Decision Tree Learning

Rule Post-Pruning

Decision tree
  1. Infer tree as well as possible.
  2. Convert tree to equivalent set of rules.
  3. Prune each rule by removing any preconditions that result in improving its estimated accuracy.
  4. Sort final rules by their estimated accuracy and consider them in this sequence when classifying.

José M. Vidal .

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