Although the EGAT architectures achieve mean accuracies on RGD1 comparable to the best G2EA models previously published, we consider it useful spend some time elaborating the obstacles to further accuracy improvements (Fig. ). First we analyzed the conservation of poorly predicted outliers across the different architectures by histogramming testing samples by their error percentile for each EGAT model and calculating the overlapping samples in each bin (Fig. ). This analysis reveals that the architectures tended to perform poorly on the same samples, whereas the other bins show overlaps that are more consistent with chance (the expected overlap is ∼ 1% for this number of bins and models).