Table 2.

Description of binary datasets.

Datasets	Number of Data	Number of Attribute	Continuous Attribute	Discrete Attribute	Classes Distribution	Classes	Imbalance Ratio
transfusion	748	4	4	0	178, 570	2	3.202
heart	270	13	13	0	150, 120	2	1.250
chess	3196	35	35	0	1669, 1527	2	1.093
sick	2800	27	27	0	2629, 171	2	15.374
redwinequality	691	11	11	0	681, 10	2	68.100
ar1	121	29	9	20	112, 9	2	12.444
ar3	63	29	9	20	55, 8	2	6.875
ar4	107	29	9	20	87, 20	2	4.350
ar5	36	29	9	20	28, 8	2	3.500
ar6	101	29	9	20	86, 15	2	5.733
cm1_req	89	8	0	8	69, 20	2	3.450
jEdit_4.0_4.2	274	8	0	8	140, 134	2	1.045
jEdit_4.2_4.3	369	8	0	8	165, 204	2	1.236
kc2	522	21	7	14	415, 107	2	3.879
kc3	458	39	14	25	415, 43	2	9.651
mc2	161	39	15	24	109, 52	2	2.096
mw1	403	37	13	24	372, 31	2	12.000
pc1_req	320	8	0	8	213, 107	2	1.991
banknote-authentication	1372	4	4	0	762, 610	2	1.249
blood-transfusion-service-center	748	4	0	4	570, 178	2	3.202
breast_w	699	9	0	9	458, 241	2	1.900
climate-model-simulation-crashes	540	20	17	3	46, 494	2	10.739
diabetes	768	8	2	6	268, 500	2	1.866
ilpd	583	9	5	4	416, 167	2	2.491
monks-problems1	556	6	0	6	272, 284	2	1.044
monks-problems2	601	6	0	6	300, 301	2	1.003
monks-problems3	554	6	0	6	275, 279	2	1.015
mozilla4	15,545	4	0	4	10,437, 5108	2	2.043
pc1	1109	21	17	4	77, 1032	2	13.403
pc3	1563	37	14	23	160, 1403	2	8.769
pc4	1458	37	12	25	178, 1280	2	7.191
phoneme	5404	5	5	0	3818, 1586	2	2.407