Fig. 2

Comparison of top metabolites selected by each analysis method’s innate feature selection algorithm. Comparison of top metabolites selected by each analysis method’s innate feature selection algorithm, identifying metabolites that more meaningfully contribute to successful sepsis mortality prediction models. Such approaches may identify measures of association and individual metabolic links with mortality. Agreement was noted between the lists of top metabolites identified by several machine learning methods, which also overlapped with those identified by conventional panelized logistic regression. FDA flexible discriminant analysis, GBM generalized boosted regression models, LR logistic regression, NSC nearest shrunken centroids, PLS-DA partial least squares-discriminant analysis, sparse LDA sparse discriminant analysis