61 17478 0 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). 0 0 sklearn==0.20.3 numpy>=1.6.1 scipy>=0.9 sklearn.ensemble.forest.RandomForestClassifier 2019-01-30T13:19:37Z sklearn.ensemble.forest.RandomForestClassifier openml==0.10.2,sklearn==0.20.3 public