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Example: Overfitting due to Random Noise

  • Original decision tree based on correct data:
  • Incorrectly labelled data leads to construction of a more complex tree, e.g., {Outlook=Sunny, Temperature=Hot, Humidity=Normal,
    Wind=Strong, PlayTennis=No}
    • ID3 would search for new refinements at the bottom of the left tree.


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