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Exam DP-100 topic 1 question 11 discussion

Actual exam question from Microsoft's DP-100

Question #: 11
Topic #: 1

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?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: A 🗳️

by dija123 at Dec. 15, 2021, 8:15 a.m.

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pancman

Highly Voted 3 years, 1 month ago

I highly doubt that anyone would ask you for what the usual value for k is, in an actual exam. I would skip this question.

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lianaliam

Most Recent 2 days, 16 hours ago

Selected Answer: A

k muss be 5 or 10

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emmanuelodenyire

8 months, 2 weeks ago

Selected Answer: A

The answer is A. Yes, because k=10 is a common choice for the number of folds in k-fold cross-validation, and it can satisfy the requirement to evaluate the model on a partial data sample. However, the appropriate value for k may depend on the size of the dataset and the desired level of accuracy. In some cases, a value other than 10 might be more appropriate.

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evangelist

1 year, 3 months ago

Selected Answer: A

The usual choice for k in k-fold cross-validation, especially in the context of evaluating machine learning models, is typically k=5 or k=10

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james2033

1 year, 7 months ago

Selected Answer: A

k = 10 . Quote 'The algorithm defaults to 10 folds if you have not previously partitioned the dataset. ' at https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/cross-validate-model?view=azureml-api-2#how-cross-validation-works

upvoted 1 times

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PradhanManva

1 year, 8 months ago

Selected Answer: A

This is the answer.

upvoted 1 times

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Skychaser

3 years, 1 month ago

Selected Answer: B

5 or 10

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ranjsi01

3 years, 4 months ago

5 or 10

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dija123

3 years, 5 months ago

Selected Answer: A

10 is the usual value choice

upvoted 1 times

CSLK

2 years, 4 months ago

The usual value choice for the k parameter in k-fold cross-validation is 10. This value is commonly used because it provides a good balance between having a high number of folds (which results in a lower bias but a higher variance) and a low number of folds (which results in a higher bias but a lower variance)

upvoted 1 times

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