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([base_estimator, …])

Random under-sampling integrated in the learning of AdaBoost.

Bagging algorithms

BalancedBaggingClassifier([base_estimator, …])

A Bagging classifier with additional balancing.


A balanced random forest classifier.