Classification on Covertype 30K subsamples
89.29AccuracyRandom Forest
Evaluation results
| Method | Links | |
|---|---|---|
| Random Forest2026.05 | 89.29 | |
| CatBoost2026.05 | 87.72 | |
| XGBoost2026.05 | 85.47 | |
| KNN2026.05 | 85.15 | |
| LGBM2026.05 | 84.94 | |
| Decision Tree2026.05 | 84.64 | |
| MLP2026.05 | 83.88 | |
| TabTransformer2026.05 | 82.46 | |
| TabNet2026.05 | 81.86 | |
| TabR2026.05 | 81.85 | |
| NODE2026.05 | 80.9 | |
| TabSeq2026.05 | 79.93 | |
| GBM2026.05 | 77.15 | |
| SVM2026.05 | 76.51 | |
| Lasso2026.05 | 72.49 | |
| CategoryEmbedding2026.05 | 69.5 | |
| Mambular2026.05 | 69.5 | |
| DynaTab2026.05 | 68.8 | |
| TabM2026.05 | 68.8 | |
| MambaTab2026.05 | 68.1 | |
| Trompt2026.05 | 67.95 | |
| 1-D CNN2026.05 | 67.6 | |
| NDTF2026.05 | 67.1 | |
| FT-Transformer2026.05 | 66.4 | |
| MambAttention2026.05 | 65.9 | |
| SAINT2026.05 | 65.1 | |
| ResNetTabular2026.05 | 64.55 | |
| TabulaRNN2026.05 | 64.55 | |
| DeepFM2026.05 | 62.2 | |
| STG2026.05 | 62 | |
| ModernNCA2026.05 | 61.2 | |
| AdaBoost2026.05 | 61.07 | |
| AutoInt2026.05 | 60.65 | |
| DANets2026.05 | 60.45 | |
| REAL-X2026.05 | 60.45 | |
| ENODE2026.05 | 60.1 | |
| L2X2026.05 | 60.1 | |
| TANGOS2026.05 | 57.25 | |
| INVASE2026.05 | 55.4 | |
| DCN2026.05 | 53.45 | |
| LLSPIN2026.05 | 51.35 | |
| ProtoGate2026.05 | 46.7 | |
| LSPIN2026.05 | 44.1 | |
| Naive Bayes2026.05 | 9.27 |