Computed tomography-based radiomics predicts the fibroblast-related gene EZH2 expression level and survival of hepatocellular carcinoma

Figure 9 Results of predicting EZH2 in the training set and validation set based on the logistic and random forest classifier algorithm. A: Receiver operating characteristic (ROC) curve in the training sets based on the logistic and random forest classifier algorithm; B: ROC curve in the validation sets based on the logistic and random forest classifier algorithm; C: Precision (PR) curve in the training sets based on the logistic and random forest classifier algorithm; D: PR curve in the validation sets based on the logistic and random forest classifier algorithm. AP: Average precision; AUC: Area under the curve.