Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 4 Question 17 Discussion

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

Question #: 17
Topic #: 4

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

The method based on principal component analysis (PCA) evaluates the features according to

AThe projection of the largest eigenvector of the correlation matrix on the initial dimensions

BAccording to the magnitude of the components of the discriminate vector

CThe projection of the smallest eigenvector of the correlation matrix on the initial dimensions

DNone of the above
Feature Selection:
The method based on principal component analysis (PCA) evaluates the features
according to the projection of the largest eigenvector of the correlation matrix on the
initial dimensions, the method based on Fisher's linear discriminate analysis
evaluates. Them according to the magnitude of the components of the discriminate
vector.

Show Suggested Answer

Suggested Answer: A

by Ernest at May 05, 2022, 10:55 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

Currently there are no comments in this discussion, be the first to comment!