Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa
Fig 5
Findings in terms of stability of the classification accuracy are robust to the classifier choice.
Differences in terms of AUC between presence/absence and relative abundance profiles for the 25 case-control shotgun datasets at varying classification algorithms. ENet: Elastic Net; LSVM: SVM with linear kernel; SVM: SVM with RBF kernel; RFs: Random Forests.