URI: http://www.qualityml.org/1.0/metrics/AreaUnderROCCurve
Name: Area Under ROC Curve
Alternative names:  
Definition:

receiver operating characteristic (ROC), or simply ROC curve, is a graphical plot which illustrates the performance of a binary classifier system as its discrimination threshold is varied. It is created by plotting the fraction of true positives out of the total actual positives (TPR = true positive rate) vs. the fraction of false positives out of the total actual negatives (FPR = false positive rate), at various threshold settings.

The ROC is also known as a relative operating characteristic curve, because it is a comparison of two operating characteristics (TPR and FPR) as the criterion changes.

Parameters: actual categories
Source: GeoViQua
Categories: Thematic accuracy
Further information:

http://metaoptimize.com/qa/questions/988/simple-explanation-of-area-under-the-roc-curve
http://en.wikipedia.org/wiki/Receiver_operating_characteristic

Fawcett T (2006) An introduction to ROC analysis: https://cours.etsmtl.ca/sys828/REFS/A1/Fawcett_PRL2006.pdf

XML schema:
<schema xmlns:qml="http://www.qualityml.org/1.0" 
xmlns:un="http://www.uncertml.org/2.0" 
xmlns="http://www.w3.org/2001/XMLSchema" targetNamespace="http://www.qualityml.org/1.0" 
elementFormDefault="qualified" attributeFormDefault="unqualified">
<import namespace="http://www.uncertml.org/2.0" schemaLocation="../../uncertml/2.0/uncertml.xsd"/>
	<element name="AreaUnderROCCurve" type="qml:ContinuousValuesSummaryStatisticType"
XML example:
<un:StatisticsCollection xmlns:qml="http://www.qualityml.org/1.0" 

   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
   xsi:schemaLocation="http://www.qualitymlorg/schemas/qualityml/1.0/qualityml.xsd">
		<qml:AreaUnderROCCurve>
<qml:values>0.84</qml:values>
</qml:AreaUnderROCCurve>y>
JSON example:
N/A
API example:
N/A
Value constraints: categories: any string
counts: any positive natural number