Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation
Abstract Machine learning methods are widely used to evaluate the risk of small- and medium-sized enterprises (SMEs) in supply chain finance (SCF). However, there may be problems with data scarcity, feature redundancy, and poor predictive performance. Additionally, data collected over a long time sp...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-01-01
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| Series: | Financial Innovation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40854-024-00695-3 |
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