# Idea Random forests are among the most powerful [[machine learning]] algorithms. They address the limitations of [[decision trees]] by averaging predictions over many trees ([[wisdom of crowds]]). Because it averages over many models/predictors (which are known as an ensemble), it is an [[ensemble method]]. See [[random forest algorithm]]. # References - [svms versus random forests](https://www.thekerneltrip.com/statistics/random-forest-vs-svm/) - [Random forest algorithm - Decision trees | Coursera](https://www.coursera.org/learn/advanced-learning-algorithms/lecture/7MtSD/random-forest-algorithm)