5678
2568
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier)
sklearn.ensemble.voting_classifier.VotingClassifier
1
sklearn==0.18.1
Automatically created scikit-learn flow.
2017-03-09T15:35:47
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
estimators
[{"oml-python:serialized_object": "component_reference", "value": {"step_name": "rf", "key": "rf"}}]
n_jobs
-1
voting
"soft"
weights
[1]
rf
5500
762
sklearn.ensemble.forest.RandomForestClassifier
sklearn.ensemble.forest.RandomForestClassifier
16
sklearn==0.18.1
Automatically created sub-component.
2017-02-23T15:33:12
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
bootstrap
true
class_weight
null
criterion
"gini"
max_depth
null
max_features
"auto"
max_leaf_nodes
null
min_impurity_split
1e-07
min_samples_leaf
1
min_samples_split
2
min_weight_fraction_leaf
0.0
n_estimators
10
n_jobs
1
oob_score
false
random_state
null
verbose
0
warm_start
false
study_73
Verified_Learning_Curve,Verified_Supervised_Classification