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IIT M DIPLOMA AN EXAM QDD2 24 Mar 2024 - 24 Mar 2024

MLT Quiz 215 questions50 marks7 SA · 5 MCQ · 3 MSQDiploma / afternoon / QDD2
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Comprehension passage - the questions below it refer to this
Based on the above data, answer the given subquestions. question figure
Q1SA3 marks
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Q2SA2 marks
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Comprehension passage - the questions below it refer to this
Consider a regression problem where you are tasked with predicting the sale prices of houses based on their square footage. You decide to experiment with two different models: question figure Consider a regression problem where you are tasked with predicting the sale prices of houses based on their square footage. You decide to experiment with two different models: The training dataset consists of information on 200 houses, and you use the models to make predictions on a test dataset of 50 houses. The Mean Squared Error (MSE) is chosen as the evaluation metric. Based on the above data, answer the given subquestions.
Q3MCQ3 marks
Considering the specific context of predicting house prices based on square footage, which model is more likely to provide accurate predictions on the training dataset?
  1. Model P
  2. Model Q
  3. Both models are equally likely to provide accurate predictions
  4. It depends on the distribution of house prices in the dataset
Q4MSQ3 marksselect all that apply
Identify the factors that could influence the model’s performance on the training dataset in this housing price prediction scenario. Select all correct statements:
  1. Model P may struggle to capture non-linear relationships present in houseprice data.
  2. Model Q might be sensitive to outliers in the square footage variable.
  3. The choice between Model P and Model Q depends on the budget constraintsof potential homebuyers.
  4. Model Q will always perform well on the test dataset.
Comprehension passage - the questions below it refer to this
Based on the above data, answer the given subquestions. question figure
Q5SA3 marks
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Q6SA3 marks
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Comprehension passage - the questions below it refer to this
Based on the above data, answer the given subquestions. question figure
Q7SA4 marks
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Q8MCQ4 marks
What will be the predicted value for the left-out data point?
  1. 12
  2. 13
  3. 12.3
  4. 11.3
  5. None of these
Q9SA3 marks
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Q10SA3 marks
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Q11MCQ3 marks
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Q12MCQ4 marks
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Q13MCQ4 marks
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Q14MSQ4 marksselect all that apply
Consider the following data-points in a binary classification problem. w is the weight vector corresponding to a linear classifier. The labels are +1 and −1. question figure Consider the following data-points in a binary classification problem. w is the weight vector corresponding to a linear classifier. The labels are +1 and −1. Which of the following statements are true?
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Q15MSQ4 marksselect all that apply
Select all true statements.
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Answer key

  1. Q1 (SA, 3 marks): 0
  2. Q2 (SA, 2 marks): 1
  3. Q3 (MCQ, 3 marks): B
  4. Q4 (MSQ, 3 marks): A, B
  5. Q5 (SA, 3 marks): 0.30 to 0.35
  6. Q6 (SA, 3 marks): 0.30 to 0.35
  7. Q7 (SA, 4 marks): 1.65 to 1.70
  8. Q8 (MCQ, 4 marks): D
  9. Q9 (SA, 3 marks): 1
  10. Q10 (SA, 3 marks): 19 to 20
  11. Q11 (MCQ, 3 marks): C
  12. Q12 (MCQ, 4 marks): C
  13. Q13 (MCQ, 4 marks): B
  14. Q14 (MSQ, 4 marks): A, B, D
  15. Q15 (MSQ, 4 marks): A, B, D