Clinical trial outcome prediction on N00041119 (set1)
0.653AUROCTransTab
Evaluation Results
| Method | Links | |
|---|---|---|
| TransTabLearning Strategy=Transfer learning2022.05 | 0.653 | |
| MLPLearning Strategy=Transfer learning2022.05 | 0.639 | |
| XGBoostLearning Strategy=Transfer learning2022.05 | 0.638 | |
| DCNLearning Strategy=Transfer learning2022.05 | 0.636 | |
| SCARFLearning Strategy=Transfer learning2022.05 | 0.635 | |
| AutoIntLearning Strategy=Transfer learning2022.05 | 0.629 | |
| SNNLearning Strategy=Transfer learning2022.05 | 0.627 | |
| FT-TransLearning Strategy=Transfer learning2022.05 | 0.627 | |
| LRLearning Strategy=Transfer learning2022.05 | 0.625 | |
| TabTransLearning Strategy=Transfer learning2022.05 | 0.616 | |
| VIMELearning Strategy=Transfer learning2022.05 | 0.603 | |
| TabNetLearning Strategy=Transfer learning2022.05 | 0.564 |