Feature Selection on GE with random extraneous features (Precision, Recall)
100PrecisionRF
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RF% extraneous features=752023.11 | 100 | 100 | |
| XGBoost% extraneous features=752023.11 | 99.4 | 99.4 | |
| RF% extraneous features=502023.11 | 98.4 | 98.4 | |
| XGBoost% extraneous features=502023.11 | 89.4 | 89.4 | |
| Univariate% extraneous features=502023.11 | 84.4 | 84.4 | |
| Lasso% extraneous features=752023.11 | 76.6 | 76.6 | |
| Univariate% extraneous features=752023.11 | 68.8 | 68.8 | |
| AM% extraneous features=502023.11 | 68.4 | 68.4 | |
| LassoNet% extraneous features=502023.11 | 62.5 | 62.5 | |
| 1L Lasso% extraneous features=502023.11 | 49.7 | 49.7 | |
| Deep Lasso% extraneous features=502023.11 | 48.8 | 48.8 | |
| LassoNet% extraneous features=752023.11 | 48.8 | 48.8 | |
| AGL% extraneous features=502023.11 | 46.9 | 46.9 | |
| Lasso% extraneous features=502023.11 | 40.3 | 40.3 | |
| Deep Lasso% extraneous features=752023.11 | 26.2 | 26.2 | |
| AGL% extraneous features=752023.11 | 25.3 | 25.3 | |
| 1L Lasso% extraneous features=752023.11 | 23.1 | 23.1 |