Table 4.

Results of algorithms using Friedman test.

	PSO	MVO	GWO	MFO	WOA	FFA	BAT	AQU	TSO
	Binary classification
Accuracy	1	8	5.33	6.33	3	2	6	9	4.33
Recall	4.66	1.66	1.33	7	3	4.33	8	9	6
Precision	1.33	6	4.33	8	3	7	4.66	9	1.66
F1-Measure	1.66	2.66	7.66	6.33	4.33	3.33	6.33	9	3.66
	Multi classification
Accuracy	1	8	4.66	6	3	2	7	9	4.33
Recall	5	2.16	1	7	2.83	4	8	9	6
Precision	2.16	5.66	3.66	7.33	2.33	7.66	5.66	8.66	1.83
F1-Measure	1	3	7.33	7	4.33	2	6.5	8.66	5.16