public class PositivePredictiveValueForFixedSensitivity extends AbstractNumericalTwoClassPerformanceMeasure
and the sensitivity is defined as
.
The classification threshold for computing the positive predictive value is chosen such that the classifier yields at least the specified sensitivity.
This measure corresponds to a specific point on the PRCurve.ParameterSet.ParameterListerrorMessage, parameters, parent| Constructor and Description |
|---|
PositivePredictiveValueForFixedSensitivity()
Constructs a new instance of the performance measure
PositivePredictiveValueForFixedSensitivity with empty parameter values. |
PositivePredictiveValueForFixedSensitivity(double sensitivity)
Constructs a new instance of the performance measure
PositivePredictiveValueForFixedSensitivity with given sensitivity. |
PositivePredictiveValueForFixedSensitivity(StringBuffer xml)
The standard constructor for the interface
Storable. |
| Modifier and Type | Method and Description |
|---|---|
NumericalResultSet |
compute(double[] sortedScoresClass0,
double[] weightsClass0,
double[] sortedScoresClass1,
double[] weightsClass1)
This method allows to compute the performance measure of given sorted score ratios.
|
String |
getName()
The method returns the name of the performance measure.
|
compute, compute, computegetAllowedNumberOfClassesfindSplitIndex, findThreshold, getCollectionOfAllMeasures, getWeight, simpleWeightsclone, fromGalaxy, fromXML, getAllParameterNames, getComment, getComment, getErrorMessage, getIndex, getName, getName, getNumberOfParameters, getParameterAt, getParameterForName, getParent, hasDefaultOrIsSet, initParameterList, initParameterList, isAtomic, isComparable, parametersLoaded, reset, setParent, toGalaxy, toXMLequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetAllowedNumberOfClassespublic PositivePredictiveValueForFixedSensitivity()
PositivePredictiveValueForFixedSensitivity with empty parameter values.public PositivePredictiveValueForFixedSensitivity(double sensitivity)
throws Exception
PositivePredictiveValueForFixedSensitivity with given sensitivity.sensitivity - the sensitivity for which the positive predictive value should be computedException - if the internal parameters can not be created or the value can not be setpublic PositivePredictiveValueForFixedSensitivity(StringBuffer xml) throws NonParsableException
Storable.
Constructs a PositivePredictiveValueForFixedSensitivity out of an XML representation.xml - the XML representation as StringBufferNonParsableException - if the PositivePredictiveValueForFixedSensitivity could not be reconstructed out of
the StringBuffer xmlpublic String getName()
PerformanceMeasuregetName in interface PerformanceMeasuregetName in class AbstractPerformanceMeasurepublic NumericalResultSet compute(double[] sortedScoresClass0, double[] weightsClass0, double[] sortedScoresClass1, double[] weightsClass1)
NumericalPerformanceMeasurecompute in interface NumericalPerformanceMeasurecompute in interface PerformanceMeasurecompute in class AbstractNumericalTwoClassPerformanceMeasuresortedScoresClass0 - the sorted score ratios of class 0weightsClass0 - the weights of the sequences of class 0 sorted along with the scores sortedScoresClass0sortedScoresClass1 - the sorted score ratios of class 1weightsClass1 - the weights of the sequences of class 1 sorted along with the scores sortedScoresClass1ToolBox.sortAlongWith(double[], double[][])