Feature Selection on OT with random extraneous features (Precision, Recall)
100PrecisionUnivariate
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Univariate% extraneous features=502023.11 | 100 | 100 | |
| Deep Lasso% extraneous features=502023.11 | 100 | 100 | |
| Univariate% extraneous features=752023.11 | 100 | 100 | |
| RF% extraneous features=752023.11 | 99.5 | 99.5 | |
| XGBoost% extraneous features=502023.11 | 99.2 | 99.2 | |
| Deep Lasso% extraneous features=752023.11 | 99.2 | 99.2 | |
| RF% extraneous features=502023.11 | 98.5 | 98.5 | |
| XGBoost% extraneous features=752023.11 | 97.4 | 97.4 | |
| Lasso% extraneous features=502023.11 | 96.9 | 96.9 | |
| Lasso% extraneous features=752023.11 | 96.3 | 96.3 | |
| 1L Lasso% extraneous features=752023.11 | 93.3 | 93.3 | |
| AM% extraneous features=502023.11 | 92 | 92 | |
| 1L Lasso% extraneous features=502023.11 | 91.5 | 91.5 | |
| AGL% extraneous features=502023.11 | 87.5 | 87.5 | |
| AGL% extraneous features=752023.11 | 70.4 | 70.4 | |
| LassoNet% extraneous features=502023.11 | 69.2 | 69.2 | |
| LassoNet% extraneous features=752023.11 | 52.4 | 52.4 |