145677
5769
steps
[('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('votingclassifier', VotingClassifier(estimators=[('estimators', ExtraTreesClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
...gistic', reg_alpha=0, reg_lambda=1,
scale_pos_weight=1, seed=0, silent=True, subsample=0.8))],
n_jobs=-1, voting='soft', weights=None))]
5769
copy
True
5660
with_mean
True
5660
with_std
True
5660
bootstrap
True
5604
class_weight
None
5604
criterion
entropy
5604
max_depth
None
5604
max_features
sqrt
5604
max_leaf_nodes
None
5604
min_impurity_split
1e-07
5604
min_samples_leaf
2
5604
min_samples_split
2
5604
min_weight_fraction_leaf
0.0
5604
n_estimators
16
5604
n_jobs
1
5604
oob_score
False
5604
random_state
None
5604
verbose
0
5604
warm_start
False
5604
estimators
ExtraTreesClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=16, n_jobs=1, oob_score=False, random_state=None,
verbose=0, warm_start=False)
5768
base_score
0.5
5521
colsample_bylevel
1
5521
colsample_bytree
0.9
5521
gamma
0
5521
learning_rate
0.03
5521
max_delta_step
0
5521
max_depth
8
5521
min_child_weight
2
5521
missing
None
5521
n_estimators
16
5521
nthread
1
5521
objective
binary:logistic
5521
reg_alpha
0
5521
reg_lambda
1
5521
scale_pos_weight
1
5521
seed
0
5521
silent
True
5521
subsample
0.8
5521
n_jobs
XGBClassifier(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9,
gamma=0, learning_rate=0.03, max_delta_step=0, max_depth=8,
min_child_weight=2, missing=None, n_estimators=16, nthread=1,
objective='binary:logistic', reg_alpha=0, reg_lambda=1,
scale_pos_weight=1, seed=0, silent=True, subsample=0.8)
5768
voting
soft
5768
criterion
friedman_mse
5626
init
None
5626
learning_rate
0.03
5626
loss
deviance
5626
max_depth
8
5626
max_features
sqrt
5626
max_leaf_nodes
None
5626
min_impurity_split
1e-07
5626
min_samples_leaf
2
5626
min_samples_split
2
5626
min_weight_fraction_leaf
0.0
5626
n_estimators
16
5626
presort
auto
5626
random_state
None
5626
subsample
1.0
5626
verbose
0
5626
warm_start
False
5626
weights
GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.03, loss='deviance', max_depth=8,
max_features='sqrt', max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=2,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=16, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False)
5768
Python_3.6.0.
Sklearn_0.18.1.
NumPy_1.12.0.
SciPy_0.19.0.
Mon_Mar_13_14.21.27_2017
run_task
sklearn.pipeline.Pipeline