Classification on Poker Hand
80.53AccuracyCatBoost
Evaluation results
| Method | Links | |
|---|---|---|
| CatBoost2026.05 | 80.53 | |
| XGBoost2026.05 | 71.98 | |
| MLP2026.05 | 63.44 | |
| GBM2026.05 | 60.39 | |
| Random Forest2026.05 | 60.23 | |
| TabTransformer2026.05 | 55.68 | |
| SVM2026.05 | 55.14 | |
| TabR2026.05 | 54.8 | |
| TabSeq2026.05 | 54.74 | |
| TabNet2026.05 | 54.62 | |
| FT-Transformer2026.05 | 53.5 | |
| DynaTab2026.05 | 52.91 | |
| LGBM2026.05 | 52.51 | |
| TabM2026.05 | 52.1 | |
| SAINT2026.05 | 52.1 | |
| KNN2026.05 | 50.81 | |
| CategoryEmbedding2026.05 | 50.75 | |
| Trompt2026.05 | 50.75 | |
| Mambular2026.05 | 50.75 | |
| Lasso2026.05 | 49.96 | |
| ResNetTabular2026.05 | 49.3 | |
| Decision Tree2026.05 | 48.99 | |
| MambaTab2026.05 | 48 | |
| DCN2026.05 | 48 | |
| AdaBoost2026.05 | 47.1 | |
| Naive Bayes2026.05 | 46.92 | |
| ModernNCA2026.05 | 45.1 | |
| AutoInt2026.05 | 43.6 | |
| 1-D CNN2026.05 | 43.6 | |
| TANGOS2026.05 | 42.1 | |
| NODE2026.05 | 40.55 | |
| MambAttention2026.05 | 40.55 | |
| TabulaRNN2026.05 | 39 | |
| LLSPIN2026.05 | 37.4 | |
| DeepFM2026.05 | 35.7 | |
| LSPIN2026.05 | 35.7 | |
| NDTF2026.05 | 34 | |
| STG2026.05 | 32.3 | |
| REAL-X2026.05 | 31.5 | |
| L2X2026.05 | 31.1 | |
| DANets2026.05 | 30.5 | |
| ENODE2026.05 | 30.01 | |
| ProtoGate2026.05 | 30 | |
| INVASE2026.05 | 26.35 |