Prediction accuracies of random forest models by country.

Left home—accuracy represents the percentage of correct classifications on the test set when predicting whether someone left their home. Risk—Root Mean Squared Error indicates the accuracy of predictions on the test set when predicting riskiness of the activity when someone left their home, while risk—R2 represents the proportion of variance explained by the model.