Under-sampling-based ensembles

The imbalanced_ensemble.ensemble module contains a set of ensemble imbalanced learning methods.

SelfPacedEnsembleClassifier([...])

A self-paced ensemble (SPE) Classifier for class-imbalanced learning.

BalanceCascadeClassifier([base_estimator, ...])

A balance-cascade Classifier for class-imbalanced learning.

BalancedRandomForestClassifier([...])

A balanced random forest classifier.

EasyEnsembleClassifier([n_estimators, ...])

Bag of balanced boosted learners also known as EasyEnsemble.

RUSBoostClassifier([base_estimator, ...])

Random under-sampling integrated in the learning of AdaBoost.

UnderBaggingClassifier([base_estimator, ...])

A Bagging classifier with intergrated random under-sampling.