Designing and Implementing a Data Science Solution on Azure — Question 45

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation.
You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice.
Recommendation: You configure the use of the value k=10.
Will the requirements be satisfied?

Answer options

• A. Yes
• B. No

Correct answer: A

Explanation

The recommendation to use k=10 for cross-validation aligns with common practices, as 10 is a frequently used value for k that balances bias and variance effectively. The other option, 'No', is incorrect because it does not acknowledge that k=10 is an accepted standard in cross-validation, thus fulfilling the requirements.