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Fig. 2 | Annals of Intensive Care

Fig. 2

From: Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

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

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