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The comparison only scored main wall_construction; everything else the predictor produces (by template-copy) went unmeasured. Extend compare_prediction to the rest of the ADR-0029 homogeneous categoricals — wall insulation type, construction age band, roof construction, floor construction — and aggregate per-categorical classification rates in the runner. A categorical hit is "not applicable" (None, excluded from the denominator) when the actual lodges no value, so absent-roof flats don't score free wins. Smoke corpus (29 leave-one-out, all but wall are template-copied today): wall_construction 93.1% wall_insulation_type 93.1% construction_age_band 55.2% <- loud; candidate for cohort-mode roof_construction 72.4% floor_construction 46.2% (n=13) These numbers drive the next slice (extend cohort-mode coverage). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| conftest.py | ||
| test_lambda_packaging.py | ||