The GATE Grind

GATE 2024 DA – Question 18

Machine Learning · Supervised learning: classification · 1 mark · Multiple choice

Match the items in Column 1 with the items in Column 2 in the following table:

Column 1Column 2
(p) Principal Component Analysis(i) Discriminative Model
(q) Naïve Bayes Classification(ii) Dimensionality Reduction
(r) Logistic Regression(iii) Generative Model
  1. (p) − (iii), (q) − (i), (r) − (ii)
  2. (p) − (ii), (q) − (i), (r) − (iii)
  3. (p) − (ii), (q) − (iii), (r) − (i)
  4. (p) − (iii), (q) − (ii), (r) − (i)

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Show answer and explanation

Correct answer: (C) (p) − (ii), (q) − (iii), (r) − (i)

Explanation

PCA reduces the number of dimensions. Naive Bayes models the joint distribution $P(x, y) = P(y)P(x|y)$, so it is a generative model. Logistic regression models $P(y|x)$ directly, so it is a discriminative model.