Transforming Credit Card Application Approvals Using Advanced Machine Learning Forecasting Models
DOI:
https://doi.org/10.48047/4t1k7614Keywords:
Machine learning, credit card approval, fraud detection, credit risk assessment, decision trees, neural networks, financial inclusion, regulatory compliance, explainable AI, data bias.I.Abstract
This study explores how ML can improve credit card approval through their application. ML has an application in addressing such limitations of traditional credit scoring models, namely: bias, slow processing
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Published
10.02.2023
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How to Cite
Transforming Credit Card Application Approvals Using Advanced Machine Learning Forecasting Models. (2023). International Journal of Information and Electronics Engineering, 13(2), 1-11. https://doi.org/10.48047/4t1k7614
