Classification on Fatigue Detection Dataset (LOSO-CV)
72.1AccuracyNeSy
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| NeSy2026.03 | 72.1 | 12.3 | 66.4 | |
| No LogicAblation setting=No Logic2026.03 | 72 | 12.1 | 66.4 | |
| SVM-RBFTuning strategy=Tuned Baselines, Evaluation protocol=nested CV2026.03 | 69.4 | 13.5 | 63.2 | |
| Extra TreesTuning strategy=Tuned Baselines, Evaluation protocol=nested CV2026.03 | 68.3 | 14.3 | 61.7 | |
| Logistic RegressionTuning strategy=Tuned Baselines, Evaluation protocol=nested CV2026.03 | 67.8 | 15.1 | 60.8 | |
| SVM-RBFTuning strategy=Default Baselines2026.03 | 67.6 | 16.4 | 60 | |
| Random ForestTuning strategy=Tuned Baselines, Evaluation protocol=nested CV2026.03 | 66.6 | 12.3 | 60.9 | |
| Random ForestTuning strategy=Default Baselines2026.03 | 64.7 | 13.6 | 58.4 |