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

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Question: Which of the following is a common method for handling missing data in a dataset?

Options:

  1. Removing all rows with missing values
  2. Replacing missing values with the mean or median
  3. Ignoring the missing values during training
  4. All of the above

Correct Answer: Replacing missing values with the mean or median

Solution: 

Replacing missing values with the mean or median is a common method, though other methods can also be used depending on the context.

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

Practice Questions

Q1
Which of the following is a common method for handling missing data in a dataset?
  1. Removing all rows with missing values
  2. Replacing missing values with the mean or median
  3. Ignoring the missing values during training
  4. All of the above

Questions & Step-by-Step Solutions

Which of the following is a common method for handling missing data in a dataset?
  • Step 1: Understand that missing data means some information is not available in the dataset.
  • Step 2: Learn that one way to handle missing data is to replace it with a value.
  • Step 3: Know that common values used for replacement are the mean (average) or median (middle value) of the available data.
  • Step 4: Consider that the choice of method may depend on the type of data and the situation.
No concepts available.
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