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Decision Tree Predictor

KNIME Base Nodes version 4.3.2.v202103021015 by KNIME AG, Zurich, Switzerland

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.
Change prediction column name
When set, you can change the name of the prediction column.
Prediction Column
The possibly overridden column name for the predicted column. (The default is: Prediction (trainingColumn).)
Append columns with normalized class distribution
Shows the normalized class distribution for each prediction.
Suffix for probability columns
Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

A previously learned decision tree model
Input data to classify

Output Ports

The input table with one column added containing the classification and the probabilities depending on the options


Decision Tree View
The decision tree as given in the model port along with the classified data. The tree can be expanded and collapsed with the plus/minus signs.
Decision Tree View (simple)
The decision tree as given in the model port along with the classified data.

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install KNIME Base nodes from the following update site:


A zipped version of the software site can be downloaded here.

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