I apologies in advance as I am not sure on how best to formulate this problem in a generic manner, probably what is also stopping me finding anything of real value online.
I have the scenario where my data does not have a high number of observations between two variables, for example a
advert, most of the data shows any given combination occurring only once from which it is impossible to build any model directly.
I would first like to learn what this type of problem is called when we have a low number of observation between two variables, and secondly some techniques to deal with such a dataset.
Thanks in advance!
EDIT: I was asked to clarify my goal in a comment, the final task is to predict an outcome for this relationship of these two variables, I am modelling this as a binary classification problem.