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. 2019 Feb 11;10:41. doi: 10.3389/fpsyt.2019.00041

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Copyright © 2019 Gurke, Etyemez, Prvulovic, Thomas, Fleck, Reif, Geisslinger and Lötsch.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Receiver operating characteristic (ROC) curves for the classifiers. For this example, the full data set was used for the prediction of trained algorithms implemented as random forests, k-nearest neighbors (kNN) support vector machines (SVM) multilayer perceptron [MLP or naïve Bayesian classifiers (Bayes)]. The figure has been created using the R software package [version 3.4.4 for Linux; http://CRAN.R-project.org/; (13)] and the R package “pROC” [https://cran.r-project.org/package=pROC; (59)].