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USING THE LISP-MINER SYSTEM FOR CREDIT RISK ASSESSMENT
2016
Neural Network World
Credit risk assessment, credit scoring and loan applications approval are one of the typical tasks that can be performed using machine learning or data mining techniques. From this viewpoint, loan applications evaluation is a classification task, in which the final decision can be either a crisp yes/no decision about the loan or a numeric score expressing the financial standing of the applicant. The knowledge to be used is inferred from data about past decisions. These data usually consist of
doi:10.14311/nnw.2016.26.029
fatcat:x7gqu3lwbbdafdw7exwvscaviy