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. 2020 Nov 16;10:19888. doi: 10.1038/s41598-020-76740-9

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Distribution of the DeepLMS predictive performance indices across users’ groups of DB2. (a) Box-plot of the distribution of RMSE between the testing and the estimated QoI data for the case of DB2 Professors, (b) box-plot of the distribution of the correlation coefficient r between the testing and the estimated QoI data for the case of DB2 Professors, (c) box-plot of the distribution of the correlation coefficient $r_{d}$ between the derivative of the testing and the derivative of the estimated QoI data for the case of DB2 Professors; (d–f) same as (a–c), respectively, yet for the case of DB2 Students. Additional DeepLMS predictive performance indices are tabulated in Table 1.