Table 4 Precision results of T-OCD\(_{MB}\) and its rivals on benchmark BNs with 500 sample size.
From: Triplet offline causal discovery based on optimal Markov blanket and its application
Datasets | IAMB | MMMB | HITON-MB | MBOR | STMB | BAMB | EEMB | EAMB | FSMB | T-OCD\(_{MB}\) |
|---|---|---|---|---|---|---|---|---|---|---|
Insurance | 0.95 ± 0.03 | 0.78 ± 0.05 | 0.79 ± 0.04 | 0.92 ± 0.03 | 0.81 ± 0.05 | 0.73 ± 0.01 | 0.84 ± 0.04 | 0.87 ± 0.03 | 0.90 ± 0.01 | 0.52 ± 0.02 |
Mildew | 0.75 ± 0.02 | 0.35 ± 0.05 | 0.35 ± 0.05 | 0.74 ± 0.01 | 0.18 ± 0.01 | 0.53 ± 0.03 | 0.53 ± 0.03 | 0.74 ± 0.02 | 0.82 ± 0.02 | 0.90 ± 0.02 |
Child3 | 0.70 ± 0.01 | 0.71 ± 0.01 | 0.71±0.01 | 0.90 ± 0.01 | 0.70 ± 0.01 | 0.86 ± 0.01 | 0.67 ± 0.01 | 0.81 ± 0.01 | 0.74 ± 0.01 | 0.93 ± 0.01 |
Child10 | 0.60 ± 0.02 | 0.69 ± 0.02 | 0.69 ± 0.02 | 0.56 ± 0.01 | 0.26 ± 0.01 | 0.70 ± 0.02 | 0.65 ± 0.02 | 0.69 ± 0.01 | 0.75 ± 0.02 | 0.91 ± 0.01 |
Alarm10 | 0.70 ± 0.01 | 0.75 ± 0.01 | 0.76 ± 0.01 | 0.84 ± 0.01 | 0.31 ± 0.01 | 0.76 ± 0.01 | 0.80 ± 0.01 | 0.71 ± 0.01 | 0.88 ± 0.01 | 0.89 ± 0.01 |
Pig | 0.82 ± 0.01 | 0.88 ± 0.01 | 0.89 ± 0.01 | 0.95 ± 0.01 | 0.17 ± 0.01 | 0.73 ± 0.01 | 0.72 ± 0.01 | 0.82 ± 0.01 | 0.90 ± 0.02 | 0.92 ± 0.01 |
Gene | 0.69 ± 0.01 | 0.79 ± 0.01 | 0.79 ± 0.01 | 0.96 ± 0.01 | 0.16 ± 0.01 | 0.79 ± 0.01 | 0.78 ± 0.01 | 0.68 ± 0.01 | 0.89 ± 0.01 | 0.90 ± 0.01 |
