M5Rules (3.7)

Generates a decision list for regression problems using separate-and-conquer

In each iteration it builds a model tree using M5 and makes the "best" leaf into a rule.

For more information see:

Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees.In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999.

Ross J.

Quinlan: Learning with Continuous Classes.In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992.

Y.

Wang, I.H.

Witten: Induction of model trees for predicting continuous classes.In: Poster papers of the 9th European Conference on Machine Learning, 1997.

(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: Table
   Training data
   Training data

Output ports

1. Type: Weka 3.7 Classifier
   Trained model
   Trained model