Feature Selection on HO (Precision, Recall)
1PrecisionUnivariate
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Univariate% extraneous features=502023.11 | 1 | 1 | |
| AGL% extraneous features=502023.11 | 1 | 1 | |
| XGBoost% extraneous features=502023.11 | 1 | 1 | |
| Univariate% extraneous features=752023.11 | 1 | 1 | |
| Deep Lasso% extraneous features=502023.11 | 0.969 | 0.969 | |
| Deep Lasso% extraneous features=752023.11 | 0.956 | 0.956 | |
| AM% extraneous features=502023.11 | 0.938 | 0.938 | |
| XGBoost% extraneous features=752023.11 | 0.938 | 0.938 | |
| LassoNet% extraneous features=502023.11 | 0.931 | 0.931 | |
| LassoNet% extraneous features=752023.11 | 0.912 | 0.912 | |
| RF% extraneous features=752023.11 | 0.912 | 0.912 | |
| 1L Lasso% extraneous features=752023.11 | 0.881 | 0.881 | |
| Lasso% extraneous features=502023.11 | 0.875 | 0.875 | |
| RF% extraneous features=502023.11 | 0.875 | 0.875 | |
| AGL% extraneous features=752023.11 | 0.869 | 0.869 | |
| 1L Lasso% extraneous features=502023.11 | 0.856 | 0.856 | |
| Lasso% extraneous features=752023.11 | 0.812 | 0.812 |