Predicting Credit Scores with Boosted Decision Trees
Credit scoring models help lenders decide whether to grant or reject credit to applicants. This paper proposes a credit scoring model based on boosted decision trees, a powerful learning technique that aggregates several decision trees to form a classifier given by a weighted majority vote of classi...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2022-11-01
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| Schriftenreihe: | Forecasting |
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| Online-Zugang: | https://www.mdpi.com/2571-9394/4/4/50 |
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