Table 3.
Performance evaluation for discrimination of operator experience. Values are mean and standard deviation computed over the five-fold cross-validation rounds.
| Extracted Features | Learning Method | Accuracy NQ | Accuracy XP | Overall Accuracy |
|---|---|---|---|---|
| Temporal | SVM | 0.69 ± 0.04 | 0.59 ± 0.04 | 0.66 ± 0.03 |
| Spectral | SVM | 0.70 ± 0.01 | 0.51 ± 0.05 | 0.63 ± 0.03 |
| Time-Frequency | SVM | 0.81 ± 0.04 | 0.63 ± 0.05 | 0.75 ± 0.04 |
| TEPR Sequence | 1D CNN | 0.72 ± 0.15 | 0.38 ± 0.24 | 0.62 ± 0.06 |
| Scalogram | ResNet18 2D CNN | 0.57 ± 0.16 | 0.55 ± 0.14 | 0.58 ± 0.03 |