Computers and Technology, 21.05.2020 02:00 krally0399
Complete data are very rare because some data are usually missing. There are typically four strategies to handle missing data.
Ignore the variables with missing data.
Delete the records that have some missing values.
Impute the missing values (i. e., simply fill in the missing values with some other value, such as the mean of similar records with data).
Use a data mining technique that can handle missing values, such as CART, which is one of a few techniques that handle missing data pretty well.
Suppose you are working on a project to model a hotel company's customer base. The goal is to determine which customer attributes are correlated with a high number of hotel stays. You have access to data from a customer survey, but one field (which is optional) is yearly income and has some missing values equaling roughly 5% of the records. Which of the strategies should be used? Explain why. Suppose you chose the third strategy. Explain how you would impute the missing incomes.
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Computers and Technology, 23.06.2019 15:30
The song about casey jones a railroad engineer who gives his life on the job would most likely gall under the folk song category of? a-work song b-nonsense song c-religious song d-ballad
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Computers and Technology, 23.06.2019 17:00
The camera still is bad even with the new iphone xr and especially in low light it is even worst because you can see the pixels more if its in low light. if all you apple customers want apple to fix this then lets fill there feedback with complaints about the
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Computers and Technology, 23.06.2019 20:00
What multimedia system creates an immersive, real-life experience that the user can interact with?
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Computers and Technology, 24.06.2019 00:00
Visualizing a game of “tag” to remember the meaning of contagious
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Complete data are very rare because some data are usually missing. There are typically four strategi...
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