Because x and y are completely independent, you should not be able to predict y using x with accuracy larger than 0.5. Confirm this by running cross-validation using logistic regression to fit the...

Because x and y are completely independent, you should not be able to predict y using x with accuracy larger than 0.5. Confirm this by running cross-validation using logistic regression to fit the model. Because we have so many predictors, we selected a random sample x_subset. Use the subset when training the model. Hint: use the caret train function. The results component of the output of train shows you the accuracy. Ignore the warnings.