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Benchmarks
Structure Learning on magic-niab n=100
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62.05
SHD
Order MCMC
61.668
64.2465
66.825
69.4035
Nov 1, 2023
SHD
Updated 4d ago
Evaluation Results
Method
Method
Links
SHD
Order MCMC
sample size (n)=100, r...
2023.11
62.05
PARNI-DAG
sample size (n)=100, r...
2023.11
64.14
ADR
sample size (n)=100, r...
2023.11
64.25
DiBS+
sample size (n)=100, r...
2023.11
64.7
Iterative MCMC
sample size (n)=100, r...
2023.11
65
GES
sample size (n)=100, r...
2023.11
65.5
DiBS
sample size (n)=100, r...
2023.11
65.8
Partition MCMC
sample size (n)=100, r...
2023.11
66.2
PC
sample size (n)=100, r...
2023.11
66.95
DECI
sample size (n)=100, r...
2023.11
66.95
LINGAM
sample size (n)=100, r...
2023.11
71.6
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