Zhou, Yuran (2023) Loan Default Prediction Based on Machine Learning Methods. In: Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China.
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Abstract
Loan default prediction helps institutions predict whether a borrower will default on a loan and decide whether to lend, thereby reducing losses. We investigate the performance of different machine learning models in predicting customers' loan defaults. Four machine learning models: Logistic Regress
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:20 |
| Last Modified: | 17 Apr 2026 03:01 |
| URI: | http://eprints.eai.eu/id/eprint/43352 |
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