Credit Risk Analysis Applying Machine Learning Classification Models

Roy Meléndez

Producción científica: Informe/libroLibrorevisión exhaustiva

1 Cita (Scopus)


The credit risk analysis is a major problem for financial institutions, credit risk models are developed to classify applicants as accepted or rejected with respect to the characteristics of the applicants such as age, current account and amount of credit. In the present investigation, we will apply four classification models to evaluate their performance and compare it with other previous investigations.
Idioma originalEspañol
EstadoPublicada - 1 ene. 2019
Publicado de forma externa

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