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1. do we want this feature?

I see it as a 'why not' feature. Its added functionality that doesn't hinder or affect existing functionality. Worst case, it goes unused but it shouldn't negatively affect anyone. Its a 2 way door decision.

2. is there a better name for the strategy? uniform-proba doesn't really tell you what it is if you don't already know the answer.

Just let me know what to update it to. I named it what was suggested in the issue but have no preference on name

@betatim thank you for your healthy skepticism :)

1. Do we need this? Yes, I think so. I have personally seen this functionality implemented at three companies in order to test their ML pipelines. So, it's likely it would be used in many instances.
2. I think uniform-proba is good for two reasons:
   i. proba implies that strategy applies to the probabilities (bc predict_proba)
   ii. uniform implies randomness and a relation to the uniform strategy, which there is since uniform applies to the predicted labels while uniform-proba applies to the probabilities