Classification on duke
0.01CPU CostAPG
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| APGSparsity Level=0.01m2022.11 | 0.01 | 11 | 0 | 0 | |
| APG+Sparsity Level=0.01m2022.11 | 0.01 | 8 | 1 | 0 | |
| APG-LL+Sparsity Level=0.01m2022.11 | 0.01 | 15 | 1 | 0 | |
| APGSparsity Level=0.05m2022.11 | 0.01 | 12 | 0 | 0.5 | |
| APG+Sparsity Level=0.05m2022.11 | 0.01 | 8 | 2 | 0.5 | |
| APG-LL+Sparsity Level=0.05m2022.11 | 0.01 | 16 | 2 | 0.5 | |
| APG+Sparsity Level=0.1m2022.11 | 0.01 | 10 | 8 | 0.5 | |
| APG-LL+Sparsity Level=0.1m2022.11 | 0.01 | 22 | 8 | 0.5 | |
| APG+Sparsity Level=0.5m2022.11 | 0.01 | 11 | 11 | 0.75 | |
| APG-LL+Sparsity Level=0.5m2022.11 | 0.02 | 25 | 11 | 0.75 | |
| APGSparsity Level=0.1m2022.11 | 0.03 | 33 | 0 | 0.5 | |
| APGSparsity Level=0.5m2022.11 | 0.43 | 431 | 0 | 0.75 | |
| PG-LLSparsity Level=0.01m2022.11 | 0.47 | 958 | 0 | 0 | |
| PG-LLSparsity Level=0.05m2022.11 | 0.58 | 1,038 | 0 | 0.5 | |
| PG-LLSparsity Level=0.5m2022.11 | 0.99 | 1,800 | 0 | 0.75 | |
| PG-LLSparsity Level=0.1m2022.11 | 1.22 | 2,352 | 0 | 0.5 | |
| PGSparsity Level=0.01m2022.11 | 4.52 | 10,000 | 0 | 0 | |
| PGSparsity Level=0.1m2022.11 | 4.71 | 10,000 | 0 | 0.75 | |
| PGSparsity Level=0.05m2022.11 | 4.72 | 10,000 | 0 | 0.5 | |
| PGSparsity Level=0.5m2022.11 | 4.81 | 10,000 | 0 | 0.75 |