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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Vydané v:	Journal of property research Ročník 38; číslo 1; s. 48 - 70
Hlavní autori:	Ho, Winky K.O., Tang, Bo-Sin, Wong, Siu Wai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Routledge 02.01.2021 Taylor & Francis Ltd
Predmet:	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
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