Machine Learning valuation II

Research project initiated by the HSLU and FPRE. Use and commercialization exclusively by FPRE.

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




Innosuisse – Schweizerische Agentur für Innovationsförderung