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. 2017 Aug 14;9:45. doi: 10.1186/s13321-017-0232-0

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© The Author(s) 2017

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. 3 — Performance of the different methods in the temporal split validation, grouped by underlying algorithm and colored by metric used. On the left y-axis, and in blue the MCC is shown, while on the right y-axis and in red the BEDROC (α = 20) score is shown. Default, single class algorithms are shown, and for several algorithms the performance of PCM and multi-class implementations is shown. Error bars indicate SEM. Mean MCC is 0.17 (±0.03) and mean BEDROC is 0.66 (±0.03)