Extended Data Fig. 8: Comparison of machine learning models.
Random forest, kernel support vector machine, linear support vector machine, elastic net, LASSO, and ridge regression models using bacterial/archaeal, metabolomic, viral, and metatranscriptomic features along with clinical metadata, with random forest model showing a comparatively high area under the receiver operating curve (AUC = 0.691) and the highest area under the precision-recall curve (0.599).
