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Issues in Decision Tree Learning

  • How deeply to grow the decision tree?
  • Handling continuous attributes.
  • Choosing an appropriate attribute selection measure.
  • Handling training data with missing attribute values.
  • Handling attributes with differing costs.
  • Improving computational efficiency.

  • Successor of ID3, named C4.5 , addresses most of these issues (see [6]).

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