Answer-first summary for fast verification
Answer: No
The question asks whether setting k=1 for k-fold cross-validation satisfies the requirement of using the 'usual value choice'. In k-fold cross-validation, k represents the number of splits/folds, and the standard values are typically 5 or 10, as these provide a good balance between bias and variance in performance estimation. Setting k=1 is equivalent to no cross-validation at all (just a single train-test split), which defeats the purpose of cross-validation. The community discussion clearly supports this, with multiple comments stating that usual values are 5 or 10, and k=1 is not appropriate. The consensus answer 'B' (No) with 100% community agreement confirms that k=1 does not meet the requirement.
Author: LeetQuiz Editorial Team
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You are evaluating a model on a limited data sample using k-fold cross-validation. The number of splits, k, has already been set. You must now set k to its standard value for cross-validation.
Recommendation: Set the value to k=1.
Does this recommendation meet the requirement?
A
Yes
B
No
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