Undersampling method based on minority class density for imbalanced data

Zhongqiang Sun, Wenhao Ying, Wenjin Zhang, Shengrong Gong

Abstract: Highlights•The method learns the distribution of the minority class with time complexity O(nlogn).•The sampling fitness combined with the roulette operator reduces information loss.•The experiments confirmed the effectiveness of the proposed method.