Results from RFC modeling to predict ongoing symptomatic COVID-19 and long COVID from HUMAnN3 pathway abundances. (A) F1 scores for demographics, clinical covariates, and pathway abundances and only on pathway abundances. (B) Ranking of forest predictors based on median permutated variable importance from the top-performing model, pathways only, for each outcome. (C) Relative pathway abundances for each pathway found to be important in predicting ongoing symptomatic COVID-19 and long COVID, respectively, by RFC modeling using only pathway abundances. We report violin plots showing the distribution of the relative abundance of pathways in patients with symptoms less than 4 weeks (blue) and 4 weeks or longer (yellow). RFC, forest classification modeling.