What is the impact on training time if missing data is incorrectly handled in a large dataset?
- Decreases dramatically.
- Depends on the specific dataset.
- Increases dramatically.
- Remains largely the same.
If missing data is not handled correctly, particularly in a large dataset, the training time can increase significantly. This is because the model might struggle to learn from the distorted data, requiring more time to try to fit the data.
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Related Quiz
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