CULS Working Paper Series No. 01 (2021) Interpretable Machine Learning for Real Estate Market Analysis

While Machine Learning (ML) excels at predictive tasks, its inferential capacity is limited due to its complex non-parametric structure. This paper aims to elucidate the analytical behavior of ML through Interpretable Machine Learning (IML) in a real estate context.