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Microsoft DP-100 Exam - 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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Mabel
3 months ago
Not sure about k=0.5, that sounds weird.
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Ocie
3 months ago
Totally agree, k=5 gives a good balance.
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Thea
3 months ago
Wait, can k even be 0? That seems off.
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Melodie
4 months ago
I think k=1 doesn't really help with validation.
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Pedro
4 months ago
k=5 is a common choice for k-fold!
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Bette
4 months ago
I feel like k=5 is a common choice, but I wonder if it depends on the size of the dataset we're working with.
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Clorinda
4 months ago
I practiced a similar question, and I think k=1 would just mean no cross-validation, which isn't useful.
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Rosalind
4 months ago
I think k=5 sounds reasonable, but I'm not entirely sure if that's the best choice for all datasets.
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Trinidad
5 months ago
I remember that k should be a positive integer, so options A and B definitely don't make sense.
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Azzie
5 months ago
I'm pretty confident that the right answer is C, k=5. That's the standard approach for k-fold cross-validation, where you split the data into k equal-sized subsets and use one for testing and the rest for training.
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Yvette
5 months ago
Okay, let me think this through. The question is asking for the value of k, which is the number of splits or folds. So the correct answer must be C, k=5.
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Roselle
5 months ago
Hmm, this seems straightforward. I think the value for k should be 5, since that's a common choice for k-fold cross-validation.
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Leonora
5 months ago
I'm a bit confused here. Isn't k supposed to be the number of folds? I'm not sure if 0.5 or 0 would make sense for that.
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Rocco
5 months ago
I feel pretty confident about this one. Based on my experience, the key things are having the customer community licenses, ensuring the community cloud license is installed, and creating a customer community profile. Those seem to be the most critical prerequisites before metalling the package.
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Noble
10 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
10 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
10 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
8 months ago
Sounds good, k=10 it is for the cross-validation.
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Jerlene
8 months ago
Let's go with k=10 then.
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Marylyn
8 months ago
You're right, k has to be a positive integer for cross-validation.
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Viola
8 months ago
D) k=0.9
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Coletta
8 months ago
C) k=0.5
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Izetta
9 months ago
B) k=10
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Ivette
9 months ago
A) k=1
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Alberto
10 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
9 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
9 months ago
D) k=0.9
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Sonia
9 months ago
C) k=0.5
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Shaun
9 months ago
B) k=10
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Derick
10 months ago
A) k=1
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Cyril
10 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
9 months ago
D) k=0.9
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Cherry
9 months ago
C) k=0.5
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Delmy
9 months ago
B) k=10
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Virgie
9 months ago
A) k=1
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Meaghan
11 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
11 months ago
I agree with Kirby, k=10 is a common choice for k-fold cross validation.
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Kirby
11 months ago
I think we should use k=10 for cross-validation.
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