Decision Tree Options
There are two kinds of build settings:
General settings are supported for classification models only.
The General tab lets you select one of the following accuracy goals:
- Maximum Overall Accuracy, the default
- Maximum Average Accuracy
In many cases, Maximum Overall Accuracy provides the best general approach. For detailed information about these types, see Accuracy Type.
Algorithm Settings
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.
When you are done, click OK to close the dialog and save any changes.
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