3658
4830
max_depth
None
max_leaf_nodes
None
max_features
auto
min_weight_fraction_leaf
0.0
random_state
None
min_samples_split
2
n_jobs
1
verbose
0
min_impurity_split
1e-07
oob_score
False
bootstrap
True
n_estimators
10
warm_start
False
class_weight
None
min_samples_leaf
1
criterion
gini
Python_3.5.2.
Sklearn_0.18.
NumPy_1.11.2.
SciPy_0.18.1.
Fri_Oct_28_14.03.15_2016
run_task
sklearn.ensemble.forest.RandomForestClassifier