Before revision:  Our approach utilizes oblique Decision Trees in order to recursively partition an application's configuration space in disjoint regions, choose a set of representative samples from each subregion according to a defined policy and returns a model for the entire configuration space as a composition of linear models over each subregion.
After revision:  Our approach utilizes oblique Decision Trees in order to recursively partition an application's configuration space in disjoint regions, choose a set of representative samples from each subregion according to a defined policy and return a model for the entire configuration space as a composition of linear models over each subregion.