Classification on Prostate_GE
98AccuracymRMR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| mRMRRelevance Estimator=Mutual info.2026.03 | 98 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 97.05 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 97.05 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 97.05 | — | |
| mRMRRelevance Estimator=F-value2026.03 | 97.05 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 97.05 | — | |
| KBestRelevance Estimator=Gini importance2026.03 | 97 | — | |
| KGroupsRelevance Estimator=Gini importance2026.03 | 96.1 | — | |
| KGroupsRelevance Estimator=Gini importance2026.03 | 96.1 | — | |
| KBestRelevance Estimator=Mutual info.2026.03 | 96.05 | — | |
| mRMRRelevance Estimator=Gini importance2026.03 | 96.05 | — | |
| KBestRelevance Estimator=F-value2026.03 | 95.1 | — | |
| LGBM2026.05 | 91.38 | — | |
| LGBM2026.05 | 91.38 | — | |
| Lasso2026.05 | 91.18 | — | |
| Lasso2026.05 | 91.18 | — | |
| DynaTab2026.05 | 90.91 | — | |
| DynaTab2026.05 | 90.91 | — | |
| ProtoGate2026.05 | 90.58 | — | |
| ProtoGateSubsampling=11K2026.05 | 90.58 | — | |
| TabulaRNN2026.05 | 90.5 | — | |
| TabulaRNN2026.05 | 90.5 | — | |
| Random Forest2026.05 | 90.38 | — | |
| CatBoost2026.05 | 90.24 | — | |
| All features2026.03 | 89.68 | — | |
| All feat.2026.03 | 89.68 | — | |
| STG2026.05 | 89.38 | — | |
| MLP2026.05 | 89.2 | — | |
| MLP2026.05 | 89.2 | — | |
| AdaBoost2026.05 | 89.19 | — | |
| LLSPIN2026.05 | 88.71 | — | |
| INVASE2026.05 | 88 | — | |
| LSPIN2026.05 | 87.75 | — | |
| REAL-X2026.05 | 86.75 | — | |
| SVM2026.05 | 85.75 | — | |
| DCN2026.05 | 85.02 | — | |
| FT-Transformer2026.05 | 85 | — | |
| TabR2026.05 | 84.5 | — | |
| AutoInt2026.05 | 83.47 | — | |
| XGBoost2026.05 | 82.55 | — | |
| Decision Tree2026.05 | 82.33 | — | |
| GBM2026.05 | 82.24 | — | |
| Mambular2026.05 | 81.12 | — | |
| KNN2026.05 | 78.78 | — | |
| DANets2026.05 | 78.58 | — | |
| TabM2026.05 | 75.03 | — | |
| ModernNCA2026.05 | 71.95 | — | |
| 1-D CNN2026.05 | 70 | — | |
| Trompt2026.05 | 69.08 | — | |
| TabNet2026.05 | 66.55 | — | |
| TANGOS2026.05 | 65.47 | — | |
| TabSeq2026.05 | 65.24 | — | |
| MambAttention2026.05 | 61.99 | — | |
| SAINT2026.05 | 61.99 | — | |
| L2X2026.05 | 61.78 | — | |
| Naive Bayes2026.05 | 60.86 | — | |
| MambaTab2026.05 | 58.52 | — | |
| NODE2026.05 | 58.52 | — | |
| NDTF2026.05 | 54.98 | — | |
| ENODE2026.05 | 52.05 | — | |
| TabTransformer2026.05 | 51.01 | — | |
| ResNetTabular2026.05 | 48.43 | — | |
| CategoryEmbedding2026.05 | 45.01 | — | |
| DeepFM2026.05 | 45.01 | — |