Answer-first summary for fast verification
Answer: No
The question asks whether using k=1 for k-fold cross-validation satisfies the requirement of using the 'usual value choice'. In k-fold cross-validation, the standard practice is to use values between 5 and 10 (commonly k=5 or k=10), as these provide a good balance between bias and variance in performance estimation. Using k=1 would essentially be equivalent to a simple train-test split, which defeats the purpose of cross-validation and doesn't provide reliable performance estimates. The community discussion clearly supports this, with multiple comments stating that the usual values are 5 or 10, and the consensus answer is 'No' with 100% agreement in the community responses.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You need to evaluate a model using k-fold cross-validation on a partial data sample. The k parameter for the number of splits has already been set. You must now set the k parameter for cross-validation using the standard value choice.
The recommendation is to use a value of k=1.
Does this recommendation meet the requirement?
A
Yes
B
No
No comments yet.