CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic Class Reference

Receiver Operating Characteristic (ROC) Curve More...

Classes
class	Point
	Object to hold information about a Receiver Operating Characteristic Curve Point More...
class	PointCollection
	Represents a Collection of Receiver Operating Characteristic (ROC) Curve points. This class cannot be instantiated. More...

Public Member Functions
	ReceiverOperatingCharacteristic (double[] measurement, double[] prediction)
	Constructs a new Receiver Operating Characteristic model More...
void	Compute (int points)
	Computes a n-points ROC curve. More...
void	Compute (double increment)
	Computes a ROC curve with 1/increment points More...
double	Compare (ReceiverOperatingCharacteristic curve, double r)
	Compares two ROC curves. More...

Public Attributes
PointCollection	collection

Properties
PointCollection	Points [get]
	Gets the points of the curve. More...
double	Area [get]
	The area under the ROC curve. Also known as AUC-ROC. More...
double	Error [get]
	Calculates the Standard Error associated with this ROC curve. More...

Detailed Description

Receiver Operating Characteristic (ROC) Curve

In signal detection theory, a receiver operating characteristic (ROC), or simply ROC curve, is a graphical plot of the sensitivity vs. (1 − specificity) for a binary classifier system as its discrimination threshold is varied.

References: http://en.wikipedia.org/wiki/Receiver_operating_characteristic http://www.anaesthetist.com/mnm/stats/roc/Findex.htm http://radiology.rsna.org/content/148/3/839.full.pdf

Constructor & Destructor Documentation

CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.ReceiverOperatingCharacteristic ( double[]  measurement, double[]  prediction  )

inline

Constructs a new Receiver Operating Characteristic model

Parameters

output	An array of binary values. Tipically 0 and 1, or -1 and 1, indicating negative and positive cases, respectively.
predictedOutput	An array of continuous values trying to approximate the measurement array.

Member Function Documentation

double CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Compare ( ReceiverOperatingCharacteristic  curve, double  r  )

inline

Compares two ROC curves.

Parameters

r	The amount of correlation between the two curves

Returns

void CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Compute ( int  points )

inline

Computes a n-points ROC curve.

Each point in the ROC curve will have a threshold increase of 1/npoints over the previous point, starting at zero.

Parameters

points

The number of points for the curve.

void CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Compute ( double  increment )

inline

Computes a ROC curve with 1/increment points

Parameters

increment

The increment over the previous point for each point in the curve.

Property Documentation

double CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Area

get

The area under the ROC curve. Also known as AUC-ROC.

double CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Error

get

Calculates the Standard Error associated with this ROC curve.

PointCollection CrowdsourcingProject.Statistics.ReceiverOperatingCharacteristic.Points

get

Gets the points of the curve.

---

The documentation for this class was generated from the following file:

• C:/Users/Matteo/Source/Repos/active-crowd/CrowdsourcingModels/Statistics/ReceiverOperatingCharacteristic.cs