Figure 3 | Scientific Reports

Figure 3

From: Prediction of persistent acute kidney injury in postoperative intensive care unit patients using integrated machine learning: a retrospective cohort study

Figure 3

Evaluation of model performance in the internal validation dataset. (A) The calibration plot shows the consistency between observed and predicted risks for persistent acute kidney injury. (B) Discrimination of the machine-learning models in the internal validation dataset. SVM, support vector machine; XGBoost, extreme gradient boosting; AUC, area under the curve. The number in parentheses indicates the 95% confidence interval.

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