Are you looking for Nptel Introduction To Machine Learning IIT-KGP Week 1 Answers ? This guide offers assignment solutions tailored to help you master key machine learning concepts such as supervised learning, regression, and classification.
Table of Contents
Introduction To Machine Learning IIT-KGP Week 1 Answers (July-Dec 2025)
Que.1 Which of the following are classification tasks? A) Find the gender of a person by analyzing his writing style 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 number of copies of a book that will be sold this month
Que.2 Which of the following is not a categorical feature? A) Gender of a person B) Height of a person C) Types of Mountains D) Nationality of a person
Que.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
Que.4 Suppose I have 10,000 emails in my mailbox out of which 200 are spams. The spam detection system detects 150 mails as spams, out of which 50 are actually spams. What is the precision and recall of my spam detection system? A) Precision = 33.333%, Recall = 25% B) Precision = 25%, Recall = 33.33% C) Precision = 33.33%, Recall = 75% D) Precision = 75%, Recall = 33.33%
Que.5 A feature F1 can take certain values: A, B, C, D, E, F and represents the grade of students from a college. Which of the following statements is true? A) Feature F1 is an example of a nominal variable. B) Feature F1 is an example of ordinal variables. C) It doesn’t belong to any of the above categories. D) Both of these
Que.6 Which learning paradigm is most suitable for training a robotic painting arm that must paint every corner while minimizing paint waste? A) Supervised learning B) Unsupervised learning C) Combination of supervised and unsupervised learning D) Reinforcement learning
Que.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
Que.9 Regarding bias and variance, which of the following statements are true? 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.
These are Introduction To Machine Learning IIT-KGP Week 1 Answers
Q1.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. Detect pneumonia from chest X-ray image
Q2.Which of the following is not a type of supervised learning? A. Classification B. Regression C. Clustering D. None of the above
These are Introduction To Machine Learning IIT-KGP Week 1 Answers
Q3.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: A. Finding the shortest path between a pair of nodes in a graph
Q4.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 precision 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%
These are Introduction To Machine Learning IIT-KGP Week 1 Answers
Q5.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: A. Predicting disease from blood samples. C. Face recognition to unlock your phone.
Q6 .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
Q8.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: C. To tune the hyperparameters of the machine learning model
These are Introduction To Machine Learning IIT-KGP Week 1 Answers
Q9.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: B. Models which overfit have a low bias. D. Models which underfit have a low variance.
These are Introduction To Machine Learning IIT-KGP Week 1 Answers
Q10.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
