edu.cmu.minorthird.ui
Class Recommended.DecisionTreeLearner

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.BatchBinaryClassifierLearner
          edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner
              edu.cmu.minorthird.ui.Recommended.DecisionTreeLearner

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.lang.Cloneable

Enclosing class:

Recommended

public static class Recommended.DecisionTreeLearner
extends DecisionTreeLearner

A simple decision tree learner.

This has no pruning, and limits decision trees to a depth of 5. The splitting criterion is modelled after the one used in Cohen & Singer's SLIPPER system---it is designed to optimize performance of the metric being optimized by AdaBoost.

Related references: William W. Cohen and Yoram Singer, A Simple, Fast, and Effective Rule Learner, Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99); J. Ross Quinlan, C4.5: programs for machine learning, Morgan Kaufmann, 1994.

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

classifier, dataset

Constructor Summary

Recommended.DecisionTreeLearner()

Method Summary

Methods inherited from class edu.cmu.minorthird.classify.algorithms.trees.DecisionTreeLearner

batchTrain, getMaxDepth, getMinSplitCount, setMaxDepth, setMinSplitCount

Methods inherited from class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

batchTrainBinary, getBinaryClassifier, getSchema, setSchema

Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Constructor Detail

Recommended.DecisionTreeLearner

public Recommended.DecisionTreeLearner()