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Table 5 Comparative Experimental Results of the best subsets produced by EPSO and BPSO

From: An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

Data Method EPSO BPSO
  Evaluation Best #Ave S.D Best #Ave S.D
11_Tumors #Acc (%) 96.55 95.40 0.61 97.7 96.78 0.73
#Genes 243 237.70 9.66 230 221.30 14.48
#Time 67.21 67.05 0.22 212.44 252.05 32.87
9_Tumors #Acc (%) 76.67 75.00 1.11 85 82.67 2.25
#Genes 251 247.10 9.65 250 244.30 9.43
#Time 4.35 4.29 0.09 17.97 17.74 0.10
Brain_Tumor1 #Acc (%) 93.33 92.11 0.82 93.33 92.44 0.47
#Genes 8 7.5 2.51 217 215 7.24
#Time 14.89 14.82 0.12 24.62 24.76 0.15
Brain_Tumor2 #Acc (%) 94 92.4 1.27 92 91.40 0.97
#Genes 4 6.0 1.83 208 225.20 13.13
#Time 0.85 0.85 0.002 6 6.08 0.09
Leukemia1 #Acc (%) 100 100 0 100 98.75 0.44
#Genes 2 3.20 0.63 213.00 198.20 6.48
#Time 2.80 2.79 0.01 6.97 6.99 0.05
Leukemia2 #Acc (%) 100 100 0 100 100 0
#Genes 4 6.8 2.2 195 200.80 4.24
#Time 3.1 3.1 0.02 10.05 10.16 0.15
Lung_Cancer #Acc (%) 96.06 95.67 0.31 98.03 97.73 0.25
#Genes 7 8.3 2.11 212 212.90 9.26
#Time 123.95 124.08 0.49 145.98 145.93 1.00
SRBCT #Acc (%) 100 99.64 0.58 100 100 0
#Genes 7 14.90 13.03 191 195.30 3.23
#Time 7.51 7.51 0.03 22.75 22.63 0.22
Prostate_Tumor #Acc (%) 99.02 97.84 0.62 98.04 98.04 0.00
#Genes 5 6.6 2.17 195 199.40 3.41
#Time 4.37 4.37 0.008 22.57 22.27 0.16
DLBCL #Acc (%) 100 100 0 100 100 0
#Genes 3 4.7 0.82 193 200.90 3.78
  #Time 1.99 1.99 0.008 7.72 7.75 0.10
  1. Note: The best result of each evaluation is written in a bold style. The best method of each data set is shown in the shaded cells. The best method is selected based on the highest number of the best results for all evaluations. #Acc and S.D. denote the classification accuracy and the standard deviation, respectively, whereas #Genes and #Ave represent the number of selected genes and an average, respectively. #Time stands for running time in the hour unit.