Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data

Table 1

Description of the real-world datasets sorted by the number of features and grouped into two groups, microarray data and real-world datasets, accordingly.

Dataset	No. of features	No. of training	No. of tests	No. of classes
Colon	2,000	62	—	2
Srbct	2,308	63	—	4
Leukemia	3,051	38	—	2
Lymphoma	4,026	62	—	3
breast.2.class	4,869	78	—	2
breast.3.class	4,869	96	—	3
nci	5,244	61	—	8
Brain	5,597	42	—	5
Prostate	6,033	102	—	2
adenocarcinoma	9,868	76	—	2
Fbis	2,000	1,711	752	17
La2s	12,432	1,855	845	6
La1s	13,195	1,963	887	6