TABLE 3.

Optimal performance of models containing 2 to 7 candidate miRNAs as diagnostic biomarkers for NPC

Feature	Train SN	Train SP	Train AUC	Test SN	Test SP	Test AUC
miR‐134‐5p + miR‐409‐3p	0.925 (0.825‐1)	0.64 (0.44‐0.8)	0.868 (0.773‐0.963)	0.9(0.75‐1)	0.533 (0.267‐0.8)	0.877 (0.763‐0.991)
miR‐134‐5p + miR‐205‐5p + miR‐409‐3p	0.85 (0.725‐0.95)	0.8 (0.64‐0.96)	0.882 (0.795‐0.969)	0.9(0.75‐1)	0.8 (0.6‐1)	0.91 (0.802‐1)
miR‐134‐5p + miR‐205‐5p + miR‐409‐3p + miR‐484	0.825 (0.7‐0.925)	0.84 (0.68‐0.96)	0.879 (0.791 ~ 0.967)	0.9 (0.75 ~ 1)	0.8 (0.6 ~ 1)	0.91 (0.805 ~ 1)
miR‐134‐5p + miR‐205‐5p + miR‐409‐3p + miR‐486‐3p + miR‐92b‐3p	0.8 (0.675 ~ 0.9)	0.96 (0.88 ~ 1)	0.895 (0.808 ~ 0.982)	0.85 (0.7 ~ 1)	0.867 (0.667 ~ 1)	0.92 (0.817 ~ 1)
miR‐134‐5p + miR‐205‐5p + miR‐409‐3p + miR‐484 + miR‐486‐3p + miR‐92b‐3p	0.8 (0.675 ~ 0.925)	0.96 (0.88 ~ 1)	0.89(0.803 ~ 0.977)	0.85 (0.65 ~ 1)	0.867 (0.667 ~ 1)	0.92 (0.817 ~ 1)
miR‐134‐5p + miR‐205‐5p + miR‐409‐3p + miR‐484 + miR‐486‐3p + miR‐486‐5p + miR‐92b‐3p	0.825 (0.7 ~ 0.925)	0.92 (0.8 ~ 1)	0.89 (0.801 ~ 0.979)	0.85 (0.7 ~ 1)	0.867 (0.667 ~ 1)	0.92 (0.817 ~ 1)

Abbreviations: SN, sensitivity; SP, specificity; AUC, area under the curve.