Research Article
On the Use of t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification of Individuals with Parkinson’s Disease
Figure 11
Receiver operating characteristics (ROC) curves of SVM classifier for the training and test sets of SH group. The orange, green, and blue lines show the ROC curves for t-SNE, Sammon’s mapping, and PCA DR methods, respectively. AUC is the area under the curve. (a) Mean ROC curves for data from the training set and its 95% confidence bounds computed by means of Bootstrap, with 1,000 replicas. (b) Mean ROC curves for data from the test set.
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