Each tree looks at distinct random areas of the data as well as their success are merged by voting for classification or averaging for regression. This allows in increasing accuracy and reducing errors. Reinforcement Learning (RL) is often a branch of machine learning that concentrates on how agents can learn https://rpa14788.yomoblog.com/43541642/the-fact-about-summit-that-no-one-is-suggesting