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ROC (receiver operating characteristic) curves with the area under the ROC curve (AUC) for the RF-ML algorithm with Lactococcus, Lactobacillales, Erysipelotrichales, Streptococcus, Lipo1, BMI, Lachnospiraceae and muscle mass identified as the important predictors for discriminating between WLPB-pre and WLPB-post groups. Abbreviations: FPR, false positive rate; RFM-L, Random Forest machine learning; TPR, true positive rate.
