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MLT · End Term · 22 Dec 2024 (Afternoon)

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 (Afternoon)

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:
Q5MSQ3 Marks·Choose all correct options
Asked 3 times Key ↓
Select the correct statements from the following for k-means algorithm:
1. AIn k-means algorithm, all cluster initializations lead to the same result.
2. Bk-means algorithm is sensitive to outliers.
3. COne initialization may converge while another may not.
4. DThe initialization of cluster centres may affect the number of iterations k- means takes to converge.
Q6MSQ3 Marks·Choose all correct options
Asked 2 times Key ↓
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.
Q7MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Q8MCQ4 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
Read the passage below, then answer Q9–Q11
Q9NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q10NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q11NAT2 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q12NAT5 Marks·Write the number
Asked 2 times Key ↓
Your answer:
Q13MCQ3 Marks·Choose one option
Asked 2 times Key ↓
1. A
2. B
3. C
4. D
5. E
Q14MCQ3 Marks·Choose one option
Asked 2 times Key ↓
Which of the following options are not 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.
Q15MCQ2 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.
Q16MCQ2 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.
Q17MCQ1 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
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

Q352

Q41

Q5B, D

Q6A, D

Q7B

Q8A

Q91

Q102

Q111

Q120.3 to 0.4

Q13A

Q14A

Q15B

Q16B

Q17B

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.