Trajectory Classification on Foxes Dataset
53.69Weighted F1Uncertainty-Based Selection
Evaluation results
| Method | Links | |
|---|---|---|
| Uncertainty-Based SelectionML Model=MLP, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 53.69 | |
| RandomML Model=XGBoost, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 53.49 | |
| Uncertainty-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 52.01 | |
| Representativeness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 51.74 | |
| Representativeness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 51.35 | |
| Outlierness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 51.03 | |
| BaselineML Model=XGBoost2026.06 | 50.94 | |
| Uncertainty-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 50.6 | |
| Outlierness-Based SelectionML Model=MLP, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 50.54 | |
| Outlierness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 49.6 | |
| Representativeness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 49.07 | |
| Diversity Maximization SelectionML Model=XGBoost, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 48.83 | |
| Representativeness-Based SelectionML Model=MLP, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 48.19 | |
| RandomML Model=MLP, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 47.73 | |
| RandomML Model=RandomForest, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 47.69 | |
| RandomML Model=LogisticReg, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 47.59 | |
| Outlierness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 47.44 | |
| Uncertainty-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 47.08 | |
| Diversity Maximization SelectionML Model=LogisticReg, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 46.83 | |
| BaselineML Model=MLP2026.06 | 46.78 | |
| Diversity Maximization SelectionML Model=RandomForest, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 45.11 | |
| BaselineML Model=RandomForest2026.06 | 43.75 | |
| BaselineML Model=LogisticReg2026.06 | 42.25 | |
| Diversity Maximization SelectionML Model=MLP, Selection Proportion (Sel)=40%, Number of Augmentations (Augs)=5, Point modification proportion (Pts)=10%2026.06 | 41.64 |