Decision Tree Model Options

Model name. You can generate the model name automatically based on the target or ID field (or model type in cases where no such field is specified) or specify a custom name.

Unique field. Specifies the field used to uniquely identify each case. For example, this might be an ID field, such as CustomerID. IBM® SPSS® Modeler imposes a restriction that this key field must be numeric.

Note: This field is optional for all Oracle nodes except Oracle Adaptive Bayes, Oracle O-Cluster and Oracle Apriori.

Auto Data Preparation. (11g only) Enables (default) or disables the automated data preparation mode of Oracle Data Mining. If this box is checked, ODM automatically performs the data transformations required by the algorithm. For more information, see Oracle Data Mining Concepts.

Impurity metric. Specifies which metric is used for seeking the best test question for splitting data at each node. The best splitter and split value are those that result in the largest increase in target value homogeneity for the entities in the node. Homogeneity is measured in accordance with a metric. The supported metrics are gini and entropy.