Price Prediction and Determination of the Affecting Variables of the Real Estate by Using X-Means Clustering and CART Decision Trees

Basit Öğe Kaydı
dc.authoridLevent Genç / 0000-0002-0074-0987
dc.authoridYücebaş, Sait Can / 0000-0002-1030-3545
dc.contributor.authorYücebaş, Sait Can
dc.contributor.authorYalpir, Şükran
dc.contributor.authorGenç, Levent
dc.contributor.authorDoğan, Melike
dc.date.accessioned2025-01-27T20:12:11Z
dc.date.available2025-01-27T20:12:11Z
dc.date.issued2024
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe use of machine learning in real estate is quite new. When the working area is large, the factors affecting the price may vary according to the geographical regions and socioeconomic factors. It is thought that the price prediction performance of a model that will reflect these differences will be more successful than a general model. Unsupervised learning methods can be used both to increase performance and to show the variation of different factors affecting the price according to regions. With this aim, a hybrid model of X -Means clustering and CART decision trees was established in this study. This model successfully learned the geographical and physical variables that affect the price. The prediction performance of the model was compared with the direct capitalization method, which is the gold standard in the domain. The hybrid model has a superior performance over direct capitalization in terms of mean square error, root mean square error and adjusted R -Squared metrics. The scores were 72.86, 0.0057 and 0.978, respectively. The effect of clustering was also examined. Clustering increased the prediction performance by 36%.
dc.identifier.doi10.3897/jucs.98733
dc.identifier.endpage560
dc.identifier.issn0948-695X
dc.identifier.issn0948-6968
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85193003918
dc.identifier.scopusqualityQ3
dc.identifier.startpage531
dc.identifier.urihttps://doi.org/10.3897/jucs.98733
dc.identifier.urihttps://hdl.handle.net/20.500.12428/20871
dc.identifier.volume30
dc.identifier.wosWOS:001237071800004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGraz Univ Technolgoy, Inst Information Systems Computer Media-Iicm
dc.relation.ispartofJournal of Universal Computer Science
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectMachine learning
dc.subjectClassification and regression tree
dc.subjectX-Means clustering
dc.subjectprediction methods
dc.subjectReal estate
dc.titlePrice Prediction and Determination of the Affecting Variables of the Real Estate by Using X-Means Clustering and CART Decision Trees
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu