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. 2021 Jun 2;4:89. doi: 10.1038/s41746-021-00465-w

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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 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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Fig. 4 — Confusion Matrix for multiclass decision tree model validated with a 70/30 train/test split. In this model, the class-accuracy for PersHigh glucose is 82.6%, the class accuracy for PersNorm is 81.3%, and the class accuracy of PersLow is 82.1%.