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65cb094abe
Make the leave-one-out runner ADR-0030-compliant: - Hold out only SAP 10.2 targets (sap_version == 10.2) — the source cohort keeps every vintage (components are methodology-agnostic). - Label Component Accuracy as the PRIMARY, calculator-independent section. - End-to-end vs API-lodged (SECONDARY, calculator-FLOORED): add CO2 (tonnes) and PEI (kWh/m2) alongside SAP, using the canonical performance.py mapping (co2_kg/1000; primary_energy_kwh_per_m2). - Add the attribution readout calc(actual) vs lodged SAP — the calculator floor the end-to-end can reach. - Drop the neighbour-mean-of-lodged-SAP baseline (mixes SAP versions — rejected by ADR-0030). On the 181 SAP-10.2 targets: component rates are higher than the all-vintage view (age band 60.9 -> 78.5%, floor_area mean|.| 12.7 -> 8.4). End-to-end SAP MAE 6.34 vs the calc(actual) floor of 3.25 — ~half the gap is the known API-path calculator residual, not prediction error. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| eon | ||
| analyse_api_sap_clusters.py | ||
| decompose_api_cost_error.py | ||
| download_cotality_evidence.py | ||
| elmhurst_input_sheet.py | ||
| eval_api_sap_accuracy.py | ||
| fetch_2026_epc_sample.py | ||
| fetch_cohort2_api_jsons.py | ||
| fetch_epc_bulk_sample.py | ||
| fetch_epc_dump.py | ||
| fetch_epc_prediction_corpus.py | ||
| historic_epc_demo.py | ||
| init_db.py | ||
| profile_api_error.py | ||
| rename_sharepoint_files.py | ||
| run_audit_generator_local.py | ||
| run_modelling_cohort.py | ||
| run_modelling_e2e.py | ||
| run_property_report.py | ||
| sero_address_list.csv | ||
| validate_epc_prediction.py | ||