Ozer Ozdemir, Neslihan Turkozu



Classification of Credit Risk Data by Using Deep Learning Algorithms

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It is very important to be able to give the right amount of credit to the right customer, at the right time, in order to effectively manage the increasing credit usage and demands of customers. As a result, it is aimed to increase efficiency in repayment of loans. Along with increasing efficiency, it is aimed to minimize risk and increase profitability. In line with these purposes, Artificial Neural Networks Method, one of the deep learning methods, which is one of the sub-branches of machine learning, was applied in this study in order to determine whether the customer will repay the loan and compared with algorithms such as Logistic Regression and Random Forest.


Deep learning, Artificial neural networks, Credit risk, Classification algorithms


Cite this paper

Ozer Ozdemir, Neslihan Turkozu. (2021) Classification of Credit Risk Data by Using Deep Learning Algorithms. International Journal of Computers, 6, 96-101


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