Snowflake Exam DSA-C02 Topic 1 Question 30 Discussion

Actual exam question for Snowflake's DSA-C02 exam

Question #: 30
Topic #: 1

[All DSA-C02 Questions]

Which of the following is a useful tool for gaining insights into the relationship between features and predictions?

Anumpy plots

Bsklearn plots

CPartial dependence plots(PDP)

DFULL dependence plots (FDP)

Show Suggested Answer

Suggested Answer: C

Partial dependence plots (PDP) is a useful tool for gaining insights into the relationship between features and predictions. It helps us understand how different values of a particular feature impact model's predictions.

by Gwenn at Sep 16, 2024, 03:15 PM

Limited Time Offer

25%

Off

Get Premium DSA-C02 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Oretha

6 months ago

C) Partial dependence plots, no doubt. It's a great way to visualize and interpret the effects of features on the model output.

upvoted 0 times

...

Selma

6 months ago

Haha, Full Dependence Plots (FDP)? Is that like the over-caffeinated version of PDP? I'll stick with C, the classic choice.

upvoted 0 times

Jennie

6 months ago

FDP sounds intense, I'll stick with the classic choice as well.

upvoted 0 times

...

Edelmira

6 months ago

Yeah, PDP is a reliable tool for gaining insights.

upvoted 0 times

...

Alona

6 months ago

I prefer C too, it's a classic choice.

upvoted 0 times

...

Markus

6 months ago

I believe numpy plots are also helpful in understanding the relationship between features and predictions.

upvoted 0 times

...

Alyce

7 months ago

I think Partial dependence plots (PDP) is the most useful tool.

upvoted 0 times

...

Wenona

7 months ago

I prefer sklearn plots for gaining insights into the relationship between features and predictions.

upvoted 0 times

...

Layla

7 months ago

Hmm, I'd have to go with C as well. PDP is a powerful tool for understanding the impact of individual features on the model's predictions.

upvoted 0 times

Jamal

6 months ago

Definitely, PDP is a useful tool for analyzing the relationship between features and predictions.

upvoted 0 times

...

Bo

6 months ago

I think PDP is the way to go for gaining insights into feature predictions.

upvoted 0 times

...

Anglea

6 months ago

I agree, PDP is really helpful in understanding feature impact.

upvoted 0 times

...

Barabara

7 months ago

C) Partial dependence plots (PDP) is definitely the way to go for gaining insights into feature-prediction relationships. I used it in my last project and it was super helpful.

upvoted 0 times