OpenML
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Openml_586 | 1-RAE0.1109 | 24 | |
| Regression | OpenML 618 (5-fold cross-validation) | 1-RAE0.0521 | 16 | |
| Regression | OpenML 586 (5-fold cross-validation) | 1-RAE0.1109 | 16 | |
| Imputation | OpenML MCAR, Missing Probability 0.4 (test) | MAD0 | 13 | |
| Conformal Routing Safety Control | OpenML general-purpose (test) | Violation Exceedance Count0 | 12 | |
| Regression | OpenML 361249 | Coverage96.4 | 12 | |
| Regression | OpenML 361247 | Coverage98 | 12 | |
| Regression | OpenML 361243 | Coverage97.9 | 12 | |
| Regression | OpenML 361235 | Coverage97.2 | 12 | |
| Dataset Performance-based Similarity Estimation | OpenML datasets | NDCG@10.8811 | 9 | |
| Dataset Retrieval | OpenML ST=0.9 (unseen datasets) | Hit@179.73 | 9 | |
| Dataset Retrieval | OpenML ST=0.8 (unseen datasets) | Hit@185.81 | 9 | |
| Regression | OpenML 620 | 1-RAE0.425 | 9 | |
| Regression | OpenML 618 | 1-RAE0.372 | 9 | |
| Regression | OpenML 616 | 1-RAE0.385 | 9 | |
| Regression | OpenML 607 | 1-RAE0.376 | 9 | |
| Regression | OpenML 589 | 1-RAE0.331 | 9 | |
| CASH | OpenML 15 datasets aggregate | Average Rank1.73 | 9 | |
| Regression | OpenML-616 | MSE11.7 | 8 | |
| Regression | OpenML-637 | MSE14.82 | 8 | |
| Regression | OpenML-589 | MSE7.18 | 8 | |
| Regression | OpenML-586 | MSE10.37 | 8 | |
| Pipeline Performance Estimation (Precision Target) | OpenML (unseen) | MSE0.0133 | 8 | |
| Pipeline Performance Estimation (Accuracy Target) | OpenML (unseen) | MSE0.0081 | 8 | |
| Multi-Class Classification | OpenML ID 694 | Mean ROC-AUC OvO100 | 7 |
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