Predicting property prices with machine learning algorithms

This study uses three machine learning algorithms including, support vector machine (SVM), random forest (RF) and gradient boosting machine (GBM) in the appraisal of property prices. It applies these methods to examine a data sample of about 40,000 housing transactions in a period of over 18 years i...

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Bibliographic Details

Published in:	Journal of property research Vol. 38; no. 1; pp. 48 - 70
Main Authors:	Ho, Winky K.O., Tang, Bo-Sin, Wong, Siu Wai
Format:	Journal Article
Language:	English
Published:	Abingdon Routledge 02.01.2021 Taylor & Francis Ltd
Subjects:	Algorithms GBM Learning algorithms Machine learning Machine Learning algorithms Performance measurement property valuation Root-mean-square errors Support vector machines SVM
ISSN:	0959-9916, 1466-4453
Online Access:	Get full text
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