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.