Tabular Multi-class Classification on HardCOp4DA 38 datasets
0P-value (Permutation Test)Rand (H1)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Rand (H1)Augmentation Strategy=Saug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0 | — | |
| Ens (H2)Augmentation Strategy=Saug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0 | — | |
| Ens (H2)Augmentation Strategy=Faug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0 | — | |
| Rand (H1)Augmentation Strategy=Faug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0 | — | |
| KRep (O1)Augmentation Strategy=Saug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.001 | — | |
| XL (H3)Augmentation Strategy=Saug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.007 | — | |
| XL (H3)Augmentation Strategy=Faug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.014 | — | |
| DT+FM (O2)Augmentation Strategy=Saug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.021 | — | |
| DT+FM (O2)Augmentation Strategy=Faug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.044 | — | |
| KRep (O1)Augmentation Strategy=Faug, Base Model=TabPFN [14], Comparison Reference=VIP-COP2026.05 | 0.277 | — |