| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | shuttle | AUC1 | 61 | |
| kNN Classification | Shuttle | Accuracy99.4 | 30 | |
| Tabular Anomaly Detection | Shuttle | AUC-ROC1 | 23 | |
| Constrained Clustering | shuttle | Success Rate100 | 18 | |
| Clustering | shuttle | CPU Time0.68 | 18 | |
| Clustering | shuttle | Clustering Inertia293,144.76 | 18 | |
| Outlier Detection | shuttle (historical) | AUROC99.83 | 17 | |
| Outlier Detection | shuttle Group II | AUROC (%)99.51 | 14 | |
| Anomaly Detection | shuttle In-Domain | F1 Score98.55 | 10 | |
| Streaming Class-Incremental Learning | Shuttle | Accuracy (EN)91.6 | 10 | |
| Multi-class Classification | Shuttle | Average G-mean0.824 | 10 | |
| Multiclass Classification | shuttle | Weighted F11 | 9 | |
| Multiclass imbalanced classification | shuttle | AUC1 | 9 | |
| Multiclass Imbalanced Classification | shuttle | G-Mean1 | 9 | |
| Drift Detection | Shuttle Real | Accuracy99.44 | 8 | |
| Classification | shuttle | Balanced Accuracy0.9995 | 8 | |
| Classification | Shuttle unseen future domain | Error Rate0.24 | 7 | |
| Object Detection | Shuttle | mAP47.6 | 6 | |
| Contextual Bandit | Shuttle OpenML | Final Cumulative Regret106.9 | 6 | |
| Anomaly Detection | Shuttle Stationary | AUC0.996 | 6 | |
| Outlier Detection | shuttle | AUPRC0.978 | 5 | |
| Dimension Reduction | Shuttle 58000x9 | Runtime (s)94 | 5 | |
| Mixture Proportion Estimation | Shuttle | MAE0.053 | 4 | |
| Random Forest Compilation | shuttle | Accuracy99.82 | 2 | |
| Clustering | shuttle | Metric- | 0 |