IROCcurve

Assembly: Stat;

Namespace: Prognoz.Platform.Interop.Stat;

Description

The IROCcurve interface is used to work with ROC curve.

Inheritance Hierarchy

IROCcurve

Comments

A ROC curve is a graph that enables the user to assess the quality of binary classification. A ROC curve displays relation between the share of objects from the total number of attribute bearers that are correctly identifier as attribute bearers, and the share of objects from the total number of objects that are not attribute bearers and that are by error identifier as attribute bearers on varying of decision rule threshold.

Thus, a ROC curve is calculated if an explanatory series is binary.

A ROC curve is plotted by laying off the obtained sensitivity values along the Y axis, and (1 - specificity) along the X axis.

Properties

	Property name	Brief description
	Area	The Area property returns curve area.
	ConfidenceIntervalLower	The ConfidenceIntervalLower property returns lower limit of asymptotic confidence interval of curve area.
	ConfidenceIntervalUpper	The ConfidenceIntervalUpper property returns upper limit of asymptotic confidence interval of curve area.
	ConfidenceLevel	The ConfidenceLevel property determines significance of confidence limits.
	CutOffPoints	The CutOffPoints property returns cutoff threshold values.
	OneMinusSpecificity	The OneMinusSpecificity property returns value 1 - specificity.
	Sensitivity	The Sensitivity property returns values of sensitivity.
	StdError	The StdError property returns standard error of curve area.

See also:

Stat Assembly Interfaces