A Hybrid Meta-Learner Technique for Credit Scoring of Banks’ Customers
Financial institutions are exposed to credit risk due to issuance of consumer loans. Thus, developing reliable credit scoring systems is very crucial for them. Since, machine learning techniques have demonstrated their applicability and merit, they have been extensively used in credit scoring litera...
Main Authors: | A. G. Armaki, M. F. Fallah, M. Alborzi, A. Mohammadzadeh |
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Format: | Article |
Language: | English |
Published: |
D. G. Pylarinos
2017-10-01
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Series: | Engineering, Technology & Applied Science Research |
Subjects: | |
Online Access: | https://etasr.com/index.php/ETASR/article/view/1361 |
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