A data-driven approach to building design and contract pricing using explainable machine learning
This study aims to quantify architectural design features and predict and explain their relationship with contract prices. This work focuses on the random forest algorithm, one of the machine learning algorithms. This algorithm is enhanced through parameter optimizations and compared with Shapley Additive Explanations...