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ResearchFormerly WizWand

Causal Structure Learning on Gumbel synthetic dataset

1Adj PrecisionDAGMA

Evaluation results

Method	Links
DAGMA2023.10		1	0.58	0.82	0.47
DAGMA2023.10		1	0.54	0.87	0.46
DAGMA2023.10		1	0.5	0.89	0.45
DAGMA2023.10		1	0.46	0.89	0.41
DAGMA2023.10		1	0.39	0.9	0.35
DAGMA2023.10		1	0.32	0.89	0.29
DAGMA2023.10		1	0.28	0.87	0.25
DAGMA2023.10		1	0.24	0.86	0.2
DAGMA2023.10		1	0.21	0.85	0.18
BOSS2023.10		0.99	0.75	0.93	0.67
BOSS2023.10		0.99	0.76	0.95	0.71
BOSS2023.10		0.99	0.77	0.96	0.73
BOSS2023.10		0.99	0.76	0.96	0.73
BOSS2023.10		0.99	0.75	0.96	0.72
BOSS2023.10		0.99	0.74	0.97	0.72
BOSS2023.10		0.99	0.72	0.97	0.7
BOSS2023.10		0.99	0.73	0.97	0.71
BOSS2023.10		0.99	0.72	0.97	0.7
DAGMA2023.10		0.99	0.2	0.83	0.17
BOSS2023.10		0.98	0.77	0.91	0.58
LiNGAM2023.10		0.91	0.81	0.89	0.8
LiNGAM2023.10		0.91	0.8	0.9	0.8
LiNGAM2023.10		0.9	0.81	0.88	0.8
LiNGAM2023.10		0.9	0.81	0.89	0.8
LiNGAM2023.10		0.9	0.81	0.88	0.8
LiNGAM2023.10		0.9	0.81	0.89	0.8
LiNGAM2023.10		0.9	0.8	0.89	0.79
LiNGAM2023.10		0.9	0.81	0.89	0.8
LiNGAM2023.10		0.89	0.8	0.86	0.78
LiNGAM2023.10		0.86	0.8	0.8	0.78