main differences between each tree in a RF and CART best tree?

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Main differences between each tree in a RF and the best tree from CART?

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The main differences between trees in a Random Forest and the best tree from CART are :

  • The training set of each tree in the RF is a subset of the main trainset (bootstrapping)
  • At each node of a RF tree, a subset of feature is used to choose the best one for the split