Table 7 Recall results of T-OCD\(_{MB}\) and its rivals on benchmark BNs with 5000 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

0.88 ± 0.01

0.99 ± 0.01

0.99 ± 0.01

0.73 ± 0.02

0.98 ± 0.02

0.98 ± 0.02

0.75 ± 0.02

0.65 ± 0.02

0.77 ± 0.01

0.65 ± 0.01

Mildew

0.41 ± 0.02

0.90 ± 0.03

0.90 ± 0.03

0.47 ± 0.01

0.86 ± 0.02

0.11 ± 0.02

0.40 ± 0.01

0.71 ± 0.01

0.44 ± 0.01

0.92 ± 0.01

Child3

0.90 ± 0.03

0.97 ± 0.02

0.97 ± 0.02

0.97 ± 0.02

0.97 ± 0.02

0.91 ± 0.02

0.97 ± 0.02

0.92 ± 0.02

0.88 ± 0.01

0.97 ± 0.02

Child10

0.88 ± 0.01

0.99 ± 0.01

0.99 ± 0.01

0.99 ± 0.01

0.99 ± 0.01

0.99 ± 0.01

0.60 ± 0.01

0.92 ± 0.01

0.76 ± 0.01

0.99 ± 0.01

Alarm10

0.64 ± 0.03

0.72 ± 0.03

0.73 ± 0.02

0.82 ± 0.01

0.76 ± 0.02

0.74 ± 0.02

0.80 ± 0.01

0.76 ± 0.01

0.87 ± 0.01

0.84 ± 0.01

Pig

0.96 ± 0.01

0.42 ± 0.01

0.42 ± 0.01

1.00 ± 0.01

1.00 ± 0.01

1.00 ± 0.01

1.00 ± 0.01

0.95±0.01

0.94 ± 0.01

1.00 ± 0.00

Gene

0.89 ± 0.01

0.94 ± 0.01

0.94 ± 0.01

0.98 ± 0.01

0.99 ± 0.01

0.94 ± 0.01

0.94 ± 0.01

0.88 ± 0.01

0.98 ± 0.01

1.00 ± 0.01