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Results mean±standard deviation of classification the various types of myocardial infarction and healthy electrocardiogram signals, before applying the optimization process on support vector machine kernel parameters
| Method SVM | Sensitivity | Specificity | Accuracy |
|---|---|---|---|
| Linear | 95.24±0.01 | 100±0 | 66.67±0.23 |
| RBF | 92.31±0.01 | 95.65±0.1 | 56.67±0.06 |
| Polynomial | 90±0.32 | 87.91±0.31 | 55.33±0.14 |
SVM – Support vector machine; RBF – Radial basis function
