV] n_neighbors=35, leaf_size=39 ....................................
[CV] ........... n_neighbors=35, leaf_size=39, score=0.935412 - 0.0s
[CV] n_neighbors=35, leaf_size=39 ....................................
[CV] ........... n_neighbors=35, leaf_size=39, score=0.934831 - 0.0s
[CV] n_neighbors=37, leaf_size=39 ....................................
[CV] ........... n_neighbors=37, leaf_size=39, score=0.955850 - 0.0s
[CV] n_neighbors=37, leaf_size=39 ....................................
[CV] ........... n_neighbors=37, leaf_size=39, score=0.933185 - 0.0s
[CV] n_neighbors=37, leaf_size=39 ....................................
[CV] ........... n_neighbors=37, leaf_size=39, score=0.930337 - 0.0s
[CV] n_neighbors=39, leaf_size=39 ....................................
[CV] ........... n_neighbors=39, leaf_size=39, score=0.955850 - 0.0s
[CV] n_neighbors=39, leaf_size=39 ....................................
[CV] ........... n_neighbors=39, leaf_size=39, score=0.933185 - 0.0s
[CV] n_neighbors=39, leaf_size=39 ....................................
[CV] ........... n_neighbors=39, leaf_size=39, score=0.930337 - 0.0s
[Parallel(n_jobs=1)]: Done 1152 jobs | elapsed: 1.7min
[Parallel(n_jobs=1)]: Done 1200 out of 1200 | elapsed: 1.7min finished
Out[41]:
GridSearchCV(cv=None, error_score='raise',
estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_neighbors=5, p=2, weights='uniform'),
fit_params={}, iid=True, loss_func=None, n_jobs=1,
param_grid={'n_neighbors': [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39], 'leaf_size': [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39]},
pre_dispatch='2*n_jobs', refit=True, score_func=None, scoring=None,
verbose=3)
In [42]:
grid_search.predict(X_test)
Out[42]:
array([4, 6, 2, 2, 7, 0, 0, 2, 9, 4, 1, 3, 8, 4, 9, 5, 7, 7, 3, 5, 4, 3, 9,
6, 0, 5, 7, 9, 1, 7, 6, 4, 7, 0, 8, 4, 3, 0, 0, 4, 2, 2, 3, 0, 0, 8,
5, 2, 7, 0, 7, 7, 8, 3, 3, 6, 3, 6, 8, 1, 9, 5, 2, 2, 2, 6, 3, 2, 2,
6, 0, 6, 5, 8, 4, 9, 1, 6, 3, 0, 5, 9, 3, 1, 9, 1, 1, 9, 9, 9, 2, 2,
9, 2, 2, 0, 0, 8, 4, 2, 8, 0, 3, 1, 6, 8, 8, 5, 3, 7, 2, 1, 1, 7, 1,
2, 8, 1, 6, 3, 3, 4, 2, 1, 3, 9, 7, 3, 6, 6, 1, 1, 0, 2, 6, 0, 8, 6,
9, 8, 1, 5, 8, 8, 4, 4, 5, 3, 3, 0, 4, 9, 6, 0, 8, 6, 7, 0, 0, 5, 1,
9, 2, 7, 9, 9, 4, 8, 4, 8, 1, 0, 8, 8, 3, 6, 2, 5, 0, 3, 7, 9, 9, 0,
7, 7, 6, 1, 7, 3, 6, 6, 1, 5, 8, 4, 8, 9, 9, 6, 1, 8, 3, 5, 9, 8, 7,
7, 9, 3, 7, 9, 5, 0, 6, 3, 4, 4, 2, 1, 2, 1, 2, 7, 3, 3, 5, 7, 2, 4,
0, 3, 9, 7, 0, 5, 7, 0, 7, 4, 6, 6, 3, 9, 4, 7, 1, 5, 4, 5, 4, 4, 7,
3, 7, 7, 6, 9, 0, 3, 0, 1, 1, 3, 9, 3, 2, 6, 1, 3, 9, 1, 4, 0, 2, 5,
8, 1, 4, 0, 8, 9, 1, 1, 6, 5, 2, 7, 6, 6, 2, 8, 5, 5, 4, 7, 4, 2, 2,
1, 1, 6, 7, 3, 1, 0, 8, 1, 1, 2, 1, 0, 5, 9, 3, 6, 0, 1, 3, 4, 5, 7,
8, 3, 6, 8, 7, 3, 4, 6, 5, 9, 2, 3, 2, 7, 9, 4, 7, 9, 8, 3, 3, 5, 1,
0, 5, 0, 4, 8, 5, 2, 0, 1, 3, 2, 4, 3, 4, 7, 9, 7, 1, 8, 6, 5, 0, 7,
6, 4, 5, 4, 0, 4, 0, 4, 5, 1, 5, 4, 7, 7, 7, 8, 2, 6, 2, 2, 3, 6, 9,
9, 9, 1, 5, 2, 5, 6, 4, 1, 2, 6, 6, 4, 4, 3, 7, 4, 0, 6, 7, 5, 3, 0,
9, 3, 1, 4, 4, 6, 1, 7, 3, 9, 7, 9, 8, 6, 6, 1, 6, 8, 0, 4, 5, 9, 1,
4, 6, 8, 8, 5, 3, 6, 4, 9, 0, 2, 0, 2])
In [43]:
grid_search.score(X_test, y_test)
Out[43]:
0.98888888888888893
In [45]:
scores = [x.mean_validation_score for x in grid_search.grid_scores_]
scores = np.array(scores).reshape(len(KNC_grid['n_neighbors']), len(KNC_grid['leaf_size']))
plt.matshow(scores)
plt.xlabel('n_neighbors')
plt.ylabel('leaf_size')
plt.colorbar()
plt.xticks(range(len(KNC_grid['n_neighbors'])), KNC_grid['n_neighbors'])
plt.yticks(range(len(KNC_grid['leaf_size'])), KNC_grid['leaf_size']);
In [ ]:
Content source: eblur/AstroHackWeek2015
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