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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?

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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

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Oretha
10 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.
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Selma
10 months ago
Haha, Full Dependence Plots (FDP)? Is that like the over-caffeinated version of PDP? I'll stick with C, the classic choice.
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Jennie
10 months ago
FDP sounds intense, I'll stick with the classic choice as well.
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Edelmira
10 months ago
Yeah, PDP is a reliable tool for gaining insights.
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Alona
10 months ago
I prefer C too, it's a classic choice.
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Markus
11 months ago
I believe numpy plots are also helpful in understanding the relationship between features and predictions.
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Alyce
11 months ago
I think Partial dependence plots (PDP) is the most useful tool.
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Wenona
11 months ago
I prefer sklearn plots for gaining insights into the relationship between features and predictions.
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Layla
11 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.
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Jamal
10 months ago
Definitely, PDP is a useful tool for analyzing the relationship between features and predictions.
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Bo
10 months ago
I think PDP is the way to go for gaining insights into feature predictions.
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Anglea
10 months ago
I agree, PDP is really helpful in understanding feature impact.
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Barabara
11 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.
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Shawn
10 months ago
Sklearn plots are also a good option for visualizing the relationship between features and predictions.
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Matthew
10 months ago
I prefer using numpy plots for gaining insights into relationships between features and predictions.
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Alica
10 months ago
I haven't tried PDP before, but it sounds like a great tool to use.
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Casandra
11 months ago
I agree, PDP is really useful for understanding feature-prediction relationships.
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