New Year Sale ! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 4 Question 53 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam
Question #: 53
Topic #: 4
[All Databricks-Certified-Professional-Data-Scientist Questions]

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

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Carlee
7 months ago
Actually, I think N-fold cross-validation is needed when there are categorical variables in the model.
upvoted 0 times
...
Lorenza
7 months ago
I disagree, I believe we should use N-fold cross-validation when there are missing values in the data.
upvoted 0 times
...
Lachelle
8 months ago
I think we need to implement N-fold cross-validation when there is not enough data to create a test set.
upvoted 0 times
...

Save Cancel