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. 2021 Sep 15;11:18375. doi: 10.1038/s41598-021-96731-8

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Set of hyper-parameters for a grid search in order to improve the forest’s accuracy. Note that not all hyper-parameters have be varied, such as n_jobs, oob_score or verbose. Only hyper-parameters were varied that have a higher impact on the accuracy score. However, static parameters are listed for the purpose of integrity.