From Raw Acoustics to Predictive Insights: Modeling Comfort in Architectural Spaces
Introduction In this blog, we walk through the complete data science process applied to a unique challenge: predicting the acoustic comfort index of apartment units based on architectural and environmental features. This includes data preprocessing, feature engineering, model training, interpretation, and tuning—with tools like XGBoost, Neural Networks, and SHAP for explainability. The workflow is split … Read more
