Tabular Classification on Credit-approval (test)
96.1AUROCMambaTab-D
Evaluation Results
| Method | Links | |
|---|---|---|
| MambaTab-DEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 96.1 | |
| TransTabEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 87.9 | |
| DCNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 83.5 | |
| AutoIntEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 82.5 | |
| FT-TransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 82.4 | |
| XGBoostEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 81.7 | |
| LREvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 77.3 | |
| SCARFEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 75.3 | |
| SNNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 73.8 | |
| TabTransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 73.2 | |
| VIMEEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 69.7 | |
| TabNetEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 68.9 | |
| MLPEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 67.6 |