Khalim Conn-Kowlessar ed96df9315 feat(epc-prediction): classify roof/floor/insulation/age categoricals (ADR-0029) ... 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>		2026-06-14 00:10:56 +00:00
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__init__.py	feat(epc-prediction): Comparable Properties selection ladder (ADR-0029)	2026-06-13 23:44:57 +00:00
comparable_properties.py	feat(epc-prediction): Comparable Properties selection ladder (ADR-0029)	2026-06-13 23:44:57 +00:00
epc_prediction.py	fix(epc-prediction): size-representative template selection (ADR-0029)	2026-06-14 00:05:40 +00:00
prediction_comparison.py	feat(epc-prediction): classify roof/floor/insulation/age categoricals (ADR-0029)	2026-06-14 00:10:56 +00:00