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. 2018 Jun 29;14(8):4168–4175. doi: 10.1021/acs.jctc.8b00378

Figure 2.

Figure 2

Learning curve showing the decreasing error of PAO-ML (blue) with increased training set size. For comparison the error of a variationally optimized PAO basis (green) and a traditional minimal SZV-MOLOPT-GTH (red) basis set are shown. With very little training data, the variational limit is approached by the ML method.