145677
5500
min_samples_split
2
5500
max_leaf_nodes
None
5500
max_features
0.15
5500
random_state
None
5500
verbose
0
5500
n_jobs
-1
5500
warm_start
False
5500
n_estimators
9192
5500
min_weight_fraction_leaf
0.0
5500
max_depth
None
5500
criterion
gini
5500
min_samples_leaf
1
5500
min_impurity_split
1e-07
5500
bootstrap
True
5500
oob_score
False
5500
class_weight
None
5500
Python_3.5.2.
Sklearn_0.18.1.
NumPy_1.12.0.
SciPy_0.18.1.
Fri_Mar__3_03.50.30_2017
run_task
sklearn.ensemble.forest.RandomForestClassifier