Fig. 2.

Model performance by F1-score for predicting improvement in various outcome parameters after turning patients to a prone position. The F1-score combines the precision (positive predictive value) and recall (sensitivity) scores to provide a single metric to compare model performance where a performance of 1.0 reflects perfect scores while 0.0 reflects the worst performance. LR logistic regression, RF  random forest, KNN  K-Nearest Neighbors, SVM  support vector machine, GNB Gaussian Naïve Bayes, XGB  eXtreme Gradient Boosting