Question

Solve in R/R Studio code -

Q3. In this problem you wil use LDA, QDA and KNN to predict whether a given car gets high or low mileage based on the Auto data set in the ISLR library a. Create a binary variable, mpg01, that contains a 1 if mpg contains a value above its median, and a 0 if mpg contains a value below its median. You can compute the median using the median) function. You may also find it helpful to use the data.frameO function to create a single data set containing both mpg01 and other Auto variables b. Explore the data graphically in order to investigate the association between mpg01 and other features. Which of the other features seem most likely to be useful in predicting mpg01? Scatterplots and boxplots may be useful to answer these questions c. Perform LDA in order to predict mpg01 using (i) all remaining variables and (ii) using the variables that you think would be most useful. Report the overall error of your model in each case d. Repeat part (c) with QDA and KNN. While using KNN try two or three different values of k and report the error for each case

Answer 1

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