Why Random Forests Dominate: Insights From The University Of Cambridge’s Groundbreaking Machine Learning Research!

This article discusses the effectiveness of tree ensembles, such as random forests, in machine learning. Researchers from the University of Cambridge explain the mechanisms behind their success, highlighting their adaptability and integration of randomness in tree construction. The empirical analysis shows how ensembles significantly reduce prediction variance and outperform individual decision trees.