Time Series Classification on WISDM (test)
89.32AccuracyQFeat+HLogit-ET
Evaluation Results
| Method | Links | |
|---|---|---|
| QFeat+HLogit-ETmeta-learner=ExtraTrees, stacking=asymmetric2025.12 | 89.32 | |
| DualOOF-ETmeta-learner=ExtraTrees, stacking=symmetric2025.12 | 89.3 | |
| Simplified CAWPEstrategy=weighted averaging2025.12 | 88.97 | |
| Quant2025.12 | 86.98 | |
| Best Base2025.12 | 86.98 | |
| Hydra2025.12 | 80.99 |