Random Forests provide deeper classification and better predictions Instead of creating a single decision tree, the Random Forest algorithm can create many individual trees from randomly selected ...

Random Forests can be applied to machine learning — for example, with autonomous cars, what decision process should the algorithm apply if it is about to crash in order to minimise damage, or risk of ...