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. 2016 Oct 6;17(Suppl 13):335. doi: 10.1186/s12859-016-1220-5

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© The Author(s). 2016

Open AccessThis 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. 7 — Performance evaluation results for DEG_Twitter as new features are added to the model. Left: Mean 10-fold cross validation results with errors bars indicating +/- 1 standard deviation. Actual values in table below Right: Performance results on the test set. Performance on the test set steadily increases with the expanding feature set. Biggest gains are achieved when adding topic context and enriching the DEG_Twitter with features from DEG_SIder