Tabular Classification on Insurance-co (test)
0.783AUROCMambaTab-D
Evaluation results
| Method | Links | |
|---|---|---|
| MambaTab-DEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.783 | |
| TransTabEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.739 | |
| XGBoostEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.692 | |
| VIMEEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.683 | |
| TabNetEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.68 | |
| SCARFEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.68 | |
| AutoIntEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.676 | |
| TabTransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.674 | |
| DCNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.66 | |
| LREvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.655 | |
| FT-TransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.645 | |
| SNNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.643 | |
| MLPEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.626 |