Cv multilabel cooccurrence correlation eda
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- **wenmin-wu/cv-multilabel-cooccurrence-correlation-eda**: For multi-label classification, compute the per-class binary correlation matrix restricted to multi-label rows and the conditional class counts given a rare anchor class — reveals label groupings the model can exploit (shared classifier heads, hierarchical loss weighting, post-hoc consistency rules) Read `references/wenmin-wu/skills/cv/multilabel-cooccurrence-correlation-eda/SKILL.md`.
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