The Construction of an Individual Credit Risk Assessment Method: Based on the Combination Algorithms

摘要

As the rapid growth of personal credit business, we have always been seeking to establish an effective risk assessment model to achieve low costs and better accuracy of decision-making. Over the past few years, the so-called combined algorithms have appeared in many fields, but they are always useless in the field of individual credit risk assessment. So we constructed a practical method based on combined algorithms, and we tested it empirically. The result shows that the application of the method can achieve better accuracy than the BP neural network.