Table 1.

Description of datasets

#	Dataset	No. of features	No. of instances	No. of classes	Category
1	Iris	4	150	3	Low dimensionality
2	Tic-tac-toe	9	958	2	Low dimensionality
3	Breast Cancer	9	699	2	Low dimensionality
4	ILPD	10	583	2	Low dimensionality
5	Wine	13	178	3	Low dimensionality
6	Congressional VR	16	435	2	Low dimensionality
7	Zoo	16	101	7	Low dimensionality
8	Lymphography	18	148	4	Low dimensionality
9	Hepatitis	19	155	2	Low dimensionality
10	Parkinsons	22	195	2	Low dimensionality
11	Flags	30	194	8	Low dimensionality
12	Dermatology	34	366	6	Low dimensionality
13	Ionosphere	34	351	2	Low dimensionality
14	Soybean small	35	47	4	Low dimensionality
15	Lung cancer	56	32	3	Low dimensionality
16	Sonar	60	208	2	Low dimensionality
17	Gastrointestinal lesions	698	76	3	High dimensionality
18	DBWorld e-mails	4702	64	2	High dimensionality
19	Arcene	10,000	900	2	High dimensionality
20	Amazon reviews	10,000	1500	50	High dimensionality