range of G ‡ data improves the modeling outcome, thereby aiding the identification of privileged properties of the ring substituents that predictably impart high levels of enantioselectivity. The full data set comprised of 18 data points (S1-S18) was partitioned using the y-equidistant split method into 80:20 training:validation set. The library of molecular descriptors extracted from substrates S1-S15 was used for model building (Figure ), and those from S16-S20 substrates were used to test the model (Figure ).