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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