Feature Selection on Self-Constructed Dataset with multicollinearity Features
3Time (m/s)Boruta-Permut
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Boruta-Permut2026.05 | 3 | 0.0071 | 10 | |
| Boruta-TreeImp2026.05 | 4 | 0.0096 | 9 | |
| Boruta2026.05 | 21 | 1.73 | 10 |
| Method | Links | |||
|---|---|---|---|---|
| Boruta-Permut2026.05 | 3 | 0.0071 | 10 | |
| Boruta-TreeImp2026.05 | 4 | 0.0096 | 9 | |
| Boruta2026.05 | 21 | 1.73 | 10 |