Tree-based classification and regression
Tree-based methods, or decision tree methods, may be used for two broad types of problem – classification and regression. These methods may be appropriate when there are extensive data, and there is uncertainty about the form in which explanatory variables ought to enter into the model. They may be useful for initial data exploration. Tree-based methods have been especially popular in the data mining community.
Tree-structured classification has a long history in biology, where informal methods of dendrogram construction have been in use for centuries. Social scientists began automating tree-based procedures ...