Binary Classification on income IC 1995 (test)
0.925AUROCXGBoost
Evaluation results
| Method | Links | |
|---|---|---|
| XGBoostlearning_setting=supervised learning2022.05 | 0.925 | |
| XGBoost2024.01 | 0.925 | |
| MambaTab-Thyperparameters=tuned2024.01 | 0.92 | |
| TransTablearning_setting=supervised learning2022.05 | 0.919 | |
| TransTab2024.01 | 0.919 | |
| AutoIntlearning_setting=supervised learning2022.05 | 0.916 | |
| AutoInt2024.01 | 0.916 | |
| DCNlearning_setting=supervised learning2022.05 | 0.915 | |
| FT-Translearning_setting=supervised learning2022.05 | 0.915 | |
| DCN2024.01 | 0.915 | |
| FT-Trans2024.01 | 0.915 | |
| VIMElearning_setting=supervised learning2022.05 | 0.908 | |
| VIME2024.01 | 0.908 | |
| MambaTab-DEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.908 | |
| MambaTab-Dhyperparameters=default2024.01 | 0.906 | |
| SCARFlearning_setting=supervised learning2022.05 | 0.905 | |
| SCARF2024.01 | 0.905 | |
| XGBoostEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.898 | |
| TransTabEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.897 | |
| TabNetlearning_setting=supervised learning2022.05 | 0.896 | |
| TabNet2024.01 | 0.896 | |
| MLPlearning_setting=supervised learning2022.05 | 0.893 | |
| MLP2024.01 | 0.893 | |
| SNNlearning_setting=supervised learning2022.05 | 0.892 | |
| SNN2024.01 | 0.892 | |
| DCNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.891 | |
| FT-TransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.889 | |
| AutoIntEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.887 | |
| SCARFEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.887 | |
| MLPEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.885 | |
| TabTranslearning_setting=supervised learning2022.05 | 0.882 | |
| TabTrans2024.01 | 0.882 | |
| TabNetEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.882 | |
| SNNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.881 | |
| VIMEEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.881 | |
| LRlearning_setting=supervised learning2022.05 | 0.86 | |
| LR2024.01 | 0.86 | |
| TabTransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.828 | |
| LREvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.825 |