Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

Table 4 Efficacy of three model validation sets in predicting concurrent diabetic nephropathy in patients with type 2 diabetes

Model	Accuracy	Sensitivity	Specificity	Rate of recall	Rate of precision	AUC (95%CI)
Nomogram	0.746	0.710	0.844	0.906	0.690	0.811 (0.700-0.923)
Decision tree	0.714	0.710	0.875	0.906	0.659	0.735 (0.602-0.869)
Random forest	0.730	0.806	0.844	0.906	0.674	0.850 (0.750-0.950)

AUC: Area under the receiver operating characteristic curve; 95%CI: 95% confidence interval.