1{"record_id": "doi_10_1002_isaf_287", "eligible": true, "short_ref": "Kagie & van Wezel (2007)", "country": "Netherlands", "city": "Six submarkets: Groningen, Apeldoorn, Eindhoven, Amsterdam, Rotterdam, Zeeland", "property_type": "existing houses (all types, incl. apartments)", "price_type": "transaction price (EUR)", "n_obs": 27735,2 "sample_period": "2004", "data_source": "NVM (Dutch brokers association) transactions of existing houses, 83 explanatory variables (+ StatLine demographic data in extension)", "methods_compared": ["linear regression (untransformed OLS)", "CART", "LSBoost (boosted regression trees)", "LADBoost"],3 "best_method": "boosted regression trees (LSBoost/LADBoost, depth-5 trees)", "metric": "MAPE", "best_value": 9.38, "hedonic_value": null,4 "test_set": "holdout", "features_ai": "none",5 "incremental_ai_gain": null, "incremental_ai_metric": "", "marginal_effects": "PDP", "notes": "Metric printed as mean relative error (MRE, %) and MAE in EUR; values are averages over 100 random 90/10 train/test splits, reported per region (Table 3). Best_value = Amsterdam (largest region, n = 8,490): LADBoost MRE 9.38%, MAE 29,320 EUR, printed improvement vs linear regression 44.00% (MRE) and 32.84% (MAE); other regions: Groningen 11.32% (+32.01%), Apeldoorn 9.31%, Eindhoven 8.06%, Rotterdam 10.91%, Zeeland 14.83%, improvements 32-44% in MRE. Linear-regression totals per region are not printed (only per house type in Table 17), so hedonic_value is null. n_obs = sum of the six regional datasets (3387+2402+3730+8490+7510+2216). Interpretation via relative importance and partial dependence plots; adding demographic data improves MRE a further 4-9%. Working paper EI 2006-17, published 2007 in Intell. Syst. Account. Finance Manag.", "confidence": "medium"}6