Improved of K-Nearest Neighbor Techniques in Credit Scoring
نویسندگان
چکیده
Credit scoring has gained more and more attentions both in academic world and the business community today. Many modeling techniques have been developed to tackle the credit scoring tasks. Credit scoring models have been widely used by financial institutions to determine if loan customers belong to either a good applicant group or a bad applicant group. The advantages of using credit scoring models are K-Nearest Neighbor can be described as the benefit from reducing the cost of credit analysis, enabling faster credit decision, insuring credit collections. This model is compare with other models depends upon the each models credit scoring.
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