Quantifying Evaluation Bias in Machine Learning Models for Concrete Compressive Strength: Mix-Level Replication in the Yeh Benchmark and Its Differential Effect on Model Comparison
The 1030-record dataset compiled by Yeh is the de facto benchmark of the concrete strength-prediction literature, and coefficients of determination reported on it routinely exceed 0.90. This study shows that part of that reported accuracy reflects the internal structure of the dataset rather than predictive capability....