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. 2018 Nov 20;19(Suppl 14):411. doi: 10.1186/s12859-018-2379-8

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© The Author(s). 2018

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 — Illustration of K-CV schemes. The 9 × 9 DDI adjacent matrix is represented by a table with 9 × 9 cells. It is split into different blocks, which account for training, testing and discard parts, and are filled with different colors accordingly. All the entries in the white block are used to train the TMFUF, the entries in the yellow and the green block denote the testing entries in T1 and T₂ respectively, and the entries in the black region are blind to the training and testing. Three subfigures show different 3-CV schemes: a the sampling in CV1, b the within-group sampling in CV2, and c the between-group sampling in CV2