145677
5805
criterion
friedman_mse
5626
init
None
5626
learning_rate
0.1
5626
loss
deviance
5626
max_depth
32
5626
max_features
None
5626
max_leaf_nodes
None
5626
min_impurity_split
1e-07
5626
min_samples_leaf
1
5626
min_samples_split
2
5626
min_weight_fraction_leaf
0.0
5626
n_estimators
256
5626
presort
auto
5626
random_state
None
5626
subsample
1.0
5626
verbose
0
5626
warm_start
False
5626
base_estimator
GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.1, loss='deviance', max_depth=32,
max_features=None, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=256, presort='auto', random_state=None,
subsample=1.0, verbose=0, warm_start=False)
5805
bootstrap
True
5805
bootstrap_features
False
5805
max_features
1.0
5805
max_samples
1.0
5805
n_estimators
16
5805
n_jobs
-1
5805
oob_score
False
5805
random_state
None
5805
verbose
2
5805
warm_start
False
5805
Python_3.6.0.
Sklearn_0.18.1.
NumPy_1.11.3.
SciPy_0.18.1.
Thu_Mar_16_12.25.24_2017
run_task
sklearn.ensemble.bagging.BaggingClassifier