To assess the predictive abilities of our models we used internal and external validation tests. For the regression model we obtained R 2 holdout = 0.822 (Figure . a.) and R 2 cros-validation = 0.796 (Figure . b.) for the external and internal validations, respectively. The difference R 2 holdout -R 2 cros-validation of 0.026 clearly indicates that there are low overfitting ramifications with the regression model. The same holds true for the classification models, where we consider AUCholdout and AUCcros-validation. We achieved AUC differences of 0.0015 and 0.0212 for the binary (Figure . c. & d.) and 3-category (Figure . e. & f.) models respectively.