docs: correct COMPAS reduction figure repo-wide (71% -> 82%) + Benefits Denial proxy count - #558
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…ts Denial proxy count yakew7#545: the COMPAS "Reduction" figure was the raw percentage-point gap (86.77 - 15.69 = 71.08 -> "71%"), not the relative reduction every other audit reports: (86.77 - 15.69) / 86.77 = 81.9% -> "82%" The other six audits' rows all check out against the relative formula (97.3%, 73.6%, ~60%, ~72%, 53%). "71%" was COMPAS's number not just in the two summary tables but in nine explainers and CHANGELOG.md, so fixing only the tables would have left the repo internally inconsistent. Updated every "71% reduction" / "71% of the gap" COMPAS reference in source (COMPAS/README.md, root README.md x3, CHANGELOG.md, PULL_REQUEST_TEMPLATE.md example, and explainers ai-objectivity-myth, confounding-variable, data-leakage, equalized-odds, how-ai-detects-patterns, ml-bias, proxy-variables, reinforcement-learning) and regenerated the explainer pages / package mirror / llms-full.txt. The underlying gap numbers (86.77%, 15.69%) are unchanged. yakew7#546: Benefits Denial's audit.yaml lists five proxy_features (marital.status, occupation, relationship, hours.per.week, fnlwgt) and fair.py removes all five with documented reasoning, but both READMEs listed only four. Added fnlwgt to Benefits Denial/README.md and the root README (summary row, the "four proxy variables" -> "five" counts, and the fair.py code-block comment list). Closes yakew7#545 Closes yakew7#546
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Two Results-at-a-Glance inaccuracies, one of which turned out to be repo-wide.
#545 - COMPAS "Reduction" uses the wrong formula (repo-wide)
Every audit's "Reduction" column is a relative reduction,
(before - after) / before. COMPAS's alone was the raw point gap:The other rows all verify against the relative formula (97.3%, 73.6%, ~60%, ~72%, 53%). The issue names the two summary tables, but
grepshows "71% reduction" (and "71% of the gap") is COMPAS's number in 9 explainers + CHANGELOG.md too, so fixing only the tables would make the repo more inconsistent. This PR corrects every source reference and regenerates the explainer pages /faircode/_explainers/mirror /llms-full.txt:COMPAS/README.md, rootREADME.md(summary row + "Result: N% reduction" line)CHANGELOG.md,.github/PULL_REQUEST_TEMPLATE.md(example hint)ai-objectivity-myth,confounding-variable(×3),data-leakage,equalized-odds,how-ai-detects-patterns,ml-bias,proxy-variables(×2),reinforcement-learning(×3)The underlying gap numbers (
86.77%,15.69%) are untouched - only the derived reduction % changes. This was understating COMPAS's mitigation effectiveness.#546 - Benefits Denial README omits
fnlwgtfrom the proxy listaudit.yamlproxy_featureshas five entries (marital.status,occupation,relationship,hours.per.week,fnlwgt);fair.pyremoves all five with its own documented reasoning. Both READMEs listed four. AddedfnlwgttoBenefits Denial/README.md, the root README summary row, the "four proxy variables" -> "five" counts (2 spots), and a# fnlwgt removedline in thefair.pycode-block comment.Checks
check_em_dash.py,check_broken_links.py,check_generated_files_current.pyall pass.Closes #545
Closes #546