An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

Machine learning and artificial intelligence have achieved a human-level performance in many application domains, including image classification, speech recognition and machine translation. However, in the financial domain expert-based credit risk models have still been dominating. Establishing mean...

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Bibliographic Details
Main Authors: Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Oyun-Erdene Namsrai, Jong Yun Lee, Keun Ho Ryu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sustainability
Subjects:
automated credit scoring
decision making
machine learning
internet bank
sustainability
Online Access:https://www.mdpi.com/2071-1050/11/3/699

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https://www.mdpi.com/2071-1050/11/3/699

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