Average classification accuracy from five NNs, normalised to the asymptotic accuracy, against the number of latent dimensions. Two sets of NNs are trained, one with X-rays included (reds/triangles) and the other excluded (blues/non-triangles). Each line shows an increase in the number of simulations included in the training, starting with BAHAMAS-0 and BAHAMAS-SIDM (solid), then BAHAMAS-AGN (dashed), and finally DARKSKIES (dotted). We fitted each set of data with an y = a + arctan((|𝒵|−b)/c) fit (lines).