Causal structure learning on Synthetic nD=10000, d=2, dmax=10, 400 nodes
2.2CI Test CountMB-by-MB+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MB-by-MB+CI Test Type=d-separation2025.10 | 2.2 | 1.41 | 0 | 0.032 | |
| LOADCI Test Type=d-separation2025.10 | 2.94 | 1.99 | 100 | 0.003 | |
| LDP+CI Test Type=d-separation2025.10 | 2.96 | 7.69 | 0 | 0.008 | |
| SNAP(∞)CI Test Type=d-separation2025.10 | 79.98 | 93.44 | 100 | 0.003 | |
| MARVELCI Test Type=d-separation2025.10 | 82.07 | 113.14 | 100 | 0.003 | |
| PCCI Test Type=d-separation2025.10 | 96.81 | 117.25 | 100 | 0.003 | |
| LDECC+CI Test Type=d-separation2025.10 | 100.55 | 99.77 | 0 | 0.032 | |
| MB-by-MB+CI Test Type=G22025.10 | 2,560 | 8.99 | 0 | 0.033 | |
| LDP+CI Test Type=G22025.10 | 3,030 | 19.39 | 0 | 0.032 | |
| LOADCI Test Type=G22025.10 | 3,080 | 9.35 | 0.24 | 0.032 | |
| MARVELCI Test Type=G22025.10 | 79,800 | 9,074.14 | 0 | 0.067 | |
| SNAP(∞)CI Test Type=G22025.10 | 79,800 | 55.38 | 0 | 0.063 | |
| PCCI Test Type=G22025.10 | 87,790 | 57.46 | 0.28 | 0.022 |