Answer-first summary for fast verification
Answer: Yes
The question asks whether setting k=10 satisfies the requirement to use the 'usual value choice' for k-fold cross-validation. In machine learning practice and Azure ML documentation, k=10 is indeed the most common and default choice for k-fold cross-validation, as it provides a good balance between bias and variance. The community discussion shows strong consensus (78% selected A) with multiple comments confirming that k=10 is the standard value, including references to Azure ML documentation where it defaults to 10 folds. While some comments mention k=5 as another common choice, k=10 remains the most typical and widely accepted standard value, making it the correct choice for satisfying the requirement.
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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, and you must now configure it with the standard value choice.
Recommendation: Set the value to k=10.
Does this recommendation meet the requirement?
A
Yes
B
No