Sparse Regression on colon-cancer
0.02CPU TimeAPG+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| APG+Sparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 0.02 | 26 | 100 | 6.47 | |
| APG+Sparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.02 | 27 | 79 | 3.092 | |
| APG+Sparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 42 | 44 | 3.131 | |
| APG+Sparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 0.03 | 39 | 169 | 10.643 | |
| APG-LL+Sparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 0.03 | 192 | 128 | 12.519 | |
| APG-LL+Sparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 0.03 | 137 | 101 | 5.062 | |
| APG-LL+Sparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.03 | 139 | 67 | 3.279 | |
| APG-LL+Sparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.03 | 123 | 63 | 3.032 | |
| APGSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.22 | 614 | 0 | 3.016 | |
| APGSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.27 | 805 | 0 | 2.836 | |
| APGSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 0.52 | 1,564 | 0 | 3.311 | |
| PG-LLSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.66 | 3,024 | 0 | 2.964 | |
| PG-LLSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 1.08 | 5,614 | 0 | 4.905 | |
| APGSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 1.78 | 3,272 | 0 | 2.994 | |
| PGSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 2.03 | 8,195 | 0 | 3.062 | |
| PGSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 2.45 | 10,000 | 0 | 3.161 | |
| PGSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 2.61 | 10,000 | 0 | 3.048 | |
| PGSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 2.71 | 10,000 | 0 | 3.277 | |
| PG-LLSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 3.52 | 14,734 | 0 | 3.016 | |
| PG-LLSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 3.87 | 13,116 | 0 | 4.51 |