Pretty pleased with my solution to this one!
Interestingly, I note a couple of things:
- we threw every feature at the model - I’m surprised we don’t work up to that
- We tend to use MSE instead of R2 or adjusted R2, which I’m more comfortable using
Given our error with the test set is so low, I assume that’s not a problem, but found it interesting none-the-less?