We summarize validated performance (Section 2.4.1), predicted performance (Section 2.4.2), and model accuracy (Section 2.4.3) in Figure . Figure represents the situation where the best performing candidate (as determined by the surrogate model and restricted to the set of samples that were actually probed) is run again on the objective function using 50 repeats (see Section 2.4). Since each campaign was run 10 times, 10 "best" samples each had 50 validation repeats, resulting in 500 total evaluations of the objective function per search space. First the mean within each campaign is taken (i.e., mean of 50 repeats) and then box plots and raw data for the 10 means are reported in the figure. On the other hand, Figure represents the raw observed data across each of the campaigns. There are 50 iterations in each campaign and 10 campaigns, so each validation of a search space includes 500 evaluations of the objective function. Likewise, Figure represents the best insample predictions (i.e., the sample predicted to be best after all 50 iterations have completed) averaged across each of the 10 campaigns. The distinction between Figure and Figure is that Figure shows model predictions at the completion of the optimization campaign whereas Figure shows raw data as the optimization progresses. Finally, Figure shows scaled model error.