Interpretable machine learning for imbalanced credit scoring datasets
Yujia Chen, Raffaella Calabrese, Belen Martin-Barragan
| Year of publication: |
2024
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|---|---|
| Authors: | Chen, Yujia ; Calabrese, Raffaella ; Martin-Barragan, Belen |
| Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 312.2024, 1 (1.1.), p. 357-372
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| Subject: | Credit scoring | Interpretability | Machine learning | OR in banking | Stability | Künstliche Intelligenz | Artificial intelligence | Kreditwürdigkeit | Credit rating | Kreditrisiko | Credit risk | Theorie | Theory |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2023.06.036 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014456269