TABLE 2.

Discriminant analysis for urothelial carcinoma in the training set

Model	miRNA	Sensitivity	Specificity	Accuracy	AUC	Cross‐validated accuracy	Cutoff
Model 1	miR‐1273 g‐3p	0.87	0.92	0.89	0.92	0.83	7.48
Model 2	miR‐1343‐5p	0.81	0.88	0.83	0.89	0.80	10.21
Model 3	miR‐6778‐5p	0.84	0.84	0.84	0.89	0.80	7.93
Model 4	miR‐619‐5p	0.86	0.84	0.85	0.90	0.80	6.89
Model 5	miR‐4732‐5p	0.78	0.88	0.81	0.89	0.79	5.63
Model 6	miR‐6087	0.60	1.00	0.72	0.85	0.78	11.65
Model 7	miR‐8071	0.59	0.96	0.69	0.82	0.77	6.75
Model 8	miR‐6768‐5p	0.76	0.92	0.81	0.85	0.77	8.93
Model 9	miR‐4433a‐3p	0.56	0.96	0.67	0.79	0.75	7.23
Model 10	miR‐7641	0.59	0.92	0.68	0.78	0.75	7.05
Model 11	miR‐4454	0.68	0.84	0.73	0.81	0.75	9.53
Model 12	miR‐1260a	0.70	0.84	0.74	0.80	0.75	6.26