Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 4 Question 38 Discussion

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

Question #: 38
Topic #: 4

[All Databricks-Certified-Professional-Data-Scientist Questions]

Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then which of the following technique best fit.

ASupport vector machines

BNaive Bayes

CLogistic regression

DRandom decision forests

EAll of the above
In this problem you have been given high-dimensional independent variables like yeS; nO; no English words , test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem.
* Support vector machines
* Naive Bayes
* Logistic regression
* Random decision forests

Show Suggested Answer

Suggested Answer: C

by Scarlet at Feb 25, 2023, 02:49 AM

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Barrett

5 days ago

I think Logistic Regression is the way to go here. It's designed for binary classification problems like this one, and it can handle high-dimensional data pretty well.

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