Feature Selection on YE with random extraneous features (Precision/Recall)
1PrecisionDeep Lasso
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Deep Lasso% extraneous features=502023.11 | 1 | 1 | |
| Deep Lasso% extraneous features=752023.11 | 1 | 1 | |
| 1L Lasso% extraneous features=752023.11 | 0.996 | 0.996 | |
| 1L Lasso% extraneous features=502023.11 | 0.988 | 0.988 | |
| AGL% extraneous features=502023.11 | 0.987 | 0.987 | |
| AGL% extraneous features=752023.11 | 0.987 | 0.987 | |
| XGBoost% extraneous features=752023.11 | 0.981 | 0.981 | |
| XGBoost% extraneous features=502023.11 | 0.977 | 0.977 | |
| Univariate% extraneous features=502023.11 | 0.967 | 0.967 | |
| Univariate% extraneous features=752023.11 | 0.967 | 0.967 | |
| AM% extraneous features=502023.11 | 0.953 | 0.953 | |
| Lasso% extraneous features=502023.11 | 0.922 | 0.922 | |
| LassoNet% extraneous features=502023.11 | 0.908 | 0.908 | |
| Lasso% extraneous features=752023.11 | 0.878 | 0.878 | |
| RF% extraneous features=752023.11 | 0.836 | 0.836 | |
| RF% extraneous features=502023.11 | 0.809 | 0.809 | |
| LassoNet% extraneous features=752023.11 | 0.77 | 0.77 |