FT (3.7)

Learner

Classifier for building 'Functional trees', which are classification trees that could have logistic regression functions at the inner nodes and/or leaves

The algorithm can deal with binary and multi-class target variables, numeric and nominal attributes and missing values.

For more information see:

Joao Gama (2004). Functional Trees.

Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.

(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.

Input Ports

  1. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > trees

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