Why a random train/test split flatters concrete-strength models (and what we did instead)
Predicting the compressive strength of concrete from its mix is one of the most popular machine-learning exercises in civil engineering. Most published models report an R² above 0.9. We rebuilt the problem from scratch and found that how you split the data matters as much as which model you pick .…
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- 2026-11-14 15:26 · DEV Community — Machine Learning
Why a random train/test split flatters concrete-strength models (and what we did instead)