gov.sandia.cognition.statistics.method

Class ReceiverOperatingCharacteristic.DataPoint

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.DataPoint

All Implemented Interfaces:

CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

ReceiverOperatingCharacteristic

public static class ReceiverOperatingCharacteristic.DataPoint
extends AbstractCloneableSerializable

Contains information about a datapoint on an ROC curve

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ReceiverOperatingCharacteristic.DataPoint.Sorter Sorts DataPoints in ascending order according to their falsePositiveRate (x-axis)

Constructor Summary

Constructors

Constructor and Description
DataPoint(ScalarThresholdBinaryCategorizer classifier, DefaultBinaryConfusionMatrix confusionMatrix) Creates a new instance of DataPoint

Method Summary

Modifier and Type	Method and Description
ScalarThresholdBinaryCategorizer	getClassifier() Getter for classifier
DefaultBinaryConfusionMatrix	getConfusionMatrix() Getter for confusionMatrix
double	getFalsePositiveRate() Gets the falsePositiveRate associated with this datapoint
double	getTruePositiveRate() Gets the truePositiveRate associated with this datapoint
void	setClassifier(ScalarThresholdBinaryCategorizer classifier) Setter for classifier
protected void	setConfusionMatrix(DefaultBinaryConfusionMatrix confusionMatrix) Setter for confusionMatrix

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Constructor Detail

DataPoint

public DataPoint(ScalarThresholdBinaryCategorizer classifier,
                 DefaultBinaryConfusionMatrix confusionMatrix)

Creates a new instance of DataPoint

Parameters:

classifier - Binary classifier used to create the corresponding ConfusionMatrix, which is really a wrapper for the threshold

confusionMatrix - Corresponding ConfusionMatrix with this datapoint

Method Detail

getClassifier

public ScalarThresholdBinaryCategorizer getClassifier()

Getter for classifier

Returns:

Binary classifier used to create the corresponding ConfusionMatrix, which is really a wrapper for the threshold

setClassifier

public void setClassifier(ScalarThresholdBinaryCategorizer classifier)

Setter for classifier

Parameters:

classifier - Binary classifier used to create the corresponding ConfusionMatrix, which is really a wrapper for the threshold

getConfusionMatrix

public DefaultBinaryConfusionMatrix getConfusionMatrix()

Getter for confusionMatrix

Returns:

Corresponding ConfusionMatrix with this datapoint

setConfusionMatrix

protected void setConfusionMatrix(DefaultBinaryConfusionMatrix confusionMatrix)

Setter for confusionMatrix

Parameters:

confusionMatrix - Corresponding ConfusionMatrix with this datapoint

getFalsePositiveRate

public double getFalsePositiveRate()

Gets the falsePositiveRate associated with this datapoint

Returns:

falsePositiveRate associated with this datapoint

getTruePositiveRate

public double getTruePositiveRate()

Gets the truePositiveRate associated with this datapoint

Returns:

truePositiveRate associated with this datapoint