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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Noble

2 months 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

2 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

2 months ago

0.5? What is this, a discount voucher? The k-value has to be a positive integer, folks!

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Art

1 days ago

Sounds good, k=10 it is for the cross-validation.

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Jerlene

2 days ago

Let's go with k=10 then.

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Marylyn

3 days ago

You're right, k has to be a positive integer for cross-validation.

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Viola

5 days ago

D) k=0.9

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Coletta

7 days ago

C) k=0.5

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Izetta

9 days ago

B) k=10

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Ivette

10 days ago

A) k=1

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Alberto

2 months ago

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

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Belen

14 days ago

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

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Gwenn

21 days ago

D) k=0.9

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Sonia

22 days ago

C) k=0.5

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Shaun

29 days ago

B) k=10

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Derick

1 months 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

19 days ago

D) k=0.9

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Cherry

20 days ago

C) k=0.5

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Delmy

28 days ago

B) k=10

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Virgie

29 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

3 months ago

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

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