Recall (LIMES Core Library 1.7.9 API)

java.lang.Object
- org.aksw.limes.core.evaluation.qualititativeMeasures.APRF
- - org.aksw.limes.core.evaluation.qualititativeMeasures.Recall

All Implemented Interfaces:

IQualitativeMeasure
```
public class Recall
extends APRF
implements IQualitativeMeasure
```
It measures how far the algorithm retrieved correct results out of the all existed correct results.
It is defined to be the ratio between the true positive to the total number of correct results whether retrieved or not

Since:

1.0

Version:

1.0

Author:

Mofeed Hassan (mounir@informatik.uni-leipzig.de), Tommaso Soru (tsoru@informatik.uni-leipzig.de)

Constructor Summary

Constructors
Constructor Description

Recall()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`calculate(AMapping predictions, GoldStandard goldStandard)`	The method calculates the recall of the machine learning predictions compared to a gold standard

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
  - Recall
```
public Recall()
```
- Method Detail
  - calculate
```
public double calculate(AMapping predictions,
                        GoldStandard goldStandard)
```
    The method calculates the recall of the machine learning predictions compared to a gold standard
    
    Specified by:
    
    calculate in interface IQualitativeMeasure
    
    Specified by:
    
    calculate in class APRF
    
    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 recall