Figure 3

Comparison of the learning curves of parental-recombination and link-recombination. For each learning algorithm, the results of the comparison of the graph learnt for various sample sizes and the reference graph are expressed in terms of positive predictive value (A1 and A2) and sensitivity (B1 and B2). Figures A1 and B1 show the results obtained without niching, while Figures A2 and B2 show the results obtained with niching. The color coding is blue for parental-recombination and red for link-recombination. For each sample size, tests are performed on 10 different and independent datasets. The same datasets are used for every EA. Each point along the curves, which correspond to a given sample size, represents the mean value and the standard deviation of the quality measurement across the 10 runs of the algorithms.