J. Musau

Comparative Predictive Performance of Logistic Regression, Naive Bayes, and Support Vector Machine Models in Loan Default Classification among Microfinance Institution Clients in Makueni County, Kenya

The study concludes that machine-learning models, particularly SVM, significantly improve credit risk prediction in microfinance environments and can support data-driven lending decisions in rural financial institutions.