Researchers Gulala Aziz and Adam Hardy present a study leveraging machine learning to predict damp risk in English housing. Using explainable AI and SHAP analysis, the paper uncovers the interplay between insulation quality, heating costs, and energy efficiency—paving the way for proactive housing maintenance through balanced data analysis.
Q&A
- What is explainable AI in this study?
- How does this model affect housing management?
- Why is balanced data crucial for prediction?