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.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > rules
Make sure to have this extension installed:
KNIME Weka Data Mining Integration (3.7)
Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site