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GATE DA 2024 Q18: Match PCA, naive Bayes and logistic regression to model types

Question

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

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Answer: C (official GATE 2024 final answer key)

Concept used: Generative models learn P(x,y)P(x, y); discriminative models learn P(y∣x)P(y \mid x) directly.

First step: PCA reduces dimensions; naive Bayes models P(x∣y)P(y)P(x \mid y)P(y) (generative); logistic regression models P(y∣x)P(y \mid x) (discriminative).

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Source: official GATE 2024 DA question paper and final answer key, organised by IISc Bangalore. Question paper · Answer key

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