Figure 4.

Variables with highest importance in sepsis classification models of the screening cohort. Molecules were ranked by their variable importance values from all classification models based on the molecular parameters of the screening cohort. (A) Model agnostic variable importance by permutation from nested cross-validations of seven different algorithms trained on all proteins and gene expressions. Model specific variable importance weights: (B) Coefficients for Lasso regression, and (C) Gini index node impurity for XGBoost. Molecules labeled with mRNA in parenthesis refers to the gene expression data. Boxplots presented with median and interquartile range (IQR).