| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Emotion (test) | ESPRESSO | F-score0.5833 | 5 | 4d ago | |
| EYE (test) | ESPRESSO | F-score58.21 | 5 | 4d ago | |
| USC-HAD (test) | ESPRESSO | F1 Score74.67 | 5 | 4d ago | |
| Hand Gesture (test) | ESPRESSO | F-score62.09 | 5 | 4d ago | |
| RFID (test) | F-score0.9554 | 5 | 4d ago | ||
| PAMAP (test) | F-score100 | 5 | 4d ago | ||
| WESAD (test) | ESPRESSO | F-score64.1 | 4 | 4d ago | |
| Symbols 4 segments | Proposed method | Precision99.826 | 3 | 4d ago | |
| SwedishLeaf 4 segments | Proposed method | Precision99.81 | 3 | 4d ago | |
| ProximalPhalanxTW 4 segments | ClaSP + KMeans | Precision99.133 | 3 | 4d ago | |
| Mallat 4 segments | ClaSP + KMeans | Precision99.376 | 3 | 4d ago | |
| InsectWingbeatSound 4 segments | Proposed method | Precision99.616 | 3 | 4d ago | |
| FiftyWords 4 segments | seq2point | Precision99.677 | 3 | 4d ago | |
| FaceFour 4 segments | Proposed method | Precision99.862 | 3 | 4d ago | |
| Car 4 segments | Proposed method | Precision99.547 | 3 | 4d ago | |
| Adiac 4 segments | Proposed method | Precision100 | 3 | 4d ago | |
| dancing bees K=2 | RED-SDS | Accuracy91 | 3 | 4d ago | |
| dancing bees | RED-SDS | Accuracy73 | 3 | 4d ago | |
| 3 mode system | RED-SDS | Accuracy98 | 3 | 4d ago | |
| bouncing ball | SNLDS | Accuracy0.97 | 3 | 4d ago |
