{"record_id": "7b29c36e620db272e042f7b9f343c676a2038678", "eligible": true, "short_ref": "Lorenz, Willwersch, Cajias & Fuerst (2022)", "country": "Germany", "city": "Frankfurt am Main", "property_type": "apartments (rental listings)", "price_type": "asking rent", "n_obs": 52966,
 "sample_period": "2013-2019", "data_source": "Empirica Systeme residential rental listings", "methods_compared": ["OLS hedonic", "SAR", "GAM", "XGBoost"],
 "best_method": "XGBoost", "metric": "R2", "best_value": 0.925, "hedonic_value": null,
 "test_set": "k-fold", "features_ai": "none",
 "incremental_ai_gain": null, "incremental_ai_metric": "", "marginal_effects": "PDP", "notes": "XGB tuned with 5-fold, 5-repetition random CV; 'out of sample rental prediction with XGB yields a R2 of 92.50%', MAPE 11.13%. OLS adjusted R2 0.880, SAR R2 0.885, GAM 0.898 are in-sample fits (Table 2), not on the same test set, so hedonic_value left null (paper itself claims an increase of 'up to 4.50 percentage points'). Interpretability via permutation feature importance, PD plots, ALE plots and interaction (H-statistic) analysis; OLS/SAR/GAM coefficients also reported.", "confidence": "high"}