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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

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

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Noble
29 days ago
Wait, is k-fold cross-validation the new crypto trend? I'm going to invest all my life savings in it!
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Janae
1 months ago
0.9? Hmm, looks like someone's trying to game the system. Nice try, but k-fold cross-validation requires whole numbers!
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Sabina
1 months ago
0.5? What is this, a discount voucher? The k-value has to be a positive integer, folks!
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Alberto
1 months ago
10 is the way to go! It's a good balance between computational cost and model evaluation accuracy.
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Gwenn
4 days ago
D) k=0.9
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Sonia
5 days ago
C) k=0.5
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Shaun
12 days ago
B) k=10
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Derick
25 days ago
A) k=1
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Cyril
2 months 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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Tonette
2 days ago
D) k=0.9
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Cherry
3 days ago
C) k=0.5
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Delmy
11 days ago
B) k=10
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Virgie
12 days ago
A) k=1
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Meaghan
2 months 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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Bette
2 months ago
I agree with Kirby, k=10 is a common choice for k-fold cross validation.
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Kirby
2 months ago
I think we should use k=10 for cross-validation.
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a