A Computational Study for Feature Selection on Customer Credit Evaluation

Customer credit evaluation is an important decision process in many business areas. E-commerce and online banking bring new challenge to evaluate the customer credit with time constrains and risk. This paper will present a framework to build the decision tool on evaluating customer credit and compare different decision models used in the literature and commercial software. The results of this study shed the light of improving the existing evaluation systems with flexibility and robustness.