Table 3 Robust genera subset from two feature selection methods in four classifiers.

From: Establishment and evaluation of prediction model for multiple disease classification based on gut microbial data

 

Logit Boost/FS

LogitBoost/BE

LMT/FS

LMT/BE

SVM/FS

SVM/BE

KNN/FS

KNN/BE

Mean of order

PSBM3

3

2

5

3

3

2

3

3

3

Candidatus Azobacteroides

6

10

7

8

10

122

5

60

28.5

Cetobacterium

10

19

6

25

19

31

17

154

35.125

Ralstonia

46

17

93

14

27

16

45

24

35.25

Proteus

32

3

126

15

6

27

9

78

37

Flavobacterium

33

7

98

51

44

17

49

7

38.25

Moryella

8

105

1

77

7

1

103

65

45.875

Citrobacter

11

89

20

5

88

7

135

13

46

Anaerofustis

23

6

35

73

66

26

129

36

49.25

Dickeya

18

26

27

10

171

11

28

111

50.25

Owenweeksia

52

16

95

6

8

131

68

58

54.25

Salmonella

22

69

99

61

49

59

125

77

70.125

Pediococcus

99

93

46

82

67

45

145

19

74.5

Variovorax

80

127

54

79

133

79

58

57

83.375

Leuconostoc

83

112

96

63

63

91

94

88

86.25

Marvinbryantia

106

156

118

43

80

113

78

89

97.875

Novosphingobium

51

151

121

48

90

82

116

151

101.25

  1. We present 17 genera selected in combination of four classifiers and two feature selection method. Column represent “Classifier/feature selection method”. The figures in the table show the order of genera in selection steps. The lower number (figure) indicates the more importance for genera in terms of performance.
Back to article page