Decision Tree Predictor

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementDecision Tree Predictor

This node uses an existing decision tree (passed in through the model port) to predict the class value for new patterns. The Node can be configured as follows:


Number of patterns for HiLite
Determines the maximum number of patterns the tree will store to support HiLiting.

Input Ports

Input data to classify
A previously learned decision tree model

Output Ports

The input table with one column added containing the classification

Popular Predecessors

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Popular Successors

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Decision Tree View
The decision tree as given in the model port along with the classified data.


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