Central to the real-space ML models we develop here is the implementation of the regularized and spinresolved PT2-based correlation energy density generator (Sec. IV), which yields e κMP2 c (r) correlation energy densities within a well-defined ('conventional' wave-functionbased) gauge. We pursue two directions from these energy densities, each serving a distinct purpose in demonstrating the power of real-space ML for DFAs.