Using the same features, functional form of Eq. 10, and NN architecture for mapping the features at a given r to w c (r), we can now isolate the difference between using LES and GES for NN training of a DFA [cyan vs. maroon diamonds in Fig. ]. For simplicity and to create a challenging transferability test, we train our ML2 based NN only on eight small closed-shell atoms/ions (H -, He, Be, Ne, Mg, Ar, Ca, and Kr). The total loss is calculated as the mean over these eight datapoints, as detailed in Sec. S4 in the SI. We validate our training on comparable small closed-shell atoms/ions (see Fig. ) in the SI.