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Table 9 The APM for different classifier methods

From: Application of pattern recognition tools for classifying acute coronary syndrome: an integrated medical modeling

Classifier

Actual class

Predicted class

STEMI

NSTEMI

UA

Others

ANFIS

STEMI

88.72 ± 4.82

8.14 ± 4.15

1.57 ± 1.80

1.57 ± 1.85

NSTEMI

31.21 ± 9.05

40.04 ± 9.19

23.33 ± 7.33

5.42 ± 4.53

UA

2.72 ± 1.91

17.43 ± 6.01

78.02 ± 5.93

1.84 ± 1.91

Others

5.79 ± 9.30

22.69 ±16.86

67.22 ±17.83

4.30 ± 6.71

7-nn

STEMI

94.24 ± 3.22

4.20 ± 2.84

1.56 ± 1.52

0.00 ± 0.00

NSTEMI

31.07 ± 7.64

47.14 ± 8.72

21.78 ± 7.41

0.02 ± 0.22

UA

2.05 ± 1.32

3.64 ± 1.84

94.20 ± 2.23

0.11 ± 0.33

Others

7.44 ± 7.79

7.28 ± 7.77

85.23 ± 10.31

0.05 ± 0.80

Native Bayes

STEMI

83.22 ± 4.78

2.59 ± 1.96

11.99 ± 3.94

2.19 ± 2.59

NSTEMI

20.06 ± 6.32

47.59 ± 7.40

28.98 ± 7.35

3.36 ± 2.96

UA

0.04 ± 0.20

7.16 ± 6.58

86.17 ± 7.23

6.64 ± 4.15

Others

0.84 ± 2.88

7.85 ±10.09

80.99 ±12.58

10.32 ± 8.85

ID3

STEMI

84.55 ± 5.81

13.3 ± 5.61

1.92 ± 1.88

0.23 ± 0.73

NSTEMI

26.59 ± 7.58

46.05 ± 9.00

25.09 ± 7.91

2.28 ± 2.99

UA

0.94 ± 0.94

6.05 ± 2.84

88.08 ± 3.76

4.93 ± 2.64

Others

3.09 ± 5.56

12.41 ± 10.70

78.63 ±13.60

5.87 ± 8.03

Bagging-ID3

STEMI

91.77 ± 3.94

6.54 ± 3.51

1.65 ± 1.73

0.03 ± 0.23

NSTEMI

30.59 ± 7.41

46.93 ± 7.29

22.32 ± 6.85

0.16 ± 0.72

UA

1.13 ± 0.85

3.70 ± 1.83

94.07 ± 2.36

1.09 ± 1.05

Others

3.21 ± 4.87

9.84 ± 8.05

85.00 ± 9.50

1.95 ± 4.30

RBF (7 neurons)

STEMI

84.99± 4.98

1.76 ± 1.81

13.18 ± 4.74

0.07 ± 0.37

NSTEMI

30.67±17.98

34.88 ±17.88

33.98 ±10.00

0.47 ± 1.31

UA

2.34 ± 2.34

2.18 ± 1.73

95.41 ± 2.35

0.07 ± 0.27

Others

5.40± 8.81

8.37 ± 9.10

84.88 ±12.10

1.34 ± 3.81

MLP (9 neurons)

STEMI

93.78 ± 5.05

2.67 ± 2.72

3.38 ± 4.07

0.17 ± 0.68

NSTEMI

29.93 ±10.41

48.33 ±10.21

21.43 ± 9.20

0.31 ± 1.14

UA

0.73 ± 1.26

2.98 ± 2.11

96.21 ± 2.55

0.08 ± 0.34

Others

3.07 ± 6.56

9.76 ± 12.30

82.54 ±15.10

4.62 ± 9.64