PFSC: Parameter-free sphere classifier for imbalanced data classification

Yeontark Park, Jong-Seok Lee

Abstract: Highlights•A novel sphere-based algorithm for imbalanced data classification was proposed.•The proposed method was designed to maximize AUC of a trained classifier.•No hyperparameters need to be set for the proposed method.•The proposed method can effectively train a classifier for severely imbalanced data.