The RFR models are trained with 200 trees. Cross-validation shows that the default values can be used for the remaining hyperparameters. Model performance was evaluated using a coefficient-of-determination (R 2 ), root-mean-squared-error (RMSE), and mean-absoluteerror (MAE). These performance metrics were defined in the SI. The performance assessment is performed five times: every time the data set is split, the model is trained and tested, and the worst performance result is reported.