Abstract
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.
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Melendez, R. (2019). Credit Risk Analysis Applying Machine Learning Classification Models. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 997. Springer, Cham. https://doi.org/10.1007/978-3-030-22871-2_57
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DOI: https://doi.org/10.1007/978-3-030-22871-2_57
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