Fig. 6From: Classification of breast cancer patients using somatic mutation profiles and machine learning approachesROC curves. The ROC curve, which is used to show the accuracy of the predictions made by the model, shows the relationship between TPR (sensitivity) and FPR (1-specificity) for each class. As the AUC values indicate that the prediction model achieves a better accuracy in discrimination of early-stage-enriched and late-stage-enriched classes with 0.88 and 0.95 respectivelyBack to article page