Table 5. Evaluate the different performance metrics for our employed classifiers by applying NSGA-II.

Metrics	MO-DT	MO-SVM	MO-KNN	MO-RF	MO-ET	MO-SEHM
Accuracy	0.8947	0.8859	0.9230	0.9230	0.9385	0.9487
Precision	0.8688	0.8666	0.9152	0.9313	0.9491	0.9482
Recall	0.9298	0.9122	0.9310	0.9103	0.9211	0.9482
F1-score	0.8983	0.8888	0.9230	0.9206	0.9348	0.9482
J-score	0.8153	0.80	0.8571	0.8604	0.8972	0.9016
CK-score	0.7894	0.7719	0.8461	0.8380	0.8501	0.8974
H-loss	0.1052	0.1140	0.0769	0.0769	0.0614	0.0512