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. 2021 Jul 1;11:13642. doi: 10.1038/s41598-021-93056-4

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© The Author(s) 2021

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 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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Illustration of the recursive feature elimination results incorporating 1 to 15 features. A random forest method was used to predict the udder health status of dairy cows according to somatic cell count below or above 200,000 cells/mL. The number of features included within the model is reported on the x-axis and the accuracy of the model from tenfold cross validation repeated 100 times is on the y-axis.