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Predicting Loan Defaulters: A Comprehensive Analysis and Comparative Study of Machine Learning Algorithms Using a Large-Scale Loan Default Dataset

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Al-Azhar University – Gaza
Taha A.H.A.; Abu-Naser S.S.
Taha, Aya Helmi Abu (60161474300); Abu-Naser, Samy S. (26533902900)
60161474300; 26533902900
2026
Lecture Notes in Networks and Systems
Predicting Loan Defaulters: A Comprehensive Analysis and Comparative Study of Machine Learning Algorithms Using a Large-Scale Loan Default Dataset
1539 LNNS
15
28
Bhateja V.; El Barachi M.; Azar A.T.; Sharma D.K.
Springer Science and Business Media Deutschland GmbH
Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Taha A.H.A., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; Abu-Naser S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-9248-4_2
Analysis; Loan defaulters; Machine Learning; Prediction
Classification (of information); Classifiers; Economic analysis; Finance; Large datasets; Learning algorithms; Learning systems; Machine learning; Neural networks; Reliability analysis; Analyze; Comparatives studies; Comprehensive analysis; Financial institution; Large-scales; Loan default; Loan defaulter; Machine learning algorithms; Machine-learning; Power; Forecasting