Ensemble-based methods for classification, regression and anomaly detection.
An AdaBoost classifier.
An AdaBoost regressor.
A Bagging classifier.
A Bagging regressor.
An extra-trees classifier.
An extra-trees regressor.
Gradient Boosting for classification.
Gradient Boosting for regression.
HistGradientBoostingClassifier
Histogram-based Gradient Boosting Classification Tree.
Histogram-based Gradient Boosting Regression Tree.
Isolation Forest Algorithm.
A random forest classifier.
A random forest regressor.
An ensemble of totally random trees.
Stack of estimators with a final classifier.
Stack of estimators with a final regressor.
Soft Voting/Majority Rule classifier for unfitted estimators.
Prediction voting regressor for unfitted estimators.
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