Enhancing Property Valuation with Explainable AI and AI-Driven Comparable Ranking
Presentation Category
04 APPRAISING PROPERTY
General Session Description
This session presents a hybrid valuation framework, combining machine learning based price estimation and AI-enhanced comparable analysis. Explainable AI techniques such as SHAP and Individual Conditional Expectation (ICE) improve model transparency, while a Ranker Machine Learning AI approach refines comparable selection, strengthening both interpretability and practical valuation reliability.
Audience Expertise
General Interest (Appropriate for all experience level)
Location
Macleod E1
Start Date
10-15-2026 3:30 PM
End Date
10-15-2026 4:30 PM
Enhancing Property Valuation with Explainable AI and AI-Driven Comparable Ranking
Macleod E1
This session presents a hybrid valuation framework, combining machine learning based price estimation and AI-enhanced comparable analysis. Explainable AI techniques such as SHAP and Individual Conditional Expectation (ICE) improve model transparency, while a Ranker Machine Learning AI approach refines comparable selection, strengthening both interpretability and practical valuation reliability.