Package

weka.classifiers.trees

Synopsis

M5Base. Implements base routines for generating M5 Model trees and rules
The original algorithm M5 was invented by R. Quinlan and Yong Wang made improvements.

For more information see:

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.

Options

The table below describes the options available for M5P.

Option	Description
buildRegressionTree	Whether to generate a regression tree/rule instead of a model tree/rule.
debug	If set to true, classifier may output additional info to the console.
minNumInstances	The minimum number of instances to allow at a leaf node.
saveInstances	Whether to save instance data at each node in the tree for visualization purposes.
unpruned	Whether unpruned tree/rules are to be generated.
useUnsmoothed	Whether to use unsmoothed predictions.

Capabilities

The table below describes the capabilites of M5P.

Capability	Supported
Class	Missing class values, Date class, Numeric class
Attributes	Numeric attributes, Empty nominal attributes, Nominal attributes, Date attributes, Binary attributes, Unary attributes, Missing values
Min # of instances	1