I am reading up on model selection and ran into some intresting questions that I would like to understand to build intuition on the topic. My questions were:
What are the appropriate ways of performing model selection?
Are there any other alternatives for estimation? If so could you list these so I can read up on them?
Can we say that the loss achieved on the training data is inappropriate and if so why is this the case?