Evolution of the TPR, as measured over the three test sets of candidate and confirmed strong-lenses, as a function of the number of candidates selected by the neural networks. Solid curves show the results for the final committee of five networks trained on different ground-truth datasets. Light purple curves show the lower TPR obtained on set 3 for the five individual networks included in the committee: the ResNet from C21 (dashed curve), Classifier-1 from S22 (long-dotted curve), the baseline ResNet from C24 (dotted curve), a network trained on mocks with a natural θ_E distribution (dash-dotted curve), and a ResNet trained on balanced fraction of doubles and quads (long-dashed curve). The vertical gray line marks the final score threshold applied to select the list of strong-lens network candidates. Examples of score thresholds are marked for the evaluation of the best committee on set 3.