A Feature Selection Based on Network Structure for Credit Card Default Prediction

This paper proposes a new feature selection algorithm named as NSFSA, which performs excellently and is applied to five machine learning models to train predictors over the real dataset of consumption records by credit card, and also compares with four existing feature selection algorithms.