BMC Medical Informatics and Decision Making

Table 2 Predictive performance comparison of different methods in the training and validation sets

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

Indexes	Training set			Validation set
Indexes	Nomogram	XGBoost	RSF	Nomogram	XGBoost	RSF
C-index	0.688	0.771	0.810	0.685	0.703	0.725
AUC at 1 year	0.656	0.766	0.804	0.806	0.744	0.812
AUC at 3 years	0.758	0.827	0.880	0.761	0.780	0.836
AUC at 5 years	0.720	0.776	0.825	0.610	0.719	0.706

C-index: concordance index; AUC: area under the curve; RSF: random survival forest

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ISSN: 1472-6947

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