mulan.evaluation.measure
Class LabelBasedRecall

java.lang.Object
  mulan.evaluation.measure.MeasureBase
      mulan.evaluation.measure.BipartitionMeasureBase
          mulan.evaluation.measure.LabelBasedBipartitionMeasureBase
              mulan.evaluation.measure.LabelBasedRecall

All Implemented Interfaces:

Serializable, Measure

Direct Known Subclasses:

MacroRecall, MicroRecall

public abstract class LabelBasedRecall
extends LabelBasedBipartitionMeasureBase

Common class for the micro/macro label-based recall measures.

Version:

2012.05.29

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Field Summary

Fields inherited from class mulan.evaluation.measure.LabelBasedBipartitionMeasureBase

falseNegatives, falsePositives, numOfLabels, trueNegatives, truePositives

Constructor Summary

LabelBasedRecall(int numOfLabels)
Constructs a new object with given number of labels

Method Summary

double

getIdealValue() Gets an 'ideal' value of a measure.

Methods inherited from class mulan.evaluation.measure.LabelBasedBipartitionMeasureBase

reset, updateBipartition

Methods inherited from class mulan.evaluation.measure.BipartitionMeasureBase

updateInternal

Methods inherited from class mulan.evaluation.measure.MeasureBase

makeCopy, toString, update

Methods inherited from class java.lang.Object

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

Methods inherited from interface mulan.evaluation.measure.Measure

getName, getValue

Constructor Detail

LabelBasedRecall

public LabelBasedRecall(int numOfLabels)

Constructs a new object with given number of labels

Parameters:

numOfLabels - the number of labels

Method Detail

getIdealValue

public double getIdealValue()

Description copied from interface: Measure

Gets an 'ideal' value of a measure. The 'ideal' means, that the value represents the best achievable performance of a learner for an prediction of a multi-label task and associated true labels.

Returns:

the ideal value