bot-backend
86cb294949
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Гейт `test_backtest_regression_gate` реплеит замороженную фикстуру (277 сделок) прямо через `_price_from_inputs` с `target_house_cadnum=None`, минуя `estimate_quality`. То есть на фикстуре меряется ровно снятие поправки по кварталу СОСЕДА (координатный резолв в реплей не попадает — его делает вызывающий код). Затронуто 30 сделок из 277 (10.8% — сходится с прод-оценкой поверхности ~10%); множитель цены стало/было: min 0.704, медиана 1.019, max 1.661 (17 вверх / 13 вниз). Сдвиг метрик (эталон → стало): expected_sold.overall.mape_pct 13.18 → 12.63 (−0.55) calibration.low.mape_pct 13.2 → 12.67 (−0.53) студии mape 19.38 → 16.96 (−2.42) 3к mape 9.34 → 7.79 (−1.55) 2к mape 18.26 → 17.39 (−0.87) комфорт mape 11.80 → 10.14 (−1.66) бизнес mape 14.65 → 13.65 (−1.00) УХУДШИЛОСЬ: эконом mape 13.71 → 14.20 (+0.49), bias 2.54 → 3.33 4+ mape 16.30 → 16.38 (+0.08), bias 3.34 → −1.32 хвосты: студии p75 34.32 → 38.82, бизнес p25 −22.93 → −27.15 Покрытие (82.09/82.16), sharpness (0.743), n по всем бакетам и headline не менялись. Атрибуция: на origin/main регенерация тем же путём даёт эталон байт-в-байт, расхождение появляется ровно от правки резолва квартала.
154 lines
3 KiB
JSON
154 lines
3 KiB
JSON
{
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"calibration": {
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"high": {
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"coverage_pct": null,
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"mape_pct": null,
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"n": 0,
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"n_covered": 0
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},
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"low": {
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"coverage_pct": 82.09,
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"mape_pct": 12.67,
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"n": 276,
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"n_covered": 220
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},
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"medium": {
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"coverage_pct": 100.0,
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"mape_pct": 6.99,
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"n": 1,
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"n_covered": 1
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}
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},
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"confidence_order": [
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"high",
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"medium",
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"low"
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],
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"expected_sold": {
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"overall": {
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"mape_pct": 12.63,
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"median_bias_pct": -3.74,
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"n": 269,
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"n_no_analogs": 0,
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"p25_pct": -15.17,
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"p75_pct": 8.67
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},
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"per_rooms": {
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"0": {
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"label": "студия",
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"mape_pct": 16.96,
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"median_bias_pct": 16.96,
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"n": 35,
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"n_no_analogs": 0,
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"p25_pct": 1.5,
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"p75_pct": 38.82
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},
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"1": {
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"label": "1к",
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"mape_pct": 11.06,
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"median_bias_pct": -4.61,
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"n": 93,
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"n_no_analogs": 0,
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"p25_pct": -14.43,
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"p75_pct": 8.15
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},
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"2": {
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"label": "2к",
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"mape_pct": 17.39,
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"median_bias_pct": -11.71,
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"n": 74,
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"n_no_analogs": 0,
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"p25_pct": -23.07,
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"p75_pct": -0.36
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},
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"3": {
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"label": "3к",
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"mape_pct": 7.79,
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"median_bias_pct": -4.05,
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"n": 43,
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"n_no_analogs": 0,
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"p25_pct": -10.26,
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"p75_pct": 3.82
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},
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"4": {
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"label": "4+",
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"mape_pct": 16.38,
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"median_bias_pct": -1.32,
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"n": 24,
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"n_no_analogs": 0,
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"p25_pct": -14.91,
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"p75_pct": 15.41
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}
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},
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"per_segment": {
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"бизнес": {
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"mape_pct": 13.65,
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"median_bias_pct": -10.54,
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"n": 46,
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"p25_pct": -27.15,
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"p75_pct": -1.31
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},
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"комфорт": {
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"mape_pct": 10.14,
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"median_bias_pct": -5.01,
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"n": 101,
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"p25_pct": -15.49,
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"p75_pct": 4.37
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},
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"премиум": {
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"mape_pct": 68.92,
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"median_bias_pct": -68.92,
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"n": 1,
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"p25_pct": -68.92,
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"p75_pct": -68.92
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},
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"эконом": {
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"mape_pct": 14.2,
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"median_bias_pct": 3.33,
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"n": 115,
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"p25_pct": -8.69,
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"p75_pct": 27.3
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},
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"элит": {
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"mape_pct": 33.2,
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"median_bias_pct": -33.2,
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"n": 6,
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"p25_pct": -42.75,
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"p75_pct": -22.4
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}
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}
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},
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"headline": {
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"ask_median_ppm2": 145883.6593586467,
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"deal_median_ppm2": 125063.0,
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"spread_pct": 16.65
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},
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"range_coverage": {
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"overall": {
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"coverage_pct": 82.16,
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"n": 269,
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"n_covered": 221
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},
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"per_confidence": {
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"high": {
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"coverage_pct": null,
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"n": 0,
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"n_covered": 0
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},
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"low": {
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"coverage_pct": 82.09,
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"n": 268,
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"n_covered": 220
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},
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"medium": {
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"coverage_pct": 100.0,
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"n": 1,
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"n_covered": 1
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}
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}
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},
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"sharpness": {
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"median_rel_width": 0.743,
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"n": 269
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}
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}
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