What is locally weighted averaging and how does it help in
1. Discuss the advantages and drawbacks of using a small value versus a large value for k.
2. Why would one consider stretching the axes?
3. What is locally weighted averaging, and how does it help in estimation?
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use the data set churn normalize the numerical data recode the categorical variables and deal with the correlated
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1 discuss the advantages and drawbacks of using a small value versus a large value for k2 why would one consider
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