In this paper, a new method, cross validation, is presented to deal with credit risk assessment in commercial banks because of less samples of the financial data in our country. The method reduces the predictive bias based on sample reuse techniques. Empirical results indicate that the new technique is more accurate than traditional discriminant analysis method in dealing with the problem of credit risk assessment with less samples.