Open access
Aug 2026
INSURANCE FRAUD DETECTION USING MACHINE LEARNING ON CLASSIMBALANCED DATASETS WITH MISSING VALUES
The findings show that correcting class imbalance is essential to enhancing model performance, and handling missing data also helps to produce predictions that are more trustworthy, and the AdaBoost Classifier greatly outperforms current methods.
Uzma Fatima, Lubna Nausheen, Sadaf Jahan
· International Journal of AI... · 0 citations