Figure 2.

Supporting vector machine (SVM) model for differentiation of high-grade squamous intraepithelial lesions (HSIL) group and no cervical lesion (NCL) group according to their metabolomics and clinical evaluation at collection time. (A) The receiving operating-characteristic (ROC) curve ploting the true positive rate against the false positive rate for the model as a whole, which displayed an area under the ROC curve (AUC) of 0.91 for the test set, with average accuracy of 80.9%, based on 100 cross validations. (B) The p-value was found to be significant since it is less than 0.05. The individuals ROC for the three molecules used for building the model and the relative abundances distribution of these molecules over the groups shown by the box-plots are displayed for M312T2 (C), M468T5 (D), and M568T5 (E).