Fig. 2
From: Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease
Classification accuracies for all datasets classifying a disease state and b treatment response. Each bar corresponds to a different model. Accuracies are based on random forest (RF) leave-one-out cross-validation (LOOCV) in all cases, except for number of observed OTUs (# OTUs) and genetic risk scores (GRS) which are based on LOOCV of simple linear cut-off models. The symbols *, **, and *** indicate significance at P < 0.05, P < 0.01, and P < 0.001, respectively. RF model significances were based on a permutation test. P values for # OTUs and GRS are based on one-tailed Mann-Whitney-Wilcoxon Tests