GATE DA 2024 Set 1 — Question 18
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Machine Learning → Classification → Logistic Regression
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Question
Match the items in Column 1 with the items in Column 2 in the following table:
| Column 1 | Column 2 |
|---|---|
| (p) Principal Component Analysis | (i) Discriminative Model |
| (q) Naïve Bayes Classification | (ii) Dimensionality Reduction |
| (r) Logistic Regression | (iii) Generative Model |
Correct answer
(C) (p) − (ii), (q) − (iii), (r) − (i)
Solution
1.Principal Component Analysis (PCA) is a technique used for Dimensionality Reduction (ii).
2.Naïve Bayes Classification models the joint probability
P(X, Y) (or and P(Y)) and is a Generative Model (iii).3.Logistic Regression models the conditional probability directly and is a Discriminative Model (i).
Therefore, the correct matching is (p) − (ii), (q) − (iii), (r) − (i).Continue learning with Success Tracker
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