List your company
ResearchFormerly WizWand

Sparse Logistic Regression on ARCENE (test)

0Logistic LossGraSP (L2 + debiased)
-39.48227.01493.5759.99Mar 25, 2012
Updated 4mo ago

Evaluation results

MethodLinks
GraSP (L2 + debiased)s=252012.030
GraSP (L2 + debiased)s=202012.030
GraSP (debiased)s=252012.030
GraSP (L2 + debiased)s=152012.030
GraSP (debiased)s=202012.030
Logit-OMPs=102012.030
Logit-OMPs=152012.030
Logit-OMPs=202012.030
Logit-OMPs=252012.030
GraSP (debiased)s=152012.030
Logit-OMPs=52012.030.223
L1 Regularizations=252012.030.418
L1 Regularizations=202012.030.452
GraSP (L2 + debiased)s=102012.030.453
L1 Regularizations=152012.030.486
Elastic Nets=252012.030.496
L1 Regularizations=102012.030.51
Elastic Nets=202012.030.519
GraSP (L2 + debiased)s=52012.030.524
Elastic Nets=152012.030.529
GraSP (debiased)s=102012.030.543
L1 Regularizations=52012.030.559
GraSP (debiased)s=52012.030.575
Elastic Nets=102012.030.598
Elastic Nets=52012.030.643
GraSP (L2)s=152012.035.94
GraSP (L2)s=202012.038.82
GraSP (L2)s=52012.0320.2
GraSP (L2)s=102012.0337.1
GraSP (L2)s=252012.0344.6
GraSPs=52012.0358.9
GraSPs=202012.03121
GraSPs=102012.03317
GraSPs=152012.03338
GraSPs=252012.03987