Feature Selection on MI with random extraneous features (Precision, Recall)
0.993PrecisionXGBoost
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| XGBoost% extraneous features=752023.11 | 0.993 | 0.993 | |
| Univariate% extraneous features=752023.11 | 0.987 | 0.987 | |
| Univariate% extraneous features=502023.11 | 0.986 | 0.986 | |
| XGBoost% extraneous features=502023.11 | 0.956 | 0.956 | |
| Deep Lasso% extraneous features=502023.11 | 0.95 | 0.95 | |
| Deep Lasso% extraneous features=752023.11 | 0.946 | 0.946 | |
| 1L Lasso% extraneous features=502023.11 | 0.882 | 0.882 | |
| AGL% extraneous features=502023.11 | 0.87 | 0.87 | |
| AGL% extraneous features=752023.11 | 0.775 | 0.775 | |
| 1L Lasso% extraneous features=752023.11 | 0.721 | 0.721 | |
| RF% extraneous features=752023.11 | 0.664 | 0.664 | |
| AM% extraneous features=502023.11 | 0.646 | 0.646 | |
| Lasso% extraneous features=502023.11 | 0.588 | 0.588 | |
| LassoNet% extraneous features=502023.11 | 0.582 | 0.582 | |
| RF% extraneous features=502023.11 | 0.553 | 0.553 | |
| Lasso% extraneous features=752023.11 | 0.401 | 0.401 | |
| LassoNet% extraneous features=752023.11 | 0.331 | 0.331 |