A Hybrid Feature Selection Method Based on Rough Conditional Mutual Information and Naive Bayesian Classifier

Table 1

Experimental data description.

Number	Datasets	Instances	Features	Classes
1	Arrhythmia	452	279	16
2	Hepatitis	155	19	2
3	Ionosphere	351	34	2
4	Segment	2310	19	7
5	Sonar	208	60	2
6	Soybean	683	35	19
7	Vote	435	16	2
8	WDBC	569	16	2
9	Wine	178	12	3
10	Zoo	101	16	7