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sklearn.ensemble.forest.RandomForestClassifier

sklearn.ensemble.forest.RandomForestClassifier

Visibility: public Uploaded 02-03-2019 by Pieter Gijsbers sklearn==0.20.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.2
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Automatically created scikit-learn flow.

Parameters

bootstrapdefault: true
class_weightdefault: null
criteriondefault: "gini"
max_depthdefault: null
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: "warn"
n_jobsdefault: null
oob_scoredefault: false
random_statedefault: null
verbosedefault: 0
warm_startdefault: false

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