[scikit-learn] Opinion on reference mentioning that RF uses weak learners

[Brown J.B.]

> As previously mentioned, a "weak learner" is just a learner that barely
performs better than random.

To continue with what the definition of a random learner refers to, does it
mean the following contexts?
(1) Classification: a learner which uniformly samples from one of the N
endpoints in the training data (e.g., the set of unique values in the
response vector "y").
(2) Regression: a learner which uniformly samples from the range of values
in the endpoint/response vector (e.g., uniform sampling from [min(y),
max(y)]).

Should even more context be explicitly declared (e.g., not uniform sampling
but any distribution sampler)?

J.B.
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