Databricks Certified Professional Data Scientist Exam - Topic 6 Question 75 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam

Question #: 75
Topic #: 6

[All Databricks Certified Professional Data Scientist Questions]

A fruit may be considered to be an apple if it is red, round, and about 3" in diameter. A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of the

APresence of the other features.

BAbsence of the other features.

CPresence or absence of the other features

DNone of the above
In simple terms, a naive Bayes classifier assumes that the value of a particular feature is unrelated to the presence or absence of any other feature, given the class variable. For example, a fruit may be considered to be an apple if it is red, round, and about 3' in diameter A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of the presence or absence of the other features.

Show Suggested Answer

Suggested Answer: B, C

by Lettie at Nov 12, 2024, 11:37 PM

Limited Time Offer

25%

Off

Get Premium Databricks Certified Professional Data Scientist Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Art

3 months ago

Not sure about this, feels like there's more to it.

upvoted 0 times

...

Jackie

3 months ago

I agree with A, it's all about independence in this case.

upvoted 0 times

...

Naomi

3 months ago

Wait, so it doesn't care about other features? That's surprising!

upvoted 0 times

...

Brunilda

4 months ago

I thought it was C? Seems like they all matter together.

upvoted 0 times

...

Sherell

4 months ago

Definitely A, that's how naive Bayes works!

upvoted 0 times

...

Bernardine

4 months ago

I believe the key point is that it treats features independently, so I think A is the right choice. But I could see how C might seem plausible too.

upvoted 0 times

...

Delmy

4 months ago

I’m a bit confused about this one. I thought naive Bayes just looked at each feature separately, but does that mean it ignores everything else?

upvoted 0 times

...

Rusty

4 months ago

I remember practicing a similar question where we discussed how features interact in classifiers. I think it’s definitely about the presence or absence of other features, so maybe C?

upvoted 0 times

...

Melynda

5 months ago

I think the naive Bayes classifier assumes independence between features, so I’m leaning towards option A. But I'm not completely sure.

upvoted 0 times

...

Tresa

5 months ago

Easy peasy. The question is testing our understanding of the independence assumption in naive Bayes. The answer is clearly C, since the classifier considers each feature independently, regardless of the others.

upvoted 0 times

...

Chandra

5 months ago

Okay, I've got this. A naive Bayes classifier looks at each feature individually, so it doesn't matter if the other features are present or absent. The answer has to be C - the presence or absence of the other features.

upvoted 0 times

...

Barbra

5 months ago

Hmm, I'm a bit confused by this one. I know naive Bayes assumes independence, but I'm not sure if that means it considers the presence or absence of other features. Let me think this through carefully.

upvoted 0 times

...

Sueann

5 months ago

This question seems straightforward. I think the key is understanding that a naive Bayes classifier assumes the features are independent, so the presence or absence of other features doesn't matter.

upvoted 0 times

...

Angella

10 months ago

This question is so apple-ling, I can't even. But I'm glad I now know the correct answer, or I'd be in a real jam.

upvoted 0 times

Ellsworth

9 months ago

D: Thanks for clarifying, I was confused too.

upvoted 0 times

...

Yuriko

9 months ago

C: No, A is correct. Each feature is considered independently.

upvoted 0 times

...

Azzie

9 months ago

B: Really? I thought it was C) Presence or absence of the other features.

upvoted 0 times

...

Yuki

10 months ago

A: The answer is A) Presence of the other features.

upvoted 0 times

...

Matthew

10 months ago

Wait, so the classifier doesn't even consider if the fruit has a worm in it? That's some serious fruit discrimination if you ask me!

upvoted 0 times

Margo

10 months ago

User 2: Yeah, the classifier assumes each feature contributes independently to the probability of the fruit being an apple.

upvoted 0 times

...

Sabine

10 months ago

User 1: It doesn't matter if the fruit has a worm, the classifier only looks at specific features.

upvoted 0 times

...

Letha

10 months ago

Hmm, I was a bit unsure about this one. But now it makes sense - the classifier doesn't care if the apple is also juicy or has a stem, as long as it's red, round, and 3 inches wide.

upvoted 0 times

...

Malissa

11 months ago

Ah, I see! So, it's like saying the fruit's color doesn't depend on whether it's round or not. That's a pretty neat assumption for a classifier to make.

upvoted 0 times

...

Clorinda

11 months ago

But wouldn't the presence or absence of other features affect the probability of the fruit being an apple?

upvoted 0 times

...

Becky

11 months ago

The correct answer is C) Presence or absence of the other features. A naive Bayes classifier assumes that each feature contributes independently to the probability of the class variable, regardless of the presence or absence of the other features.

upvoted 0 times