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Interpretable machine learning for real estate market analysis

URN to cite this document:
urn:nbn:de:bvb:355-epub-540745
DOI to cite this document:
10.5283/epub.54074
Lorenz, Felix ; Willwersch, Jonas ; Cajias, Marcelo ; Fuerst, Franz
Date of publication of this fulltext: 18 Apr 2023 04:45

This publication is part of the DEAL contract with Wiley.


Abstract

Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out-of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML). Specifically, we compare a hedonic ML approach to a set of model-agnostic interpretation methods. Our results ...

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