Tabular Classification on Blastchar (test)
0.853AUROCMambaTab-D
Evaluation results
| Method | Links | |
|---|---|---|
| MambaTab-DEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.853 | |
| TransTabEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.841 | |
| DCNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.84 | |
| FT-TransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.84 | |
| TabNetEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.837 | |
| AutoIntEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.836 | |
| SCARFEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.829 | |
| MLPEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.825 | |
| SNNEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.818 | |
| XGBoostEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.816 | |
| LREvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.806 | |
| VIMEEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.803 | |
| TabTransEvaluation Protocol=feature incremental learning, Number of runs=102024.01 | 0.792 |