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Comparison of models at the national level. (A) Root Mean Squared Error (RMSE) of fitted values, (B) model R-squared and (C) RMSE of out-of-sample predictions. The models are Support Vector Machines Regression (SVM), Random Forest Regression, Multivariable linear regression, and ARIMA with [i.e., ARIMA (covariates)] and without (i.e., ARIMA) search data as explanatory variables.
