Classification on australian
92.51RecallOriginal
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OriginalResult of train=Linear SVM2026.03 | 92.51 | — | |
| FARNem-F(#)Result of train=Linear SVM2026.03 | 92.51 | — | |
| CfsSubsetEval-F(#)Result of train=Linear SVM2026.03 | 92.51 | — | |
| RSFSAID-F(#)Result of train=Linear SVM2026.03 | 92.51 | — | |
| WARA-F(#)Result of train=Linear SVM2026.03 | 92.18 | — | |
| FSbuHD-F(#)Result of train=Linear SVM2026.03 | 92.18 | — | |
| FSbuHD-F(#)Result of train=Complex Tree2026.03 | 88.93 | — | |
| CfsSubsetEval-F(#)Result of train=KNN2026.03 | 85.99 | — | |
| WARA-F(#)Result of train=KNN2026.03 | 82.74 | — | |
| FSbuHD-F(#)Result of train=KNN2026.03 | 82.41 | — | |
| RSFSAID-F(#)Result of train=Complex Tree2026.03 | 82.41 | — | |
| RSFSAID-F(#)Result of train=KNN2026.03 | 80.78 | — | |
| WARA-F(#)Result of train=Complex Tree2026.03 | 80.78 | — | |
| OriginalResult of train=Complex Tree2026.03 | 79.8 | — | |
| FARNem-F(#)Result of train=Complex Tree2026.03 | 79.8 | — | |
| OriginalResult of train=KNN2026.03 | 79.48 | — | |
| FARNem-F(#)Result of train=KNN2026.03 | 79.48 | — | |
| CfsSubsetEval-F(#)Result of train=Complex Tree2026.03 | 78.83 | — | |
| ASK-GBDTHPO=SMAC, Library=Auto-sklearn2021.06 | — | 88.589 | |
| AutoGluonStacking=true2021.06 | — | 88.248 | |
| MLP2021.06 | — | 86.268 | |
| MLP+CRegularization=Cocktails2021.06 | — | 87.088 | |
| MLP+DRegularization=Dropout2021.06 | — | 86.268 | |
| NODE2021.06 | — | 83.468 | |
| TabNet2021.06 | — | 85.278 | |
| XGBoostHPO=BOHB2021.06 | — | 89.717 |