smile.validation

Class FDR

java.lang.Object

smile.validation.FDR

All Implemented Interfaces:

ClassificationMeasure

public class FDR
extends java.lang.Object
implements ClassificationMeasure

The false discovery rate (FDR) is ratio of false positives to combined true and false positives, which is actually 1 - precision.

FDR = FP / (TP + FP)

Field Summary

Fields

Modifier and Type	Field and Description
static FDR	instance

Constructor Summary

Constructors

Constructor and Description
FDR()

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 false discovery rate.
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 FDR instance

Constructor Detail

FDR

public FDR()

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 false discovery rate.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object