Trajectory Classification on Starkey Dataset
92Weighted F1-scoreBaseline
Evaluation results
| Method | Links | |
|---|---|---|
| BaselineML Model=RandomForest2026.06 | 92 | |
| RandomML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 91.64 | |
| Diversity Maximization SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 91.39 | |
| Uncertainty-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 91.38 | |
| Uncertainty-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 90.75 | |
| Diversity Maximization SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 90.67 | |
| Representativeness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 90.65 | |
| Outlierness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 90.38 | |
| BaselineML Model=XGBoost2026.06 | 90.37 | |
| RandomML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 90.17 | |
| Uncertainty-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 89.53 | |
| Representativeness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 89.45 | |
| Outlierness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.96 | |
| RandomML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.84 | |
| Outlierness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.75 | |
| Diversity Maximization SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.61 | |
| Representativeness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.34 | |
| BaselineML Model=LogisticReg2026.06 | 88.32 | |
| RandomML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.3 | |
| Outlierness-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.22 | |
| Diversity Maximization SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.2 | |
| Uncertainty-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 88.13 | |
| Representativeness-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=3, Point modification proportion (Pts)=10%2026.06 | 87.66 | |
| BaselineML Model=MLP2026.06 | 86.22 |