Which data analytics technique, originally developed for retail churn prediction, is now widely used by architectural firms to predict potential structural design failures before construction?

In architectural practice, data analytics has become a crucial tool for predicting potential design failures before construction begins. Modern architectural firms are increasingly employing advanced analytics to minimize risk and optimize building performance. This poll tests your knowledge of how architectural data analytics intersects with predictive modeling techniques borrowed from retail analytics to improve design outcomes and prevent costly errors.

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Gradient Boosting Decision Trees (GBDT) with material fatigue variables
Simple A/B testing of different material compositions
Basic regression analysis of historical building collapses
RFM (Recency-Frequency-Monetary) analysis of building components