Establishment and evaluation of a risk prediction model for gestational diabetes mellitus

Table 4 Prediction performance evaluation results of the nomogram model and random forest model (%)

Prediction model		Sensitivity	Specificity	AUC (95%CI)
Nomogram model	Training set	74.1	87.6	0.883 (0.846-0.921)
	Validation set	81.0	81.2	0.850 (0.782-0.918)
Random forest model	Training set	91.4	84.8	0.950 (0.927-0.973)
	Validation set	89.7	89.7	0.918 (0.868-0.967)

AUC: Area under the curve; CI: Confidence interval.