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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Comparison of Ensemble Learning Models with Expert Algorithms Designed for a Property Valuation System

verfasst von : Bogdan Trawiński, Tadeusz Lasota, Olgierd Kempa, Zbigniew Telec, Marcin Kutrzyński

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

Three expert algorithms based on the sales comparison approach worked out for an automated system to aid in real estate appraisal are presented in the paper. Ensemble machine learning models and expert algorithms for real estate appraisal were compared empirically in terms of their accuracy. The evaluation experiments were conducted using real-world data acquired from a cadastral system maintained in a big city in Poland. The characteristics of applied techniques for real estate appraisal are discussed.

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Metadaten
Titel
Comparison of Ensemble Learning Models with Expert Algorithms Designed for a Property Valuation System
verfasst von
Bogdan Trawiński
Tadeusz Lasota
Olgierd Kempa
Zbigniew Telec
Marcin Kutrzyński
Copyright-Jahr
2017
Buch
Computational Collective Intelligence

Print ISBN: 978-3-319-67073-7

Electronic ISBN: 978-3-319-67074-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-67074-4_31