Table 4. Evaluate the different performance metrics for our employed classifiers without NSGA-II.

Metrics	DT	SVM	KNN	RF	ET	SEHM
Accuracy	0.8376	0.8205	0.8547	0.9145	0.8717	0.9316
Precision	0.8095	0.8032	0.8867	0.9285	0.8307	0.9464
Recall	0.8793	0.8448	0.8103	0.8965	0.9310	0.9137
F1-score	0.8429	0.8235	0.8468	0.9122	0.8780	0.9298
J-score	0.7285	0.70	0.7343	0.9122	0.7826	0.8688
CK-score	0.6754	0.6411	0.7091	0.8289	0.7438	0.8631
H-loss	0.1623	0.1794	0.1452	0.0854	0.1282	0.0683