Fig. 6: Model results on external validation data.

Model confusion matrices represent the ratio of how many samples from each true class were classified in each predicted class. The data used to generate these confusion matrices was generated from studies^28,45,46 independent from the rest of the swab dataset analyzed in Figs. 3–5.