Difference in algorithm accuracies by cohort type and number of classes for BMI.

<p>Algorithm accuracies were compared using the Nemenyi tests in R mlr3benchmark package. Algorithms with similar accuracies are shown by the black bars in (A). (A) and (B) show the difference in median ARI between magnitude and shape cohorts. ΔARI>0 indicates higher median accuracies in shape cohorts than magnitude cohorts. ΔARI is stratified by number of classes in (A). (B) shows ΔARI for combinations of centroids and distance measures used. The annotations B, M, and S refer to the algorithm combination ranking higher in both, magnitude only and shape only cohorts, respectively.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-10-15
DOI
https://doi.org/10.1371/journal.pdig.0000628.s016
Primary Topic
Machine Learning and Data Classification
Type
article
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article

Difference in algorithm accuracies by cohort type and number of classes for BMI.

Figshare
Machine Learning and Data Classification
article

Difference in algorithm accuracies by cohort type and number of classes for BMI.

article en

Abstract

<p>Algorithm accuracies were compared using the Nemenyi tests in R mlr3benchmark package. Algorithms with similar accuracies are shown by the black bars in (A). (A) and (B) show the difference in median ARI between magnitude and shape cohorts. ΔARI>0 indicates higher median accuracies in shape cohorts than magnitude cohorts. ΔARI is stratified by number of classes in (A). (B) shows ΔARI for combinations of centroids and distance measures used. The annotations B, M, and S refer to the algorithm combination ranking higher in both, magnitude only and shape only cohorts, respectively.</p> <p>(DOCX)</p>

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Machine Learning and Data Classification
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