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Table 4 Comparative experimental results of the best subsets produced by mABC and other methods for different datasets

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

Dataset name

Evaluation

EPSO

 

IBPSO

 

TS-BPSO

 

BPSO-CGA

 

Random forest

 

mABC

 

Criteria

[37]

 

[43]

 

[42]

 

[44]

 

[55]

 

[This work]

  

Best

Avg.

S.D.

 

Best

 

Best

 

Best

 

Avg.

S.D.

 

Best

Avg.

S.D.

9_Tumors

Accuracy

76.67

75.00

1.11

 

78.33

 

81.63

 

-

 

88.0

0.037

 

100

98.65

0.01

 

# Genes

251

247.10

9.65

 

1280

 

2941

 

-

 

130

-

 

30

34.73

5.64

11_Tumors

Accuracy

96.55

95.40

0.61

 

93.10

 

97.35

 

-

 

-

-

 

100

99.50

0.00

 

# Genes

243

237.70

9.66

 

2948

 

3206

 

-

 

-

-

 

42

47.27

7.79

Brain_Tumor1

Accuracy

93.33

92.11

0.82

 

94.44

 

95.89

 

91.4

 

93.6

0.007

 

100

100

0.0

 

# Genes

8

7.5

2.51

 

754

 

2913

 

456

 

86

-

 

12

16.87

2.85

Brain_Tumor2

Accuracy

94

92.4

1.27

 

94.00

 

92.65

 

-

 

-

-

 

100

100

0.0

 

# Genes

4

6.0

1.83

 

1197

 

5086

 

-

 

-

-

 

7

10.52

1.72

DLBCL

Accuracy

100

100

0

 

100

 

100

 

-

 

94.6

0.021

 

100

100

0.0

 

# Genes

3

4.7

0.82

 

1042

 

2671

 

-

 

21

-

 

3

4.05

0.78

Leukemia1

Accuracy

100

100

0

 

100

 

100

 

100

 

98.1

0.006

 

100

100

0.0

 

# Genes

2

3.20

0.63

 

1034

 

2577

 

300

 

21

-

 

4

5.67

0.73

Leukemia2

Accuracy

100

100

0

 

100

 

100

 

-

 

-

-

 

100

100

0.0

 

# Genes

4

6.8

2.2

 

1292

 

5609

 

-

 

-

-

 

4

6.29

0.98

Lung_Cancer

Accuracy

96.06

95.67

0.31

 

96.55

 

99.52

 

-

 

-

-

 

100

100

0.0

 

# Genes

7

8.3

2.11

 

1897

 

6958

 

-

 

-

-

 

14

23.31

5.14

Prostate_Tumor

Accuracy

99.02

97.84

0.62

 

92.16

 

95.45

 

93.7

 

-

-

 

100

100

0.0

 

# Genes

5

6.6

2.17

 

1294

 

5320

 

795

 

-

-

 

5

10.73

3.15

SRBCT

Accuracy

100

99.64

0.58

 

100

 

100

 

100

 

99.7

0.003

 

100

100

0.0

 

# Genes

7

14.90

13.03

 

431

 

1084

 

880

 

42

-

 

5

5.59

0.51

  1. Best results (maximum accuracy and minimum selected gene size) are highlighted using boldface font