Figure 6
From: Model averaging strategies for structure learning in Bayesian networks with limited data
Effect of bias-correction strategies This figure shows the effect of bias correction strategies on learning performance for the ALARM network. In the upper panel, the horizontal axis is the number of false positives and the vertical axis is the number of false negatives. In the lower panel, the horizontal axis is the probability threshold above which an edge is deemed to be present, and the vertical axis is the total number of errors (false positives plus false negatives). The results are averages over 60 independent data sets each containing 250 data points. The DPSM scoring metric with λ = 1 was used.