A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

Xiaowei Gu, Plamen P Angelov, Eduardo Almeida Soares

Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50% to 80%) is used for training and the rest for validation. In many problems, h…