Classification on LUNG
98.02ACCmRMR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| mRMRRelevance Estimator=Mutual info.2026.03 | 98.02 | — | |
| KGroupsRelevance Estimator=Gini importance2026.03 | 98.01 | — | |
| KGroupsRelevance Estimator=Gini importance2026.03 | 98.01 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 97.54 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 97.54 | — | |
| KBestRelevance Estimator=Mutual info.2026.03 | 97.52 | — | |
| mRMRRelevance Estimator=F-value2026.03 | 97.52 | — | |
| KBestRelevance Estimator=Gini importance2026.03 | 97.04 | — | |
| mRMRRelevance Estimator=Gini importance2026.03 | 97.04 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 96.55 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 96.55 | — | |
| KGroupsRelevance Estimator=Gini import.2026.03 | 96.47 | — | |
| KGroupsRelevance Estimator=Gini import.2026.03 | 96.47 | — | |
| MLP2026.05 | 96.47 | — | |
| MLP2026.05 | 96.47 | — | |
| mRMRRelevance Estimator=Mutual info.2026.03 | 96.06 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 95.97 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 95.97 | — | |
| mRMRRelevance Estimator=F-value2026.03 | 95.8 | — | |
| KBestRelevance Estimator=Gini import.2026.03 | 95.72 | — | |
| mRMRRelevance Estimator=Gini import.2026.03 | 95.56 | — | |
| KBestRelevance Estimator=Mutual info.2026.03 | 94.98 | — | |
| KBestRelevance Estimator=F-value2026.03 | 94.6 | — | |
| Lasso2026.05 | 94.47 | — | |
| Lasso2026.05 | 94.47 | — | |
| All features2026.03 | 94.1 | — | |
| All feat.2026.03 | 94.1 | — | |
| UFSm=50, runs=102023.05 | 94 | — | |
| UFS2023.05 | 94 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 93.75 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 93.75 | — | |
| ProtoGate2026.05 | 93.44 | — | |
| ProtoGateSubsampling=11K2026.05 | 93.44 | — | |
| LGBM2026.05 | 93.42 | — | |
| LGBM2026.05 | 93.42 | — | |
| STG2026.05 | 93.3 | — | |
| REAL-X2026.05 | 93.27 | — | |
| RSRm=300, runs=102023.05 | 93 | — | |
| RSR2023.05 | 93 | — | |
| DynaTab2026.05 | 92.75 | — | |
| DynaTab2026.05 | 92.75 | — | |
| KBestRelevance Estimator=F-value2026.03 | 92.03 | — | |
| LSm=300, runs=102023.05 | 92 | — | |
| LS2023.05 | 92 | — | |
| Random Forest2026.05 | 91.73 | — | |
| GBM2026.05 | 91.59 | — | |
| CatBoost2026.05 | 91.57 | — | |
| INVASE2026.05 | 91.22 | — | |
| KNN2026.05 | 91.06 | — | |
| UDFSm=300, runs=102023.05 | 91 | — | |
| UDFS2023.05 | 91 | — | |
| TabulaRNN2026.05 | 90.5 | — | |
| TabulaRNN2026.05 | 90.5 | — | |
| AllFearuns=102023.05 | 90 | — | |
| AllFea2023.05 | 90 | — | |
| Mambular2026.05 | 89.9 | — | |
| MambaTab2026.05 | 87.85 | — | |
| DUFSm=150, runs=102023.05 | 87 | — | |
| WASTm=300, runs=102023.05 | 87 | — | |
| AEFSm=300, runs=102023.05 | 87 | — | |
| DUFS2023.05 | 87 | — | |
| WAST2023.05 | 87 | — | |
| AEFS2023.05 | 87 | — | |
| TabSeq2026.05 | 86.81 | — | |
| TabR2026.05 | 86.7 | — | |
| XGBoost2026.05 | 86.61 | — | |
| CAEm=100, runs=102023.05 | 86 | — | |
| CAE2023.05 | 86 | — | |
| Decision Tree2026.05 | 85.16 | — | |
| Naive Bayes2026.05 | 84.24 | — | |
| All featuresRelevance Estimator=None2026.03 | 84.02 | — | |
| All feat.2026.03 | 84.02 | — | |
| TabNet2026.05 | 80.14 | — | |
| AdaBoost2026.05 | 78.32 | — | |
| MambAttention2026.05 | 78 | — | |
| SAINT2026.05 | 78 | — | |
| LSPIN2026.05 | 76.92 | — | |
| DANets2026.05 | 76.35 | — | |
| TabM2026.05 | 74.7 | — | |
| AutoInt2026.05 | 74.7 | — | |
| ResNetTabular2026.05 | 74.7 | — | |
| CategoryEmbedding2026.05 | 72.95 | — | |
| SVM2026.05 | 72.77 | — | |
| LLSPIN2026.05 | 70.1 | — | |
| FT-Transformer2026.05 | 67.3 | — | |
| 1-D CNN2026.05 | 63.5 | — | |
| NDTF2026.05 | 63.5 | — | |
| Trompt2026.05 | 61.55 | — | |
| DeepFM2026.05 | 59.4 | — | |
| DCN2026.05 | 57.25 | — | |
| NODE2026.05 | 55.1 | — | |
| ENODE2026.05 | 50.45 | — | |
| L2X2026.05 | 50.02 | — | |
| TANGOS2026.05 | 48.1 | — | |
| ModernNCA2026.05 | 43.1 | — | |
| TabTransformer2026.05 | 21.01 | — |