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?

Ak=0.5

Bk=0

Ck=5

Dk=1

Show Suggested Answer

Suggested Answer: B

by Amie at Jul 18, 2024, 07:05 PM

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3 days ago

10 is the way to go! It's a good balance between computational cost and model evaluation accuracy.

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11 days ago

A k-value of 1 for k-fold cross-validation? Really? That's just plain old holdout validation, not cross-validation at all!

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20 days ago

I'm not sure, but I think k=10 provides a good balance between bias and variance in the model evaluation.

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21 days ago

I agree with Kirby, k=10 is a common choice for k-fold cross validation.

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25 days ago

I think we should use k=10 for cross-validation.

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