Table 2.

Performance validation of the developed system over different algorithms

Terms	MBO-BCDNet [37]	BWO-BCDNet [38]	AOSMA-BCDNet [36]	ESOA-BCDNet [39]	RPAOSM-ESO-BCDNet
Accuracy	87.0229	88.77863	90.83969	92.67176	94.58015
Sensitivity	87.19101	88.53933	90.5618	92.35955	94.60674
FNR	86.93642	88.90173	90.98266	92.83237	94.56647
Specificity	77.44511	80.40816	83.78378	86.89218	89.95726
FPR	13.06358	11.09827	9.017341	7.16763	5.433526
Precision	12.80899	11.46067	9.438202	7.640449	5.393258
FDR	86.93642	88.90173	90.98266	92.83237	94.56647
NPV	22.55489	19.59184	16.21622	13.10782	10.04274
FOR	7.045735	6.219512	5.066345	4.062127	2.850356
F1_Score	82.0296	84.27807	87.04104	89.54248	92.22344
MCC	0.722394	0.757974	0.801185	0.840027	0.88134