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ed96df9315
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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| .. | ||
| addresses | ||
| billing | ||
| data_transformation | ||
| epc | ||
| epc_prediction | ||
| fuel_rates | ||
| geospatial | ||
| magicplan | ||
| modelling | ||
| property | ||
| property_baseline | ||
| sap10_calculator | ||
| sap10_ml | ||
| tasks | ||
| building_geometry.py | ||
| postcode.py | ||