AUC (LIMES Core Library 1.7.9 API)

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

All Implemented Interfaces:

IQualitativeMeasure
```
public class AUC
extends APRF
implements IQualitativeMeasure
```
Quantitative measure representing the area under the curve of ROC (see here).

Version:

1.0

Author:

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

Constructor Summary

Constructors
Constructor Description

AUC()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`calculate(AMapping predictions, GoldStandard goldStandard)`	The Abstract method to be implemented for calculating the accuracy 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
  - AUC
```
public AUC()
```
- Method Detail
  - calculate
```
public double calculate(AMapping predictions,
                        GoldStandard goldStandard)
```
    Description copied from class: APRF
    
    The Abstract method to be implemented for calculating the accuracy 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 accuracy