smile.validation

Class Accuracy

java.lang.Object

smile.validation.Accuracy

All Implemented Interfaces:

ClassificationMeasure

public class Accuracy
extends java.lang.Object
implements ClassificationMeasure

The accuracy is the proportion of true results (both true positives and true negatives) in the population.

Constructor Summary

Constructors

Constructor and Description
Accuracy()

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Detail

Accuracy

public Accuracy()

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 java.lang.String toString()

Overrides:

toString in class java.lang.Object