smile.validation

Class FMeasure

java.lang.Object

smile.validation.FMeasure

All Implemented Interfaces:

ClassificationMeasure

public class FMeasure
extends Object
implements ClassificationMeasure

The F-measure (also F1 score or F-score) considers both the precision p and the recall r of the test to compute the score. The F-measure is the harmonic mean of precision and recall,

F-measure = 2 * precision * recall / (precision + recall)

where an F-measure reaches its best value at 1 and worst score at 0.:

Author:

Haifeng Li

Constructor Summary

Constructors

Constructor and Description
FMeasure()

Method Summary

Methods

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

Methods inherited from class java.lang.Object

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

Constructor Detail

FMeasure

public FMeasure()

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.

toString

public String toString()

Overrides:

toString in class Object