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

Table 2

Outline of the datasets used.

Dataset name	No. of instances	No. of features	No. of missing values	Class labels with no. of instances associated with each class label	Interpretation of class labels
WDBC	569	31	Nil	M (212)/B (357)	M-malignant, B-benign
SHD	270	13	Nil	2 (120)/1 (150)	2-present, 1-absent
HCC	165	49	826	0 (63)/1 (102)	0-dies, 1-lives
HD	155	18	167	1 (32)/2 (123)	1-die, 2-live
VCD	310	6	Nil	0 (210)/1 (100)	0-abnormal, 1-normal
CHD	303	13	Nil	1 (139)/2 (164)	1-presence, 2-absence
ILP	583	10	Nil	1 (416)/2 (167)	1-diseased, 2-nondiseased

without class label.