A dataset has 1000 records and 50 attributes with 5% of the values missing, spread randomly throughout

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A dataset has 1000 records and 50 attributes with 5% of the values missing, spread randomly throughout the records and attributes. An analyst decides to remove records with missing values. About how many records would you expect to be removed?

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Data Mining For Business Analytics Concepts Techniques And Applications With Jmp Pro

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Authors: Galit Shmueli, Peter C Bruce, Mia L Stephens, Nitin R Patel

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Question Posted: Mar 28, 2024 07:01 AM

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A dataset has 1000 records and 50 attributes with 5% of the values missing, spread randomly throughout

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In this scenario there are 1000 records in the dataset and 5 of the values are missing This means th...View the full answer

Data Mining For Business Analytics Concepts Techniques And Applications With Jmp Pro

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