Table 7. Results comparison of the best, mean, standard deviation, median, and worst overall performance based on the GA-CNN, LCBO-CNN, MVO-CNN, SBO-CNN, WOA-CNN, and EOSA-CNN hybrid algorithms compared with the basic CNN architecture.

Measure	Metric	GA-CNN	LCBO-CNN	MVO-CNN	SBO-CNN	WOA-CNN	EOSA-CNN	CNN
Accuracy	Best	0.81	0.81	0.79	0.81	0.81	0.82	0.76
	Mean	0.77	0.78	0.772	0.776	0.778	0.81	0.738
	STD	0.025495	0.018708	0.016432	0.027928	0.031145	0.012247	0.016432
	Median	0.77	0.78	0.78	0.77	0.78	0.81	0.73
	Worst	0.74	0.76	0.75	0.75	0.73	0.79	0.72
Kappa	Best	0.67	0.68	0.66	0.67	0.67	0.70	0.6
	Mean	0.622	0.634	0.62	0.626	0.632	0.676	0.574
	STD	0.031145	0.035071	0.03	0.042778	0.043243	0.018166	0.026077
	Median	0.62	0.64	0.63	0.62	0.64	0.68	0.57
	Worst	0.59	0.59	0.59	0.58	0.56	0.65	0.54
Precision	Best	0.84	0.87	0.85	0.86	0.83	0.83	0.81
	Mean	0.81	0.824	0.808	0.81	0.812	0.818	0.798
	STD	0.025495	0.031305	0.0249	0.030822	0.014832	0.008367	0.013038
	Median	0.81	0.81	0.8	0.81	0.81	0.82	0.8
	Worst	0.78	0.79	0.79	0.78	0.79	0.81	0.78
Recall	Best	0.81	0.81	0.79	0.81	0.81	0.82	0.76
	Mean	0.77	0.78	0.772	0.776	0.778	0.81	0.738
	STD	0.025495	0.018708	0.016432	0.027928	0.031145	0.012247	0.016432
	Median	0.77	0.78	0.78	0.77	0.78	0.81	0.73
	Worst	0.74	0.76	0.75	0.75	0.73	0.79	0.72
F1 score	Best	0.81	0.81	0.81	0.82	0.81	0.82	0.78
	Mean	0.786	0.79	0.782	0.788	0.79	0.812	0.762
	STD	0.018166	0.02	0.016432	0.027749	0.024495	0.013038	0.017889
	Median	0.78	0.80	0.78	0.79	0.79	0.82	0.76
	Worst	0.77	0.76	0.77	0.76	0.75	0.79	0.74
Specificity	Best	0.9	0.94	0.9	0.98	0.94	0.98	0.73
	Mean	0.782	0.828	0.83	0.824	0.808	0.926	0.692
	STD	0.079498	0.133866	0.072111	0.104067	0.127161	0.0498	0.023875
	Median	0.76	0.86	0.82	0.77	0.78	0.92	0.68
	Worst	0.7	0.62	0.72	0.73	0.64	0.85	0.67
Sensitivity	Best	0.66	0.79	0.67	0.53	0.41	0.38	0.53
	Mean	0.45	0.426	0.396	0.35	0.358	0.256	0.484
	STD	0.156045	0.222778	0.17883	0.135093	0.074297	0.11349	0.063875
	Median	0.37	0.37	0.37	0.33	0.37	0.27	0.53
	Worst	0.3	0.2	0.18	0.18	0.23	0.13	0.40