When a Decision Tree is too complex and fits the training data too well, __________ techniques can be applied to simplify the model.

  • Bagging
  • Boosting
  • Normalizing
  • Pruning
When a Decision Tree is overfitting (too complex), pruning techniques can be applied to simplify the model. Pruning involves removing branches that have little predictive power, thereby reducing the complexity and the risk of overfitting.
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