# CalibratedBinaryClassificationMetrics.LogLossReduction Property

## Definition

Gets the log-loss reduction (also known as relative log-loss, or reduction in information gain - RIG) of the classifier.

public double LogLossReduction { get; }
member this.LogLossReduction : double
Public ReadOnly Property LogLossReduction As Double

## Remarks

The log-loss reduction is scaled relative to a classifier that predicts the prior for every example:

(LL(prior) - LL(classifier)) / LL(prior)

This metric can be interpreted as the advantage of the classifier over a random prediction.

For example, if the RIG equals 20, it can be interpreted as "the probability of a correct prediction is

20% better than random guessing."