Table 3 Performance comparison of classifiers on Dataset A using 10-fold cross-validation. Alg., Acc., Sens., Spec. and AUC stand for algorithm, accuracy, sensitivity, specificity, and area under the ROC curve, respectively
From: Quality estimation of the electrocardiogram using cross-correlation among leads
Alg. | Acc. (%) | Sens. (%) | Spec. (%) | AUC |
|---|---|---|---|---|
CART | 92.1 | 84.4 | 94.3 | 0.913 |
C4.5 | 91.7 | 77.8 | 95.7 | 0.925 |
RIPPER | 92.7 | 83.1 | 95.5 | 0.910 |
SVM | 92.5 | 70.7 | 99.0 | 0.902 |