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Databricks Certified Professional Data Scientist Exam - Topic 5 Question 71 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 71
Topic #: 5
[All Databricks Certified Professional Data Scientist Questions]

You are working in an ecommerce organization, where you are designing and evaluating a recommender system, you need to select which of the following metric wilt always have the largest value?

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Suggested Answer: E

by Olive at Sep 15, 2024, 08:02 PM

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Kanisha
4 months ago
Sum of Errors can be misleading, not always the largest.
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Soledad
5 months ago
Definitely A, it accounts for larger errors more heavily.
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Quentin
5 months ago
Wait, how can RMSE always be the largest? Sounds off.
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Veronique
5 months ago
I think MAE could be larger in some cases.
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Kassandra
5 months ago
RMSE usually has the largest value due to squaring errors.
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Sylvie
6 months ago
I’m leaning towards RMSE being the largest, but I wonder if there are cases where the Sum of Errors could be larger too.
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Rene
6 months ago
I practiced a similar question where we compared different error metrics, and I think MAE is usually smaller than RMSE.
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Rex
6 months ago
I think the Sum of Errors could also be quite large, especially if the errors are significant. This question feels tricky.
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Harris
6 months ago
I remember we discussed that RMSE tends to be larger because it squares the errors, but I'm not entirely sure if it always has the largest value.
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Coral
6 months ago
I think the key here is to consider how each metric behaves. MAE is likely to be the largest since it doesn't square the errors like RMSE does.
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Marg
6 months ago
I'm a bit confused on the differences between these metrics. I'll need to review my notes on recommender system evaluation to make sure I understand the implications of each one.
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Cristen
6 months ago
I'm leaning towards Mean Absolute Error (MAE) as the answer. It's a more robust metric that doesn't penalize outliers as heavily as RMSE.
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Raylene
6 months ago
Okay, let me see. I know that RMSE is sensitive to outliers, so that might not be the largest. Sum of errors could be negative, so that's probably not it either.
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Elza
6 months ago
Hmm, this is a tricky one. I'll need to think carefully about the properties of these different error metrics.
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Carey
6 months ago
Hmm, I'm not totally sure about this one. I'm thinking it might be option B - Marketing suspended leads, but I'm not 100% confident.
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Renea
1 year ago
I'm going with C. It just makes the most sense to me. Although, I do enjoy a good Root Mean Square Error every now and then. Keeps things spicy, you know?
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Nikita
1 year ago
I'm leaning towards A, but C does have its merits.
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Laurena
1 year ago
I see where you're coming from, but I still think C is the best option.
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Jaime
1 year ago
I prefer D, it covers a wider range of errors.
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Margret
1 year ago
I think C is the way to go too. It's a solid choice.
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Colette
2 years ago
E. Information is not good enough? Well, that's just lazy. Come on, we can do better than that!
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Marti
1 year ago
D) Both 1 and 2
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Carlene
1 year ago
C) Mean Absolute Error
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Jesusita
1 year ago
A) Root Mean Square Error
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Tish
2 years ago
D. Both 1 and 2? Really? That's a bit of a cop-out, isn't it?
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Luann
1 year ago
E) Information is not good enough.
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Izetta
1 year ago
C) Mean Absolute Error
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Casie
1 year ago
A) Root Mean Square Error
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Valentin
2 years ago
Hmm, I'm not sure about this one. I'll have to think it through carefully.
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Tom
1 year ago
Let's double check the calculations before making a decision.
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Krystina
1 year ago
I'm leaning towards D) Both 1 and 2.
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Rolland
1 year ago
I believe it's between A) and C) Mean Absolute Error.
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Rolande
1 year ago
I think the answer is A) Root Mean Square Error.
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Percy
2 years ago
I'm not sure, but I think C) Mean Absolute Error could also have a large value depending on the data.
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Catina
2 years ago
I agree with Hubert, RMSE is commonly used in recommender systems.
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Reynalda
2 years ago
I think the answer is C. Mean Absolute Error is always the largest value compared to the other options.
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Justa
1 year ago
Great, it's an important metric to consider when evaluating the performance of a recommender system.
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Chanel
1 year ago
Yes, that's correct. It measures the average magnitude of errors without considering their direction.
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Yesenia
1 year ago
I agree, Mean Absolute Error is always the largest value.
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Shantay
1 year ago
E) Information is not good enough.
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Lazaro
1 year ago
D) Both 1 and 2
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Tiera
2 years ago
C) Mean Absolute Error
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Ena
2 years ago
B) Sum of Errors
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Theodora
2 years ago
A) Root Mean Square Error
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Hubert
2 years ago
I think the answer is A) Root Mean Square Error.
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