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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis

Fig. 1

The ROC curves of the models. A The complete model ROC curves of five algorithms. The CatBoost algorithm had the highest AUC of 0.80. B The compact model ROC curve of the optimal algorithm. The algorithm with the best performance in the complete model was adjusted, and the top 20 variables with the strongest correlation were selected to create a compact model with an AUC of 0.79. ROC, receiver operating characteristic; AUC, area under the curve

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