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What should be established before imputing missing values?

  1. A Why the data is missing, since missingness is frequently informative
  2. B The column's data type
  3. C The dataset size
  4. D The model to be used
Answer

Why the data is missing, since missingness is frequently informative

Adding a binary was-missing indicator often preserves signal that imputation would otherwise destroy.

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