Predictive Modelling of Credit Default Risk Using Machine Learning and Ensemble Techniques
This study develops a hybrid framework integrating ensemble learning with explainable artificial intelligence to address the methodological challenge of balancing predictive accuracy and interpretability in credit risk model comparison. Using the German Credit Dataset, we implemented a comprehensive...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-03-01
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| Collection: | Mathematical and Computational Applications |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2297-8747/31/2/45 |
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