Trajectory Classification on AIS Subset
76.98Weighted F1 ScoreOutlierness-Based Selection
Evaluation results
| Method | Links | |
|---|---|---|
| Outlierness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 76.98 | |
| Representativeness-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 76.52 | |
| RandomML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 76.5 | |
| BaselineML Model=RandomForest2026.06 | 76.48 | |
| Diversity Maximization SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 76.45 | |
| Uncertainty-Based SelectionML Model=RandomForest, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 76.33 | |
| Outlierness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 75.09 | |
| Representativeness-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 74.99 | |
| Uncertainty-Based SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 74.96 | |
| Diversity Maximization SelectionML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 74.73 | |
| RandomML Model=XGBoost, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 74.69 | |
| BaselineML Model=XGBoost2026.06 | 74.55 | |
| Uncertainty-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 69.75 | |
| Representativeness-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 69.57 | |
| Representativeness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.95 | |
| Outlierness-Based SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.77 | |
| Uncertainty-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.63 | |
| Outlierness-Based SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.61 | |
| Diversity Maximization SelectionML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.55 | |
| BaselineML Model=LogisticReg2026.06 | 68.54 | |
| RandomML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.53 | |
| Diversity Maximization SelectionML Model=MLP, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 68.26 | |
| BaselineML Model=MLP2026.06 | 68.14 | |
| RandomML Model=LogisticReg, Selection Proportion (Sel)=20%, Number of Augmentations (Augs)=1, Point modification proportion (Pts)=10%2026.06 | 67.99 |