The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on, with an eventual AUC of 0.936 and an accuracy of 0.918.

Dimitris Bertsimas, Angela King, Logistic Regression: From Art to Science, Statistical Science, Vol. 32, No. 3 (August 2017), pp. 367-384 ...

The model can naturally account for sampling variabilities and zero observations and also allow for a flexible covariance structure among the bacterial taxa. In order to select the relevant covariates ...