Articles | Volume 45
Adv. Geosci., 45, 377–382, 2018
https://doi.org/10.5194/adgeo-45-377-2018
Adv. Geosci., 45, 377–382, 2018
https://doi.org/10.5194/adgeo-45-377-2018

  29 Nov 2018

29 Nov 2018

Accuracy measurement of Random Forests and Linear Regression for mass appraisal models that estimate the prices of residential apartments in Nicosia, Cyprus

Thomas Dimopoulos et al.

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Short summary
The paper examines a machine learning algorithm (Random Forests) in comparison with Multivariate Linear Regression, for a data-set of 3500 transactions of residential apartments in Nicosia District in Cyprus. The methodology suggested, indicated high accuracy of the Random Forests Method, that can be applied in automated valuation models and CAMA systems.