Enum ClassificationSplitCriterion

Namespace

AiDotNet.Models.Options

Assembly

AiDotNet.dll

Criterion used to measure the quality of a split in classification decision trees.

public enum ClassificationSplitCriterion

Fields

Entropy = 1

Entropy (information gain) measures the average rate at which information is produced by the stochastic source of data.

Gini = 0

Gini impurity measures how often a randomly chosen element would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset.

LogLoss = 2

Log loss criterion useful for probability estimation.