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Data Science and Artificial Intelligence

GATE DA concept:support-vector-machine PYQs

Build your understanding with focused practice from past exam papers.

How to practice concept:support-vector-machine

Attempt a question, record the concept and assumptions, then check the available answer. Rework mistakes after revising the relevant concepts. Topic tags can overlap; review the question context.

GATE DA syllabus

Questions 1–2 of 2. Imported answers require independent review unless marked reviewed.

Topic practice 2 questionsPage 1 of 1

Question 53

Open question
daMSQ2 marksNeeds review
Consider designing a linear binary classifier

,

on the following training data:
Class-1:

, Class-2:

Hard-margin support vector machine (SVM) formulation is solved to obtain

and

. Which of the following options is/are correct?
Your answerSelect all correct options. You can choose more than one.

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Question 17

Open question
DAMCQ1 markNeeds review
Consider the dataset with six datapoints:

, where

,

,

,

,

,

and the labels are given by

, and

. A hard margin linear support vector machine is trained on the above dataset. Which ONE of the following sets is a possible set of support vectors?
Your answerChoose one option.

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