Classification on GLI_85
98.82AccuracyKGroups
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KGroupsRelevance Estimator=Gini importance2026.03 | 98.82 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 98.82 | — | |
| KGroupsRelevance Estimator=Gini importance2026.03 | 98.82 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 98.82 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 97.65 | — | |
| mRMRRelevance Estimator=Mutual info.2026.03 | 97.65 | — | |
| mRMRRelevance Estimator=F-value2026.03 | 97.65 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 97.65 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 96.86 | — | |
| KGroupsRelevance Estimator=Mutual info.2026.03 | 96.86 | — | |
| KBestRelevance Estimator=Mutual info.2026.03 | 96.47 | — | |
| mRMRRelevance Estimator=Gini importance2026.03 | 96.47 | — | |
| KGroupsRelevance Estimator=Gini import.2026.03 | 96.27 | — | |
| KGroupsRelevance Estimator=Gini import.2026.03 | 96.27 | — | |
| mRMRRelevance Estimator=F-value2026.03 | 95.69 | — | |
| KBestRelevance Estimator=Gini importance2026.03 | 95.29 | — | |
| KBestRelevance Estimator=F-value2026.03 | 95.29 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 95.1 | — | |
| KGroupsRelevance Estimator=F-value2026.03 | 95.1 | — | |
| KBestRelevance Estimator=Gini import.2026.03 | 94.9 | — | |
| KBestRelevance Estimator=Mutual info.2026.03 | 94.9 | — | |
| mRMRRelevance Estimator=Mutual info.2026.03 | 94.71 | — | |
| mRMRRelevance Estimator=Gini import.2026.03 | 94.7 | — | |
| GOTabPFNEvaluation Protocol=5 x 5 CV2026.06 | 93.82 | 1 | |
| KBestRelevance Estimator=F-value2026.03 | 93.72 | — | |
| TANDEMEvaluation Protocol=5 x 5 CV2026.06 | 91.53 | 3.63 | |
| TTABLESEvaluation Protocol=5 x 5 CV2026.06 | 89.66 | 8.38 | |
| TabPFN-WEvaluation Protocol=5 x 5 CV2026.06 | 88.47 | 3.75 | |
| TABDPTEvaluation Protocol=5 x 5 CV2026.06 | 87.76 | 4.88 | |
| TABICLEvaluation Protocol=5 x 5 CV2026.06 | 87.06 | 7.63 | |
| BETAEvaluation Protocol=5 x 5 CV2026.06 | 86.21 | 8.13 | |
| DynaTab2026.05 | 85.96 | — | |
| DynaTab2026.05 | 85.96 | — | |
| Lasso2026.05 | 85.88 | — | |
| LGBM2026.05 | 85.88 | — | |
| Random Forest2026.05 | 85.88 | — | |
| AdaBoost2026.05 | 85.88 | — | |
| SVM2026.05 | 85.88 | — | |
| Lasso2026.05 | 85.88 | — | |
| LGBM2026.05 | 85.88 | — | |
| LASSOEvaluation Protocol=5 x 5 CV2026.06 | 85.88 | 11.13 | |
| MLP2026.05 | 85.41 | — | |
| MLP2026.05 | 85.41 | — | |
| MLPEvaluation Protocol=5 x 5 CV2026.06 | 85.41 | 11.63 | |
| CatBoost2026.05 | 84.71 | — | |
| All features2026.03 | 84.62 | — | |
| All feat.2026.03 | 84.62 | — | |
| LLSPIN2026.05 | 84.42 | — | |
| KNN2026.05 | 83.53 | — | |
| LSPIN2026.05 | 83.48 | — | |
| REAL-X2026.05 | 83.24 | — | |
| ProtoGate2026.05 | 82.48 | — | |
| STG2026.05 | 82.48 | — | |
| ProtoGateSubsampling=11K2026.05 | 82.48 | — | |
| PROTOGATEEvaluation Protocol=5 x 5 CV2026.06 | 82.48 | 12.06 | |
| Naive Bayes2026.05 | 82.35 | — | |
| TabR2026.05 | 81.42 | — | |
| MambaTab2026.05 | 80.16 | — | |
| INVASE2026.05 | 80.14 | — | |
| GBM2026.05 | 80 | — | |
| TabulaRNN2026.05 | 79.68 | — | |
| TabulaRNN2026.05 | 79.68 | — | |
| Decision Tree2026.05 | 78.82 | — | |
| SAINT2026.05 | 78.56 | — | |
| All featuresRelevance Estimator=None2026.03 | 77.63 | — | |
| All feat.2026.03 | 77.63 | — | |
| XGBoost2026.05 | 77.06 | — | |
| MambAttention2026.05 | 76.18 | — | |
| TabSeq2026.05 | 75.29 | — | |
| CategoryEmbedding2026.05 | 69.14 | — | |
| ResNetTabular2026.05 | 66.67 | — | |
| NODE2026.05 | 64.92 | — | |
| TANGOS2026.05 | 64.84 | — | |
| TabM2026.05 | 60.46 | — | |
| ENODE2026.05 | 58.92 | — | |
| 1-D CNN2026.05 | 56.92 | — | |
| L2X2026.05 | 56.92 | — | |
| TabNet2026.05 | 55.29 | — | |
| FT-Transformer2026.05 | 52.46 | — | |
| AutoInt2026.05 | 48.44 | — | |
| TabTransformer2026.05 | 47.77 | — | |
| Mambular2026.05 | 46.92 | — | |
| Trompt2026.05 | 43.96 | — | |
| DeepFM2026.05 | 43.28 | — | |
| DCN2026.05 | 42.86 | — | |
| DANets2026.05 | 35.9 | — | |
| ModernNCA2026.05 | 27.68 | — | |
| NDTF2026.05 | 26.14 | — |