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September 2025 term · Machine Learning Foundations · BSCS2004

Machine Learning Foundations Quiz 1: 26 October 2025 (September 2025 term)

The IIT Madras BS Machine Learning Foundations (MLF) Quiz 1 paper sat on 26 Oct 2025, in the September 2025 term: 18 questions for 40 marks in 120 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.

Questions
18
Marks
40
Duration
120 min
MCQ
12
MSQ
2
Numerical
4

Updated

Official paper: IIT M DIPLOMA AN EXAM QDD2 26 Oct 2025 · No negative marking.

Question 1

+1 markOne correct option

A bank wants to decide whether a loan applicant should be given a loan or not, based on features like income, credit score and past records. Which of the following machine learning techniques is applicable for this scenario?

  1. A

    Regression

  2. B

    Classification

  3. C

    Clustering

  4. D

    Dimensionality Reduction

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Correct answer

  • B

    Classification

Question 2

+3 marksOne correct option
  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • A

Question 3

+2 marksOne or more correct options

Select all that apply.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answers

  • B
  • C
  • D

Question 4

+3 marksNumerical answer

Consider the following dataset where each data point consists of three features x1,x2x_1, x_2 and x3x_3 as

(2,4,3),(5,5,6),(2,2,1),(4,4,6)(2, 4, 3), (5, 5, 6), (2, 2, 1), (4, 4, 6)

Suppose the encoder and decoder functions, ff and gg respectively, are defined as

f(x1,x2,x3)=0.5x1+0.5x2−x3andg(u)=[u,u,u].f(x_1, x_2, x_3) = 0.5x_1 + 0.5x_2 - x_3 \quad \text{and} \quad g(u) = [u, u, u].

Find the reconstruction loss.

Hint : “The reconstruction loss of the encoder decoder pair is the mean of the squared distance between the actual input and reconstructed input.”

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Correct answer: 72

Question 5

+3 marksNumerical answer
Show answer

Correct answer: 1024

Question 6

+2 marksNumerical answer
Show answer

Correct answer: 0

Question 7

+3 marksOne correct option

Based on the above data, answer the given subquestions.

Which of these models has the smallest squared loss on this training dataset?

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • A

Question 8

+2 marksOne correct option

Based on the above data, answer the given subquestions.

  1. A

    No

  2. B

    Yes

  3. C

    Insufficient information to answer the question

Show answer

Correct answer

  • A

    No

Question 9

+3 marksOne correct option

Based on the above data, answer the given subquestions.

Which of the following sets forms a basis for the row space of A?

  1. A

    {(1, 0, 2), (0, 1,−1)}

  2. B

    {(1, 0, 2), (0, 1,−1), (0, 0,−1)}

  3. C

    {(1, 0, 2), (0,−1, 1), (0,−1,−4)}

  4. D

    {(0, 1,−1), (0, 0,−4)}

Show answer

Correct answer

  • B

    {(1, 0, 2), (0, 1,−1), (0, 0,−1)}

Question 10

+2 marksOne correct option

Based on the above data, answer the given subquestions.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • C

Question 11

+2 marksOne or more correct options

Based on the above data, answer the given subquestions.

Which of the following is/are true?

Select all that apply.

  1. A

    A is an orthogonal matrix

  2. B

    A is invertible

  3. C

    A is symmetric

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Correct answers

  • A

    A is an orthogonal matrix

  • B

    A is invertible

Question 12

+3 marksOne correct option

Based on the above data, answer the given subquestions.

Which of the following is true?

  1. A

    A does not have real eigenvalues

  2. B

    A has two distinct real eigenvalues

  3. C

    A has two real eigenvalues, not necessarily distinct

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Correct answer

  • A

    A does not have real eigenvalues

Question 13

+2 marksOne correct option

There is no common data for this question. There are three independent sub-questions for which you have to answer True/False.

If a square matrix A is diagonalizable, then A is invertible.

  1. A

    True

  2. B

    False

Show answer

Correct answer

  • B

    False

Question 14

+1 markOne correct option

There is no common data for this question. There are three independent sub-questions for which you have to answer True/False.

The eigenvalues of a real symmetric matrix are real.

  1. A

    True

  2. B

    False

Show answer

Correct answer

  • A

    True

Question 15

+2 marksOne correct option

There is no common data for this question. There are three independent sub-questions for which you have to answer True/False.

A square matrix A of shape n x n is diagonalizable if and only if it has n distinct eigenvalues.

  1. A

    True

  2. B

    False

Show answer

Correct answer

  • B

    False

Question 16

+2 marksOne correct option

Based on the above data, answer the given subquestions.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answer

  • A

Question 17

+2 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: 1

Question 18

+2 marksOne correct option

Based on the above data, answer the given subquestions.

  1. A

    (A)

  2. B

    (B)

Show answer

Correct answer

  • A

    (A)