Feature Selection on Aggregated AL, CH, CO, EY, GE, HE, HI, HO, JA, MI, OT, YE
2.17RankXGBoost
Evaluation Results
| Method | Links | |
|---|---|---|
| XGBoost% extraneous features=502023.11 | 2.17 | |
| Deep Lasso% extraneous features=752023.11 | 2.17 | |
| Deep Lasso% extraneous features=502023.11 | 2.67 | |
| Univariate% extraneous features=752023.11 | 2.67 | |
| XGBoost% extraneous features=752023.11 | 2.67 | |
| Univariate% extraneous features=502023.11 | 2.75 | |
| RF% extraneous features=752023.11 | 3.17 | |
| Lasso% extraneous features=752023.11 | 3.75 | |
| RF% extraneous features=502023.11 | 4.25 | |
| AGL% extraneous features=502023.11 | 4.5 | |
| AM% extraneous features=502023.11 | 4.58 | |
| 1L Lasso% extraneous features=502023.11 | 4.67 | |
| AGL% extraneous features=752023.11 | 4.75 | |
| Lasso% extraneous features=502023.11 | 5 | |
| LassoNet% extraneous features=502023.11 | 5 | |
| LassoNet% extraneous features=752023.11 | 5.08 | |
| 1L Lasso% extraneous features=752023.11 | 5.17 |