Use this to select different options to be used in constructing Classification Trees.
Display
Specifies which items of output are to be displayed in the Output window.
| Brackets | Display as used to represent an identification key in “bracketed” form (printed node by node) |
| Details | Gives detailed information about the nodes of the tree |
| Graph | Plots the tree |
| Indented | Display as used to represent an identification key in “indented” form (printed branch by branch) |
| Labelled diagram | Diagrammatic display including the node labels |
| Numbered diagram | Diagrammatic display with the nodes labelled by their numbers |
| Summary | Summary of the properties of the tree |
| Monitoring | Information monitoring the construction process |
Number of individuals to stop splitting.
Specifies the limit on the number of individuals in a group at which to stop selecting tests.
X-variable factor levels ordered
Specifies whether the x-variable factor levels are ordered.
Method
The effectiveness of a factor or variate to be chosen at each node depends on how the groups are split between remaining subsets. This option lets you choose the method to assess this. You can select either the Gini information criterion or the Mean posterior improvement criterion.
Anti-end-cut factor
Controls whether anti-end-cut factors are used.
See also
- Classification Trees menu.
- Classification Trees Options dialog.
- Trees Further Output dialog.
- Tree Prune menu.
- Classification Tree Identifications dialog.
- Random Classification Forest menu.
- BCLASSIFICATION procedure.