Reproducibility of the model.

Models were trained on the FINRISK training data set in a cross-validation loop, which results in a BFP cross validation MAE. Fitting the model on all the training data, using the best performing parameter set, results in a training MAE, testing the model on the hold out test data gives the testing error, and applying the model to the independent MDC-CC data set results in the validation error. See S7 Table for results of all models.