de.jstacs.classifiers.performanceMeasures
Class SensitivityForFixedSpecificity
java.lang.Object
de.jstacs.parameters.ParameterSet
de.jstacs.classifiers.performanceMeasures.AbstractPerformanceMeasure
de.jstacs.classifiers.performanceMeasures.TwoClassAbstractPerformanceMeasure
de.jstacs.classifiers.performanceMeasures.SensitivityForFixedSpecificity
- All Implemented Interfaces:
- NumericalPerformanceMeasure, GalaxyConvertible, Storable, Cloneable
public class SensitivityForFixedSpecificity
- extends TwoClassAbstractPerformanceMeasure
- implements NumericalPerformanceMeasure
This class implements the sensitivity for a fixed specificity.
The sensitivity is defined as
and the specificity is defined as
.
The classification threshold for computing the sensitivity is chosen such that the classifier yields at least the specified specificity.
- Author:
- Jan Grau, Jens Keilwagen
Method Summary |
NumericalResultSet |
compute(double[][][] classSpecificScores)
This method allows to compute the performance measure of given class specific scores. |
NumericalResultSet |
compute(double[] sortedScoresClass0,
double[] sortedScoresClass1)
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.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 |
SensitivityForFixedSpecificity
public SensitivityForFixedSpecificity()
- Constructs a new instance of the performance measure
SensitivityForFixedSpecificity
with empty parameter values.
SensitivityForFixedSpecificity
public SensitivityForFixedSpecificity(double specificity)
throws Exception
- Constructs a new instance of the performance measure
SensitivityForFixedSpecificity
with given specificity
.
- Parameters:
specificity
- the specificity for which the sensitivity should be computed
- Throws:
Exception
- if the internal parameters can not be created or the value can not be set
SensitivityForFixedSpecificity
public SensitivityForFixedSpecificity(StringBuffer xml)
throws NonParsableException
- The standard constructor for the interface
Storable
.
Constructs a SensitivityForFixedSpecificity
out of an XML representation.
- Parameters:
xml
- the XML representation as StringBuffer
- Throws:
NonParsableException
- if the SensitivityForFixedSpecificity
could not be reconstructed out of
the StringBuffer
xml
getName
public String getName()
- Description copied from class:
AbstractPerformanceMeasure
- The method returns the name of the performance measure.
- Specified by:
getName
in class AbstractPerformanceMeasure
- Returns:
- the name of the performance measure
compute
public NumericalResultSet compute(double[] sortedScoresClass0,
double[] sortedScoresClass1)
- Description copied from class:
AbstractPerformanceMeasure
- This method allows to compute the performance measure of given sorted score ratios.
This method can only be used for binary classifiers.
- Specified by:
compute
in interface NumericalPerformanceMeasure
- Specified by:
compute
in class AbstractPerformanceMeasure
- Parameters:
sortedScoresClass0
- the sorted score ratios of class 0sortedScoresClass1
- the sorted score ratios of class 1
- Returns:
- a result set containing the results of the performance measure
- See Also:
Arrays.sort(double[])
compute
public NumericalResultSet compute(double[][][] classSpecificScores)
- Description copied from class:
AbstractPerformanceMeasure
- This method allows to compute the performance measure of given class specific scores.
- Specified by:
compute
in interface NumericalPerformanceMeasure
- Overrides:
compute
in class TwoClassAbstractPerformanceMeasure
- Parameters:
classSpecificScores
- the scores; first dimension = data sets, second dimension = sequences of the data set, third dimension classes of the classifier
- Returns:
- a result set containing the results of the performance measure