Ensemble methods#

The imblearn.ensemble module include methods generating under-sampled subsets combined inside an ensemble.

Boosting algorithms#

EasyEnsembleClassifier([n_estimators, ...])

Bag of balanced boosted learners also known as EasyEnsemble.

RUSBoostClassifier([estimator, ...])

Random under-sampling integrated in the learning of AdaBoost.

Bagging algorithms#

BalancedBaggingClassifier([estimator, ...])

A Bagging classifier with additional balancing.

BalancedRandomForestClassifier([...])

A balanced random forest classifier.