Uses of Class
gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic

Packages that use ReceiverOperatingCharacteristic

Package	Description
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of ReceiverOperatingCharacteristic in gov.sandia.cognition.statistics.method

Methods in gov.sandia.cognition.statistics.method that return ReceiverOperatingCharacteristic

Modifier and Type	Method and Description
ReceiverOperatingCharacteristic	ReceiverOperatingCharacteristic.clone()
static ReceiverOperatingCharacteristic	ReceiverOperatingCharacteristic.create(java.util.Collection<? extends InputOutputPair<java.lang.Double,java.lang.Boolean>> data) Creates an ROC curve based on the scored data with target information
static ReceiverOperatingCharacteristic	ReceiverOperatingCharacteristic.createFromTargetEstimatePairs(java.util.Collection<? extends Pair<java.lang.Boolean,? extends java.lang.Number>> data) Creates an ROC curve based on the scored data with target information.

Methods in gov.sandia.cognition.statistics.method with parameters of type ReceiverOperatingCharacteristic

Modifier and Type	Method and Description
static double	ReceiverOperatingCharacteristic.Statistic.computeAreaUnderCurve(ReceiverOperatingCharacteristic roc) Computes the "pessimistic" area under the ROC curve using the top-left rectangle method for numerical integration.
static ConvexReceiverOperatingCharacteristic	ConvexReceiverOperatingCharacteristic.computeConvexNull(ReceiverOperatingCharacteristic roc) Computes the convex hull of a ROC curve
static ReceiverOperatingCharacteristic.DataPoint	ReceiverOperatingCharacteristic.Statistic.computeOptimalThreshold(ReceiverOperatingCharacteristic roc) Determines the DataPoint, and associated threshold, that simultaneously maximizes the value of Area=TruePositiveRate+TrueNegativeRate, usually the upper-left "knee" on the ROC curve.
static ReceiverOperatingCharacteristic.DataPoint	ReceiverOperatingCharacteristic.Statistic.computeOptimalThreshold(ReceiverOperatingCharacteristic roc, double truePositiveWeight, double trueNegativeWeight) Determines the DataPoint, and associated threshold, that simultaneously maximizes the value of Area=TruePositiveRate+TrueNegativeRate, usually the upper-left "knee" on the ROC curve.

Constructors in gov.sandia.cognition.statistics.method with parameters of type ReceiverOperatingCharacteristic

Constructor and Description
Statistic(ReceiverOperatingCharacteristic roc) Creates a new instance of Statistic