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Databricks Exam Databricks-Certified-Professional-Data-Scientist 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?

ARoot Mean Square Error

BSum of Errors

CMean Absolute Error

DBoth land 2

EInformation is not good enough.

Show Suggested Answer

Suggested Answer: E

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

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Renea

22 days 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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Jaime

1 days ago

I prefer D, it covers a wider range of errors.

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Margret

6 days ago

I think C is the way to go too. It's a solid choice.

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Colette

28 days ago

E. Information is not good enough? Well, that's just lazy. Come on, we can do better than that!

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Jesusita

4 days ago

A) Root Mean Square Error

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Tish

1 months ago

D. Both 1 and 2? Really? That's a bit of a cop-out, isn't it?

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Luann

9 days ago

E) Information is not good enough.

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Izetta

17 days ago

C) Mean Absolute Error

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Casie

25 days ago

A) Root Mean Square Error

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Valentin

1 months ago

Hmm, I'm not sure about this one. I'll have to think it through carefully.

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Tom

7 days ago

Let's double check the calculations before making a decision.

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Krystina

8 days ago

I'm leaning towards D) Both 1 and 2.

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Rolland

9 days ago

I believe it's between A) and C) Mean Absolute Error.

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Rolande

17 days ago

I think the answer is A) Root Mean Square Error.

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Percy

2 months 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 months ago

I agree with Hubert, RMSE is commonly used in recommender systems.

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Reynalda

2 months 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

11 days ago

Great, it's an important metric to consider when evaluating the performance of a recommender system.

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Chanel

12 days ago

Yes, that's correct. It measures the average magnitude of errors without considering their direction.

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Yesenia

19 days ago

I agree, Mean Absolute Error is always the largest value.

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Shantay

21 days ago

E) Information is not good enough.

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Lazaro

22 days ago

D) Both 1 and 2

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Tiera

29 days ago

C) Mean Absolute Error

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Ena

1 months ago

B) Sum of Errors

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Theodora

1 months ago

A) Root Mean Square Error

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Hubert

2 months ago

I think the answer is A) Root Mean Square Error.

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