Decision tree builds regression or classification models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The result is a tree with decision nodes and leaf nodes. The topmost decision node in a tree which corresponds to the best predictor is called root node.
NOTE The Decision Tree node is not supported for pipelines in snowflake environment.
Following are the steps to apply Decision Tree node in pipeline:
1. Double-click the Decision Tree node. The properties page is displayed.
Click Edit Properties to edit the properties and click Save.
3. Click Normalizations. The list of normalizations are displayed.
Click Add Normalization, enter the required normalization properties.
Click Save.
