Answer-first summary for fast verification
Answer: Yes
The question asks whether using k=10 satisfies the requirement to configure the k parameter with the 'usual value choice' for k-fold cross-validation. The community discussion shows a strong consensus (78% selected A) that k=10 is indeed the standard value. Multiple comments reference that k=10 is the default in Azure Machine Learning (as cited from Microsoft documentation) and is commonly used in practice because it provides a good balance between bias and variance. While some comments mention k=5 as an alternative common choice, the majority support k=10 as the usual value, making the recommendation valid for meeting the requirement.
Author: LeetQuiz Editorial Team
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You are evaluating a model using k-fold cross-validation on a partial data sample. You have already defined the k parameter as the number of splits and must now set it to the standard value. The recommendation is to use k=10.
Does this recommendation meet the requirement?
A
Yes
B
No
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