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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Machine learning model for predicting acute kidney injury progression in critically ill patients

Fig. 3

Performance of the XGBoost and Logistic regression model A Receiver operating characteristic curve for estimating the discrimination between the Logistic regression model and the XGBoost model. B Precision–recall curve for estimating the discrimination between the Logistic regression model and the XGBoost model. C Confusion matrix of the Logistic regression model and XGBoost model. The color represents the number of patients. Whether progress is represented by numbers

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