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07051b9401
Adds PredictionConfidence (cohort size + per-component agreement = the modal value's share among neighbours that lodge one) and EpcPrediction.confidence(), a compute-only signal so downstream can flag low-confidence components (ADR-0029 open item: 'confidence signal'). Sanity check on the 40-postcode corpus (1068 component predictions): agreement is strongly predictive of correctness — pooled hit-rate 21.9% (<0.5) / 46.7% (0.5-0.7) / 73.6% (0.7-0.9) / 95.5% (>=0.9); point-biserial corr(agreement, correct) = 0.582. Cohort size tracks too (<6 -> 68.4%, >=20 -> 96.0%). Surfacing / persistence is a separate HITL follow-up. 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 | ||