Package smile.validation.metric

Class Accuracy

java.lang.Object

smile.validation.metric.Accuracy

All Implemented Interfaces:

Serializable, ToDoubleBiFunction<int[],int[]>, ClassificationMetric

public class Accuracy
extends Object
implements ClassificationMetric

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

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final Accuracy	instance	Default instance.

Constructor Summary

Constructors

Constructor	Description
Accuracy()

Method Summary

Modifier and Type	Method	Description
static double	of(int[] truth, int[] prediction)	Calculates the classification accuracy.
double	score(int[] truth, int[] prediction)	Returns a score 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

Methods inherited from interface smile.validation.metric.ClassificationMetric

applyAsDouble

Field Details

instance

public static final Accuracy instance

Default instance.

Constructor Details

Accuracy

public Accuracy()

Method Details

score

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

Description copied from interface: ClassificationMetric

Returns a score to measure the quality of classification.

Specified by:

score in interface ClassificationMetric

Parameters:

truth - the true class labels.

prediction - the predicted class labels.

Returns:

the metric.

of

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

Calculates the classification accuracy.

Parameters:

truth - the ground truth.

prediction - the prediction.

Returns:

the metric.

toString

public String toString()

Overrides:

toString in class Object