Table 3.

The 10-fold cross-validation model performance in the development cohort for renal function recovery.

	Logistic regression	XGBoost	Bayesian networks	Random forest	SVM
Accuracy	0.7402 ± 0.01	0.73583 ± 0.01	0.6967 ± 0.01	0.7301 ± 0.01	0.7095 ± 0.01
Sensitivity	0.6077 ± 0.02	0.5370 ± 0.02	0.4440 ± 0.03	0.5020 ± 0.03	0.4487 ± 0.02
Specificity	0.8726 ± 0.01	0.9346 ± 0.01	0.9490 ± 0.01	0.9579 ± 0.01	0.9702 ± 0.01
AU-ROC	0.8073 ± 0.01	0.8295 ± 0.01	0.7530 ± 0.01	0.8355 ± 0.02	0.8075 ± 0.01