Tabular Classification on Credit-g (test)
78.7AUROCMambaTab-D
Evaluation results
| Method | Links | |
|---|---|---|
| MambaTab-DEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 78.7 | |
| TransTabEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 74.1 | |
| DCNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 67.4 | |
| AutoIntEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 67.1 | |
| LREvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 67 | |
| FT-TransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 66.2 | |
| TabTransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 65.3 | |
| SCARFEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 65.1 | |
| VIMEEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 62.1 | |
| XGBoostEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 60.8 | |
| MLPEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 58.6 | |
| SNNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 58.3 | |
| TabNetEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 57.3 |