What is ‘cross-validation’ in machine learning model evaluation?

AI Fundamentals Medium

AI Fundamentals — Medium

What is ‘cross-validation’ in machine learning model evaluation?

Key points

  • Cross-validation helps prevent overfitting by testing the model on unseen data.
  • It provides a more reliable estimate of how the model will perform on new data.
  • This technique is crucial for evaluating the generalization ability of a model.

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