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MLP · All 2025 papers

52 questions · 100 marks · 2 papers

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Machine Learning Practice

All 2025 papers

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

Q1MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A1000
2. B100
3. C99
4. D999
Q2MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q3MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q4MCQ2 Marks·Choose one option
Key ↓
What is the primary function of the pandas.resample() method for a time series?
1. ATo convert a DataFrame to a series or vice versa.
2. BTo fill in missing values in the time series using various interpolation methods.
3. CTo change the frequency of the time series, such as converting daily data to monthly or monthly data to daily.
4. DTo perform statistical tests to check for stationarity in the time series.
Q5MCQ3 Marks·Choose one option
Key ↓
1. A
2. B
3. C
4. D
Q6MCQ3 Marks·Choose one option
Key ↓
1. A(i) – resize, (ii) – augment, (iii) – flatten, (iv) – grayscale
2. B(i) – grayscale, (ii) – flatten, (iii) – resize, (iv) – augment
3. C(i) – grayscale, (ii) – augment, (iii) – resize, (iv) – flatten
4. D(i) – grayscale, (ii) – resize, (iii) – flatten, (iv) – augment
Q7MCQ3 Marks·Choose one option
Key ↓
A time series with a clear upward trend and increasing variance over time is identified as non- stationary. Which two preprocessing steps are most likely required?
1. AMin-Max scaling and seasonal decomposition
2. BImputing missing values and differencing
3. CLog transformation and differencing
4. DStandardization and moving average smoothing
Q8MCQ1 Mark·Choose one option
Key ↓
1. A
2. B
3. C
4. D
5. E
Q9MCQ1 Mark·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q10MSQ3 Marks·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q11MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q12MSQ2 Marks·Choose all correct options
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q13MSQ2 Marks·Choose all correct options
Key ↓
1. A
2. B
3. C
4. D
Q14MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. AIt helps determine the optimal number of clusters by plotting the number of clusters vs. inertia (within-cluster sum of squares).
2. BThe ”elbow point” is where adding more clusters yields a significantly larger reduction in inertia.
3. CThe ”elbow point” is where adding more clusters yields diminishing returns in reducing inertia.
4. DIt always produces a clear and unambiguous elbow point.
5. EIt can be visualized using a plot of number of clusters vs. distortion score.
Q15MSQ1 Mark·Choose all correct options
Key ↓
How to disable early stopping in SGDRegressor?
1. A
2. B
3. C
4. D
Q16NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q17NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Read the passage below, then answer Q18–Q20
Based on the above data, answer the given subquestions.
Q18MSQ1 Mark·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q19MCQ2 Marks·Choose one option
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q20MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q21–Q23
Based on the above data, answer the given subquestions.
Q21MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q22MSQ2 Marks·Choose all correct options
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q23NAT1 Mark·Write the number
Asked 2 times Key ↓
Your answer:
Read the passage below, then answer Q24–Q26
Based on the above data, answer the given subquestions.
Q24NAT1 Mark·Write the number
Asked 4 times Key ↓
Your answer:
Q25NAT2 Marks·Write the number
Asked 4 times Key ↓
Your answer:
Q26NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:

