Feature Selection on HE random extraneous features (Precision, Recall)
1PrecisionAM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AM% extraneous features=502023.11 | 1 | 1 | |
| RF% extraneous features=502023.11 | 1 | 1 | |
| XGBoost% extraneous features=502023.11 | 1 | 1 | |
| Deep Lasso% extraneous features=502023.11 | 1 | 1 | |
| RF% extraneous features=752023.11 | 1 | 1 | |
| XGBoost% extraneous features=752023.11 | 1 | 1 | |
| Deep Lasso% extraneous features=752023.11 | 1 | 1 | |
| AGL% extraneous features=502023.11 | 0.989 | 0.989 | |
| LassoNet% extraneous features=502023.11 | 0.985 | 0.985 | |
| Univariate% extraneous features=502023.11 | 0.963 | 0.963 | |
| Lasso% extraneous features=502023.11 | 0.963 | 0.963 | |
| Univariate% extraneous features=752023.11 | 0.963 | 0.963 | |
| Lasso% extraneous features=752023.11 | 0.963 | 0.963 | |
| AGL% extraneous features=752023.11 | 0.952 | 0.952 | |
| 1L Lasso% extraneous features=752023.11 | 0.948 | 0.948 | |
| 1L Lasso% extraneous features=502023.11 | 0.937 | 0.937 | |
| LassoNet% extraneous features=752023.11 | 0.919 | 0.919 |