A hybrid feature selection method for credit scoring

Van-Sang Ha; Nam Nguyen Ha; Hien Nguyen Thi Bao

doi:10.60692/r0dwn-b2w25

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A hybrid feature selection method for credit scoring

Van-Sang Ha Nam Nguyen Ha Hien Nguyen Thi Bao

Year: 2017 Journal: Greater South Information System

DOI: 10.60692/r0dwn-b2w25

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Abstract

Reliable credit scoring models played a very important role of retail banks to evaluate credit applications and it has been widely studied. The main objective of this paper is to build a hybrid credit scoring model using feature selection approach. In this study, we constructed a credit scoring mode

Keywords:

Feature selection Selection (genetic algorithm) Feature (linguistics) Credit risk Mode (computer interface) Credit score

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Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Credit Risk and Financial Regulations

Social Sciences → Economics, Econometrics and Finance → Finance

A hybrid feature selection method for credit scoring

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