sklearn.ensemble

Ensemble-based methods for classification, regression and anomaly detection.

User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.

AdaBoostClassifier	An AdaBoost classifier.
AdaBoostRegressor	An AdaBoost regressor.
BaggingClassifier	A Bagging classifier.
BaggingRegressor	A Bagging regressor.
ExtraTreesClassifier	An extra-trees classifier.
ExtraTreesRegressor	An extra-trees regressor.
GradientBoostingClassifier	Gradient Boosting for classification.
GradientBoostingRegressor	Gradient Boosting for regression.
HistGradientBoostingClassifier	Histogram-based Gradient Boosting Classification Tree.
HistGradientBoostingRegressor	Histogram-based Gradient Boosting Regression Tree.
IsolationForest	Isolation Forest Algorithm.
RandomForestClassifier	A random forest classifier.
RandomForestRegressor	A random forest regressor.
RandomTreesEmbedding	An ensemble of totally random trees.
StackingClassifier	Stack of estimators with a final classifier.
StackingRegressor	Stack of estimators with a final regressor.
VotingClassifier	Soft Voting/Majority Rule classifier for unfitted estimators.
VotingRegressor	Prediction voting regressor for unfitted estimators.