Select the correct statement which applies to Principal component analysis (PCA)

The correct answer is A. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a. Principal component analysis (PCA) involves a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrected variables called principal components. The first principal component accounts for as much of the variability…

Feature Engineering and Dimensionality Reduction

Question

Options

AIs a mathematical procedure that transforms a number of (possibly) correlated variables into a
BIs a mathematical procedure that transforms a number of (possibly) correlated variables into a
CIncrease the dimensionality of the data set.
D1 and 3 are correct
E1 and 2 are correct

How the community answered

(24 responses)

A
79% (19)
C
4% (1)
D
4% (1)
E
13% (3)

Explanation

Principal component analysis (PCA) involves a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrected variables called principal components. The first principal component accounts for as much of the variability in the data as possible, and each succeeding component accounts for as much of the remaining variability as possible.

Topics

#PCA#dimensionality reduction#correlated variables#feature transformation

Community Discussion

No community discussion yet for this question.

Full DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Practice