1{"record_id": "8a99113b012c7dc5288863734eba9456a85fd906", "eligible": true, "short_ref": "Nor, Audu & Mohamed (2025a)", "country": "Somalia", "city": "Baidoa", "property_type": "residential properties", "price_type": "monthly rent", "n_obs": 90, "sample_period": null, "data_source": "local real estate agencies, government records and direct surveys (stratified random sample)", "methods_compared": ["OLS hedonic regression", "artificial neural network (MLP)"], "best_method": "OLS hedonic regression", "metric": "MAE", "best_value": 29.38, "hedonic_value": 29.38, "test_set": "unknown", "features_ai": "none", "incremental_ai_gain": null, "incremental_ai_metric": "", "marginal_effects": "coefficients", "notes": "Table 4 comparison: regression MSE 1507.13 / MAE 29 (29.38 in Table 2); ANN MSE 6920.83 / MAE 65.75 (ANN evaluated on a 60/25/15 train/test/validation split, Table 5). The regression metrics appear to be in-sample fit statistics (R2 0.96, adj. R2 0.92), so the two models are not clearly evaluated on the same test set; hedonic_value equals best_value because the hedonic model is the best-performing one. Sample size printed as 90 properties in the data section but Table 5 lists 70+30+18 = 118 samples. Rent currency not stated (likely USD). Marginal effects = regression coefficients.", "confidence": "low"}2