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Workflow of the study. First, a random forest model was fitted to the training data with leave-one-country-out validation. Feature importances of the fitted models are averaged over all the folds and the four best features are kept. Then the random forest model and a linear regression model were fitted on all the training samples using only the four best features. And model performances are tested using the independent test dataset.
