Skip to main content

Table 3 Size of the selected feature subsets when BER is minimal with top-100 features

From: AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity

Classifier

Algorithm

Data sets

 
  

COL

LYM

ALL

CNS

LEK

CAR

BR5

CLL

MLL

LIM

OVA

GLI

BRC

NB

AVC

10

40

12

34

39

21

72

12

9

18

17

22

3

 

FAST

12

25

6

6

4

33

63

58

28

32

78

12

7

 

ARCO

78

39

25

42

3

84

68

4

47

98

4

69

83

 

ReliefF

6

32

8

8

37

41

82

86

22

76

66

18

7

SVM

AVC

7

39

93

5

4

78

72

34

99

62

42

10

3

 

FAST

52

83

89

84

4

99

79

96

91

98

98

39

79

 

ARCO

35

100

30

42

5

92

52

86

76

74

56

72

19

 

ReliefF

23

87

33

34

97

81

57

91

55

66

23

13

19

1-NN

AVC

64

85

29

14

4

80

72

8

27

52

11

18

16

 

FAST

26

82

100

28

4

99

62

98

36

99

98

50

6

 

ARCO

28

79

77

66

5

83

55

40

48

63

92

98

99

 

ReliefF

95

80

15

41

70

99

97

64

60

77

26

72

31

C4.5

AVC

27

46

7

53

3

57

65

44

1

13

14

24

3

 

FAST

9

20

26

47

3

69

23

26

4

18

89

28

4

 

ARCO

15

34

72

18

3

76

93

23

1

75

17

55

17

 

ReliefF

21

66

40

3

19

45

30

40

29

81

34

31

3