smile.validation

Class Precision

java.lang.Object

smile.validation.Precision

All Implemented Interfaces:

ClassificationMeasure

public class Precision
extends java.lang.Object
implements ClassificationMeasure

The precision or positive predictive value (PPV) is ratio of true positives to combined true and false positives, which is different from sensitivity.

PPV = TP / (TP + FP)

Field Summary

Fields

Modifier and Type	Field and Description
static Precision	instance

Constructor Summary

Constructors

Constructor and Description
Precision()

Method Summary

Modifier and Type	Method and Description
double	measure(int[] truth, int[] prediction) Returns an index to measure the quality of classification.
static double	of(int[] truth, int[] prediction) Calculates the precision.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

instance

public static final Precision instance

Constructor Detail

Precision

public Precision()

Method Detail

measure

public double measure(int[] truth,
                      int[] prediction)

Description copied from interface: ClassificationMeasure

Returns an index to measure the quality of classification.

Specified by:

measure in interface ClassificationMeasure

Parameters:

truth - the true class labels.

prediction - the predicted class labels.

of

public static double of(int[] truth,
                        int[] prediction)

Calculates the precision.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object