Regression on E2006-log1p
0.139MSEAPG-LL+
Evaluation Results
| Method | Links | |
|---|---|---|
| APG-LL+CPU=262.5, GE=601, CG=812022.11 | 0.139 | |
| APG+CPU=138.8, GE=252, CG=1222022.11 | 0.141 | |
| PG-LLCPU=1996.5, GE=4532, CG=02022.11 | 0.141 | |
| APGCPU=559.9, GE=1084, CG=02022.11 | 0.142 | |
| PGSparsity level (s)=m, CPU=*7039.7, GE=10000, CG=02022.11 | 0.155 | |
| PGSparsity level (s)=[1.1m], CPU=*7172.7, GE=10000, CG=02022.11 | 0.155 | |
| PGCPU=4162.7, GE=10000, CG=02022.11 | 0.16 | |
| APGSparsity level (s)=m, CPU=4588.4, GE=5819, CG=02022.11 | 0.207 | |
| APGSparsity level (s)=[1.1m], CPU=5011.5, GE=6275, CG=02022.11 | 0.213 | |
| PG-LLSparsity level (s)=m, CPU=2261.4, GE=3046, CG=02022.11 | 0.238 | |
| PG-LLSparsity level (s)=[1.1m], CPU=2292.0, GE=3040, CG=02022.11 | 0.238 | |
| APG-LL+Sparsity level (s)=[1.1m], CPU=1282.3, GE=1751, CG=1112022.11 | 0.34 | |
| APG+Sparsity level (s)=m, CPU=1050.0, GE=1362, CG=1692022.11 | 0.344 | |
| APG+Sparsity level (s)=[1.1m], CPU=1320.0, GE=1696, CG=1722022.11 | 0.375 | |
| APG-LL+Sparsity level (s)=m, CPU=1220.1, GE=1725, CG=1712022.11 | 0.38 |