Li, Jingyao (2024) Comparative Studies on Methods of Selecting Features in Credit Scoring. In: Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China.
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Abstract
Feature selection (FS) is a critical process in credit scoring, which can improve models, address overfitting, decrease computational cost, and increase model interpretability. This paper presents a classification of research problems and methods related to the above issues. The research problems ca
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:17 |
| Last Modified: | 17 Apr 2026 00:13 |
| URI: | http://eprints.eai.eu/id/eprint/47672 |
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