Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner

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	-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