Credit risk prediction in an imbalanced social lending environment
Credit risk prediction is an effective way of evaluating whether a potential borrower will repay a loan, particularly in peer-to-peer lending where class imbalance problems are prevalent. However, few credit risk prediction models for social lending consider imbalanced data and, further, the best re...
Main Authors: | Anahita Namvar, Mohammad Siami, Fethi Rabhi, Mohsen Naderpour |
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Format: | Article |
Language: | English |
Published: |
Springer
2018-01-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25894605/view |
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