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https://hdl.handle.net/20.500.14279/13411
Τίτλος: | Accuracy measurement of Random Forests and Linear Regression for mass appraisal models that estimate the prices of residential apartments in Nicosia, Cyprus | Συγγραφείς: | Dimopoulos, Thomas Tyralis, Hristos Bakas, Nikolaos P. Hadjimitsis, Diofantos G. |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Λέξεις-κλειδιά: | Accuracy assessment;Machine learning;Numerical model;Price determination;Regression analysis;Urban housing | Ημερομηνία Έκδοσης: | 29-Νοε-2018 | Πηγή: | Advances in Geosciences, 2018, Vol. 45, pp. 377-382 | Volume: | 45 | Start page: | 377 | End page: | 382 | Περιοδικό: | Advances in Geosciences | Περίληψη: | The purpose of this article is to examine the prediction accuracy of the Random Forests, a machine learning method, when it is applied for residential mass appraisals in the city of Nicosia, Cyprus. The analysis is performed using transaction sales data from the Cyprus Department of Lands and Surveys, the Consumer Price Index of Cyprus from the Cyprus Statistical Service and the Central Bank of Cyprus' Residential Index (Price index for apartments). The Consumer Price Index and the price index for apartments record quarterly price changes, while the dependent variables for the computational models were the Declared and the Accepted Prices that were conditional on observed values of a variety of independent variables. The Random Forests method exhibited enhanced prediction accuracy, especially for the models that comprised of a sufficient number of independent variables, indicating the method as prominent, although it has not yet been utilized adequately for mass appraisals. | ISSN: | 16807340 | DOI: | 10.5194/adgeo-45-377-2018 | Rights: | © Author(s). | Type: | Article | Affiliation: | Neapolis University Pafos Cyprus University of Technology Hellenic Air Force |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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adgeo-45-377-2018.pdf | Fulltext | 1.73 MB | Adobe PDF | Δείτε/ Ανοίξτε |
adgeo-45-377-2018-supplement.pdf | Supplement | 603.74 kB | Adobe PDF | Δείτε/ Ανοίξτε |
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