Table 3.
TRUTH |
||
---|---|---|
NORMAL | TSCC | |
Prediction | ||
Normal | 13 | 0 |
TSCC | 2 | 15 |
Notes:
Random forest classification model based on top three microRNA biomarkers (miR-486-3p, miR-139-5p, and miR-21) was used to predict normal and TSCC cases of the validation sample set (n = 30). The sensitivity of this classification model is 100% (15/15), and the specificity is 86.7% (13/15).