oversampling

imbalanced data for rare event modeling

Ensemble Oversampling and Under-sampling For Imbalanced Classification Using Python

Ensemble oversampling and under-sampling combines ensemble tree models with over and under-sampling techniques to improve imbalanced classification results. This tutorial uses the Python library imblearn to compare different ensemble oversampling and under-sampling models, and choose the best model for the imbalanced dataset. You will learn To learn about the specific oversampling and under-sampling techniques, please refer to …

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