Which of the following describes data completeness? Select the correct answer.The availability of sufficient data about the world to replace human knowledgeAnything that can prevent the ML model from accurately predicting the correct outcomeA collection of 10 or more datasets about a domain to replace human knowledgeThe problem scope or knowledge domain that the data covers
Question
Which of the following describes data completeness? Select the correct answer.The availability of sufficient data about the world to replace human knowledgeAnything that can prevent the ML model from accurately predicting the correct outcomeA collection of 10 or more datasets about a domain to replace human knowledgeThe problem scope or knowledge domain that the data covers
Solution
The correct answer is: The problem scope or knowledge domain that the data covers.
Data completeness refers to the extent to which all required data is present in a particular dataset. It is about having a full or complete set of data. In the context of machine learning, data completeness means that the data covers the entire problem scope or knowledge domain that the model is supposed to learn from. It does not necessarily mean replacing human knowledge, but rather providing a comprehensive view of the problem domain.
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