Table 2.

Accuracy results for the FO-CS variants along with the compared algorithms.

Data-set	CS	FO-CS	FO-CS${}_{ML}$	FO-CS${}_P$	FO-CS${}_C$	FO-CS${}_W$	HHO	HGSO	WOA	SSA	GWO	GA
DS1	0.9633	0.9729	0.9774	0.9662	0.9695	0.9695	0.9643	0.9752	0.9476	0.9790	0.9567	0.9462
DS2	0.9476	0.9594	0.9912	0.9611	0.9629	0.9716	0.9731	0.9333	0.9433	0.9719	0.9415	0.9351
DS3	0.9651	0.9410	0.9877	0.9728	0.9567	0.9322	0.9640	0.9854	0.9448	0.9594	0.9157	0.9609
DS4	0.9893	0.9998	0.9923	0.9885	0.9915	0.9968	0.9720	0.9743	0.8960	0.9587	0.8987	0.8667
DS5	0.7403	0.7567	0.8050	0.7395	0.7737	0.7500	0.7450	0.7260	0.7703	0.7653	0.7900	0.7130
DS6	0.8911	0.8605	0.8802	0.9160	0.8198	0.8691	0.9062	0.8914	0.7988	0.8975	0.8272	0.8753
DS7	0.9793	0.8704	0.9394	0.9864	0.9343	0.9249	0.9268	0.9117	0.9174	0.9700	0.9380	0.9577
DS8	0.9370	0.9682	0.9679	0.9753	0.9692	0.9705	0.9725	0.9495	0.9507	0.9655	0.9577	0.9616
DS9	0.9351	0.9978	0.8767	0.9263	0.9667	0.9943	0.9133	0.9319	0.8821	0.9685	0.8756	0.8844
DS10	0.9970	1.0000	0.9993	0.9985	0.9965	0.9988	0.9947	0.9853	0.9497	0.9637	0.9627	0.9477
DS11	0.9133	0.9333	0.8733	0.9333	0.9333	0.9978	0.9556	1.0000	0.9686	1.0000	0.9822	0.8667
DS12	0.9473	0.9730	0.9008	0.9905	0.9833	0.9730	0.9571	0.9556	0.9825	0.9190	0.9381	0.9937
DS13	0.8919	0.8889	0.9580	0.9235	0.8401	0.8654	0.9308	0.9148	0.7593	0.8099	0.7716	0.8580
DS14	0.8389	0.8247	0.8194	0.8399	0.8408	0.8229	0.8177	0.8101	0.7809	0.7990	0.7819	0.8250
DS15	0.9056	0.9356	0.9317	0.9789	0.9744	0.9289	0.9667	0.9844	0.9622	0.9567	0.9700	0.9600
DS16	0.7246	0.7538	0.7464	0.7478	0.7444	0.7567	0.7287	0.7283	0.7283	0.7381	0.7186	0.75333
DS17	0.9741	1.0000	0.9991	1.0000	0.9954	1.0000	0.9981	0.9981	0.9759	1.0000	0.9833	0.9833
DS18	1.0000	0.9984	1.0000	1.0000	1.0000	1.0000	1.0000	1.0000	0.9968	1.0000	0.9841	1.0000