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Table 1 Model comparison of predictive performance for the different network structures learned from a 10-fold cross validation. Briers score, information reward, and Bayesian information reward indicate that learning from data massively outperforms learning from experts, but using expert knowledge as a prior provides an additional small increase in performance

From: Bayesian belief network modelling of household food security in rural South Africa

Learning method

SB

SIR

SBIR

Expert elicitation

0.1321

0.3908

−1.9004

Data-learned

0.0851

0.5577

−0.0270

Data-learned with expert prior

0.0846

0.5590

0.0057