Concentration and excess risk bounds for imbalanced classification with synthetic oversampling

Touqeer Ahmad, Mohammadreza M. Kalan, François Portier +1

Synthetic oversampling of minority examples using SMOTE and its variants is a leading strategy for addressing imbalanced classification problems. Despite the success of this approa…