Fig. 5

Permutation importance from 25 permutations for the most informative clinical features, grouped by classifier and models with and without RFE. Only features that were selected by all 6 clinical models and showed a positive mean importance score (averaged over all 6 models) are presented. The scores show the average decrease in model performance on the test data when a feature was randomly permuted. Error bars represent 95% confidence intervals. LR, logistic regression; RF, random forest classifier; RFE, recursive feature elimination; SVC, support vector classifier