Andrés J. Prieto

Near-Term Performance Early Warning in Building Projects Using XGBoost and Earned Value Metrics

Abstract Machine learning can contribute to more proactive, data-driven construction project management. However, most research efforts have focused on predicting final project outcomes, which may miss short-term variations that reveal emerging risks, thereby limiting the utility...