I'm doing the Machine Learning specialization from the University of Washington on Coursera, and I have to answer some questions in a quiz from the Regression course.
They ask which model would have the lowest training error if the features of Model 1 are a strict subset of those in Model 2.
How do I check this?
In my point of view this is not enough information to say which model have the lowest training error, because I think the training error doesn't depend on the number of features, but on the number of observations.
Am I wrong?