Table 3.

Classification Error Rate of Feature Selection Method for Gene Microarray Data

Method Dataset	RF # Error (s.e. = 0)	RF # Error (s.e. = 1)	SC.s # Error	NN.vs # Error	Pure BPSO # Error	BPSO- CGA # Error	BPSO-CGA Improved Percentage
Leukemia	0.087	0.075	0.062	0.056	0.0	0.0	5.6%
Breast 2 class	0.337	0.332	0.326	0.337	0.325	0.234	10.3%
Breast 3 class	0.346	0.364	0.401	0.424	0.379	0.279	6.7%
NCI 60	0.327	0.353	0.246	0.237	0.262	0.131	10.6%
Adenocarcinoma	0.185	0.207	0.179	0.181	0.158	0.122	5.7%
Brain	0.216	0.216	0.159	0.194	0.119	0.086	7.3%
Colon	0.159	0.177	0.122	0.158	0.161	0.036	8.6%
Lymphoma	0.047	0.042	0.033	0.04	0.0	0.0	3.3%
Prostate	0.061	0.064	0.089	0.081	0.098	0.063	−0.2%
Srbct	0.039	0.038	0.025	0.031	0.048	0.0	2.5%
Average	0.18	0.187	0.164	0.174	0.155	0.095	6%

(1) RF # Error: classification error rate of Random Forest with s.e. = 0. (2) RF # Error: classification error rate of Random Forest with s.e. = 1. (3) SC.s # Error: classification error rate of shrunken centroids with minimization of error and minimization of features if tied. (4) NN.vs # Error: classification error rate of nearest neighbor with variable selection. (5) Pure BPSO # Error: classification error rate of pure BPSO. (6) BPSO-CGA # Error: classification error rate of BPSO-CGA. (7) Improved Percentage is BPSO-CGA compared to the lowest classification error rate from the literature. Lowest classification error rates are in boldface.