NPTEL Introduction To Machine Learning – IITKGP Week 3 Assignment Answers 2024
1.
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2. Imagine you are dealing with a 10 class classification problem. What is the maximum number of discriminant vectors that can be produced by LDA?
A. 20
B. 14
C. 9
D. 10
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3. Fill in the blanks:
K-Nearest Neighbor is a __________ , _________ algorithm
A. Non-parametric, eager
B. Parametric, eager
C. Non-parametric, lazy
D. Parametric, lazy
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4. Which of the following statements is True about the KNN algorithm?
A. KNN algorithm does more computation on test time rather than train time.
B. KNN algorithm does lesser computation on test time rather than train time.
C. KNN algorithm does an equal amount of computation on test time and train time.
D. None of these.
Answer :-
5. Which of the following necessitates feature reduction in machine learning?
- Limited computational resources.
- Irrelevant and redundant features
- Curse of dimensionality
A. 1 only
B. 2 only
C. 1 and 2 only
D. 1, 2 and 3
Answer :-
6. When there is noise in data, which of the following options would improve the performance
of the k-NN algorithm?
A. Increase the value of k
B. Decrease the value of k
C. Changing value of k will not change the effect of the noise
D. None of these
Answer :-
7.
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8. Which of the following statements is/are true about PCA?
- PCA is a supervised method
- It identifies the directions that data have the largest variance
- Maximum number of principal components <= number of features
- All principal components are orthogonal to each other
A. Only 2
B. 1, 3 and 4
C. 1, 2 and 3
D. 2, 3 and 4
Answer :-
9. In user-based collaborative filtering based recommendation, the items are recommended based on :
A. Similar users
B. Similar items
C. Both of the above
D. None of the above
Answer :-
10. Identify whether the following statement is true or false?
“Linear Discriminant Analysis (LDA) is a supervised method”
A. TRUE
B. FALSE
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