Читать книгу Advanced Analytics and Deep Learning Models - Группа авторов - Страница 46

The Random Forest is a pliable and easy-to-use machine that produces good results most of the time with less time spent on hyperparameter setting. It has gained popularity because of its simplicity and the fact that it is use for split and reverse functions. Random forests are an amalgam of predictable trees in such a way that each tree is based on random vector values sampled independently and with the same distribution of all the trees in the forest. The general deforestation error changes as the limit of the number of trees in the forest grows.