A new classification algorithm for the bank customer credit rating

Abstract

This paper develops a new combination model incorporating three excellent classification algorithms to solve the bank customer credit rating problem. Computational results on well-known credit records from German, Australian, Chinese and Japan banks show that, compared with other state-of-the-art classification algorithms, the proposed algorithm has higher efficiency and better evaluation results in most experimental cases.