0 sklearn==0.22.1 numpy>=1.6.1 scipy>=0.9 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). sklearn.ensemble._forest.RandomForestClassifier 17493 2020-01-16T14:55:06Z 1 0 0 openml==0.11.0dev,sklearn==0.22.1 sklearn.ensemble._forest.RandomForestClassifier public