Credit Card Default Prediction Using Deep Learning with Adaptive Synthetic Resampling Techniques
Keywords:
Credit Card, Prediction, Deep Learning, Adaptive Synthetic and Resampling Techniques.Abstract
Credit card default prediction is a crucial task in the financial sector, aiming to predict the likelihood of acustomer defaulting on payments. This paper utilizes deep learning and adaptive synthetic resamplingtechniques to address challenges
References
Abdelmoula, A. K. (2015). Bank credit risk analysis with k-nearest-neighbor classifier: Case of Tunisian banks. Accounting and Management Information Systems, 14(1), 79.
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Published
2025-06-30
How to Cite
David Abuto, Dr. Kennedy Ogada. PhD, Prof. Wilson Cheruiyot. PhD. (2025). Credit Card Default Prediction Using Deep Learning with Adaptive Synthetic Resampling Techniques . Journal of Computational Analysis and Applications (JoCAAA), 34(6), 213–226. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2992
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