Sparse Logistic Regression on ARCENE (test)
0Logistic LossGraSP (L2 + debiased)
Evaluation Results
| Method | Links | |
|---|---|---|
| GraSP (L2 + debiased)s=252012.03 | 0 | |
| GraSP (L2 + debiased)s=202012.03 | 0 | |
| GraSP (debiased)s=252012.03 | 0 | |
| GraSP (L2 + debiased)s=152012.03 | 0 | |
| GraSP (debiased)s=202012.03 | 0 | |
| Logit-OMPs=102012.03 | 0 | |
| Logit-OMPs=152012.03 | 0 | |
| Logit-OMPs=202012.03 | 0 | |
| Logit-OMPs=252012.03 | 0 | |
| GraSP (debiased)s=152012.03 | 0 | |
| Logit-OMPs=52012.03 | 0.223 | |
| L1 Regularizations=252012.03 | 0.418 | |
| L1 Regularizations=202012.03 | 0.452 | |
| GraSP (L2 + debiased)s=102012.03 | 0.453 | |
| L1 Regularizations=152012.03 | 0.486 | |
| Elastic Nets=252012.03 | 0.496 | |
| L1 Regularizations=102012.03 | 0.51 | |
| Elastic Nets=202012.03 | 0.519 | |
| GraSP (L2 + debiased)s=52012.03 | 0.524 | |
| Elastic Nets=152012.03 | 0.529 | |
| GraSP (debiased)s=102012.03 | 0.543 | |
| L1 Regularizations=52012.03 | 0.559 | |
| GraSP (debiased)s=52012.03 | 0.575 | |
| Elastic Nets=102012.03 | 0.598 | |
| Elastic Nets=52012.03 | 0.643 | |
| GraSP (L2)s=152012.03 | 5.94 | |
| GraSP (L2)s=202012.03 | 8.82 | |
| GraSP (L2)s=52012.03 | 20.2 | |
| GraSP (L2)s=102012.03 | 37.1 | |
| GraSP (L2)s=252012.03 | 44.6 | |
| GraSPs=52012.03 | 58.9 | |
| GraSPs=202012.03 | 121 | |
| GraSPs=102012.03 | 317 | |
| GraSPs=152012.03 | 338 | |
| GraSPs=252012.03 | 987 |