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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission

Fig. 2

Box plots of the goodness of fit as measured by AUC values and Brier score for 50 repeatedly performed data splits for each model approach in model development for predicting critical in-hospital events using COVID-19-infected patient’s data on hospital admission. Box plots show the smallest value (low whisker), lower quartile (lower boundary of the box), median (vertical line in the box), upper quartile (upper boundary of the box), and maximum value (upper whisker)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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