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. 2019 Jan 14;9:103. doi: 10.1038/s41598-018-36454-5

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© The Author(s) 2019

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 information gain, gain ratio, and correlation of the feature selection methods are represented by red, blue and green lines, respectively. The logistic classifier shows the best performance and the Bayesnet classifier shows the worst performance. When the logistic classifier is used with the top 13 features ordered based on the information gain, the accuracy reaches 93.63%.