A) Comparison of Precision-Recall curves and B) Receiver Operator Characteristic (ROC) curves for clinical laboratory tests and 11 blood metabolites classifying participants in the bottom quartile of Shannon diversity using 10-fold CV implementation of Random forests. C) Out-of-sample R2 scores from penalized regression models predicting Shannon diversity using each omics platform individually, or in different combinations. Values are presented as mean R2 across 10-fold CV +/- standard error of the mean. Performance of metabolomics alone was compared to performance of metabolomics in combination with clinical labs, proteomics, and clinical labs and proteomics using a two-sided nonparametric Mann-Whitney U test. The P-Values for these comparisons are shown. No multiple hypothesis correction was implemented in this analysis. There was no significant improvement or decrease in performance when all analytes were combined relative to metabolomics data alone.