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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.m5.M5Base
weka.classifiers.rules.M5Rules
M5 Rules. Implements routines for generating a decision list using M5 Model trees and the approach used by the PART algorithm.
Valid options are:
-U
Use unsmoothed predictions.
Field Summary |
Fields inherited from class weka.classifiers.trees.m5.M5Base |
m_minNumInstances, m_regressionTree, m_ruleSet, m_saveInstances, m_useUnpruned |
Constructor Summary | |
M5Rules()
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Method Summary | |
static void |
main(java.lang.String[] args)
Main method by which this class can be tested |
Methods inherited from class weka.classifiers.trees.m5.M5Base |
buildClassifier, classifyInstance, enumerateMeasures, getBuildRegressionTree, getGenerateRules, getMeasure, getMinNumInstances, getOptions, getUnpruned, getUseUnsmoothed, listOptions, measureNumRules, setBuildRegressionTree, setGenerateRules, setMinNumInstances, setOptions, setUnpruned, setUseUnsmoothed, toString |
Methods inherited from class weka.classifiers.Classifier |
forName, makeCopies |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
public M5Rules()
Method Detail |
public static void main(java.lang.String[] args)
args
- an array of options
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