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MLT · End Term · 22 Dec 2024 (Forenoon)

22 questions · 50 marks · 90 min

Answer key Take as mock

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Machine Learning Techniques

End Term · 22 Dec 2024 (Forenoon)

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.

Q1NAT2 Marks·Write the number
Asked 2 times Key ↓
NOTE: Enter the answer correct to one decimal place
Your answer:
Q2NAT3 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q3NAT3 Marks·Write the number
Asked 3 times Key ↓
Your answer:
Q4NAT3 Marks·Write the number
Asked 2 times Key ↓
Consider a logistic regression model trained to detect spam emails. Emails containing harmful phishing links are labeled as spam (1), while regular emails are labeled as not spam (0). A good spam detector should correctly identify almost all emails with phishing links. Even a single phishing email incorrectly classified as not spam could expose users to significant risks. However, the detector may classify some regular emails as spam. This trade-off is acceptable to ensure safety. To ensure user safety, if the threshold is set to a low value to prioritize the detection of phishing emails, type 1. If the threshold is set to a high value to minimize false positives (misclassifying regular emails as spam), type 0.
Your answer:
Q5NAT5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q6MCQ3 Marks·Choose one option
Key ↓
1. A3, 5, 1, 4, 2
2. B5, 3, 1, 2, 4
3. C3, 5, 2, 4, 1
4. D5, 3, 1, 4, 2
5. ENone of these
Q7MCQ3 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q8MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q9MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q10MCQ2 Marks·Choose one option
Asked 2 times Key ↓
If we remove all the non-support vectors from the dataset, what will be the impact on the model using SVM algorithm?
1. AModel will overfit.
2. BThe model will not be changed.
3. CModel will underfit.
4. DAccuracy of the model will increase.
Q11MCQ2 Marks·Choose one option
Asked 2 times Key ↓
In each round of AdaBoost, the weight for a particular training observation is decreased from round t to round t + 1 if the observation was:
1. Aclassified incorrectly by the weak learner trained in the round.
2. Bclassified correctly by the weak learner trained in the round.
3. Cclassified incorrectly by a majority of the weak learners trained up to the round.
4. Dclassified correctly by a majority of the weak learners trained up to the round.
Q12MCQ1 Mark·Choose one option
Asked 2 times Key ↓
Is the following statement true or false? For a fixed size of the training and the test set, increasing the complexity of the model always leads to an increment in the test error.
1. ATRUE
2. BFALSE
Q13MSQ3 Marks·Choose all correct options
Asked 2 times Key ↓
Consider a supervised ML problem where a model is trained using a training dataset, and its performance is evaluated on both the training and validation datasets. During training, the model’s loss is plotted over time for both the datasets. Assume that the loss L(t) is decreasing as the model learns. The following graph shows two curves, Curve (A) and Curve (B), representing the loss for the training and validation datasets, respectively:
1. ACurve (A) represents the training loss.
2. BCurve (B) represents the training loss.
3. CCurve (A) represents the validation loss.
4. DCurve (B) represents the validation loss.
Q14MSQ3 Marks·Choose all correct options
Asked 2 times Key ↓
Which of the following options are correct? Select all that apply.
1. AUnderfitted models generally have less bias and high variance.
2. BA decision tree with the maximum possible length may lead to overfitting.
3. CWeak learners are those whose performance is slightly better than the random classifier.
4. DAll the estimators in bagging can be trained parallelly.
Read the passage below, then answer Q15–Q17
Q15NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
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–Q22
Q18NAT0.5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q19NAT0.5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q20NAT0.5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q21NAT0.5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q22MSQ1 Mark·Choose all correct options
Asked 2 times Key ↓
Which of the following is correct ?
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

Q12.5

Q20

Q355

Q41

Q52

Q6D

Q7B

Q8D

Q9A

Q10B

Q11B

Q12B

Q13A, D

Q14B, C, D

Q151

Q162

Q171

Q181

Q190

Q200

Q212

Q22A, B

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