Classification on Iris LDLSS (Accuracy)
97.33AccuracyTabPFN v2
Evaluation results
| Method | Links | |
|---|---|---|
| TabPFN v22026.05 | 97.33 | |
| KNN2026.05 | 97.33 | |
| TabM2026.05 | 96.67 | |
| TabulaRNN2026.05 | 96 | |
| Random Forest2026.05 | 96 | |
| Trompt2026.05 | 96 | |
| LSPIN2026.05 | 96 | |
| ResNetTabular2026.05 | 96 | |
| SVM2026.05 | 96 | |
| CatBoost2026.05 | 95.33 | |
| GBM2026.05 | 95.33 | |
| AutoInt2026.05 | 95.33 | |
| NODE2026.05 | 95.33 | |
| TabR2026.05 | 95.33 | |
| TabPFN2026.05 | 95.33 | |
| Mambular2026.05 | 95.33 | |
| MambAttention2026.05 | 95.33 | |
| Decision Tree2026.05 | 95.33 | |
| INVASE2026.05 | 95.33 | |
| FT-Transformer2026.05 | 94.67 | |
| LGBM2026.05 | 94.67 | |
| Lasso2026.05 | 94.67 | |
| Naive Bayes2026.05 | 94.67 | |
| DynaTab2026.05 | 94.07 | |
| XGBoost2026.05 | 94 | |
| LLSPIN2026.05 | 94 | |
| CategoryEmbedding2026.05 | 94 | |
| TabSeq2026.05 | 94 | |
| SAINT2026.05 | 94 | |
| 1-D CNN2026.05 | 94 | |
| AdaBoost2026.05 | 94 | |
| MLP2026.05 | 93.33 | |
| TabNet2026.05 | 93.33 | |
| TabTransformer2026.05 | 93.33 | |
| DCN2026.05 | 93.33 | |
| MambaTab2026.05 | 92.67 | |
| DANets2026.05 | 92.67 | |
| STG2026.05 | 92 | |
| REAL-X2026.05 | 92 | |
| ModernNCA2026.05 | 90.67 | |
| NDTF2026.05 | 90 | |
| ENODE2026.05 | 90 | |
| DeepFM2026.05 | 87.33 | |
| TANGOS2026.05 | 86 | |
| L2X2026.05 | 85.33 | |
| ProtoGate2026.05 | 78.67 |