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September 2025 term · Machine Learning Techniques · BSCS2007

Machine Learning Techniques End Term: 21 December 2025 (September 2025 term)

The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 21 Dec 2025, in the September 2025 term: 16 questions for 47 marks in 180 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.

Questions
16
Marks
47
Duration
180 min
MCQ
7
Numerical
6
MSQ
3

Updated

Official paper: Machine Learning Techniques 18 Dec 25 · No negative marking.

Question 1

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

Correct answer

  • B

Question 2

+2 marksOne correct option

What will be the cluster means after iteration 1?

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

Correct answer

  • D

Question 3

+3 marksNumerical answer

Find the value of the objective function

after convergence. Enter the answer correct to two decimal places.

Show answer

Correct answer: 8.655 (accepted within ±0.025)

Question 4

+2 marksOne correct option
  1. A

    True

  2. B

    False

Show answer

Correct answer

  • A

    True

Question 5

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

Correct answer

  • D

Question 6

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

Correct answer

  • C

Question 7

+3 marksNumerical answer
Show answer

Correct answer: 0.75

Question 8

+3 marksOne or more correct options

Select all that apply.

  1. A

    (A figure from the original paper is missing from the source site.)

  2. B

    (A figure from the original paper is missing from the source site.)

  3. C

    (A figure from the original paper is missing from the source site.)

  4. D

    (A figure from the original paper is missing from the source site.)

Show answer

Correct answers

  • A

    (A figure from the original paper is missing from the source site.)

  • D

    (A figure from the original paper is missing from the source site.)

Question 9

+4 marksNumerical answer
Show answer

Correct answer: 0.276 (accepted within ±0.003)

Question 10

+4 marksNumerical answer
Show answer

Correct answer: 1.336 (accepted within ±0.003)

Question 11

+3 marksOne correct option
  1. A

    True

  2. B

    False

Show answer

Correct answer

  • B

    False

Question 12

+3 marksOne or more correct options

Select all that apply.

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

Correct answers

  • B
  • C

Question 13

+4 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: 0.1

Question 14

+3 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: 1.21 (accepted within ±0.02)

Question 15

+2 marksOne correct option

AdaBoost uses decision stumps as weak learners. Assume the initial distribution of the dataset assigns equal weights to all data points, i.e.,

Based on the above data, answer the given subquestions.

Which point will be misclassified by the first decision stump?

  1. A

    Points 4

  2. B

    Points 5

  3. C

    Points 3

  4. D

    Points 1

Show answer

Correct answer

  • B

    Points 5

Question 16

+4 marksOne or more correct options

AdaBoost uses decision stumps as weak learners. Assume the initial distribution of the dataset assigns equal weights to all data points, i.e.,

Based on the above data, answer the given subquestions.

Select all that apply.

  1. A

    Points 1 and 2

  2. B

    Points 3 and 4

  3. C

    Points 3 and 5

  4. D

    Points 1 and 5

Show answer

Correct answers

  • A

    Points 1 and 2

  • B

    Points 3 and 4