Classification on MiniBooNE 30K subsamples
94.21AccuracyXGBoost
Evaluation results
| Method | Links | |
|---|---|---|
| XGBoost2026.05 | 94.21 | |
| CatBoost2026.05 | 94.19 | |
| LGBM2026.05 | 93.93 | |
| Random Forest2026.05 | 93.37 | |
| MLP2026.05 | 93.34 | |
| GBM2026.05 | 92.74 | |
| DynaTab2026.05 | 91.23 | |
| AdaBoost2026.05 | 90.68 | |
| TabR2026.05 | 90.5 | |
| TabSeq2026.05 | 90.28 | |
| NODE2026.05 | 90.1 | |
| CategoryEmbedding2026.05 | 89.75 | |
| AutoInt2026.05 | 89.2 | |
| SVM2026.05 | 88.95 | |
| Decision Tree2026.05 | 88.93 | |
| KNN2026.05 | 88.83 | |
| FT-Transformer2026.05 | 88.6 | |
| 1-D CNN2026.05 | 88.6 | |
| TabM2026.05 | 87.9 | |
| TabTransformer2026.05 | 86.48 | |
| Lasso2026.05 | 85.63 | |
| TabNet2026.05 | 85.32 | |
| ResNetTabular2026.05 | 84.5 | |
| SAINT2026.05 | 83.3 | |
| DeepFM2026.05 | 82.1 | |
| DANets2026.05 | 82.1 | |
| Trompt2026.05 | 80.75 | |
| DCN2026.05 | 80.75 | |
| LLSPIN2026.05 | 80.75 | |
| ENODE2026.05 | 80.75 | |
| Mambular2026.05 | 79.2 | |
| NDTF2026.05 | 77.6 | |
| LSPIN2026.05 | 77.6 | |
| TANGOS2026.05 | 75.9 | |
| STG2026.05 | 75.9 | |
| MambaTab2026.05 | 72.25 | |
| ModernNCA2026.05 | 70.3 | |
| INVASE2026.05 | 66.1 | |
| MambAttention2026.05 | 61.5 | |
| TabulaRNN2026.05 | 56.4 | |
| L2X2026.05 | 56.4 | |
| REAL-X2026.05 | 53.7 | |
| ProtoGate2026.05 | 47.75 | |
| Naive Bayes2026.05 | 28.34 |