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M. Mohammed

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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 · 0 citations

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