Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Machine Learning Techniques
Support vector machines
Examination Instructions & Guidelines
- Solve on notebook/paper first before checking solutions.
- MCQ: Exactly 1 option is correct. Negative marking applies.
- MSQ: One or more options correct. Select all to score.
- NAT: Numerical response. No negative marking.
- Scientific calculator allowed for all calculations.
- Official answer key is sealed at the end of this sheet.
End Term · 31 Aug 2025 (FN)End Term
- Q1MCQ2 Marks·Choose one option

- A40
- B60
- C100
- D1
- Q2MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
Read the passage below, then answer Q3–Q4
Consider the datapoints (−2,−2) with label +1 and (2, 2) with label −1. A hard margin SVM is applied on this dataset. Answer the given subquestions:
Q3MCQ2 Marks·Choose one optionWhich of the following is the decision boundary for the given dataset?
- A

- B

- C

- D

- A
- Q4NAT2 Marks·Write the number
Your answer:
End Term · 31 Aug 2025 (AN)End Term
- Q5MCQ2 Marks·Choose one option

- A

- B

- C

- D

- A
- Q6MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- A
- Q7MSQ4 Marks·Choose all correct options
Given a two-dimensional data set where points from class 1 are: {(−2, 3), (−1, 1)} and points from class 0 are: {(1, 3), (1, 4)}. Which of the following statements are true?
- AThe given data points from classes 1 and 0 can be linearly separated using a hard-margin SVM.
- BA perceptron model and a hard-margin SVM can give different decision boundary for this dataset.
- CA soft-margin SVM would be a more robust choice than a hard-margin SVM for this dataset as the dataset is not linearly separable.
- DThe width of the separation between the two supporting hyperplanes is 4.
End Term · 13 Apr 2025 (FN)End Term
- Q8MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- E

- A
Read the passage below, then answer Q9–Q10

Based on the above data, answer the given subquestions.
Q9MCQ2 Marks·Choose one option
- AIt is a circle.
- BIt is a straight line.
- CIt is an ellipse.
- DIt is a parabola.
- Q10MSQ3 Marks·Choose all correct options
Which of the following training data points are certainly not support vectors?
- A

- B

- C

- D

- A
End Term · 13 Apr 2025 (AN)End Term
- Q11MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- E

- A
- Q12NAT3 Marks·Write the number
Your answer:
End Term · 22 Dec 2024 (FN)End Term
- Q13MCQ3 Marks·Choose one option

- A

- B

- C

- D

- E

- A
- Q14MCQ2 Marks·Choose one option
If we remove all the non-support vectors from the dataset, what will be the impact on the model using SVM algorithm?
- AModel will overfit.
- BThe model will not be changed.
- CModel will underfit.
- DAccuracy of the model will increase.
Read the passage below, then answer Q15–Q19
Q15NAT0.5 Marks·Write the number
Your answer:- Q16NAT0.5 Marks·Write the number
Your answer: - Q17NAT0.5 Marks·Write the number
Your answer: - Q18NAT0.5 Marks·Write the number
Your answer: - Q19MSQ1 Mark·Choose all correct options
Which of the following is correct ?
- A

- B

- C

- D

- A
End Term · 22 Dec 2024 (AN)End Term
- Q20MCQ3 Marks·Choose one option

- A

- B

- C

- D

- E

- A
- Q21MCQ2 Marks·Choose one option
If we remove all the non-support vectors from the dataset, what will be the impact on the model using SVM algorithm?
- AModel will overfit.
- BThe model will not be changed.
- CModel will underfit.
- DAccuracy of the model will increase.
Read the passage below, then answer Q22–Q26
Q22NAT0.5 Marks·Write the number
Your answer:- Q23NAT0.5 Marks·Write the number
Your answer: - Q24NAT0.5 Marks·Write the number
Your answer: - Q25NAT0.5 Marks·Write the number
Your answer: - Q26MSQ1 Mark·Choose all correct options
Which of the following is correct ?
- A

- B

- C

- D

- A