Lucia D. Krisnawatib

Enhancing Fraud Detection in Healthcare through Hybrid Machine Learning Ensembles and Optimization

The results show that hybrid models generally outperform individual base models, with the RF+DT combination achieving the highest accuracy and AUC analysis showed that combining the three classifiers, particularly SVM+RF+DT, achieved the highest discriminative capability.