OpenML-CC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tabular Classification | OpenML-CC18 8C labeling budget | Accuracy74 | 7 | |
| Tabular Classification | OpenML-CC18 1C labeling budget | Accuracy59 | 7 | |
| Tabular Classification | OpenML-CC18 Eval-only v2 (test) | Accuracy (analcat-auth)100 | 7 | |
| Tabular Classification | OpenML-CC18 subset (25 datasets) | Acc (beta=0.0)84.6 | 3 | |
| Sequential fine-tuning | OpenML-CC18 Sequential | Retention Rate97.8 | 2 |
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