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TEST148cdf5710sklearn.ensemble._forest.RandomForestClassifier

TEST148cdf5710sklearn.ensemble._forest.RandomForestClassifier

Visibility: public Uploaded 11-01-2024 by Continuous Integration sklearn==0.22.2 numpy>=1.11.0 scipy>=0.17.0 joblib>=0.11 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.22.2
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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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