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Performance of the classifier. Our SVM ensemble yielded an area under the curve of 0.87 for the prediction of individual therapeutic success (left). That is, on the basis of a whole-brain parcellation of grey matter, the machine learning algorithm predicted individual response to rTMS in tinnitus patients with an accuracy of 83.5% (right).
