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Table 3 Comparing the performance of the classifiers in each scenario

From: Development of glaucoma predictive model and risk factors assessment based on supervised models

Model

%Acc (Mean ± std)

%Spe(Mean ± std)

%Sen (Mean ± std)

%Sen (CI 95 %)

%F_score (Mean ± std)

Scenario0_5fold

DT

96.89 ± 0.45

98.35 ± 0.45

21.84 ± 9.32

(20.33, 23.35)

20.87 ± 8.20

SVM

98.08 ± 0.07

99.99 ± 0.04

00 ± 00

(00, 00)

00 ± 00

KNN

97.07 ± 0.34

98.91 ± 0.35

2.30 ± 3.46

(1.74, 2.86)

2.80 ± 4.23

RF

98.09 ± 0.05

100 ± 00

0.04 ± 0.48

(00, 0.12)

0.07 ± 0.90

ET

98.08 ± 0.07

99.99 ± 0.04

0.19 ± 1.04

(00, 00)

0.36 ± 1.95

Scenario0_10fold

DT

96.90 ± 00.71

98.31 ± 00.68

24.86 ± 13.89

(23.28, 26.44)

23.24 ± 12.41

SVM

98.06 ± 00.00

99.98 ± 00.06

00 ± 00

(00, 00)

00 ± 00

KNN

97.04 ± 00.53

98.82 ± 0.53

02.25 ± 04.83

(1.70, 2.80)

2.66 ± 5.76

RF

98.09 ± 0.10

100 ± 00

0.04 ± 0.64

(0.00, 0.11)

0.07 ± 1.15

ET

98.08 ± 0.13

99.98 ± 0.06

0.27 ± 1.74

(0.07, 0.47)

0.48 ± 3.12

Scenario1_5fold

DT

96.89 ± 0.48

98.35 ± 00

21.57 ± 9.53

(20.02, 23.11)

20.74 ± 8.28

SVM

97.61 ± 0.31

99.16 ± 0.33

17.94 ± 8.33

(16.59, 19.29)

21.75 ± 8.72

KNN

94.60 ± 0.61

96.23 ± 0.61

10.97 ± 7.23

(9.80, 12.14)

7.15 ± 4.72

RF

98.08 ± 0.06

99.99 ± 0.04

00 ± 00

(00, 00)

00 ± 00

ET

98.09 ± 0.06

100 ± 0.00

00 ± 00

(00, 00)

00 ± 00

Scenario1_10fold

DT

96.81 ± 0.67

98.27 ± 0.64

21.82 ± 13.3

(20.31, 23.33)

20.39 ± 11.99

SVM

97.65 ± 0.47

99.21 ± 0.43

17.61 ± 12.1

(16.23, 18.99)

21.48 ± 13.61

KNN

94.60 ± 0.90

96.23 ± 0.91

10.99 ± 10.07

(9.84, 12.14)

7.13 ± 6.48

RF

98.08 ± 0.12

99.99 ± 0.05

0.08 ± 0.96

(0.00, 0.19)

0.14 ± 1.72

ET

98.09 ± 0.10

100 ± 00

00 ± 00

(00, 00)

00 ± 00

Scenari2_5fold

DT

87.40 ± 1.49

87.65 ± 1.58

74.41 ± 9.25

(72.91, 75.91)

18.47 ± 2.27

SVM

83.52 ± 1.75

83.38 ± 1.79

65.35 ± 9.86

(63.75, 66.94)

13.22 ± 2.16

KNN

80.94 ± 1.59

81.80 ± 1.63

36.26 ± 10.05

(34.64, 37.89)

6.77 ± 1.81

RF

88.90 ± 1.08

89.24 ± 1.13

71.39 ± 8.96

(69.93, 72.84)

19.75 ± 2.42

ET

92.75 ± 0.91

93.49 ± 0.91

54.66 ± 10.67

(52.94, 56.39)

22.43 ± 4.41

Scenario2_10fold

DT

87.61 ± 1.67

87.88 ± 1.72

73.80 ± 14.38

(72.16, 75.44)

18.61 ± 3.70

SVM

83.69 ± 1.80

84.02 ± 1.83

66.71 ± 15.36

(64.96, 68.46)

13.55 ± 3.16

KNN

81.00 ± 1.87

81.84 ± 1.91

37.69 ± 15.55

(35.90, 39.44)

7.02 ± 2.88

RF

88.87 ±1.48

89.10 ± 1.51

72.35 ± 13.67

(70.80, 73.91)

19.87 ± 4.00

ET

92.68 ± 1.16

93.40 ± 1.15

55.55 ± 16.60

(53.66, 57.44)

22.54 ± 6.68

  1. Acc: Accuracy; Spe: Specificity; Sen: Sensitivity; CI: Confidence Interval