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Table 2 Different Classifiers Results

From: Prediction of heart disease and classifiers’ sensitivity analysis

Classifier Used Accuracy % kappa RAE ROC MAE Classification time
In seconds
NaiveBayes 83.122 0.6611 39.2 0.902 0.1959 0.02
SGD 84.3902 0.6866 31.24 0.842 0.1561 0.14
SVM 84.1951 0.6825 31.63 0.84 0.158 0.19
K-NN (N = 1) 99.7073 0.9941 0.69 0.994 0.0035 0.01
Decision Table 93.6585 0.8734 56.79 0.986 0.2838 0.27
Adaboost 84.2927 0.6857 41.88 0.925 0.2093 0.06
JRip 97.2683 0.9454 6.31 0.996 0.0315 0.44
J48 98.0488 0.961 4.11 0.996 0.0205 0.27