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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