Each individual tree appears to be at distinctive random elements of the data as well as their outcomes are mixed by voting for classification or averaging for regression. This assists in bettering accuracy and cutting down mistakes. Dimensionality reduction is used to simplify datasets by minimizing the amount of attributes https://cristianwfmub.blogmazing.com/35768747/the-best-side-of-scalable-operations