What is information gain and how is it used in decision tree construction?

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What is information gain and how is it used in decision tree construction?

Key points

  • Information gain quantifies the improvement in splitting data based on a feature
  • It helps to select the best feature for splitting at each node
  • Higher information gain indicates a more effective split
  • It is crucial for building decision trees that accurately classify data

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