C&RT

On the Model building tab, select the C&RT check box and click the C&RT button to display this dialog box.

Element Name	Description
Stopping option for pruning	Specifies the stopping rule for the pruning computations. You can choose Misclassification error, Deviance, or FACT style direct stopping.
Minimum n per node	Specifies a minimum n per node when pruning must begin; this value controls when split selection stops and pruning begins.
Minimum child node size to stop	Use this option to control the smallest permissible number in a child node for a split to be applied. While the Minimum n per node parameter determines whether an additional split is considered at any particular node, the Minimum child node size to stop parameter determines whether a split is applied, depending on whether any of the two resultant child nodes are smaller (have fewer cases) than n as specified via this option.
Maximum number of nodes	Use this option to control the maximum number of nodes.
Maximum number of levels is tree	Use this option to control the maximum number of levels in the tree.
V-fold cross-validation	Performs V-fold cross-validation of the final tree. In V-fold cross-validation, random samples are generated from the learning sample to provide an estimate of the CV cost for each classification tree in the tree sequence. Note: In data mining applications with large data sets, V-fold cross-validation might require significant computing time. You can select True or False.
Prior class probabilities	Specifies how to determine the a-priori classification probabilities. You can set them equal or estimate them.