TABLE 4.
Classification accuracies with different rhythms between Young_GAD and Old_GAD.
| Features | SVM (%) (mean ± sd) | RF (%) (mean ± sd) | KNN (%) (mean ± sd) |
| All features | 99.67 ± 0.15 | 98.26 ± 0.36 | 98.34 ± 0.32 |
| Theta features | 89.79 ± 1.03 | 82.35 ± 0.74 | 83.97 ± 0.64 |
| Alpha1 features | 86.79 ± 0.71 | 81.23 ± 1.02 | 82.35 ± 0.64 |
| Alpha2 features | 92.62 ± 0.35 | 86.32 ± 0.55 | 87.59 ± 0.81 |
| Beta features | 99.46 ± 0.12 | 95.82 ± 0.26 | 97.98 ± 0.17 |