org.dllearner.learningproblems
Class ScoreThreeValued

java.lang.Object
  org.dllearner.core.Score
      org.dllearner.learningproblems.ScorePosNeg
          org.dllearner.learningproblems.ScoreThreeValued

All Implemented Interfaces:

Serializable

public class ScoreThreeValued
extends ScorePosNeg

Computes the score (a negative value) by comparing the classification results with ideal results. TODO: The implementation is not very efficient, because some things are only computed to be able to present the score results. This means that it would be better to compute only the necessary computations and do the other ones only when they are needed to calculate statistical values.

Author:

Jens Lehmann

See Also:

Serialized Form

Nested Class Summary

static class

ScoreThreeValued.ScoreMethod

Constructor Summary

ScoreThreeValued(int conceptLength, double accuracyPenalty, double errorPenalty, boolean penaliseNeutralExamples, double percentPerLengthUnit, SortedSet<Individual> posClassified, SortedSet<Individual> neutClassified, SortedSet<Individual> negClassified, SortedSet<Individual> posExamples, SortedSet<Individual> neutExamples, SortedSet<Individual> negExamples)

Method Summary

double	getAccuracy() This method returns a value, which indicates how accurate a class description solves a learning problem.
Set<Individual>	getCoveredNegatives()
Set<Individual>	getCoveredPositives()
ScorePosNeg	getModifiedLengthScore(int newLength) The score of a concept depends on how good it classifies the examples of a learning problem and the length of the concept itself.
SortedSet<Individual>	getNegClassified()
Set<Individual>	getNotCoveredNegatives()
Set<Individual>	getNotCoveredPositives()
SortedSet<Individual>	getPosClassified()
double	getScoreValue()
String	toString()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

ScoreThreeValued

public ScoreThreeValued(int conceptLength,
                        double accuracyPenalty,
                        double errorPenalty,
                        boolean penaliseNeutralExamples,
                        double percentPerLengthUnit,
                        SortedSet<Individual> posClassified,
                        SortedSet<Individual> neutClassified,
                        SortedSet<Individual> negClassified,
                        SortedSet<Individual> posExamples,
                        SortedSet<Individual> neutExamples,
                        SortedSet<Individual> negExamples)

Method Detail

getScoreValue

public double getScoreValue()

Specified by:

getScoreValue in class ScorePosNeg

toString

public String toString()

Overrides:

toString in class Object

getNegClassified

public SortedSet<Individual> getNegClassified()

getPosClassified

public SortedSet<Individual> getPosClassified()

getCoveredNegatives

public Set<Individual> getCoveredNegatives()

Specified by:

getCoveredNegatives in class ScorePosNeg

getCoveredPositives

public Set<Individual> getCoveredPositives()

Specified by:

getCoveredPositives in class ScorePosNeg

getNotCoveredPositives

public Set<Individual> getNotCoveredPositives()

Specified by:

getNotCoveredPositives in class ScorePosNeg

getModifiedLengthScore

public ScorePosNeg getModifiedLengthScore(int newLength)

Description copied from class: ScorePosNeg

The score of a concept depends on how good it classifies the examples of a learning problem and the length of the concept itself. If a given concept is known to have equal classification properties than the concept this score object is based on, then this method can be used to calculate its score value by using the length of this concept as parameter.

Specified by:

getModifiedLengthScore in class ScorePosNeg

Parameters:

newLength - Length of the concept.

Returns:

Score.

getAccuracy

public double getAccuracy()

Description copied from class: Score

This method returns a value, which indicates how accurate a class description solves a learning problem.

Specified by:

getAccuracy in class Score

Returns:

A value between 0 and 1 indicating the quality (of a class description).

See Also:

AbstractLearningProblem.getAccuracy(Description)

getNotCoveredNegatives

public Set<Individual> getNotCoveredNegatives()

Specified by:

getNotCoveredNegatives in class ScorePosNeg