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. 2018 Jul 13;8:10628. doi: 10.1038/s41598-018-28840-w

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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The results of the performance of cross-validation. The colored lines indicate different interaction depths (i.e., maximal tree depths). Each data point in the figure represents one classifier. For example, the magenta data point at (1500, 0.985) indicates a model built with 1500 trees and the tree depth is 3, and this model gives an AUC value of 0.985 in the 10-fold cross-validation with 10 times repeats.