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MLP · Most repeated questions

41 questions · 77 marks · 3 papers · 18 question types

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Machine Learning Practice

Most repeated questions

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.

Type 1 · asked 4 times · Recommender systems

Compute the values X and Y in the recommender data table

Read the passage below, then answer Q1–Q2
Based on the above data, answer the given subquestions.
Q1NAT1 Mark·Write the number
End Term · 31 Aug 2025 (AN)Key ↓
Calculate and enter the value of X (truncated to two decimal places).
Your answer:
Q2NAT1 Mark·Write the number
End Term · 31 Aug 2025 (AN)Key ↓
Calculate and enter the value of Y (truncated to two decimal places).
Your answer:
Read the passage below, then answer Q3–Q4
Based on the above data, answer the given subquestions.
Q3NAT1 Mark·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:
Q4NAT2 Marks·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:

Type 2 · asked 3 times · Linear regression & SGD

Explain how the learning_rate setting behaves in SGDRegressor

Q5MCQ2 Marks·Choose one option
End Term · 22 Dec 2024 (AN)Key ↓
1. AIt adjusts the learning rate based on the number of iterations.
2. BIt defines the initial value for the learning rate and keeps it constant throughout training.
3. CIt determines the maximum step size allowed during training.
4. DIt specifies the fraction of the dataset used for each step in the stochastic gradient descent.
Q6MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
Q7MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 3 · asked 3 times · Pandas data loading & cleaning

Pandas: drop rows with missing values in given columns

Q8MCQ2 Marks·Choose one option
End Term · 22 Dec 2024 (AN)Key ↓
You have loaded a dataset with 1000 samples and 20 features into a Pandas DataFrame. Some samples have missing values for a few features. If you want to remove rows with fewer than 15 non-null values, what method would you use?
1. A
2. B
3. C
4. D
5. E
Read the passage below, then answer Q9
Based on the above data, answer the given subquestions.
Q9MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q10
Based on the above data, answer the given subquestions.
Q10MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 4 · asked 3 times · Model evaluation metrics

Choose valid scoring metric strings for cross-validation or grid search

Q11MCQ3 Marks·Choose one option
End Term · 22 Dec 2024 (AN)Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q12
Based on the above data, answer the given subquestions.
Q12MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q13
Based on the above data, answer the given subquestions.
Q13MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 5 · asked 2 times · Model evaluation metrics

Compute the mean absolute error for given y_true and y_pred

Q14MCQ2 Marks·Choose one option
End Term · 22 Dec 2024 (AN)Key ↓
1. A1.25
2. B2.56
3. C4.25
4. D1.12
5. EGiven code will return an error.
Q15NAT2 Marks·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:

Type 6 · asked 2 times · Cross-validation & hyperparameter search

Count how many models cross_val_score trains for a given CV splitter

Q16MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (AN)Key ↓
1. A10
2. B50
3. C100
4. D500
Q17MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (FN)Key ↓
1. A1000
2. B100
3. C99
4. D999

Type 7 · asked 2 times · Neural networks (MLP)

Pick the correct MLPClassifier code for given hyperparameters

Q18MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
5. E
Q19MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D
5. E

Type 8 · asked 2 times · K-means clustering

Pick the correct KMeans code for given clusters, init and n_init

Q20MCQ1 Mark·Choose one option
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
5. E
Q21MCQ1 Mark·Choose one option
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D
5. E

Type 9 · asked 2 times · Preprocessing, features & pipelines

Pick the correct pipeline: SimpleImputer followed by a scaler

Q22MSQ3 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
5. E
Q23MSQ3 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D
5. E

Type 10 · asked 2 times · Preprocessing, features & pipelines

Benefits of caching with the memory parameter in a Pipeline

Q24MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)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.
Q25MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D
5. E

Type 11 · asked 2 times · K-means clustering

True statements about the elbow method in KMeans

Q26MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)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.
Q27MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)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.

Type 12 · asked 2 times · Text, image & time-series data

Build the document-term matrix from a text vectorizer and count its values

Q28NAT3 Marks·Write the number
End Term · 31 Aug 2025 (AN)Key ↓
Your answer:
Q29NAT2 Marks·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:

Type 13 · asked 2 times · Pandas data loading & cleaning

Pandas: select rows by a condition on columns

Read the passage below, then answer Q30
Based on the above data, answer the given subquestions.
Q30MSQ1 Mark·Choose all correct options
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q31
Based on the above data, answer the given subquestions.
Q31MSQ1 Mark·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 14 · asked 2 times · Pandas data loading & cleaning

Pandas: create a new column from two columns with missing values

Read the passage below, then answer Q32
Based on the above data, answer the given subquestions.
Q32MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (AN)Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q33
Based on the above data, answer the given subquestions.
Q33MSQ2 Marks·Choose all correct options
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 15 · asked 2 times · Cross-validation & hyperparameter search

Grid search: choose valid loss/criterion values so all fits run

Read the passage below, then answer Q34
Based on the above data, answer the given subquestions.
Q34MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (AN)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
Read the passage below, then answer Q35
Based on the above data, answer the given subquestions.
Q35MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (FN)Key ↓
1. A
2. B
3. C
4. D

Type 16 · asked 2 times · Cross-validation & hyperparameter search

Count how many models GridSearchCV fits

Read the passage below, then answer Q36
Based on the above data, answer the given subquestions.
Q36NAT1 Mark·Write the number
End Term · 31 Aug 2025 (AN)Key ↓
Your answer:
Read the passage below, then answer Q37
Based on the above data, answer the given subquestions.
Q37NAT1 Mark·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:

Type 17 · asked 2 times · Recommender systems

Predict a missing rating with user-user collaborative filtering

Read the passage below, then answer Q38
Based on the above data, answer the given subquestions.
Q38NAT3 Marks·Write the number
End Term · 31 Aug 2025 (AN)Key ↓
Your answer:
Read the passage below, then answer Q39
Based on the above data, answer the given subquestions.
Q39NAT2 Marks·Write the number
End Term · 31 Aug 2025 (FN)Key ↓
Your answer:

Type 18 · asked 2 times · Classifiers: logistic, NB, KNN & more

Pick the right LogisticRegression solver for the setting

Q40MCQ1 Mark·Choose one option
End Term · 31 Aug 2025 (AN)Key ↓
1. Aliblinear
2. Blbfgs
3. Csaga
4. Dnewton-cg
Q41MCQ2 Marks·Choose one option
End Term · 31 Aug 2025 (FN)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

Q10.97 to 0.99

Q20.81 to 0.83

Q30.97 to 0.99

Q40.77 to 0.79

Q5B

Q6A, B, C

Q7A, B, C

Q8B

Q9A

Q10A

Q11A

Q12B, D

Q13B, D

Q14D

Q150.5

Q16A

Q17A

Q18A

Q19A

Q20A

Q21A

Q22A, B

Q23A, B

Q24A, B, D

Q25A, B, D

Q26A, B, E

Q27A, C, E

Q2810

Q2911

Q30A, C

Q31A, B

Q32A, C

Q33A, B, D

Q34D

Q35D

Q3672

Q3790

Q384.1 to 4.3

Q393.8 to 4.1

Q40C

Q41B

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.