The question refers to Auto data set in ISLR2 package. Set seed as 1. We take use of 10-fold cross-validation approach to choose a better model from the following two.

Model A: mpg~horsepower

Model B: mpg~horsepower+displacement

What is the K-fold cross-validation errors of the two models?

I know Model B is better, because I keep getting a smaller validation error from B, but I keep getting marked for incorrect outputs in the models.