Figure 5
The changes of performance of BOLS as the network pruning step proceeds. The simulation experiment is done with N = 50, K = 20, and ε = 0.1. In these Figures, we concentrate on an output unit-network that has the highest logP(D|Hi) among all output unit networks. For all Figures, the x-axis corresponds to the number of inferred interactions: as the network pruning proceeds, the number of inferred interactions in unit network decreases. Each y-axis corresponds to (a) logP(D|Hi), (b) the number of errors (FP+FN), (c) the complementary specificity, (d) the sensitivity.