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Causal Structure Learning on Gumbel synthetic dataset

1Adj Precision

DAGMA

0.85440.89220.930.9678Oct 26, 2023
Updated 1mo ago

Evaluation Results

MethodLinks
2023.10
10.580.820.47
2023.10
10.540.870.46
2023.10
10.50.890.45
2023.10
10.460.890.41
2023.10
10.390.90.35
2023.10
10.320.890.29
2023.10
10.280.870.25
2023.10
10.240.860.2
2023.10
10.210.850.18
2023.10
0.990.750.930.67
2023.10
0.990.760.950.71
2023.10
0.990.770.960.73
2023.10
0.990.760.960.73
2023.10
0.990.750.960.72
2023.10
0.990.740.970.72
2023.10
0.990.720.970.7
2023.10
0.990.730.970.71
2023.10
0.990.720.970.7
2023.10
0.990.20.830.17
2023.10
0.980.770.910.58
2023.10
0.910.810.890.8
2023.10
0.910.80.90.8
2023.10
0.90.810.880.8
2023.10
0.90.810.890.8
2023.10
0.90.810.880.8
2023.10
0.90.810.890.8
2023.10
0.90.80.890.79
2023.10
0.90.810.890.8
2023.10
0.890.80.860.78
2023.10
0.860.80.80.78