A proposed model for loan approval prediction using XAI | ||
| Nile Journal of Communication and Computer Science | ||
| Volume 6, Issue 1, December 2023, Pages 1-11 PDF (974.4 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/njccs.2024.215974.1013 | ||
| Authors | ||
| Omar M Ayad* 1; Abd-El.Fattah hegazy2; Ahmed Dahroug3 | ||
| 1Arab Academy for Science& Technology and Maritime transport | ||
| 2College of Computing and Information Technology, Cairo Arab Academy for Science, technology, and maritime transport | ||
| 3College of Computing and Information Technology, Cairo Arab Academy for Science, technology, and maritime transport adahroug_87@aast.edu | ||
| Abstract | ||
| Abstract— With the rapid growth in the banking sector due to the current inflation in Egypt, many people go to the bank for a loan. This paper proposes a model which predicts loan approval of bank applicants using explainable artificial intelligence, this study is based on the “Give Me Some Credit” dataset with more than 120k rows so the paper could train the model on earlier records of bank applicants that applied before for a bank loan. Keywords—: Loan, XAI, prediction, machine learning, banking sectorAbstract— With the rapid growth in the banking sector due to the current inflation in Egypt, many people go to the bank for a loan. This paper proposes a model which predicts loan approval of bank applicants using explainable artificial intelligence, this study is based on the “Give Me Some Credit” dataset with more than 120k rows so the paper could train the model on earlier records of bank applicants that applied before for a bank loan. Keywords—: Loan, XAI, prediction, machine learning, banking sector | ||
| Keywords | ||
| Loan; XAI; prediction; machine learning; banking sector | ||
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