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Table 6 Comparison of the classification accuracies for HBSA-SVM(Biased), HBSA-SVM(Unbiased) and HBSA-KNN methods with the top-ranked genes

From: Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification

Dataset

HBSA-SVM (Biased)

HBSA-SVM (Unbiased)

HBSA-KNN

#TG*

Acc.%

#TG*

Acc.%

#TG*

Acc.%

Leukemia

2

88.46

3

82.69

2

84.62

3

92.31

5

86.54

5

90.38

71

96.15 (H)

15

92.31 (H)

24

96.15 (H)

DLBCL

2

95.24

2

80.95

2

80.95

3

100 (H)

9

95.24 (H)

3

90.48 (H)

Prostate

1

94.12

1

91.18 (H)

2

88.24 (H)

2

97.06 (H)

4

88.24

5

85.29

SRBCT

4

75

4

70

3

75

5

95

5

90

4

95

24

100 (H)

28

100 (H)

5

100 (H)

ALL

6

97

6

96

5

94

7

96

10

97

9

96

112

100 (H)

111

99 (H)

85

100 (H)

Colon

2

75

2

65

3

70 (H)

3

80 (H)

7

70

4

80 (H)

 

4

80

15

80(H)

7

80

  1. *‘#TG’ denotes the number of top-ranked genes. Note that the accuracy labeled by ‘H’ denotes the highest accuracy and the number of the corresponding top-ranked genes denotes the minimal number with the highest accuracy.