Computationally Efficient Linear Regression Trees
Luís Torgo
2002
Abstract
This paper describes a method for obtaining regression trees using
linear regression models in the leaves in a computationally efficient
way that allows the use of this method on large data sets. This work
is focused on deriving a set of formulae with the goal of allowing an
efficient evaluation of all candidate tests that are considered during
tree growth.