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ResearchFormerly WizWand

Regression on E2006-log1p

0.139MSEAPG-LL+
0.129360.194430.25950.32457Nov 4, 2022
Updated 8mo ago

Evaluation results

MethodLinks
APG-LL+CPU=262.5, GE=601, CG=812022.110.139
APG+CPU=138.8, GE=252, CG=1222022.110.141
PG-LLCPU=1996.5, GE=4532, CG=02022.110.141
APGCPU=559.9, GE=1084, CG=02022.110.142
PGSparsity level (s)=m, CPU=*7039.7, GE=10000, CG=02022.110.155
PGSparsity level (s)=[1.1m], CPU=*7172.7, GE=10000, CG=02022.110.155
PGCPU=4162.7, GE=10000, CG=02022.110.16
APGSparsity level (s)=m, CPU=4588.4, GE=5819, CG=02022.110.207
APGSparsity level (s)=[1.1m], CPU=5011.5, GE=6275, CG=02022.110.213
PG-LLSparsity level (s)=m, CPU=2261.4, GE=3046, CG=02022.110.238
PG-LLSparsity level (s)=[1.1m], CPU=2292.0, GE=3040, CG=02022.110.238
APG-LL+Sparsity level (s)=[1.1m], CPU=1282.3, GE=1751, CG=1112022.110.34
APG+Sparsity level (s)=m, CPU=1050.0, GE=1362, CG=1692022.110.344
APG+Sparsity level (s)=[1.1m], CPU=1320.0, GE=1696, CG=1722022.110.375
APG-LL+Sparsity level (s)=m, CPU=1220.1, GE=1725, CG=1712022.110.38