A Machine Learning based Approach to Reduce Behavioral Noise Problem in an Imbalanced Data: Application to a fraud detection

A two-phase feature selection technique using mutual information and XGB-RFE for credit card fraud detection

“…Dealing with imbalanced data is a major challenge, focused on minimizing the error rate of the negative class while ignoring the positive class [6]. Facing the challenge of high dimensional imbalanced data in many real-world applications such as medical dataset [3].…”