Flow
sklearn.ensemble.forest.RandomForestClassifier

sklearn.ensemble.forest.RandomForestClassifier

Visibility: public Uploaded 10-09-2019 by Sila Guler sklearn==0.21.3 numpy>=1.6.1 scipy>=0.9 3 runs
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  • openml-python python scikit-learn sklearn sklearn_0.21.3
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Automatically created scikit-learn flow.

Parameters

bootstrapdefault: true
class_weightdefault: null
criteriondefault: "gini"
max_depthdefault: 9
max_featuresdefault: "auto"
max_leaf_nodesdefault: null
min_impurity_decreasedefault: 0.0
min_impurity_splitdefault: null
min_samples_leafdefault: 1
min_samples_splitdefault: 2
min_weight_fraction_leafdefault: 0.0
n_estimatorsdefault: 7
n_jobsdefault: null
oob_scoredefault: false
random_statedefault: null
verbosedefault: 0
warm_startdefault: false

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