Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari Italy

Three approaches of data-driven techniques hedonic price model, artificial neural networks and evolutionary polynomial regression have been applied to a sample of residential apartments recently sold in a district of the city of Bari Italy, in order to test the respective performance for mass appraisals.