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MLT · Ridge & lasso regularization

9 questions · 25 marks · 5 papers

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Machine Learning Techniques

Ridge & lasso regularization

Official Paper

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.
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

Read the passage below, then answer Q1–Q2
Based on the above data, answer the given subquestions.
Q1MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q2MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. AThe coefficients shrinks towards zero.
2. BThe coefficients increases in magnitude.
3. CThe coefficients remain unchanged.

End Term · 31 Aug 2025 (AN)End Term

Read the passage below, then answer Q3–Q4
Based on the above data, answer the given subquestions.
Q3MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q4MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. AThe coefficients shrinks towards zero.
2. BThe coefficients increases in magnitude.
3. CThe coefficients remain unchanged.

Quiz 2 · 3 Aug 2025 (AN)Quiz 2

Q5MCQ3 Marks·Choose one option
Key ↓
1. A
2. B
3. C
4. D

End Term · 13 Apr 2025 (FN)End Term

Q6MCQ3 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
Q7MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. AIt penalizes large coefficients to reduce overfitting.
2. BIt shrinks the coefficients but does not set them to zero.
3. CIt forces more coefficients to be exactly zero, performing feature selection.
4. DIt has no effect on the regression model.

End Term · 13 Apr 2025 (AN)End Term

Q8MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
What is the role of the regularization term in ridge regression?
1. AIt ensures that the dataset is normally distributed.
2. BIt penalizes large coefficients to reduce overfitting.
3. CIt forces more coefficients to be exactly zero, performing feature selection.
4. DIt increases the variance of the model.
Q9MCQ3 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D

Official Key

Master Answer Key & Explanations

Official answer keys from IIT Madras BS past papers. Click any question to review.

Reveal Key

Q1D

Q2A

Q3C

Q4B

Q5C

Q6C

Q7A, C

Q8B

Q9B

Questions and answer keys are reproduced from the official IIT Madras BS papers. Topics and repeated question types are BTechi’s own grouping. BTechi is not affiliated with IIT Madras.