RANDOM FOREST MODEL ON BIG DATA FOR FORECASTING THE STABILITY OF THE BANKING SYSTEM OF THE RUSSIAN FEDERATION

RANDOM FOREST MODEL ON BIG DATA FOR FORECASTING THE STABILITY OF THE BANKING SYSTEM OF THE RUSSIAN FEDERATION

The article analyzes current trends in the use of artificial intelligence, cognitive technologies, Big Data and other innovations in order to predict the stability of the Russian banking system. The current trends in the development of banking innovations in the context of digitalization of the econ...

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Bibliographic Details
Main Authors: Nikolay I. Lomakin, Olga V. Yurova, Ekaterina V. Kosobokova, Oksana A. Minaeva, Valentina F. Trunina, Yury A. Kachanov
Format: Article
Language:English
Published: Science and Innovation Center Publishing House 2023-03-01
Series:Наука Красноярья
Subjects:
ai-model
“random forest”
digital economy
stability of the banking system
Online Access:http://kras-science.ru/jour/index.php/nk/article/view/161

Internet

http://kras-science.ru/jour/index.php/nk/article/view/161

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