MulticlassClassificationMetrics.LogLossReduction Property

Definition

Gets the log-loss reduction (also known as relative log-loss, or reduction in information gain - RIG) of the classifier. It gives a measure of how much a model improves on a model that gives random predictions. Log-loss reduction closer to 1 indicates a better model.

C#
public double LogLossReduction { get; }

Property Value

Remarks

The log-loss reduction is scaled relative to a classifier that predicts the prior for every example: LogLossReduction=LogLoss(prior)LogLoss(classifier)LogLoss(prior) This metric can be interpreted as the advantage of the classifier over a random prediction. For example, if the RIG equals 0.2, it can be interpreted as "the probability of a correct prediction is 20% better than random guessing".

Applies to

Product Versions
ML.NET 1.0.0, 1.1.0, 1.2.0, 1.3.1, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 2.0.0, 3.0.0