Loan Default Prediction with Deep Learning and Muddling Label Regularization
Loan default prediction has been a significant problem in the financial domain because overdue loans may incur significant losses. Machine learning methods have been introduced to solve this problem, but there are still many challenges including feature multicollinearity, imbalanced labels, and smal...
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Published in | IEICE Transactions on Information and Systems Vol. E105.D; no. 7; pp. 1340 - 1342 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Tokyo
The Institute of Electronics, Information and Communication Engineers
01.07.2022
Japan Science and Technology Agency |
Subjects | |
Online Access | Get full text |
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