Table 2.

Performance Evaluation of LR, RF, and the proposed Weighted Average Ensemble Model.

Performance Metrics	Logistic Regression	Random Forest	Weighted Average
Accuracy	0.9318	0.9839	0.9901
Precision	0.9539	0.9673	0.9754
Sensitivity (Recall)	0.8430	0.9729	0.9840
Specificity	0.9785	0.9772	0.9887
FMeasure	0.8950	0.9465	0.9795