Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Machine Learning Practice
Preprocessing, features & pipelines
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.
- 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
- Q1MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- E

- A
- Q2MSQ2 Marks·Choose all correct options

- A

- B

- C

- D

- E

- A
End Term · 31 Aug 2025 (AN)End Term
- Q3MSQ3 Marks·Choose all correct options

- A

- B

- C

- D

- E

- A
- Q4MSQ2 Marks·Choose all correct options

- ASaves computation time by reusing results of expensive transformations when inputs and parameters have not changed.
- BHelps speed up repeated runs of cross-validation involving the same transformation steps.
- CReduces CPU usage by running transformations in parallel threads automatically.
- DImproves efficiency in hyperparameter search by avoiding redundant computations in pipeline steps.
- EGuarantees better generalization performance on the test set.
End Term · 22 Dec 2024 (AN)End Term
- Q5MCQ2 Marks·Choose one option

- A4
- B5
- C3
- D6
- Q6MCQ2 Marks·Choose one option

- A[5, 6]
- B[4, 5]
- C[8, 6]
- D[2, 3]
- Q7MCQ3 Marks·Choose one option

- A

- B

- C

- D

- A
- Q8MCQ3 Marks·Choose one option

- A

- B

- C

- D

- E

- A
- Q9MSQ2 Marks·Choose all correct options
Which of the following are techniques for dimensionality reduction?
- APCA (Principal Component Analysis)
- BStandardScaler
- CLasso Regression
- Dt-SNE (t-distributed Stochastic Neighbor Embedding)
- Q10NAT3 Marks·Write the number
Your answer: