1{"record_id": "321664826269788c8435ead0315a2539fb9837f3", "eligible": true, "short_ref": "Sa'at, Adi Maimun & Idris (2021)", "country": "Malaysia", "city": "Johor Bahru", "property_type": "houses (landed residential, four mukims)", "price_type": "transaction price (RM)", "n_obs": 3732,2 "sample_period": "2009-2018", "data_source": "Valuation and Property Services Department (JPPH) Johor Bahru sales transactions", "methods_compared": ["hedonic price model (OLS)", "ANN (feed-forward backpropagation, SPSS)"],3 "best_method": "ANN (one hidden layer, sigmoid activation)", "metric": "RMSE", "best_value": 0.0047, "hedonic_value": 0.049,4 "test_set": "unknown", "features_ai": "none",5 "incremental_ai_gain": null, "incremental_ai_metric": "", "marginal_effects": "none", "notes": "Table 3: HPM MSE 0.0024 / RMSE 0.0490 vs ANN MSE 0.0020 / RMSE 0.0047 (units not stated; apparently a normalized/log scale, and MSE-RMSE pairs are internally inconsistent). Data split 60/30/10 train/test/validation for the ANN but it is not stated on which subset Table 3 is computed. Table 4 compares forecasts for ten 2018 transactions (errors in %), with 2009-2017 used for fitting. No coefficients or importance reported for either model in the text available. Low confidence given reporting quality.", "confidence": "low"}6