What is the Gini impurity criterion in decision trees?

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What is the Gini impurity criterion in decision trees?

Key points

  • Gini impurity measures classification error at each node
  • Lower Gini impurity leads to more homogeneous nodes
  • Helps in creating decision trees with better predictive power

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