Fig. 7: Random forest performance.
From: Oral and gut microbiome profiles in people with early idiopathic Parkinson’s disease
Model performance for random forest classifiers. Random forest models were built using a variety of input data sets. As a baseline, answers to survey questions were used. The points above represent the mean ROC AUCs and the line segments represent the standard error around these means. The dashed vertical line represents the mean ROC AUC for the baseline data set, i.e., the survey answers alone. The white points indicate the mean ROC AUCs for the saliva taxonomic abundances, and the black points for the stool taxonomic abundances. The y-axis identifies the data sets included in these analyses, and the bracket highlights the two best performing models with and without covariates in the data set.
