Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Microsoft Exam DP-100 Topic 2 Question 108 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 108
Topic #: 2
[All DP-100 Questions]

You are solving a classification task.

You must evaluate your model on a limited data sample by using k-fold cross validation. You start by

configuring a k parameter as the number of splits.

You need to configure the k parameter for the cross-validation.

Which value should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Meaghan
7 days ago
I'm not sure, but I think k=10 provides a good balance between bias and variance in the model evaluation.
upvoted 0 times
...
Bette
8 days ago
I agree with Kirby, k=10 is a common choice for k-fold cross validation.
upvoted 0 times
...
Kirby
12 days ago
I think we should use k=10 for cross-validation.
upvoted 0 times
...

Save Cancel