Under-sampling-based ensembles¶
The imbalanced_ensemble.ensemble.under_sampling
submodule contains
a set of under-sampling-based ensemble imbalanced learning methods.
A self-paced ensemble (SPE) Classifier for class-imbalanced learning. |
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A balance-cascade Classifier for class-imbalanced learning. |
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A balanced random forest classifier. |
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Bag of balanced boosted learners also known as EasyEnsemble. |
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Random under-sampling integrated in the learning of AdaBoost. |
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A Bagging classifier with intergrated random under-sampling. |