Table 1. Performance of train and test data for predicting weekly norovirus warning, using the 6 machine learning algorithms.

Estimator	Training cases (n = 424)			Test cases (n = 106)
	Accuracy	F1-score	AUC	Accuracy	F1-score	AUC
SVM	0.931	0.938	0.935	0.887	0.915	0.901
MLP	0.92	0.928	0.92	0.896	0.923	0.908
RF	0.965	0.968	0.966	0.915	0.94	0.902
GB	0.965	0.969	0.965	0.915	0.94	0.902
LSTM	0.972	0.974	0.974	0.925	0.947	0.899
GRU	0.974	0.978	0.974	0.9	0.923	0.899