Regression on CH with second-order extra features
-0.422Negative RMSEDeep Lasso
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Deep Lassopercent of extra features=50%, downstream model=FT-Transformer2023.11 | -0.422 | 2.41 | |
| Univariatepercent of extra features=50%, downstream model=MLP2023.11 | -0.439 | 6.58 | |
| Deep Lassopercent of extra features=50%, downstream model=MLP2023.11 | -0.441 | 2.67 | |
| Nonepercent of extra features=50%, downstream model=MLP2023.11 | -0.443 | 4.5 | |
| Deep Lassopercent of extra features=75%, downstream model=MLP2023.11 | -0.448 | 2.17 |