Table 4.

Decision tree-based model performances on forecasting hospitalization rates 7 days ahead including regional wastewater viral load and hospitalization data. Models were evaluated on 68 testing windows using the MAE and MAPE. Here the mean MAE and mean MAPE are displayed with the corresponding 95% confidence interval. Models were trained including regional wastewater viral load data as well as regional hospitalization rates from 6 German federal States

Model	MAE	MAPE in %
Random Forest - Regional	0.74; (0.49, 0.98)	11.06; (9.46, 12.67)
XGBoost - Regional	0.75; (0.54, 0.96)	11.30; (9.94, 12.66)