Combination of unsupervised discretization methods for credit risk

Creating robust and explainable statistical learning models is essential in credit risk management. For this purpose, equally spaced or frequent discretization is the de facto choice when building predictive models. The methods above have limitations, given that when the discretization procedure is...

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Detalles Bibliográficos
Autores principales: Fuentes Cabrera, José G., Pérez Vicente, Hugo A., Maldonado, Sebastián, Velasco, Jonás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681304/
https://www.ncbi.nlm.nih.gov/pubmed/38011207
http://dx.doi.org/10.1371/journal.pone.0289130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681304/
https://www.ncbi.nlm.nih.gov/pubmed/38011207
http://dx.doi.org/10.1371/journal.pone.0289130

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