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. 2023 Feb 15;13:2688. doi: 10.1038/s41598-023-29574-0

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© The Author(s) 2023

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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Dataset behavior characteristics and classifier performance. (A) Ground-truth distribution of behavior labels (i.e., the number of frames in which each behavior occurs as a proportion of the total number of frames in the dataset) for the home-cage dataset. (B) Example confusion matrix showing the classifier performance by behavior on the home-cage dataset, with cell values normalized relative to the true class. (C) True bout lengths and example predicted bout lengths for the home-cage dataset, grouped by behavior. A single “bout” refers to a period of continuously occurring behavior, and the corresponding bout length to the length of that period in number of frames. Median bout length is marked by the solid black lines, and each dot corresponds to a single bout. (D–F) Similar to (A–C), but for the CRIM13 dataset.