A Credit Scoring Model in Banking and Finance Using Machine Learning

Swastik Rout

Volume 7, Issue 1 2023

Page: 9-14

Abstract

Personal credit has recently become one of banks' most crucial credit products. Banks and Monetary Organizations continuously attempt to find a satisfactory FICO rating appraisal model to lessen loaning risks and increment money for banks and monetary establishments. This paper applies AI to make a credit scoring model for bank applications. The work also discussed about ascertaining and setting limits for choosing an ideal FICO rating endpoint. Trial results demonstrate how our proposed strategy can be applied in banks or Credit Establishments to decrease taking a chance in advance management.

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