End Term · 31 Aug 2025 (AN)End Term

Q27MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A10
2. B50
3. C100
4. D500
Q28MCQ2 Marks·Choose one option
Key ↓
1. ASet ‘warm start=True’
2. BCombine training data from different training sessions
3. CSet ‘retain parameters=True’
4. DThis problem can not be solved.
Q29MCQ2 Marks·Choose one option
Key ↓
1. A
2. B
3. C
4. D
Q30MCQ2 Marks·Choose one option
Key ↓
1. A(200, 200, 3)
2. B(40000, )
3. C(200, 200, 1)
4. D(40000, 3)
Q31MCQ2 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q32MCQ2 Marks·Choose one option
Key ↓
Which of the following statements about the Augmented Dickey-Fuller (ADF) test is correct?
1. AThe test is used to detect seasonality in a time series
2. BA low p-value (e.g., < 0.05) indicates the time series is non-stationary
3. CThe test’s null hypothesis is that the time series is stationary
4. DA low p-value (e.g., < 0.05) indicates the time series is stationary
Q33MCQ1 Mark·Choose one option
Key ↓
How to change the loss function in SGDRegressor to Huber loss?
1. A
2. B
3. C
4. D
Q34MCQ1 Mark·Choose one option
Asked 2 times Key ↓
1. Aliblinear
2. Blbfgs
3. Csaga
4. Dnewton-cg
Q35MCQ1 Mark·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q36MCQ3 Marks·Choose one option
Key ↓
Which of the following best describes the components of a time series in a classical multiplicative decomposition model?
1. AThe series is a product of a trend component and an error component only
2. BThe series is a sum of a trend component, a seasonal component, and a cyclical component
3. CThe series is a product of a trend component, a seasonal component, and an error component
4. DThe series is a sum of a trend component, a seasonal component, and a error component
Q37MSQ3 Marks·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q38MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. ASaves computation time by reusing results of expensive transformations when inputs and parameters have not changed.
2. BHelps speed up repeated runs of cross-validation involving the same transformation steps.
3. CReduces CPU usage by running transformations in parallel threads automatically.
4. DImproves efficiency in hyperparameter search by avoiding redundant computations in pipeline steps.
5. EGuarantees better generalization performance on the test set.
Q39MSQ2 Marks·Choose all correct options
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q40MSQ2 Marks·Choose all correct options
Key ↓
A medical diagnosis model is used to detect a rare disease that occurs in 0.5% of the population. A model is trained on this data, which of the following evaluation metrics are suitable for measuring effectiveness of this model:
1. Aaccuracy
2. Bprecision
3. Crecall
4. DF-1 score
Q41MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. AThe elbow method involves plotting the number of clusters against the inertia and identifying a point where the decrease in inertia slows down.
2. BThe elbow point represents the cluster count beyond which additional clusters do not significantly improve the model fit.
3. CThe metric used in the elbow method is the silhouette score.
4. DThe elbow point is always the smallest number of clusters in the plot.
5. EThe elbow method may sometimes be inconclusive if no clear bend is visible in the curve.
Q42NAT3 Marks·Write the number
Key ↓
Your answer:
Q43NAT3 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Read the passage below, then answer Q44–Q46
Based on the above data, answer the given subquestions.
Q44MSQ1 Mark·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q45MCQ2 Marks·Choose one option
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q46MSQ2 Marks·Choose all correct options
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q47–Q49
Based on the above data, answer the given subquestions.
Q47MCQ2 Marks·Choose one option
Asked 2 times Key ↓
select the appropriate values for A and B in the loss parameter to ensure that all model fits execute successfully.
1. A
2. B
3. C
4. D
Q48MSQ2 Marks·Choose all correct options
Asked 3 times Key ↓
1. A
2. B
3. C
4. D
Q49NAT1 Mark·Write the number
Asked 2 times Key ↓
Your answer:
Read the passage below, then answer Q50–Q52
Based on the above data, answer the given subquestions.
Q50NAT1 Mark·Write the number
Asked 4 times Key ↓
Calculate and enter the value of X (truncated to two decimal places).
Your answer:
Q51NAT1 Mark·Write the number
Asked 4 times Key ↓
Calculate and enter the value of Y (truncated to two decimal places).
Your answer:
Q52NAT3 Marks·Write the number
Asked 2 times Key ↓
Your answer:

Official Key

Master Answer Key & Explanations

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

Reveal Key

Q1A

Q2B

Q3A

Q4C

Q5A

Q6D

Q7C

Q8E

Q9A

Q10A, B

Q11A, B, D

Q12A, B, C

Q13A, B, D

Q14A, C, E

Q15A, C

Q160.5

Q1711

Q18A, B

Q19A

Q20A, B, D

Q21D

Q22B, D

Q2390

Q240.97 to 0.99

Q250.77 to 0.79

Q263.8 to 4.1

Q27A

Q28A

Q29A

Q30B

Q31A

Q32D

Q33A

Q34C

Q35A

Q36C

Q37A, B

Q38A, B, D

Q39A, B, C

Q40B, C, D

Q41A, B, E

Q42-12.5

Q4310

Q44A, C

Q45A

Q46A, C

Q47D

Q48B, D

Q4972

Q500.97 to 0.99

Q510.81 to 0.83

Q524.1 to 4.3

Questions and answer keys are reproduced from the official IIT Madras BS papers. BTechi is not affiliated with IIT Madras.