Table 11.

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

Feature selection algorithm	Size of feature subset	TN	FP	FN	TP	Accuracy	Sensitivity	Specificity	Precision	F-score
CSO	20	43	9	9	31	80.43	77.50	82.69	77.50	0.78
KH	39	48	4	13	27	81.52	67.50	92.31	87.10	0.76
BFO	35	47	5	20	20	72.83	50.00	90.38	80.00	0.62
Super learner	—	10	1	0	8	94.74	100.00	90.91	88.89	0.94