What is stacking (stacked generalization) in ensemble learning?

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What is stacking (stacked generalization) in ensemble learning?

Key points

  • Stacking uses out-of-fold predictions for meta-learning
  • Meta-learner combines predictions of base models
  • Outperforms individual models
  • Enhances ensemble learning performance

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