Causal structure learning on Synthetic nD=10000, d=2, dmax=10, 100 nodes
0.66CI Test CountMB-by-MB+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MB-by-MB+CI Test Type=d-separation2025.10 | 0.66 | 0.15 | 0 | 0.031 | |
| LOADCI Test Type=d-separation2025.10 | 0.86 | 0.21 | 100 | 0.004 | |
| LDP+CI Test Type=d-separation2025.10 | 0.88 | 0.58 | 1 | 0.011 | |
| SNAP(∞)CI Test Type=d-separation2025.10 | 5.11 | 3.07 | 100 | 0.004 | |
| MARVELCI Test Type=d-separation2025.10 | 5.48 | 2.06 | 100 | 0.004 | |
| LDECC+CI Test Type=d-separation2025.10 | 7.95 | 2.71 | 0 | 0.031 | |
| PCCI Test Type=d-separation2025.10 | 9 | 3.67 | 100 | 0.004 | |
| MB-by-MB+CI Test Type=G22025.10 | 1,040 | 1.87 | 0 | 0.022 | |
| LDP+CI Test Type=G22025.10 | 1,130 | 3.16 | 0 | 0.022 | |
| LOADCI Test Type=G22025.10 | 1,190 | 2.03 | 39 | 0.021 | |
| MARVELCI Test Type=G22025.10 | 4,950 | 153.59 | 0 | 0.067 | |
| SNAP(∞)CI Test Type=G22025.10 | 4,950 | 2.95 | 9 | 0.045 | |
| PCCI Test Type=G22025.10 | 6,150 | 3.93 | 34 | 0.018 |