Classification on Pima Indian LDLSS
77.86AccuracyFT-Transformer
Evaluation results
| Method | Links | |
|---|---|---|
| FT-Transformer2026.05 | 77.86 | |
| CatBoost2026.05 | 77.6 | |
| Lasso2026.05 | 77.47 | |
| TabSeq2026.05 | 77.34 | |
| TabPFN2026.05 | 77.21 | |
| MambaTab2026.05 | 77.21 | |
| AdaBoost2026.05 | 77.21 | |
| REAL-X2026.05 | 76.95 | |
| MLP2026.05 | 76.82 | |
| NODE2026.05 | 76.56 | |
| STG2026.05 | 76.56 | |
| 1-D CNN2026.05 | 76.43 | |
| TabPFN v22026.05 | 76.17 | |
| GBM2026.05 | 76.17 | |
| LLSPIN2026.05 | 76.17 | |
| SVM2026.05 | 76.17 | |
| AutoInt2026.05 | 76.04 | |
| CategoryEmbedding2026.05 | 76.04 | |
| DANets2026.05 | 75.91 | |
| DynaTab2026.05 | 75.84 | |
| TabulaRNN2026.05 | 75.78 | |
| Trompt2026.05 | 75.78 | |
| SAINT2026.05 | 75.78 | |
| TabR2026.05 | 75.65 | |
| Mambular2026.05 | 75.65 | |
| TabNet2026.05 | 75.65 | |
| Naive Bayes2026.05 | 75.52 | |
| TANGOS2026.05 | 75.52 | |
| LGBM2026.05 | 75.51 | |
| ENODE2026.05 | 75.39 | |
| ResNetTabular2026.05 | 75.12 | |
| Random Forest2026.05 | 74.63 | |
| LSPIN2026.05 | 74.61 | |
| INVASE2026.05 | 74.61 | |
| DCN2026.05 | 74.6 | |
| ModernNCA2026.05 | 74.34 | |
| MambAttention2026.05 | 74.08 | |
| TabTransformer2026.05 | 74.08 | |
| NDTF2026.05 | 73.95 | |
| TabM2026.05 | 73.94 | |
| XGBoost2026.05 | 73.17 | |
| KNN2026.05 | 72.78 | |
| L2X2026.05 | 71.74 | |
| DeepFM2026.05 | 71.48 | |
| Decision Tree2026.05 | 69.52 | |
| ProtoGate2026.05 | 58.45 |