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. 2022 Sep 5;25(1):188–202. doi: 10.1093/biostatistics/kxac035

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© The Author 2022. 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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Fig. 2 — The discordance metric does not change as a function of class balance. We randomly sampled = 1000 observations with 500 features from a mixture distribution with being the probability of an observation coming from and coming from with a true mean difference () (-axis). Along the -axis we change group (or class) balance from balanced (e.g., = 0.50) and to imbalanced (e.g., = 0.05) groups. The plots are heatmaps of true (left) and (right) discordance metrics, which shows does not change as a function of class balance (-axis), only as a function of the true effect size (-axis).

Inline graphic — The discordance metric does not change as a function of class balance. We randomly sampled = 1000 observations with 500 features from a mixture distribution with being the probability of an observation coming from and coming from with a true mean difference () (-axis). Along the -axis we change group (or class) balance from balanced (e.g., = 0.50) and to imbalanced (e.g., = 0.05) groups. The plots are heatmaps of true (left) and (right) discordance metrics, which shows does not change as a function of class balance (-axis), only as a function of the true effect size (-axis).