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. 2024 Jun 28;40(Suppl 1):i110–i118. doi: 10.1093/bioinformatics/btae239

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© The Author(s) 2024. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 3. — Top-1 accuracy with respect to smile intensity as determined by Facial Action Coding System (FACS). Smile intensity was calculated for each facial image by adding facial action units 6 (cheek raiser) to 12 (lip corner puller). Top-1 accuracy refers to the ability of the classifier to predict the correct genetic condition (highest prediction probability). With higher smile intensity, there is a considerable decrease in correct prediction of top-1 accuracy in NS and a more modest decrease in 22q. Conversely, there is an increase in top-1 accuracy in AS and WS with greater smile intensity.