Fig. 4

Performance assessment of prediction model in primary set and testset. Confusion matrix ROC curve analysis in primary cohort (a and b) and test cohort (c and d). The solid lines in different colors indicate that the ROC curve for each class of TSCC correspond to a different AUC, which represents the positive rate of prediction of the degree of pathological differentiation. The dotted lines in different colors indicate the ROC curves of the micro-average and macro-average. Notes: Numbers 1, 2, and 3, represent poorly, moderately, and well differentiated TSCC, respectively