Figure 5.

Comparison of various models trained with patients’ future remission states based on the microbiota profile sampled during the active disease state

(A) Receiver operating characteristic curves of the eight machine learning models trained on the baseline microbiota 16S ASV read counts and clinical features to predict patient remission.

(B) Comparison of classification performance of the eight machine learning models tested based on sensitivity, specificity, and accuracy metrics. See also Figure S4 and Tables S5 and S6. ASVs, amplicon sequence variants.