Package ai.libs.jaicore.ml.classification.loss.dataset

Class AAreaUnderCurvePerformanceMeasure

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

ai.libs.jaicore.ml.classification.loss.dataset.ASingleLabelClassificationPerformanceMeasure

ai.libs.jaicore.ml.classification.loss.dataset.AAreaUnderCurvePerformanceMeasure

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

Direct Known Subclasses:

AreaUnderPrecisionRecallCurve, AreaUnderROCCurve

public abstract class AAreaUnderCurvePerformanceMeasure
extends ASingleLabelClassificationPerformanceMeasure

Constructor Summary

Constructors

Constructor	Description
AAreaUnderCurvePerformanceMeasure()
AAreaUnderCurvePerformanceMeasure(int positiveClass)

Method Summary

Modifier and Type	Method	Description
protected double	getAreaUnderCurve(java.util.List<ai.libs.jaicore.basic.sets.Pair<java.lang.Double,java.lang.Double>> curveCoordinates)	Computes the area under the curve coordinates, assuming a linear interpolation between the coordinates.
java.lang.Object	getPositiveClass()
java.util.List<ai.libs.jaicore.basic.sets.Pair<java.lang.Double,java.lang.Integer>>	getPredictionList(java.util.List<? extends java.lang.Integer> expected, java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification> predicted)
abstract double	getXValue(int tp, int fp, int tn, int fn)
abstract double	getYValue(int tp, int fp, int tn, int fn)
double	score(java.util.List<? extends java.lang.Integer> expected, java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification> predicted)	If this performance measure is originally a loss function its loss is transformed into a score by multiplying the loss with -1.

Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure

averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, loss, score

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure

loss, loss, score

Constructor Detail

AAreaUnderCurvePerformanceMeasure

public AAreaUnderCurvePerformanceMeasure(int positiveClass)

AAreaUnderCurvePerformanceMeasure

public AAreaUnderCurvePerformanceMeasure()

Method Detail

getPositiveClass

public java.lang.Object getPositiveClass()

getPredictionList

public java.util.List<ai.libs.jaicore.basic.sets.Pair<java.lang.Double,java.lang.Integer>> getPredictionList(java.util.List<? extends java.lang.Integer> expected,
                                                                                                                   java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification> predicted)

getAreaUnderCurve

protected double getAreaUnderCurve(java.util.List<ai.libs.jaicore.basic.sets.Pair<java.lang.Double,java.lang.Double>> curveCoordinates)

Computes the area under the curve coordinates, assuming a linear interpolation between the coordinates.

Parameters:

curveCoordinates - The points of the curve in ascending order (according to x-axis).

Returns:

The area under the curve.

score

public double score(java.util.List<? extends java.lang.Integer> expected,
                    java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification> predicted)

Description copied from class: APredictionPerformanceMeasure

If this performance measure is originally a loss function its loss is transformed into a score by multiplying the loss with -1. (score=-loss).

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

Overrides:

score in class APredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

getXValue

public abstract double getXValue(int tp,
                                 int fp,
                                 int tn,
                                 int fn)

getYValue

public abstract double getYValue(int tp,
                                 int fp,
                                 int tn,
                                 int fn)