A proposed model for loan approval prediction using XAI

Document Type : Original Article

Authors

1 Arab Academy for Science& Technology and Maritime transport

2 College of Computing and Information Technology, Cairo Arab Academy for Science, technology, and maritime transport

3 College 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

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Nile Journal of Communication and Computer Science
Volume 6, Issue 1
December 2023
Pages 1-11

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