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Table 4 Centers of accuracy clusters obtained from classification models induced with examples from different species, per combination of feature set and learning algorithm. Range = Maximum - minimum

From: Automatic learning of pre-miRNAs from different species

Feature set

Algorithm

c 1

c 2

c 3

c 4

c 5

c 6

Range

FS1

SVM

95

88

78

-

-

-

21

FS2

 

96

92

87

80

-

-

20

FS3

 

95

90

85

-

-

-

15

FS4

 

92

86

81

77

-

-

22

FS5

 

94

90

86

80

-

-

20

FS6

 

93

88

83

-

-

-

17

FS7

 

95

88

-

-

-

-

16

SELECT

 

96

92

86

80

-

-

20

FS1

RF

97

92

87

82

72

-

30

FS2

 

97

93

89

83

-

-

20

FS3

 

95

88

84

-

-

-

18

FS4

 

91

87

84

79

-

-

18

FS5

 

92

85

77

-

-

-

19

FS6

 

95

88

-

-

-

-

16

FS7

 

96

89

-

-

-

-

14

SELECT

J48

96

92

86

78

-

-

21

FS1

 

98

91

85

75

67

57

41

FS2

 

96

90

84

77

-

-

24

FS3

 

97

92

87

81

-

-

21

FS4

 

84

79

75

69

-

-

21

FS5

 

83

78

75

71

-

-

17

FS6

 

97

93

89

83

78

72

27

FS7

 

96

91

87

81

-

-

21

SELECT

 

97

92

86

80

74

-

26