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The normalization used an unreachable all-POI-at-0m maximum, compressing real scores into ~0.975-0.98 so every address read as "location reduces value". Normalize against a realistic reference distance instead; strong central ~ 1.0, poor locations stay below. Informational only (estimator does not use it). Kept the uncalibrated-heuristic caveat. LOW audit R2 (#7a). |
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| .. | ||
| scrapers | ||
| __init__.py | ||
| test_cadastral_reverse.py | ||
| test_dadata.py | ||
| test_estimator_precision.py | ||
| test_image_sanitizer.py | ||
| test_location_coef.py | ||
| test_proxy_pool.py | ||
| test_trade_in_pdf_dual_price.py | ||