Package org.deidentifier.arx.aggregates

Klasse StatisticsClassification.ROCCurve

java.lang.Object

org.deidentifier.arx.aggregates.StatisticsClassification.ROCCurve

Umschließende Klasse:

StatisticsClassification

public static class StatisticsClassification.ROCCurve
extends Object

A ROC curve

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
double	getAUC()	Returns the AUC
double	getBrierScore()	Returns the Brier score.
double[]	getFalsePositiveRate()	Returns false-positive rates for all cut-off points
double	getSensitivity()	Return the sensitivity = tp / (tp + fn).
double	getSpecificity()	Returns the specificity = tn / (fp + tn).
double[]	getTruePositiveRate()	Returns true-positive rates for all cut-off points

Von Klasse geerbte Methoden java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methodendetails

getAUC

public double getAUC()

Returns the AUC

Gibt zurück:

getBrierScore

public double getBrierScore()

Returns the Brier score.

Gibt zurück:

getFalsePositiveRate

public double[] getFalsePositiveRate()

Returns false-positive rates for all cut-off points

Gibt zurück:

the false positive rate

getSensitivity

public double getSensitivity()

Return the sensitivity = tp / (tp + fn).

Gibt zurück:

the sensitivity

getSpecificity

public double getSpecificity()

Returns the specificity = tn / (fp + tn).

Gibt zurück:

the specificity

getTruePositiveRate

public double[] getTruePositiveRate()

Returns true-positive rates for all cut-off points

Gibt zurück:

the true positive rate