145677
5676
weights
[1]
5676
n_jobs
-1
5500
class_weight
None
5500
min_samples_leaf
1
5500
random_state
123
5500
max_features
0.1
5500
verbose
0
5500
min_weight_fraction_leaf
0.0
5500
oob_score
False
5500
bootstrap
True
5500
n_estimators
5
5500
criterion
entropy
5500
min_impurity_split
1e-07
5500
min_samples_split
2
5500
max_depth
None
5500
warm_start
False
5500
max_leaf_nodes
None
5500
voting
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, 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=5, n_jobs=-1, oob_score=False, random_state=123,
verbose=0, warm_start=False)
5676
estimators
[('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',
max_depth=None, max_features=0.1, 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=5, n_jobs=-1, oob_score=False, random_state=123,
verbose=0, warm_start=False))]
5676
n_jobs
-1
5676
Python_3.5.2.
Sklearn_0.18.1.
NumPy_1.12.0.
SciPy_0.18.1.
Thu_Mar__9_14.01.44_2017
run_task
sklearn.ensemble.voting_classifier.VotingClassifier