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Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 1 Question 42 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam
Question #: 42
Topic #: 1
[All Databricks-Certified-Professional-Data-Scientist Questions]

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be......

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Suggested Answer: C

by Justine at May 29, 2023, 07:08 PM

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Boris
5 days ago
Ah, this is a classic question. I'm pretty sure the correct answer is C - both numerical and categorical variables can be used in logistic regression.
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Mattie
6 days ago
Actually, I think the correct answer is C) Both 1 and 2 are correct because logistic regression can use both numerical and categorical variables.
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Amie
7 days ago
I disagree, I believe the answer is B) Categorical.
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Mattie
9 days ago
I think the answer is A) Numerical.
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Gilberto
9 days ago
Of course, logistic regression can handle both numerical and categorical variables! How else would we be able to model complex real-world scenarios?
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Wynell
11 days ago
Actually, I think the correct answer is C) Both 1 and 2 are correct because logistic regression can use both numerical and categorical variables.
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Crista
14 days ago
I disagree, I believe the answer is B) Categorical.
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Wynell
21 days ago
I think the answer is A) Numerical.
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