2Dplanes
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Mislabel Detection | 2dplanes | AUROC0.943 | 17 | |
| Identifying mislabeled points | 2dplanes | F1 Score33 | 12 | |
| Identifying mislabeled points | 2dplanes | Precision25 | 12 | |
| Identifying mislabeled points | 2dplanes | Recall50 | 12 | |
| Classification | 2dplanes (test) | Mean Test Accuracy74.7 | 10 | |
| CASH | 2dplanes (test) | Test Error7 | 9 | |
| Point-level mislabeled data detection | 2dplanes | AUCPR78 | 7 | |
| Regression | 2dplanes Regime 2: High-Complexity | MSE0.7387 | 6 | |
| Regression | 2dplanes Regime 1: Low-Complexity | MSE0.071 | 6 | |
| Data Valuation | 2dplanes | Valuation Runtime (s)0.86 | 5 | |
| Noisy Detection | 2dplanes | AUROC0.78 | 5 | |
| Multi-Target Regression | 2Dplanes | Running Time (s)81.2263 | 5 | |
| Multi-Target Regression | 2Dplanes | Model Size (MB)19.2903 | 5 | |
| Verifiable Data Valuation | 2dplanes | Proving Time (s)21.7 | 3 | |
| Binary Classification | 2DPLANES | R500 Score22 | 3 | |
| p-robustness Estimation | 2DPLANES | R5008.4 | 3 | |
| Data Selection | 2dplanes | Accuracy82.5 | 2 | |
| Cell-level outlier detection | 2dplanes | AUC87 | 2 | |
| Data Selection | 2dplanes (test) | Accuracy74.1 | 1 |
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