Publication: Technology of forecasting potentially unstable credit organizations based on machine learning methods
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2020
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© 2020 The Authors. Published by Elsevier B.V.The article presents the results of the application of machine learning methods, in particular, various modifications of decision trees, to predict potentially unstable credit organizations. The application of different modifications of decision trees in the modeling of the specified task and current situation in banking sphere are considered. The technology for solving classification problems using machine learning methods is generalized. A Python program script, which enables to solve classification problems on the basis of the proposed methodology, was developed. The results of the application of machine learning methods using the developed program to solve this problem were described and their quality was analyzed.
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Domashova, J. Technology of forecasting potentially unstable credit organizations based on machine learning methods / Domashova, J., Kulaev, M. // Procedia Computer Science. - 2020. - 169. - P. 767-772. - 10.1016/j.procs.2020.02.167