Feature Selection on CO with random extraneous features (Precision, Recall)
100PrecisionUnivariate
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Univariate% extraneous features=502023.11 | 100 | 100 | |
| LassoNet% extraneous features=502023.11 | 100 | 100 | |
| Univariate% extraneous features=752023.11 | 100 | 100 | |
| Lasso% extraneous features=502023.11 | 98.9 | 98.9 | |
| LassoNet% extraneous features=752023.11 | 97.6 | 97.6 | |
| Deep Lasso% extraneous features=502023.11 | 97.4 | 97.4 | |
| Lasso% extraneous features=752023.11 | 95.7 | 95.7 | |
| Deep Lasso% extraneous features=752023.11 | 95.7 | 95.7 | |
| 1L Lasso% extraneous features=502023.11 | 95.4 | 95.4 | |
| XGBoost% extraneous features=752023.11 | 94.6 | 94.6 | |
| XGBoost% extraneous features=502023.11 | 94.4 | 94.4 | |
| RF% extraneous features=752023.11 | 94.3 | 94.3 | |
| 1L Lasso% extraneous features=752023.11 | 90.9 | 90.9 | |
| RF% extraneous features=502023.11 | 89.3 | 89.3 | |
| AGL% extraneous features=502023.11 | 79.4 | 79.4 | |
| AGL% extraneous features=752023.11 | 74.3 | 74.3 | |
| AM% extraneous features=502023.11 | 71.5 | 71.5 |