We used random forest classifiers to predict coordination number, and random forest regressors to predict mean nearest-neighbor distance and Bader charge, both in the scikitlearn implementation . We quantify classifier performance using the F 1 score for each class. For regressors, performance is quantified using the coefficient of determination R 2