Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Machine Learning Practice
Linear regression & SGD
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
- Q1MSQ2 Marks·Choose all correct options
- A
- B
- C
- D
- A
- Q2MSQ1 Mark·Choose all correct options
How to disable early stopping in SGDRegressor?
- A
- B
- C
- D
- A
End Term · 31 Aug 2025 (AN)End Term
- Q3MCQ1 Mark·Choose one option
How to change the loss function in SGDRegressor to Huber loss?
- A
- B
- C
- D
- A
- Q4MSQ2 Marks·Choose all correct options
- A
- B
- C
- D
- A
End Term · 22 Dec 2024 (AN)End Term
- Q5MCQ2 Marks·Choose one option
- AIt adjusts the learning rate based on the number of iterations.
- BIt defines the initial value for the learning rate and keeps it constant throughout training.
- CIt determines the maximum step size allowed during training.
- DIt specifies the fraction of the dataset used for each step in the stochastic gradient descent.
- Q6MCQ3 Marks·Choose one option
- As1 = s2
- Bs1 < s2
- Cs1 > s2
- Q7MSQ2 Marks·Choose all correct options
- AWhen data is streaming or generated incrementally.
- BWhen the dataset is small.
- CWhen the dataset cannot fit in memory.
- DWhen the training labels are noisy.