Table 9.

FS results of the FO-CS variants along with the compared algorithms in both COVID-19 data-sets.

		Data-set1
		CS	FO-CS	FO-CS${}_{ML}$	FO-CS${}_P$	FO-CS${}_C$	FO-CS${}_W$	HHO	HGSO	WOA	SSA	GWO	SGA
Accuracy	Best	0.7133	0.8067	0.8467	0.8333	0.8267	0.8400	0.7600	0.7867	0.8267	0.7933	0.7533	0.7667
	Mean	0.6907	0.7613	0.8267	0.8133	0.8093	0.8267	0.7267	0.7653	0.7587	0.7680	0.7080	0.7373
	STD	0.0167	0.0307	0.0249	0.0163	0.0130	0.0105	0.0267	0.0173	0.0417	0.0238	0.0272	0.0180
	Worst	0.6667	0.7333	0.7933	0.7933	0.7933	0.8133	0.6933	0.7400	0.7200	0.7333	0.6800	0.7200
Fitness value	Mean	0.2814	0.0180	0.0159	0.0166	0.0187	0.0098	0.0328	0.0324	0.0388	0.2555	0.1374	0.3990
	STD	0.0048	0.0027	0.0047	0.0028	0.0023	0.0023	0.0089	0.0060	0.0078	0.0072	0.0088	0.0058
	Best	0.2747	0.0144	0.0118	0.0144	0.0175	0.0066	0.0219	0.0228	0.0281	0.2468	0.1285	0.3900
	Worst	0.2878	0.0214	0.0227	0.0214	0.0228	0.0123	0.0455	0.0389	0.0491	0.2638	0.1521	0.4035
	Attr	177.2	25.6	27.6	27.6	25.4	27.4	23.4	25.4	26.4	172.4	72.2	263.4
		Data-set 2
Accuracy	Best	0.9895	0.9842	0.9895	0.9947	0.9737	1.0000	0.9789	0.9789	0.9526	0.9895	0.9579	0.9842
	Mean	0.9779	0.9779	0.9874	0.9842	0.9705	0.9926	0.9632	0.9579	0.9337	0.9789	0.9347	0.9811
	STD	0.0094	0.0069	0.0029	0.0064	0.0047	0.0060	0.0134	0.0144	0.0177	0.0064	0.0228	0.0047
	Worst	0.9632	0.9684	0.9842	0.9789	0.9632	0.9842	0.9474	0.9421	0.9105	0.9737	0.9000	0.9737
Fitness value	Mean	0.2814	0.0180	0.0159	0.0166	0.0187	0.0098	0.0328	0.0324	0.0388	0.2555	0.1374	0.3990
	STD	0.0048	0.0027	0.0047	0.0028	0.0023	0.0023	0.0089	0.0060	0.0078	0.0072	0.0088	0.0058
	Best	0.2747	0.0144	0.0118	0.0144	0.0175	0.0066	0.0219	0.0228	0.0281	0.2468	0.1285	0.3900
	Worst	0.2878	0.0214	0.0227	0.0214	0.0228	0.0123	0.0455	0.0389	0.0491	0.2638	0.1521	0.4035
	Attr	123.8	23.2	24.4	24	21.8	22.8	26.6	25.2	22.6	112.2	68	178.4