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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis

Fig. 3

Time-dependent receiver operating characteristic curves for predicting cardiovascular event in the training and validation sets. (A) Nomogram in the training set; (B) XGBoost model in the training set; (C) Random survival forest model in the training set; (D) Nomogram in the validation set; (E) XGBoost model in the validation set; (F) Random survival forest model in the validation set. The area under the curve was calculated at 1, 3, and 5 years to evaluate the models’ discriminative performance

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