VALUING INDUSTRIAL REAL ESTATE IN UZBEKISTAN: A COMPARATIVE ASSESSMENT OF ECONOMETRIC AND MACHINE LEARNING MODELS
DOI:
https://doi.org/10.5281/zenodo.23312331Abstract
This study compares econometric and machine learning models for industrial real estate valuation in Uzbekistan. OLS, Random Forest, and ANN models were evaluated using RMSE, MAE, MAPE, and R². The results show higher predictive accuracy of machine learning models, with ANN achieving the best performance. Infrastructure quality, location, and property characteristics were identified as key determinants of value.Keywords
industrial real estate, property valuation, machine learning, automated valuation models, emerging economies, UzbekistanReferences
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