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

Table 3

Outline of training and testing instances of each .

Instances	WDBC dataset	SHD dataset	HCC dataset	HD dataset	VCD dataset	CHD dataset	ILP dataset
Total number of instances before SMOTE	569	270	165	155	310	303	583
Total number of instances after SMOTE	780	270	228	251	410	303	750
Number of training instances for FCSO/FKH/FBFO classifiers	468	162	137	151	246	182	450
	60% of the total number of instances after SMOTE
Number of testing instances for FCSO/FKH/FBFO classifiers	312	108	91	100	164	121	300
	40% of the total number of instances after SMOTE
Number of training instances for super learner	250	86	73	80	131	97	240
	80% of the total testing instances for FCSO/FKH/FBFO classifiers
Number of testing instances for	62	22	18	20	33	24	60
Super learner	20% of the total testing instances for FCSO/FKH/FBFO classifiers

Each instance refers to the classification result pertaining to each instance of the testing set for FCSO, FKH, and FBFO classifiers and the class label corresponding to each instance of the testing set.