DeutschlandMachine Learning valuation II
Research project initiated by the HSLU and FPRE. Use and commercialization exclusively by FPRE.
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Project title
NISMO: Novel Interpretable Spatial Machine Learning for Hedonic Real Estate Modeling
Project goal
The aim of this project is to develop novel machine learning methods for hedonic real estate valuation. Promising machine learning algorithms are combined with spatial statistical models. The new method should be interpretable and scalable to large data sets and should be able to deal with additional restrictions of economic theory.
Time period
2022 until 2025
Research partners
Lucerne University of Applied Sciences and Arts
Publications
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Financing
