Predictability of Belgian residential real estate rents using tree-based ML models and IML techniques
Purpose The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear regression (LR) hedonic model for rent prediction. Second, it shows the added value of analyzing tree-based ML models with interpretable machine learning (IML) techniques. Design/methodology/approach Data on Belgian residential rental properties were collected. Tree-based ML models, random forest regression and eXtreme gradient boosting regression were applied to derive rent prediction models to compare predictive p... Mehr ...
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Dokumenttyp: | journalarticle |
Erscheinungsdatum: | 2023 |
Schlagwörter: | Business and Economics / General Economics / Econometrics and Finance / Rent prediction / Residential real estate / Machine learning / Black box / Interpretable machine learning / SHapley Additive exPlanations / MASS APPRAISAL |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26917080 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/01HHQGWGR372B5AP17MNYSHQ4T |