The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 13 Sept 2026, in the May 2026 term, set 1: 17 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.
Which of the following statements correctly distinguishes the hard-margin SVM from the soft-margin SVM?
The hard-margin SVM has a feasible solution only when the training data is linearly separable, whereas the soft-margin SVM always has a feasible solution.
The hard-margin SVM allows some training points to violate the margin, whereas the soft-margin SVM forbids all margin violations.
Unlike the hard-margin SVM, the soft-margin SVM can only be used with non- linear kernels.
Correct answer
The hard-margin SVM has a feasible solution only when the training data is linearly separable, whereas the soft-margin SVM always has a feasible solution.
, which of the following statements about the perceptron algorithm are true?
None of these.
Correct answer
None of these.
Correct answer
(i), (ii) and (iii)
Only (ii) and (iii)
Only (i) and (iii)
Only (iii)
Correct answer
Only (ii) and (iii)
Perceptron
Logistic Regression
Decision Tree
None of these
Correct answer
Decision Tree
Correct answer
Correct answer: 1
Correct answer: 1.3863 (accepted within ±0.0005)
Correct answer: 92
Correct answer: -4
Correct answer: 1.41 (accepted within ±0.03)
Correct answer: 0.19 (accepted within ±0.03)
For the covariance matrix
, compute the variance captured along the first principal component.
Correct answer
Correct answer
(A figure from the original paper is missing from the source site.)
Correct answer
(A figure from the original paper is missing from the source site.)
Correct answer
Bias increases, variance decreases.
Bias decreases, variance increases.
Both bias and variance increase.
Both bias and variance decrease.
Correct answer
Bias increases, variance decreases.
