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Table 10 Overall classification accuracy of all the methods

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

Classifiers

Accuracy (%)

Mean

Std.

GLM with normal Dist.

68.49

3.93

ANFIS

71.31

3.73

7-NN

82.92

2.45

Naive Bayes

75.51

4.14

ID3

76.33

2.83

Bagging-ID3

81.12

2.43

RBF

78.42

3.59

MLP

83.24

3.17