Reliable Compressive Strength Prediction of Self-Compacting Concrete with Recycled Coarse Aggregate Using an Interpretable Machine Learning Model (LightGBM) with Uncertainty Quantification
Machine learning is increasingly used to predict the compressive strength of self-compacting concrete with recycled coarse aggregate (SCRCAC), with coefficients of determination of 0.81–0.87 reported in the literature. This paper first shows that the widely used reference dataset of 603 mixtures contains only 504 uniqu...