Comparative Study of Logistic Regression, Random Forest, and XGBoost for Bank Loan Approval Classification

Bank loan approval plays a vital role in ensuring financial institutions can minimize credit risk while supporting economic growth. Default prediction is a crucial aspect of banking credit risk management. This study compares three machine learning algorithms Logistic Regression, Random Forest, and...

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Bibliographic Details

Published in:	Journal of Applied Informatics and Computing Vol. 9; no. 5; pp. 2822 - 2835
Main Authors:	Putra, Hamdika, Rumini, Rumini
Format:	Journal Article
Language:	English Indonesian
Published:	Politeknik Negeri Batam 19.10.2025
Subjects:	bank loan approval credit risk logistic regression random forest xgboost
ISSN:	2548-6861, 2548-6861
Online Access:	Get full text
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