Table 12.

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

Feature selection algorithm	Size of feature subset	TN	FP	FN	TP	Accuracy	Sensitivity	Specificity	Precision	F-score
CSO	16	47	2	10	42	88.12	80.77	95.92	95.45	0.88
KH	10	45	4	6	46	90.10	88.46	91.84	92.00	0.90
BFO	19	47	2	12	40	86.14	76.92	95.92	95.24	0.85
Super learner	—	8	1	1	11	90.48	91.67	88.89	91.67	0.92