Random forest and gradient boosting algorithms, including XGBoost, have become dependable tools for analyzing biological data because they tolerate messy, mixed-type inputs without extensive ...

Researchers evaluated eight machine learning models on high-performance concrete mixtures, demonstrating that optimized ...