Sparse Classification on duke
0.01CPUAPG+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| APG+Sparsity level (s)=m2022.11 | 0.01 | 11 | 9 | 75 | |
| APG+Sparsity level (s)=[1.1m]2022.11 | 0.01 | 11 | 9 | 75 | |
| APG+Sparsity level (s)=[1.5m]2022.11 | 0.01 | 11 | 9 | 75 | |
| APG+Sparsity level (s)=2m2022.11 | 0.01 | 12 | 11 | 75 | |
| APG-LL+Sparsity level (s)=m2022.11 | 0.02 | 23 | 9 | 75 | |
| APG-LL+Sparsity level (s)=[1.1m]2022.11 | 0.02 | 23 | 9 | 75 | |
| APG-LL+Sparsity level (s)=[1.5m]2022.11 | 0.02 | 30 | 6 | 75 | |
| APG-LL+Sparsity level (s)=2m2022.11 | 0.02 | 25 | 11 | 75 | |
| APGSparsity level (s)=m2022.11 | 0.03 | 31 | 0 | 75 | |
| APGSparsity level (s)=[1.5m]2022.11 | 0.04 | 43 | 0 | 75 | |
| APGSparsity level (s)=2m2022.11 | 0.11 | 104 | 0 | 75 | |
| APGSparsity level (s)=[1.1m]2022.11 | 0.33 | 351 | 0 | 50 | |
| PG-LLSparsity level (s)=[1.1m]2022.11 | 0.8 | 1,540 | 0 | 75 | |
| PG-LLSparsity level (s)=m2022.11 | 0.81 | 1,558 | 0 | 75 | |
| PG-LLSparsity level (s)=2m2022.11 | 0.81 | 1,416 | 0 | 75 | |
| PG-LLSparsity level (s)=[1.5m]2022.11 | 0.84 | 1,496 | 0 | 75 | |
| PGSparsity level (s)=[1.5m]2022.11 | 4.8 | 10,000 | 0 | 75 | |
| PGSparsity level (s)=[1.1m]2022.11 | 4.81 | 10,000 | 0 | 75 | |
| PGSparsity level (s)=m2022.11 | 4.82 | 10,000 | 0 | 75 | |
| PGSparsity level (s)=2m2022.11 | 4.83 | 10,000 | 0 | 75 |