Classification on SEM OpenML-CC18 (test)
0.6111AccuracySeBA
Evaluation results
| Method | Links | |
|---|---|---|
| SeBASetting=1-shot, Classifier=Class prototypes2026.05 | 0.6111 | |
| STUNTSetting=1-shot2026.05 | 0.5591 | |
| VIMESetting=1-shot2026.05 | 0.4699 | |
| kNNSetting=1-shot2026.05 | 0.4435 | |
| MeanTSetting=1-shot2026.05 | 0.4356 | |
| CatBoostSetting=1-shot2026.05 | 0.4321 | |
| PseudoLSetting=1-shot2026.05 | 0.4142 | |
| SubTabSetting=1-shot2026.05 | 0.3999 | |
| D2R2-cSetting=1-shot, Variant=Inductive2026.05 | 0.3426 | |
| SAINTSetting=1-shot2026.05 | 0.3252 | |
| ScarfSetting=1-shot2026.05 | 0.2939 | |
| TabPFNSetting=1-shot2026.05 | 0.2801 | |
| T-JEPASetting=1-shot2026.05 | 0.2547 |