What's the potential impact of incorrectly handled missing data on the convergence of a machine learning model during training?

  • Depends on the missingness mechanism.
  • Has no impact on convergence.
  • Slows down convergence.
  • Speeds up convergence.
If missing data are not correctly handled, the model may struggle to find optimal parameters, leading to slower convergence during training.
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