Machine Learning Techniques Quiz 2: 12 April 2026, Set 1-2 (January 2026 term)
The IIT Madras BS Machine Learning Techniques (MLT) Quiz 2 paper sat on 12 Apr 2026, in the January 2026 term, set 1-2: 15 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.
- 15
- 40
- 120 min
- 7
- 2
- 6
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Question 2
0.001
0.1
1.0
10.0
100
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1.0
Question 3
(A figure from the original paper is missing from the source site.)
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Question 4
Consider the following classification models and their geometric properties:
Select the correct many-to-one matching:
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Question 5
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Question 6
Dataset-1
Dataset-2
Dataset-3
Dataset-4
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Dataset-3
Dataset-4
Question 7
Under Assumption A, the MLE is equivalent to minimizing Mean Squared Error (MSE), which is highly sensitive to outliers because the penalty grows quadratically.
Under Assumption B, the MLE is equivalent to L1 regularization, which is more robust to outliers because the penalty for large residuals grows linearly.
All the given options are correct
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Correct answers
Under Assumption A, the MLE is equivalent to minimizing Mean Squared Error (MSE), which is highly sensitive to outliers because the penalty grows quadratically.
Under Assumption B, the MLE is equivalent to L1 regularization, which is more robust to outliers because the penalty for large residuals grows linearly.
Question 8
Find the entropy of the parent node. Enter your answer correct to two decimal places.
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Correct answer: 0.97 (accepted within ±0.1)
Question 9
Find the entropy of the right child. Enter your answer correct to two decimal places.
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Correct answer: 0.81 (accepted within ±0.1)
Question 10
Find the information gain. Enter your answer correct to two decimal places.
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Correct answer: 0.32 (accepted within ±0.1)
Question 11
. Based on the above data, answer the given subquestions.
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Correct answer: 0.18 (accepted within ±0.03)
Question 12
. Based on the above data, answer the given subquestions.
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Correct answer: 0.5
Question 13
. Based on the above data, answer the given subquestions.
5
8
9
10
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9
Question 14
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Question 15
Perform a 3-NN regressor for the following dataset:
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Correct answer: 4.5