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Rule Extraction from a Decision Tree

  • Rules are easier to understand than large trees
  • One rule is created for each path from the root to a leaf
  • Each attribute-value pair along a path forms a conjunction: the leaf holds the class prediction
  • Rules are mutually exclusive and exhaustive
  • Example: Rule extraction from our buys_computer decision-tree
    IF age = young AND student = no THEN buys_computer = no
    IF age = young AND student = yes THEN buys_computer = yes
    IF age = mid-age THEN buys_computer = yes
    IF age = old AND credit_rating = excellent THEN buys_computer = no
    IF age = old AND credit_rating = fair THEN buys_computer = yes


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