MARS (Multivariate Adaptive Regression Splines) is an innovative and flexible modeling tool that automates the building of accurate predictive models for continousand binary dependent variables. It excels at finding optimal variable transformations and potential interaction within any regression -based modeling solutions and easily handles the complex data structure that often hides in high dimensional data.

This new approach to regression modeling effectively uncovers important data patterns and relationships that are difficult, if not impossible, for other methods to reveal.

Although regression is one of the most widely used tools in statistical analysis, it is rarely used in data mining. Nevertheless, a well-crafted regression model can be ideal for predictive modeling and data mining. It can be used in Lean Six Sigma projects for continuous improvement programs where there are a large variety of  attributes.