Our best machine learning model (LightGBM) achieves a considerably better precision of 88% and 80%, respectively. Note that while there is only a 3% drop in accuracy on going from the test set to the out-of-sample set, there is an 8% drop in the precision (and a concomitant drop in MCC). Hereafter, we refer to this method (i.e. LightGBM trained on experimental data) as RegioML.