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Table 1 The percentage of accuracy for each model with different criterion for different isoforms of α-NKA in vertebrates

From: Bioinformatics approaches for classification and investigation of the evolution of the Na/K-ATPase alpha-subunit

Tree model

Decision tree

Random Forest

Criterion

Gain ratio

Information gain

Gini index

Accuracy

Gain ratio

Information gain

Gini index

Accuracy

FCDS

50.00

99.57

98.71

98.28

95.69

97.84

96.98

97.41

Chi square

50.00

98.71

98.28

98.28

98.28

99.57

97.84

97.41

Info gain

99.14

98.71

97.41

97.84

98.71

98.71

99.14

98.71

Deviation

93.10

97.84

96.55

96.12

94.83

94.83

93.97

93.1

Gini index

99.14

98.28

97.41

97.84

99.14

99.14

98.71

98.71

Info gain ratio

50.00

99.14

98.28

97.41

98.28

98.28

98.71

97.84

PCA

50.00

98.71

98.71

98.71

94.40

97.41

95.26

96.12

Relief

98.28

97.84

97.84

97.84

96.12

96.98

96.55

95.26

Rule

50.00

98.28

98.28

98.28

98.28

98.28

97.41

96.12

Uncertainty

99.14

98.71

98.28

96.98

98.28

98.71

98.71

98.71

SVM

98.28

98.28

98.28

98.28

98.71

97.84

96.98

96.55

Tree model

Decision Stumpt

Random Tree

Criterion

Gain ratio

Information gain

Gini index

Accuracy

Gain ratio

Information gain

Gini index

Accuracy

FCDS

50.00

73.28

71.98

72.41

72.41

86.21

89.22

50.43

Chi square

50.00

71.98

71.98

71.98

75.86

91.81

91.81

74.57

Info gain

49.57

73.28

71.98

72.41

81.47

90.52

90.52

82.33

Deviation

50.00

50.00

65.95

49.14

40.09

88.36

88.79

45.69

Gini index

49.57

73.28

71.98

72.41

92.67

92.67

93.10

74.57

Info gain ratio

50.00

73.28

71.98

72.41

49.57

78.88

91.81

49.57

PCA

50.00

70.69

70.69

70.69

57.33

66.81

70.26

51.72

Relief

72.41

72.41

72.41

65.95

89.66

78.02

82.76

83.62

Rule

50.00

70.69

70.69

70.69

58.05

63.36

85.78

51.29

Uncertainty

49.57

73.28

71.98

72.41

97.83

95.26

95.26

93.10

SVM

73.28

73.28

71.98

72.41

84.91

88.36

83.62

85.34