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sklearn.ensemble.forest.RandomForestClassifier

sklearn.ensemble.forest.RandomForestClassifier

Visibility: public Uploaded 17-05-2020 by Heinrich Peters sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.21.2
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A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if `bootstrap=True` (default).

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