splitcriteria

Module containing split criteria for decision trees.

Decision trees are built by splitting the data into groups based on a split criterion. The split criterion is a function that measures the quality of a split.

Classes

GiniSplitCriterion	Goodness of split using Gini impurity.
InfoGainSplitCriterion	Goodness of split using information gain.
SplitCriterion	Split criteria are used to evaluate the quality of a split in a decision tree.
VarianceReductionSplitCriterion	Goodness of split criterion based on variance reduction.