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Benchmarks
Causal Generative Modeling on 11 synthetic datasets Continuous variables (test)
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56
RF Accuracy (Observed)
DBCM
50.8
52.15
53.5
54.85
Mar 20, 2026
RF Accuracy (Observed)
MMD (Observed)
RF Accuracy (Interventional)
MMD (Interventional)
MAE (Counterfactual)
p-value
Updated 26d ago
Evaluation Results
Method
Method
Links
RF Accuracy (Observed)
MMD (Observed)
RF Accuracy (Interventional)
MMD (Interventional)
MAE (Counterfactual)
p-value
DBCM
Number of training sam...
2026.03
56
31.5023
55
6.795
3.981
0.001
ANM
Number of training sam...
2026.03
53
8.862
54
3.022
2.622
0.5
KAAM
Number of training sam...
2026.03
52
16.769
53
4.765
4.662
0.055
CFlow
Number of training sam...
2026.03
52
20.466
61
9.618
3.861
0.001
KAN
Number of training sam...
2026.03
51
16.498
53
4.794
5.102
0.061
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