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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