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275a30a825
Finish the ADR-0030 Component Accuracy set: roof insulation thickness, floor insulation, room-in-roof presence, modal glazing type, PV presence, solar water heating (categoricals) + door count (residual). Presence flags (room-in-roof, PV, solar) are always-applicable — predicting absence when present is a real miss. Template-copied baseline (40-postcode corpus), newly visible: floor_insulation 94.0% solar_water_heating 99.7% has_pv 98.6% has_room_in_roof 91.9% modal_glazing_type 59.0% <- weak roof_insulation_thickness 30.6% <- weak door_count mean|.| 0.40 compare_prediction now scores 19 categoricals + 5 residuals across every SAP-load-bearing component group. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| addresses | ||
| billing | ||
| epc_prediction | ||
| fuel_rates | ||
| magicplan | ||
| modelling | ||
| property | ||
| property_baseline | ||
| sap10_calculator | ||
| tasks | ||
| __init__.py | ||
| test_building_geometry.py | ||
| test_postcode.py | ||