Determining Best Split
When you already know what the target assignment is and want to edit the tree so it matches this target, you can use target variable and the best split functions. After the tree is created and you select Best Split,
Xpress Insight takes the values from the decision tree settings to decide when to stop searching for the optimal split. The resulting list of predictors, sorted by gain in purity, helps inform your decisions about the predictors you want to insert in your decision tree.
All data items that have the role
Possible tree variable and are classified as categorical can be used as target.
- You can explore a best split by clicking on the button
or you directly apply the split suggestion 
to the selected node.
If you chose to explore the best split, a dialog box opens with the values retrieved from the best split algorithm. You can edit the split values before using them in your tree.
Best split suggestion for target, TreatmentID