The Applied Research of Credit Scoring Combination Model Based on SA-GA Algorithm

In the area of personal credit risk management business, the domestic issues haven´t developed a personal credit scoring method which matches with the development of personal credit. To some extent this problem has constrained and impeded the sound development of China´s consumer credit business. Therefore, based on the principles of combination forecast, this paper proposes optimization in the weight of a single model in combining models using SA-GA and constructs an individual credit score combination forecast model based on SA-GA. The result shows that the combination model can be effectively integrated with the advantages of a single model, and it also has more advantages in prediction accuracy and stability. Moreover, this model can effectively explain the impact of variables upon default, and shows relatively strong practical value.