reactions and catalysts with unknown mechanisms relies on quantitative structure-selectivity relationships (QSSR), where statistical models can be used to correlate enantioselectivity to the structure of the catalyst and reaction components. In addition to these, the field has evolved to also incorporate ML methods for the development of predictive models. While sometimes used interchangeably in the scientific literature, statistical and ML models are in fact distinct. Statistical models are derived from the whole data (where statistical relevance is measured), while ML models are trained and tested on separate sets.