NPTEL Introduction To Machine Learning IITKGP Week 1 Assignment Answers 2024
NPTEL Introduction To Machine Learning IITKGP Week 1 Assignment Answers 2024
1. Which of the following is a classification task?
A. Detect pneumonia from chest X-ray image
B. Predict the price of a house based on floor area, number of rooms etc.
C. Predict the temperature for the next day
D. Predict the amount of rainfall
Answer :- a
2. Which of the following is not a type of supervised learning?
A. Classification
B. Regression
C. Clustering
D. None of the above
Answer :- For Answer Click Here
3. Which of the following tasks is NOT a suitable machine learning task?
A. Finding the shortest path between a pair of nodes in a graph
B. Predicting if a stock price will rise or fall
C. Predicting the price of petroleum
D. Grouping mails as spams or non-spams
Answer :-
4. Suppose I have 10,000 emails in my mailbox out of which 300 are spams. The spam detection system detects 150 mails as spams, out of which 50 are actually spams. What is the precisior and recall of my spam detection system?
A. Precision = 33.33%, Recall = 25%
B. Precision = 25%, Recall = 33.33%
C. Precision = 33.33%, Recall = 16.66%
D. Precision = 75%, Recall = 33.33%
Answer :- For Answer Click Here
5. Which of the following is/are supervised learning problems?
A. Predicting disease from blood samples.
B. Grouping students in the same class based on similar features.
C. Face recognition to unlock your phone.
Answer :-
6. Aliens challenge you to a complex game that no human has seen before. They give you
time to learn the game and develop strategies before the final showdown. You choose to
use machine learning because an intelligent machine is your only hope. Which machine
learning paradigm should you choose for this?
A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Use a random number generator and hope for the best
Answer :-
7. How many Boolean functions are possible with N features?
A. (22N)
в. (2N)
c. (N2)
D. (4N)
Answer :- For Answer Click Here
8. What is the use of Validation dataset in Machine Learning?
A. To train the machine learning model.
B. To evaluate the performance of the machine learning model
C. To tune the hyperparameters of the machine learning model
D. None of the above.
Answer :-
9. Regarding bias and variance, which of the following statements are true? (Here ‘high’ and
‘low’ are relative to the ideal model.)
A. Models which overfit have a high bias.
B. Models which overfit have a low bias.
C. Models which underfit have a high variance.
D. Models which underfit have a low variance.
Answer :-
10. Which of the following is a categorical feature?
A. Height of a person
B. Price of petroleum
C. Mother tongue of a person
D. Amount of rainfall in a day
Answer :- For Answer Click Here