To put the reader in context: https://docs.moodle.org/dev/Project_Inspire_API#Analysable

Would be useful that admins have a view of all possible analysable elements xxxx model could use and how many of those will actually end up using.

May be easier to explain this using students at risk prediction case. If enrolments and / or course start and end dates are not properly set the course can not be used for training. The target is the one that will discard elements for training and for prediction. This is about calling each of the site analysables (courses in students at risk prediction as the analysable in use is student enrolments) is_valid_analysable method both for training and for prediction.

During today's analytics meeting we expanded this a bit. The idea is to add an option (new method returning true/false) to targets that, if enabled, would generate an insight for the users with moodle/analytics:listinsights capability on the analysable context about what should they do if they want to get xxx model predictions.