Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves
The algorithm can deal with binary and multi-class target variables, numeric and nominal attributes and missing values.
For more information see:
Niels Landwehr, Mark Hall, Eibe Frank (2005).Logistic Model Trees.
Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction.
In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
(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 > trees
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