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RF implemented in scikit-learn was used [20]. The maximum depth of a tree was tuned as a hyperparameter of the RF model, and its possible values were , log2f, and f, where f is the number of features (=330) of an input BCR/Ig.
Copyright and License information: The Author(s) ©2019
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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