M5P
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 |