Specify the default methods for Discover Best Model (Continuous Response). The changes you make to the defaults remain until you change them again, even after you exit Minitab.

Choose the criterion to determine the best type of model. You can compare the results from several methods to determine the best choice for your application.

- Maximum R-squared
- The maximum R
^{2}method works well across many applications. This method minimizes the sum of the squared errors. - Minimum mean absolute deviation
- This method minimizes the sum of absolute values of errors.

Choose one of the following to limit the size of the trees.

- Maximum terminal nodes per tree: Enter a value between 2 and 2000 to represent the maximum number of terminal nodes of a tree. Usually, a value of 6 provides a good balance between calculation speed and the investigation of interactions among variables. A value of 2 eliminates the investigation of interactions.
- Maximum tree depth: Enter a value between 2 and 1000 to represent the maximum depth of a tree. The root node corresponds to a depth of 1. In many applications, depths from 4 to 6 give reasonably good models.