Table 13.

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

Feature selection algorithm	Size of feature subset	TN	FP	FN	TP	Accuracy	Sensitivity	Specificity	Precision	F-score
CSO	3	74	10	17	63	83.54	78.75	88.10	86.30	0.82
KH	3	81	3	13	67	90.24	83.75	96.43	95.71	0.89
BFO	2	80	4	17	63	87.20	78.75	95.24	94.03	0.86
Super learner	—	19	2	4	8	81.82	66.67	90.48	80.00	0.73