Personal Credit Scoring Method Based on Weighted Combineing Model
Yu‐Fang Chen · Technoeconomics & Management Research · 2008
With the rapid progress of the personal credit model,the accuracy and stability can not be improved at the same time.Based on the advantages of linear method with non-linear method in the personal credit scoring,chose typical logistic regression and RBF neural network to evaluate the personal credit through weighted combining model,which improve the accuracy and stability of the scoring model.