CMC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multiclass Classification | cmc | Accuracy56.6 | 41 | |
| Anomaly Detection | cmc | ROC-AUC63.26 | 14 | |
| Anomaly Detection | cmc | PR-AUC0.0698 | 14 | |
| Classification | CMC 10-shot | Accuracy46.3 | 13 | |
| Classification | CMC OpenML-CC18 (test) | Accuracy40.81 | 13 | |
| Drift Detection and Model Selection | CMC | Kappa (κ)0.4 | 10 | |
| Multi-class Classification | CMC | Accuracy60.4 | 8 | |
| Classification | cmc | ROC AUC0.709 | 6 | |
| Classification | cmc UCI KEEL (test) | Accuracy80 | 6 | |
| Missing Data Imputation | CMC | Runtime (s)0.3 | 5 | |
| 3D Multi-Object Tracking | CMC Sequence 5 | FP Count62 | 4 | |
| 3D Multi-Object Tracking | CMC Sequence 4 | False Positives0 | 4 | |
| 3D Multi-Object Tracking | CMC Sequence 3 | FP Count11 | 4 | |
| 3D Multi-Object Tracking | CMC Sequence 2 | FP Count0 | 4 | |
| 3D Multi-Object Tracking | CMC Sequence 1 | FP Count0 | 4 | |
| SHAP value approximation | cmc (test) | R^20.97 | 2 |
Showing 16 of 16 rows