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September 2022 term · Machine Learning Foundations · BSCS2004

MLF Quiz 1: 16 October 2022 (September 2022 term)

The IIT Madras BS Machine Learning Foundations (MLF) Quiz 1 paper sat on 16 Oct 2022, in the September 2022 term: 15 questions for 50 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
15
Marks
50
Duration
120 min
Numerical
11
MSQ
3
MCQ
1
Take as mock testPractise with answers

Updated

Official paper: IIT M QUIZ 1 FOUNDATION DAD DIPLOMA QPD2 16 Oct 2022 · No negative marking.

Question 1

+4 marksNumerical answer

The ML team in a movie production company wanted to predict whether a movie will earn 100 cr or not by using some classification models. Therefore, the team collected presence/absence of various factors x=[x1,x2,x3]\mathbf{x} = [x_1, x_2, x_3] from the movies in the past. The data and the corresponding labels are shown in the Table below.

x\mathbf{x}yy
[0,1,1]0
[1,0,1]1
[1,0,0]1
[1,1,1]1
[1,1,0]1

Compute the loss of the model if they use

u(z)={1,if z≥00,otherwiseu(z) = \begin{cases} 1, & \text{if } z \ge 0 \\ 0, & \text{otherwise} \end{cases}

and z=0.5x1−0.8x2+0.4x3z = 0.5x_1 - 0.8x_2 + 0.4x_3

Note: Enter the answer correct to two decimal places.

Show answer

Correct answer: 0.21 (accepted within ±0.03)

Question 1 on its own page

Question 2

+4 marksNumerical answer

Note: Enter the answer correct to two decimal places.

Show answer

Correct answer: 0.13 (accepted within ±0.03)

Question 2 on its own page

Question 3

+4 marksNumerical answer
Show answer

Correct answer: 2

Question 3 on its own page

Question 4

+4 marksOne or more correct options

Identify which of the following requires use of classification technique.

Select all that apply.

  1. A

    Credit card fraud detection.

  2. B

    Sentiment analysis.

  3. C

    Predicting whether an email is spam or not.

  4. D

    Predicting whether the patient is having cancer or not.

Show answer

Correct answers

  • A

    Credit card fraud detection.

  • B

    Sentiment analysis.

  • C

    Predicting whether an email is spam or not.

  • D

    Predicting whether the patient is having cancer or not.

Question 4 on its own page

Question 5

+4 marksOne or more correct options

Select all that apply.

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

Correct answers

  • A
  • D
Question 5 on its own page

Question 6

+4 marksOne or more correct options

Select all that apply.

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

Correct answers

  • A
  • C
  • D
Question 6 on its own page

Question 7

+3 marksNumerical answer
Show answer

Correct answer: 2.8

Question 7 on its own page

Question 8

+3 marksNumerical answer

Note: Enter the answer correct to two decimal places.

Show answer

Correct answer: 2.25 (accepted within ±0.15)

Question 8 on its own page

Question 9

+3 marksNumerical answer
Show answer

Correct answer: 0.75

Question 9 on its own page

Question 10

+3 marksNumerical answer
Show answer

Correct answer: 3

Question 10 on its own page

Question 11

+3 marksNumerical answer
Show answer

Correct answer: 4

Question 11 on its own page

Question 12

+3 marksNumerical answer
Show answer

Correct answer: 1297

Question 12 on its own page

Question 13

+3 marksNumerical answer
Show answer

Correct answer: -21

Question 13 on its own page

Question 14

+2 marksNumerical answer
Show answer

Correct answer: 1

Question 14 on its own page

Question 15

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

Correct answer

  • A
Question 15 on its own page