1{"record_id": "33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a", "eligible": true, "short_ref": "Embaye, Zereyesus & Chen (2021)", "country": "Uganda, Tanzania, Malawi", "city": null, "property_type": "dwellings of rented households in household surveys", "price_type": "rent (monthly rental value, USD at 2012 prices)", "n_obs": 4882,2 "sample_period": "Uganda 2010 & 2012; Tanzania 2014 & 2016; Malawi 2014 & 2016", "data_source": "World Bank LSMS-ISA household surveys", "methods_compared": ["OLS hedonic", "OLS with spatial lag (SAR)", "OLS with spatial error (SEM)", "ridge", "LASSO", "regression tree", "bagging", "random forest", "boosting"],3 "best_method": "boosting", "metric": "other", "best_value": 0.85, "hedonic_value": 1.0,4 "test_set": "k-fold", "features_ai": "none",5 "incremental_ai_gain": null, "incremental_ai_metric": "", "marginal_effects": "coefficients", "notes": "Metric = out-of-sample MSE standardized so that OLS = 1.00 (Tables 9-11). Boosting beats OLS in all six country-years: ratios 0.87/0.88/0.96/0.95/0.86/0.91 with SAR (Table 9) and 0.88/0.85/0.96/0.96/0.87/0.91 without spatial terms (Table 11); best_value = 0.85 is the lowest printed Boosting ratio (Uganda 2012, Table 11), the range is 0.85-0.96. Random forest 0.80-1.00, bagging 0.78-1.28, tree worst (up to 1.60). n_obs = sum of the six samples (242+263+873+1,363+662+1,479). Out-of-sample predictions rely on K-fold cross-validation (fold number not stated), coded k-fold. OLS/LASSO/ridge coefficients reported (Tables 2-4) plus tree-ensemble variable importance.", "confidence": "medium"}6