Question 1
It is impossible using only axis-aligned splits.
Machine Learning Techniques Quiz 2: 16 August 2026 (May 2026 term)
The IIT Madras BS Machine Learning Techniques (MLT) Quiz 2 paper sat on 16 Aug 2026, in the May 2026 term: 10 questions for 36 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.
- 10
- 36
- 120 min
- 8
- 1
- 1
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Correct answer
Question 2
It is unchanged.
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It is unchanged.
Question 3
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Question 4
(A figure from the original paper is missing from the source site.)
(A figure from the original paper is missing from the source site.)
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(A figure from the original paper is missing from the source site.)
Question 5
A node in a decision tree contains an equal number of positive and negative training examples.
What is the entropy of this node?
0
0.5
1
It depends on the total number of training examples.
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1
Question 6
They converge to different minimizers, because the losses differ.
They converge to the same minimizer, and their iterates coincide at every step.
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Question 7
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Question 8
The normal equations have no solution.
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Question 9
Which of the following statements about the K-Nearest Neighbours (KNN) algorithm are correct?
The choice of distance metric can affect the predicted class.
Once trained, KNN makes predictions without referring to the training data.
Every prediction does not require computing distances from the test point to all training data.
The computational cost of prediction generally increases with the size of the training dataset.
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Correct answers
The choice of distance metric can affect the predicted class.
The computational cost of prediction generally increases with the size of the training dataset.
Question 10
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Correct answer: 0.3