Classification on HDLSS Datasets Summary
2.5Average RankDynaTab
Evaluation results
| Method | Links | |
|---|---|---|
| DynaTab2026.05 | 2.5 | |
| DynaTab2026.05 | 2.62 | |
| LSPIN2026.05 | 4.67 | |
| Lasso2026.05 | 5.12 | |
| ProtoGate2026.05 | 5.5 | |
| MLP2026.05 | 5.67 | |
| MLP2026.05 | 5.88 | |
| LGBM2026.05 | 6.33 | |
| TabNet2026.05 | 6.83 | |
| LLSPIN2026.05 | 7.33 | |
| TabR2026.05 | 7.83 | |
| TabulaRNN2026.05 | 8 | |
| GBM2026.05 | 8 | |
| XGBoost2026.05 | 8.17 | |
| LGBM2026.05 | 9 | |
| STG2026.05 | 9.17 | |
| Lasso2026.05 | 10.33 | |
| CatBoost2026.05 | 10.62 | |
| SVM2026.05 | 10.83 | |
| STG2026.05 | 11.25 | |
| Random Forest2026.05 | 11.38 | |
| TabM2026.05 | 12.5 | |
| CatBoost2026.05 | 12.67 | |
| LLSPIN2026.05 | 12.75 | |
| REAL-X2026.05 | 12.75 | |
| LSPIN2026.05 | 13 | |
| KNN2026.05 | 13.67 | |
| TabR2026.05 | 14.25 | |
| 1-D CNN2026.05 | 14.67 | |
| KNN2026.05 | 15.88 | |
| AdaBoost2026.05 | 16.12 | |
| Random Forest2026.05 | 16.17 | |
| XGBoost2026.05 | 16.88 | |
| SVM2026.05 | 17 | |
| GBM2026.05 | 17.12 | |
| Decision Tree2026.05 | 18.17 | |
| TabSeq2026.05 | 18.33 | |
| AdaBoost2026.05 | 19 | |
| INVASE2026.05 | 19.38 | |
| Naive Bayes2026.05 | 19.38 | |
| Naive Bayes2026.05 | 19.67 | |
| CategoryEmbedding2026.05 | 19.67 | |
| Decision Tree2026.05 | 21 | |
| MambaTab2026.05 | 21.12 | |
| TabSeq2026.05 | 22.75 | |
| Mambular2026.05 | 23.12 | |
| MambAttention2026.05 | 24 | |
| SAINT2026.05 | 27.5 | |
| FT-Transformer2026.05 | 27.62 | |
| TabM2026.05 | 27.62 | |
| AutoInt2026.05 | 27.75 | |
| CategoryEmbedding2026.05 | 28.12 | |
| ResNetTabular2026.05 | 30.62 | |
| 1-D CNN2026.05 | 30.75 | |
| NODE2026.05 | 31.75 | |
| TabNet2026.05 | 32.38 | |
| L2X2026.05 | 32.75 | |
| Trompt2026.05 | 34.12 | |
| DCN2026.05 | 35.12 | |
| DANets2026.05 | 35.5 | |
| TANGOS2026.05 | 36.75 | |
| DeepFM2026.05 | 36.75 | |
| ENODE2026.05 | 37.62 | |
| ModernNCA2026.05 | 38.5 | |
| TabTransformer2026.05 | 38.75 | |
| NDTF2026.05 | 39.75 |