A comparison of traditional and Simple Artificial Immune System (SAIS) techniques in consumer credit scoring

摘要

Credit scoring has become a very important task in the credit industry and its use has increased at a phenomenal speed through the mass issue of credit cards since the 1960s. This paper compares the classification performance of the most commonly used traditional statistical as well as intelligent systems techniques against a new artificial intelligence method based on the natural immune system principles, named Simple Artificial Immune System (SAIS). Experiments are performed on three benchmark credit datasets and SAIS was found to be a very competitive technique for developing scorecards.