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Which of the following is a common method for handling missing data?

Practice Questions

Q1
Which of the following is a common method for handling missing data?
  1. Removing all rows with missing values
  2. Imputing missing values with the mean or median
  3. Ignoring missing values during training
  4. Using a more complex model

Questions & Step-by-Step Solutions

Which of the following is a common method for handling missing data?
  • Step 1: Understand that missing data means some information is not available in your dataset.
  • Step 2: Know that one way to deal with missing data is to fill in the gaps.
  • Step 3: Learn about two common ways to fill in missing data: using the mean (average) or the median (middle value).
  • Step 4: Calculate the mean by adding all available values and dividing by the number of values.
  • Step 5: Calculate the median by sorting the values and finding the middle one.
  • Step 6: Replace the missing values in your dataset with either the mean or the median.
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