Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

Wei Vivian Li, Xin Tong, Jingyi Jessica Li

Asymmetric binary classification problems, in which the type I and II errors have unequal severity, are ubiquitous in real-world applications. To handle such asymmetry, researchers…