Review
Open access
2026
Enhancing Fraud Detection with Hybrid Machine Learning Models
Experimental findings show that hybrid models are much more effective than standalone classifiers with respect to precision, recall, F 1 -score and area under the ROC curve (AUC) particularly in detecting rare and unseen cases of frauds.
M. Mohammed
· International Journal of App... · 0 citations