human
consider the training process of a random forest classifier on a dataset X characterized by a set of features F.
what is used to train each individual tree of the forest?
Tell me which of the following statement is correct.
(a) a sample of records from X and a sample of features from F. The sample of records and features do not overlap among the trees.
(b) All the records from X and all the features F, each tree is initialized to a different random state.
(c) A sample of records from X and a sample of features from F. The samples of records can overlap among the trees but the sample of features do not.
(d) A sample of records from X and a sample of features from F, the samples of records and features can overlap among the trees
(e) All the records from X and a subset of features from F. However, only a subset of X is considered at each split. 
(f) none of the statements is correct
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
Yes

--- Answer ---
grounded