A Two-Stage Hybrid Default Discriminant Model Based on Deep Forest

Background: the credit scoring model is an effective tool for banks and other financial institutions to distinguish potential default borrowers. The credit scoring model represented by machine learning methods such as deep learning performs well in terms of the accuracy of default discrimination, bu...

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Detalles Bibliográficos
Autores principales: Li, Gang, Ma, Hong-Dong, Liu, Rong-Yue, Shen, Meng-Di, Zhang, Ke-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150340/
https://www.ncbi.nlm.nih.gov/pubmed/34066807
http://dx.doi.org/10.3390/e23050582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150340/
https://www.ncbi.nlm.nih.gov/pubmed/34066807
http://dx.doi.org/10.3390/e23050582

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