Figure 2: The support vector machines classifier achieved an area under the receiver operating characteristic curve of 0.8 (accuracy, 77%; sensitivity, 70%; specificity, 83%) in the test dataset for the prediction of the BRAF V600E mutation status. The right side shows the corresponding confusion matrix.