A Hybrid Machine Learning Model for Credit Approval

Incorrect decision-making in financial institutions is very likely to cause financial crises. In recent years, many studies have demonstrated that artificial intelligence techniques can be used as alternative methods for credit scoring. Previous studies showed that prediction models built using hybr...

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Bibliographic Details
Main Authors: Cheng-Hsiung Weng, Cheng-Kui Huang
Format: Article
Language:English
Published: Taylor & Francis Group 2021-12-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2021.1982475