T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes

Table 3 ROC-AUC and PR-AUC of 5-cross-vaildated

Exp	Logistic Regression		Random forest		SVM		ANN
Exp	ROC-AUC	PR-AUC	ROC-AUC	PR-AUC	ROC-AUC	PR-AUC	ROC-AUC	PR-AUC
1	0.82	0.92	0.69	0.85	0.79	0.89	0.83	0.93
2	0.70	0.87	0.58	0.78	0.67	0.82	0.73	0.89
3	0.72	0.88	0.58	0.81	0.75	0.89	0.70	0.86
4	0.75	0.86	0.66	0.79	0.75	0.86	0.73	0.85
5	0.70	0.88	0.71	0.88	0.66	0.85	0.72	0.88
Fin	0.75	0.89	0.66	0.87	0.75	0.89	0.78	0.92

ISSN: 1758-5996