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PART (3.7)

Analytics Integrations Weka Weka (3.7) Classification Algorithms
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Class for generating a PART decision list

Uses separate-and-conquer.Builds a partial C4.5 decision tree in each iteration and makes the "best" leaf into a rule.

For more information, see:

Eibe Frank, Ian H.

Witten: Generating Accurate Rule Sets Without Global Optimization.In: Fifteenth International Conference on Machine Learning, 144-151, 1998.

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Node details

Input ports
  1. Type: Table
    Training data
    Training data
Output ports
  1. Type: Weka 3.7 Classifier
    Trained model
    Trained model

Extension

The PART (3.7) node is part of this extension:

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