Incorrect handling of missing data can lead to a(n) ________ in model performance.

  • amplification
  • boost
  • degradation
  • improvement
Incorrectly handling missing data can distort the data, thereby negatively affecting the model's ability to learn accurately from it and leading to a degradation in the model's performance.
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