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 | ||||