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Databricks Certified Professional Data Scientist Exam - Topic 6 Question 15 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 15
Topic #: 6
[All Databricks Certified Professional Data Scientist Questions]

Under which circumstance do you need to implement N-fold cross-validation after creating a regression model?

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Suggested Answer: B

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Rosalyn
4 months ago
I thought categorical variables needed special handling, not N-fold.
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Deonna
4 months ago
C is not a reason for N-fold, just clean your data first!
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Talia
4 months ago
Wait, can you really use it for unformatted data? Seems off.
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Rebeca
4 months ago
Totally agree, B is the right choice!
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Nakisha
5 months ago
N-fold cross-validation is great when you lack enough data for a test set.
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Portia
5 months ago
I practiced a question about categorical variables, but I don't think that specifically requires N-fold cross-validation.
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Justine
5 months ago
I feel like missing values could complicate things, but I don't recall if that directly relates to needing N-fold cross-validation.
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Callie
5 months ago
I think we might need it if we can't create a proper test set, like when the data is limited.
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Mozell
5 months ago
I remember that N-fold cross-validation is often used when the dataset is small, but I'm not sure if that's the only reason.
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Amie
5 months ago
This seems like a straightforward question about behavioral principles. I'll carefully read through the options and think about which one best describes the situation presented.
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Georgeanna
5 months ago
C looks like it could be correct. I just can't recall if it includes the right subnet mask.
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Myra
5 months ago
I'm pretty confident about this one. The key is understanding Regulation T and when brokers can overlook amounts due in a customer's account.
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Yolande
5 months ago
Hmm, I'm a bit unsure about this one. Should we be presenting a project charter instead? That might give management a clearer picture of the overall project scope and objectives.
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