Two undersampling methods, MI-based stratified sampling and support point optimization, are applied to class-imbalanced classification and compared to random undersampling on two datasets.
An overview of classification algorithms for imbalanced datasets
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Statistical Undersampling with Mutual Information and Support Points
Two undersampling methods, MI-based stratified sampling and support point optimization, are applied to class-imbalanced classification and compared to random undersampling on two datasets.