org.aksw.limes.core.evaluation.qualititativeMeasures

Class PseudoRefRecall

java.lang.Object

org.aksw.limes.core.evaluation.qualititativeMeasures.APRF

org.aksw.limes.core.evaluation.qualititativeMeasures.APseudoPRF

org.aksw.limes.core.evaluation.qualititativeMeasures.PseudoRecall

org.aksw.limes.core.evaluation.qualititativeMeasures.PseudoRefRecall

All Implemented Interfaces:

IQualitativeMeasure

public class PseudoRefRecall
extends PseudoRecall

Implements a quality measure for unsupervised ML algorihtms, dubbed pseudo Reference Recall.
Thereby, not relying on any gold standard. The basic idea is to measure the quality of the given Mapping by calculating how close it is to an assumed 1-to-1 Mapping between source and target.

Since:

1.0

Version:

1.0

Author:

Klaus Lyko (lyko@informatik.uni-leipzig.de), Axel-C. Ngonga Ngomo (ngonga@informatik.uni-leipzig.de), Mofeed Hassan (mounir@informatik.uni-leipzig.de)

Field Summary

Fields inherited from class org.aksw.limes.core.evaluation.qualititativeMeasures.APseudoPRF

symmetricPrecision

Constructor Summary

Constructors

Constructor and Description
PseudoRefRecall()

Method Summary

Modifier and Type	Method and Description
double	calculate(AMapping predictions, GoldStandard goldStandard) The method calculates the pseudo reference Recall of the machine learning predictions compared to a gold standard for beta = 1 .

Methods inherited from class org.aksw.limes.core.evaluation.qualititativeMeasures.APseudoPRF

getUse1To1Mapping, isSymmetricPrecision, isUse1To1Mapping, setSymmetricPrecision, setUse1To1Mapping

Methods inherited from class org.aksw.limes.core.evaluation.qualititativeMeasures.APRF

falseNegative, trueFalsePositive, trueNegative

Methods inherited from class java.lang.Object

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

Constructor Detail

PseudoRefRecall

public PseudoRefRecall()

Method Detail

calculate

public double calculate(AMapping predictions,
                        GoldStandard goldStandard)

The method calculates the pseudo reference Recall of the machine learning predictions compared to a gold standard for beta = 1 .

Specified by:

calculate in interface IQualitativeMeasure

Overrides:

calculate in class PseudoRecall

Parameters:

predictions - The predictions provided by a machine learning algorithm.

goldStandard - It contains the gold standard (reference mapping) combined with the source and target URIs.

Returns:

double - This returns the calculated pseudo reference Recall.