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Table 7 Experimental results of mABC using default, optimized (first), second and third parameter settings for different datasets

From: Gene selection for cancer classification with the help of bees

Dataset name Evaluation Default   PS1   PS2   PS3
  Criteria Best Avg. S. D. Worst   Best Avg. S. D. Worst   Best Avg. S. D. Worst   Best Avg. S. D. Worst
9_Tumors Accuracy 90.0 84.60 0.02 80.0   100 98.65 0.01 96.67   100 99.11 0.01 98.33   100 99.63 0.01 98.33
  # Genes 41 50.03 52.21 37   30 34.73 5.64 35   21 24 4 26   21 25.5 3.75 24
11_Tumors Accuracy 94.25 93.08 0.01 91.38   100 99.50 0.0 98.85   100 99.45 0.0 98.85   100 99.7 0.0 99.43
  # Genes 33 37.15 5.08 23   42 47.27 7.79 47   30 30.75 4.15 30   32 33.86 3.44 34
Brain_Tumor1 Accuracy 100 95.85 0.02 93.33   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 13 16.53 5.78 16   12 16.87 2.85 20   10 11.2 1.08 13   8 10.58 1.17 13
Brain_Tumor2 Accuracy 100 98.09 0.01 96   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 11 17.6 5.82 16   7 10.52 1.72 15   6 7.47 1.19 9   6 7.35 1.0 9
DLBCL Accuracy 100 100 0 100   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 4 7.67 1.77 11   3 4.05 0.78 5   13 3.6 0.51 4   3 3.33 0.49 4
Leukemia1 Accuracy 100 100 0 100   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 5 8.39 1.94 12   4 5.67 0.73 7   4 4.4 0.51 5   3 3.87 0.35 4
Leukemia2 Accuracy 100 100 0 100   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 6 10.64 2.57 15   4 6.29 0.98 8   3 3.87 0.74 5   3 4.06 0.64 5
Lung_Cancer Accuracy 99.01 98.17 0.01 97.04   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 27 24.59 6.94 16   14 23.31 5.14 32   9 11.43 1.34 14   9 12.44 1.5 14
Prostate_Tumor Accuracy 100 96.95 0.01 95.10   100 100 0.0 100   100 100 0.0 100   100 100 0.0 100
  # Genes 11 15.33 6.35 19   5 10.73 3.15 16   5 6.59 0.91 8   5 6.5 0.82 8
SRBCT Accuracy 100 100 0 100   100 100 0.0 100   100  
textbf100 0.0 100   100 100 0.0 100  
  # Genes 6 7.47 0.94 9   5 5.59 0.51 6   4 4.27 0.46 5   4 4 0.0 4
  1. Best results (maximum accuracy and minimum selected gene size) are highlighted using boldface font