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Exam DP-100 topic 3 question 60 discussion

Actual exam question from Microsoft's DP-100
Question #: 60
Topic #: 3
[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?

  • A. k=0.5
  • B. k=0.01
  • C. k=5
  • D. k=1
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Suggested Answer: C 🗳️

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RSMCT2011
Highly Voted 5 years ago
The choice of k is usually 5 or 10, but there is no formal rule. As k gets larger, the difference in size between the training set and the resampling subsets gets smaller. As this difference decreases, the bias of the technique becomes smaller https://machinelearningmastery.com/k-fold-cross-validation/
upvoted 16 times
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avinyc
Most Recent 6 months, 1 week ago
Selected Answer: C
It should be C (k=5)
upvoted 1 times
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kay1101
7 months, 3 weeks ago
Selected Answer: C
It's C. usually 5 or 10.
upvoted 1 times
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james2033
1 year, 2 months ago
Selected Answer: C
Default value of k-fold cross-validation is 10 . https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/cross-validate-model?view=azureml-api-2#how-cross-validation-works . Choose nearest answer, it is C with k = 5 .
upvoted 1 times
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orionduo
1 year, 4 months ago
Selected Answer: C
5 is correct
upvoted 1 times
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synapse
2 years, 10 months ago
Selected Answer: B
B. 10 is the answer
upvoted 2 times
roncil
1 year, 11 months ago
B. 0.01 is not 10 that's wrong. I think the best answer is 5
upvoted 3 times
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SnowCheetah
3 years, 7 months ago
based on process on elimination K cannot be less than 1, thus 0.9, 0.5 K= 1 meaning does experiment only 1 time which shouldn't do fo k fold validation Thus k =10 is possible correct answer In the choice number of K, there is not formal value that should do. https://machinelearningmastery.com/k-fold-cross-validation/
upvoted 4 times
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levm39
3 years, 7 months ago
k=5, answer is missing
upvoted 1 times
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ATT
4 years, 4 months ago
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/cross-validate-model
upvoted 2 times
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A (35%)
C (25%)
B (20%)
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