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Fig. 6 | BMC Systems Biology

Fig. 6

From: Classification of breast cancer patients using somatic mutation profiles and machine learning approaches

Fig. 6

ROC 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 respectively

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