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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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριος συγγραφέας:	João A. Bastos
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2022-11-01
Σειρά:	Forecasting
Θέματα:	forecasting credit scoring credit risk boosted decision trees machine learning
Διαθέσιμο Online:	https://www.mdpi.com/2571-9394/4/4/50
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