MLS2 leverages our energy densities to open up new ML DFAs avenues. In the second direction, MLS2 (Sec. IV), we leverage our e κMP2 c (r) and its decomposition into same-spin and opposite-spin channels to open new avenues for ML DFAs. Specifically, MLS2 extends the commonly used spin-component-scaled second-order Møller-Plesset perturbation theory (SCS MP2) by scaling each spin channel at every point in real space using NN weights (Eq. 11), which are learned from a set of real-space features. This is done in tandem with Head-Gordon's κ-regularization. MLS2 improves over κMP2 for a range of closed-shell sytems, included those bonded by noncovalent interactions and stretched covalent bonds. In both ML2 and MLS2, we also use Grimme's FOD as a new feature encoding spatially non-local information to ML DFAs.