Personal Credit Rating System Based on the Logistic Regression Method

Abstract

Credit card rating has become an increasingly crucial problem in the society as credit card system greatly improves the efficiency and convenience of people's life. The rating of credit card is an important part of risk control. In this research we focus on predicting credit card holder's default rate. Classical classifiers are implemented in this research to find the optimal model and method of data preprocessing.