Analyzing the Performance of Ensemble Machine Learning Algorithms for Predicting Loan Eligibility

Loans are becoming increasingly important in the banking sector, but traditional methods of assessing them based mainly on asset value and income often fall short in identifying reliable borrowers. Our research addresses this gap by using machine learning techniques to predict loan eligibility more...

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Veröffentlicht in:	2024 9th International Conference on Communication and Electronics Systems (ICCES) S. 1362 - 1367
Hauptverfasser:	C, Santhosh Kumar, S, Manishankar, Reddy, Perla Madhava, Gopal, Keertan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.12.2024
Schlagworte:	Accuracy Banking Branch-specific assessment Decision trees Extra Trees algorithm Industries Loan default reduction Loan eligibility prediction Machine learning Machine learning algorithms Online loan application Prediction algorithms Reliability Uncertainty User interfaces
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