Figure 4
From: Model averaging strategies for structure learning in Bayesian networks with limited data
Effect of bagging on learning performance This figure shows the effect of bagging on learning performance for the ALARM network. The horizontal axis is the number of false positives and the vertical axis is the number of false negatives. The red curve is computed by simple averaging of the top networks learnt by the search procedure from the original data, while the yellow curve is derived from the same networks weighted by their probability with respect to the data. The blue curve is the simple average of the single best network learnt by the search procedure for each of 2500 bootstrap resamples. The results are averages over 60 independent data sets each containing 250 data points.