Publication details

Credit Scoring Models and their Quality



Year of publication 2011
Type Conference abstract
MU Faculty or unit

Faculty of Science

Description Lenders, such as banks and credit card companies, use credit scoring to evaluate the potential risk posed by lending money to consumers. Once a scoring model is available, it is natural to measure its quality. To evaluate the effectiveness of credit scoring models, it is possible to use quantitative indexes such as Gini index, K-S statistics, Lift, Information statistics etc. The presentation deals with mentioned quality indexes, their properties and relationships. Finally, a new approach to measure power of scoring models is discussed and a new quality index is proposed. Also an application of mentioned theory on real data set is demonstrated.
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