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Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network

R. Abidoye, Albert Chan

2018.1.2Pacific Rim Property Research Journal

DOI: 10.1080/14445921.2018.1436306

tlooto Summary

The results showed that the ANN technique outperformed the HPM approach, in terms of accuracy in predicting property values with mean absolute percentage error (MAPE) values of 15.94 and 38.23%, respectively.

Abstract

Abstract is not available.

Citation format

ABIDOYE, R.; CHAN, Albert. Improving property valuation accuracy: A comparison of hedonic pricing model and artificial neural network. Pacific Rim Property Research Journal, 2018, 24: 71–83.