{
 "record_id": "fe9b5a96e7007d52e9bebe9eaea418541aa3b090",
 "eligible": true,
 "short_ref": "Tajani, Di Liddo, Ranieri & Anelli (2021)",
 "country": "Italy",
 "city": "Milan, Turin, Rome, Naples, Catania (five separate samples)",
 "property_type": "residential units (rented)",
 "price_type": "rent (EUR per m2 per month)",
 "n_obs": 1100,
 "sample_period": "second half of 2019",
 "data_source": "rented properties collected with local market operators and real estate agents (220 per city)",
 "methods_compared": [
  "evolutionary polynomial regression (EPR, genetic-algorithm AVM)"
 ],
 "best_method": "evolutionary polynomial regression (EPR)",
 "metric": "R2",
 "best_value": 0.8869,
 "hedonic_value": null,
 "test_set": "k-fold",
 "features_ai": "none",
 "incremental_ai_gain": null,
 "incremental_ai_metric": "",
 "marginal_effects": "coefficients",
 "notes": "Single-method AVM (genetic-programming polynomial regression) estimated city by city; n_obs = 5 x 220. Coefficient of determination printed per city: Milan 88.69%, Turin 79.31%, Rome 86.87%, Naples 74.92%, Catania 67.06% (average about 80%); best_value is the Milan model. RMSE/MAPE/MaxAPE are mentioned but their values are not printed in the text layer; a ten-fold cross-validation is said to confirm stability without printed CV metrics. Marginal contributions derived from the polynomial terms (percentage variation of rent per variable).",
 "confidence": "medium"
}