Table 1.
Classification performance for each model
| Model | LOSO | |||
|---|---|---|---|---|
| Accuracya (%) | Precision (%) | Recall (%) | F1 Score (%) | |
| DC | 93.81 ± 7.98 | 93.85 ± 8.45 | 93.81 ± 8.48 | 93.8 ± 7.7 |
| PM | 81.43 ± 16.14 | 81.75 ± 8.56 | 81.43 ± 8.36 | 81.45 ± 7.12 |
| DC-PM | 95.71 ± 7.51 | 95.83 ± 6.32 | 95.71 ± 5.35 | 95.74 ± 5.19 |
| LMSO | ||||
|---|---|---|---|---|
| Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) | |
| DC | 90.95 ± 4.49 | 91.35 ± 8.77 | 90.95 ± 11.17 | 90.83 ± 8.28 |
| PM | 75.71 ± 5.89 | 75.48 ± 8.58 | 75.71 ± 14.49 | 75.28 ± 10 |
| DC-PM | 94.76 ± 1.96 | 94.84 ± 6.72 | 94.76 ± 6.34 | 94.77 ± 5.84 |
aStandard deviations of accuracies are between-subject, and between-class for other metrics