Geographically weighted gradient boosting brings location into machine learning by allowing relationships to vary across space rather than assuming the same model applies everywhere. This advanced session explores how the approach works, why spatial variation matters in mass appraisal, and what real-world case studies can teach us about building and interpreting locally responsive valuation models.
Luke Jorgensen, Mass Valuation Machine Learning Specialist, Thimgan & Associates
