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Entropy multi-hyperplane credit scoring model is a decision model that classifies applicants into payers or defaulters by optimizing the classification cost using multiple hyperplanes based on entropy order. In the first stage, the model uses a pair of hyperplanes composed of half of the attributes which are ordered increasingly by the entropy. The hyperplanes divide the applicants into 3 groups,...
Credit scoring model development became a very important issue as the credit industry has many competitions. Therefore, most credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring models during the past few years. This study constructs a hybrid SVM-based credit scoring models to evaluate the applicantpsilas credit score from the applicantpsilas...
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