oalogo2  

AUTHOR(S):

Ozer Ozdemir, Neslihan Turkozu

 

TITLE

Classification of Credit Risk Data by Using Deep Learning Algorithms

pdf PDF

ABSTRACT

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.

KEYWORDS

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

 

cc.png
Copyright © 2021 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0