Technical note: Some properties of splitting criteria

  title={Technical note: Some properties of splitting criteria},
  author={Leo Breiman},
  journal={Machine Learning},
Various criteria have been proposed for deciding which split is best at a given node of a binary classification tree. Consider the question: given a goodness-of-split criterion and the class populations of the instances at a node, what distribution of the instances between the two children nodes maximizes the goodness-of-split criterion? The answers reveal an interesting distinction between the gini and entropy criterion. 
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" Block diagrams and splitting criteria for classification trees " Statistics and Computing

  • B. W. Silverman
  • Received April 29 , 1994 Accepted August 26…
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