Answer-first summary for fast verification
Answer: No
The question asks whether using k=3 satisfies the requirement of configuring k with its 'usual value choice' for k-fold cross-validation. In machine learning practice, the typical values for k in k-fold cross-validation are 5 or 10, not 3. While k=3 can be used in specific scenarios (e.g., with very small datasets), it is not considered the standard or usual choice. The community discussion strongly supports this, with the highest upvoted comment (13 upvotes) explicitly stating 'usual choice is K=5 or 10' and multiple other comments reinforcing that 3 is not the usual value. Therefore, the recommendation to use k=3 does not meet the requirement of using the usual value choice.
Author: LeetQuiz Editorial Team
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You are evaluating a model on a partial data sample using k-fold cross-validation. The number of splits, k, has already been set. You must now configure k with its usual value choice.
The recommendation is to use k=3.
Does this recommendation meet the requirement?
A
Yes
B
No