We also derive the contributions at each point in space for different spin channel pairs of our proxy energy densities [purple and orange circles or squares in Fig. ] and we show these spin-resolved components for the NeAr diatomic system in Fig. ). The effect of regularization on the interaction correlation energies of the same system (going from the magenta circle to the blue square in Fig. ) is displayed in Fig. ), showing the normalization of binding effects. We then use the resulting spin-resolved energy densities to build real-space, machine-learned and regularized extension of spin-component-scaled (SCS) PT2 correlation energies (the performance of this model for formic acid dimer is shown in Fig. (e,top)). The resulting ML model [green diamond in Fig. ] opens up new avenues for DFAs construction and enables us to bridge the gap between our proxy reference correlation energies (regularized PT2) and their exact counterpart.