Abstract:
Machine learning models require numerous training examples to provide reliable predictions of real estate prices. Expert algorithms could be applied wherever only several...Show MoreMetadata
Abstract:
Machine learning models require numerous training examples to provide reliable predictions of real estate prices. Expert algorithms could be applied wherever only several training samples are available. The accuracy of two expert algorithms based on the sales comparison approach was experimentally examined using real-world data derived from a cadastral system and registry of real estate transactions. The performance of the algorithms was compared with three data driven regression models for property valuation. Statistical analysis of the obtained results was conducted.
Published in: 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
Date of Conference: 03-05 July 2017
Date Added to IEEE Xplore: 07 August 2017
ISBN Information: