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Fig. 8 | BMC Medical Informatics and Decision Making

Fig. 8

From: Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning

Fig. 8

Sensitivity to the number of outer steps. We choose NoTears-L1 as the base algorithm, and study our algorithm’s sensitivity to the number of outer steps (X-axis). We test on a 30-node ER graph with 500 samples: the algorithm’s performance is much noisier with respect to changing numbers of outer steps. Thus, in practice, we need to carefully select the number of outer steps for each different dataset

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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