Table 10.

Performance of FCSO, FKH, and FBFO classifiers and super learner on Statlog dataset.

Feature selection algorithm	Size of feature subset	TN	FP	FN	TP	Accuracy	Sensitivity	Specificity	Precision	F-score
CSO	9	53	8	9	38	84.26	80.85	86.89	82.61	0.82
KH	10	53	8	11	36	82.41	76.60	86.89	81.82	0.79
BFO	9	51	10	10	37	81.48	78.72	83.61	78.72	0.79
Super learner	—	10	1	2	9	86.36	81.82	90.91	90.00	0.86