This paper focused on the problem of the evaluation of classification models for creditscoring. The reason of the model evaluation is to find the optimal solution from variousclassification models generated in an iterated and complex model building process.Classification accuracy is the basic...

As one of the application areas of data mining, the credit scoring problem is related to theclassification decision. The problem of classification decision has three professionalbackgrounds: statistics, machine learning, and artificial neural networks. There are manycategories of classification...

Empirical credit scoring as a technique that has its traditional statistical background is in thispaper looked as the classification problem of data mining.Restricted originally in the reject/accept decisions on consumer credits, the applications ofscoring methods have come to cover the area of...