What is Random Forest and how it works
1. Overview Random forest is a machine learning approach that utilizes many individual decision trees. In the tree-building process, the optimal split for each node is identified from a set of randomly chosen candidate variables. Besides their application to predict the outcome in classification and regression analyses, Random Forest can also be applied to select […]