smile.validation.metric

Class LogLoss

java.lang.Object

smile.validation.metric.LogLoss

All Implemented Interfaces:

java.io.Serializable, ProbabilisticClassificationMetric

public class LogLoss
extends java.lang.Object
implements ProbabilisticClassificationMetric

Log loss is a evaluation metric for binary classifiers and it is sometimes the optimization objective as well in case of logistic regression and neural networks. Log Loss takes into account the uncertainty of the prediction based on how much it varies from the actual label. This provides a more nuanced view of the performance of the model. In general, minimizing Log Loss gives greater accuracy for the classifier. However, it is susceptible in case of imbalanced data.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static LogLoss	instance Default instance.

Constructor Summary

Constructors

Constructor and Description
LogLoss()

Method Summary

Modifier and Type	Method and Description
static double	of(int[] truth, double[] probability) Calculates the Log Loss for binary classifier.
double	score(int[] truth, double[] probability) Returns a score 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

Field Detail

instance

public static final LogLoss instance

Default instance.

Constructor Detail

LogLoss

public LogLoss()

Method Detail

score

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

Description copied from interface: ProbabilisticClassificationMetric

Returns a score to measure the quality of classification.

Specified by:

score in interface ProbabilisticClassificationMetric

Parameters:

truth - the true class labels.

probability - The posterior probability of positive class.

of

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

Calculates the Log Loss for binary classifier.

Parameters:

truth - The sample labels

probability - The posterior probability of positive class.

Returns:

Log Loss

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object