Decision Tree Options
There are two kinds of options for a Decision Tree model:
When you are done, click OK to close the dialog and save any changes.
General Options
These options apply to any algorithm that has a target. You can specify:
- Accuracy Type: Either Maximum Overall Accuracy, the default, or Maximum Average Accuracy.
- Target Value: Either no preferred target value or a preferred target value. If there is a preferred value, you must select the value.
Algorithm Options
You can change the following options:
- Homogeneity Metric: Gini, the default, or Entropy.
- Maximum Depth: The maximum number of levels of the tree. The default is 7; must be an integer in the range 2 to 20.
- Minimum Records in a Node: The minimum number of records in a node. The default is 10; must be an integer >=0
- Minimum Percent of Records in a Node: The default is 0.05; must be a number in the range 0 to 10
- Minimum Records for a Split: The minimum number of records for a split. The default is 20; must be an integer >=0
- Minimum Percent of Records for a Split: The default is 0.1; must be a number in the range 0 to 20
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