Bar Plot from Scientific Research

The performance of machine learning models in classifying participants reporting acute (light blue) and chronic (dark blue) pain from pain-free (n chronic = 2,679-42,985; n acute 1,012-16,259). Bars show mean test set ROC-AUC scores, with error bars indicating the 95% CI, estimated from 1,000 bootstrap samples over five iterations of fivefold CV (n = 25). Overlaid points correspond to AUC scores from individual validation folds (n = 25 points total). Also included are heritability estimates from GWAS for both acute and chronic pain types. These heritability estimates are significant according to a two-sided, FDR-corrected Wald Test (P FDR < 0.001 for both).

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