Table 2.

Overall Performance analysis for the proposed brain tumour diagnosis model over diverse meta heuristic-based approaches

Measures	PSO-CNN-EC [35]	GWO-CNN-EC [36]	WOA-CNN-EC [26]	DHOA-CNN-EC [27]	ACV-DHOA-CNN-EC
“Accuracy”	0.94862	0.94466	0.95652	0.94862	0.96443
“Sensitivity”	0.9749	0.97083	0.97917	0.96694	0.98354
“Specificity”	0.5	0.46154	0.53846	0.54545	0.5
“Precision”	0.97083	0.97083	0.9751	0.97908	0.97951
“FPR”	0.5	0.53846	0.46154	0.45455	0.5
“FNR”	0.025105	0.029167	0.020833	0.033058	0.016461
“NPV”	0.5	0.46154	0.53846	0.54545	0.5
“FDR”	0.029167	0.029167	0.024896	0.020921	0.020492
“F1-Score”	0.97286	0.97083	0.97713	0.97297	0.98152
“MCC”	0.49179	0.43237	0.53765	0.45703	0.50865