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:

Options

Number of patterns for HiLite
Determines the maximum number of patterns the tree will store to support HiLiting.
Append columns with normalized class distribution
Shows the normalized class distribution for each prediction.

Input Ports

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A previously learned decision tree model
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Input data to classify

Output Ports

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The input table with one column added containing the classification

Views

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.

Workflows

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Further Links

Developers

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