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Binary classification results (mean and standard deviation).
| Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC |
|---|---|---|---|---|
| 1D-DNN | 95±8 | 88±12 | 100±1 | 0.99±0.01 |
| 2D-CNN | 90±21 | 76±29 | 100±1 | 0.97±0.04 |
| SVM RBF (C=26 & G=21) | 88±17 | 62±24 | 100±0 | 0.86±0.35 |
| SVM RBF Default | 87±13 | 57±19 | 100±0 | 0.97±0.07 |
| SVM Linear (C=26) | 86±21 | 56±38 | 100±0 | 0.86±0.35 |
| SVM Linear Default | 85±21 | 51±36 | 100±0 | 0.99±0.01 |
(C) Cost hyperparameter of the SVM algorithm; (G) Gamma hyperparameter of the RBF kernel.
