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. 2021 May 5;11:9630. doi: 10.1038/s41598-021-88919-9

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© The Author(s) 2021

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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Results of sequential feature selection for the features that are fed to the second-stage classifier. Please note that these results are obtained through a 5-fold cross-validation process, when $75 %$ of dataset is used for training. It should be highlighted that in this analysis, the probabilistic features due to their superior performance over binary features are employed, and the label of each feature is formed as [TrialNumber-TaskName-RecordingChannel].