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. 2015 Aug 12;8:23. doi: 10.1186/s13040-015-0055-3

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© Beck and Foster; licensee BioMed Central. 2015

This article is published under license to BioMed Central Ltd. 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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Fig. 2 — Five-feature sliding window subsets. This figure shows the accuracy of models using a sliding window of five features chosen consecutively from the ranked feature lists. Features are added according to their performance ranking using reliefF (top row), logistic regression (middle row), and random forests (bottom row). The model performance is measured using the area under the ROC (AUC)