de.jstacs.classifiers.performanceMeasures

Class PRCurve

java.lang.Object

de.jstacs.parameters.ParameterSet

de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasure

de.jstacs.classifiers.performanceMeasures.AbstractTwoClassPerformanceMeasure

de.jstacs.classifiers.performanceMeasures.PRCurve

All Implemented Interfaces:

PerformanceMeasure, GalaxyConvertible, Storable, Cloneable

Direct Known Subclasses:

AucPR

public class PRCurve
extends AbstractTwoClassPerformanceMeasure

This class implements the precision-recall curve and its area under the curve. The precision-recall curve is the plot of precision (also called positive predictive value, ) against recall (also called sensitivity, ) for all possible classification thresholds. If you are only interested in the area under this curve, you can use AucPR instead.

Author:

Jan Grau, Jens Keilwagen

Nested Class Summary

Nested classes/interfaces inherited from class de.jstacs.parameters.ParameterSet

ParameterSet.ParameterList

Field Summary

Fields

Modifier and Type	Field and Description
static double	minStepSize The minimum step size between supporting points
static String	NAME The name of the performance measure return by getName()

Fields inherited from class de.jstacs.parameters.ParameterSet

errorMessage, parameters, parent

Constructor Summary

Constructors

Constructor and Description
PRCurve() Constructs a new instance of the performance measure PRCurve.
PRCurve(StringBuffer xml) The standard constructor for the interface Storable.

Method Summary

Modifier and Type	Method and Description
ResultSet	compute(double[] sortedScoresClass0, double[] weightClass0, double[] sortedScoresClass1, double[] weightClass1) This method allows to compute the performance measure of given sorted score ratios.
String	getName() The method returns the name of the performance measure.

Methods inherited from class de.jstacs.classifiers.performanceMeasures.AbstractTwoClassPerformanceMeasure

compute, getAllowedNumberOfClasses

Methods inherited from class de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasure

compute, compute, findSplitIndex, findThreshold, getCollectionOfAllMeasures, getWeight, simpleWeights

Methods inherited from class de.jstacs.parameters.ParameterSet

clone, fromGalaxy, fromXML, getAllParameterNames, getComment, getComment, getErrorMessage, getIndex, getName, getName, getNumberOfParameters, getParameterAt, getParameterForName, getParent, hasDefaultOrIsSet, initParameterList, initParameterList, isAtomic, isComparable, parametersLoaded, reset, setParent, toGalaxy, toXML

Methods inherited from class java.lang.Object

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

Field Detail

NAME

public static final String NAME

The name of the performance measure return by getName()

See Also:

Constant Field Values

minStepSize

public static double minStepSize

The minimum step size between supporting points

Constructor Detail

PRCurve

public PRCurve()

Constructs a new instance of the performance measure PRCurve.

PRCurve

public PRCurve(StringBuffer xml)
        throws NonParsableException

The standard constructor for the interface Storable. Constructs a PRCurve out of an XML representation.

Parameters:

xml - the XML representation as StringBuffer

Throws:

NonParsableException - if the PRCurve could not be reconstructed out of the StringBuffer xml

Method Detail

getName

public String getName()

Description copied from interface: PerformanceMeasure

The method returns the name of the performance measure.

Specified by:

getName in interface PerformanceMeasure

Specified by:

getName in class AbstractPerformanceMeasure

Returns:

the name of the performance measure

compute

public ResultSet compute(double[] sortedScoresClass0,
                         double[] weightClass0,
                         double[] sortedScoresClass1,
                         double[] weightClass1)

Description copied from interface: PerformanceMeasure

This method allows to compute the performance measure of given sorted score ratios. This method can only be used for binary classifiers.

Parameters:

sortedScoresClass0 - the sorted score ratios of class 0

weightClass0 - the weights of the sequences of class 0 sorted along with the scores sortedScoresClass0

sortedScoresClass1 - the sorted score ratios of class 1

weightClass1 - the weights of the sequences of class 1 sorted along with the scores sortedScoresClass1

Returns:

a result set containing the results of the performance measure

See Also:

ToolBox.sortAlongWith(double[], double[][])