{Week 1} NPTEL Introduction To Machine Learning Assignment Answer 2024
NPTEL Introduction To Machine Learning Week 1 Assignment Answer 2024
Q1. Which of the following are supervised learning problems (Multiple Correct)?
Clustering Spotify users based on their listening history
Weather forecast using data collected by a satellite
Predicting tuberculosis using patient’s chest X-Ray
Training a humanoid to walk using a reward system
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Q2. Which of the following are regression tasks (Multiple Correct)?
Predicting the outcome of an election
Predicting the weight of a giraffe based on its weight
Predicting the emotion conveyed by a sentence
Identifying abnormal data points
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Q3. Which of the following are classification tasks (Multiple Correct)?
Predicting the outcome of an election
Predicting the weight of a giraffe based on its weight
Predicting the emotion conveyed by a sentence
Identifying abnormal data points
Answer:-
(Common Data for Questions 4 and 5)
Here is a 2-dimensional plot showing two functions that classify data points into two classes. The red points belong to one class, and the green points belong to another. The dotted blue line (F1) and dashed pink line (F2) represent the two trained functions.
Q4. Which of the two functions overfit the training data?
Both functions F1 & F2
Function F1
Function F2
None of them
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Q5. Which of the following 2 functions will yield higher training error?
Function F1
Function F2
Both functions F1 & F2 will have the same training error
Can not be determined
Answer:-
Q6. What does the term ‘policy’ refer to in reinforcement learning?
A set of rules governing the environment
The reward function
The initial state of the environment
The strategy the agent follows to choose actions
Answer:-
Q7. Given the following dataset, for k = 3, use KNN regression to find the prediction for a new data-point (2,3) (Use Euclidean distance measure for finding closest points)
2.0
2.6
2.8
3.2
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Q8. For any given dataset, comment on the bias of K -nearest classifiers upon increasing the value of K.
The bias of the classifier decreases
The bias of the classifier does not change
The bias of the classifier increases
Can not be determined
Answer:-
Q9. Bias and variance are given by:
Answer:-
Q10. Which of the following statements are FALSE regarding bias and variance?
Models which overfit have a high bias
Models which overfit have a low bias
Models which underfit have a high variance
Models which underfit have a low variance
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