NPTEL Introduction to Machine Learning Assignment 7 Answers

NPTEL Introduction to Machine Learning Assignment 7 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 7 You must submit your assignment to your own knowledge.

About Introduction To Machine Learning

With the increased availability of data from varied sources, there has been increasing attention paid to the various data-driven disciplines such as analytics and machine learning. In this course, we intend to introduce some of the basic concepts of machine learning from a mathematically well-motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

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YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Introduction to Machine LearningAnswers
Assignment 1Click Here
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Assignment 3Click Here
Assignment 4Click Here
Assignment 5Click Here
Assignment 6Click Here
Assignment 7Click Here
Assignment 8Click Here
Assignment 9NA
Assignment 10NA
Assignment 11NA
Assignment 12NA

NPTEL Introduction to Machine Learning Assignment 7 Answers 2022 {July – Dec}

1. You have 2 binary classifiers A and B. A has accuracy=0% and B has accuracy=50%. Which classifier is more useful?

a. A
b. B
c. Both are good
d. Cannot say

Answer:- a

2. You have 2 multi-class classifiers A and B. A has accuracy=0% and B has accuracy=50%. Which classifier is more useful?

a. A
b. B
c. Both are good
d. Cannot say

Answer:- d

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NPTEL Introduction to Machine Learning Assignment 7 Answers

3. Using the bootstrap approach for sampling, the new dataset will have _________ of the original samples on expectation.

a. 50.0%
b. 56.8%
c. 63.2%
d. 73.6%

Answer:- c

4. You have a special case where your data has 10 classes and is sorted according to target labels. You attempt 5-fold cross validation by selecting the folds sequentially. What can you say about your resulting model?

a. It will have 100% accuracy.
b. It will have 0% accuracy.
c. Accuracy will depend on how good the model does.
d. Accuracy will depend on the compute power available for training.

Answer:- b

5. Given the following information

What is the precision and recall?

a. 0.5, 0.4375
b. 0.7, 0.636
c. 0.6, 0.636
d. 0.7, 0.4375
e. None of the above

Answer:- d

6. AUC for your newly trained model is 0.5. Is your model prediction completely random?

a. Yes
b. No
c. ROC curve is needed to derive this conclusion
d. Cannot be determined even with ROC

Answer:- c

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NPTEL Introduction to Machine Learning Assignment 7 Answers

7. What is the effect of using bagging on weak classifiers for variance?

a. Increases variance
b. Reduces variance
c. Does not change

Answer:- b

8. You are building a model to detect cancer. Which metric will you prefer for evaluating your model?

a. Accuracy
b. Sensitivity
c. Specificity
d. MSE

Answer:- b

9. You are building a model to detect a mild medical condition for which further testing costs are extremely expensive. Which metric will you prefer for evaluating your model?

a. Accuracy
b. Sensitivity
c. Specificity
d. MSE

Answer:- c

10. A: Boosting takes many weak learners and combines them into a strong learner.
B: Boosting determines the proportion of importance each weak learner should be assigned and weighs its prediction by it and combines them to make the final prediction.

a. A is True. B is True. B is the correct explanation for A.
b. A is True. B is True. B is not the correct explanation for A.
c. A is True. B is False.
d. Both A and B are False.

Answer:- a

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NPTEL Introduction to Machine Learning Assignment 7 Answers 2022 {Jan – June}

Q1. In LOO Cross Validation, you get K estimators. (excluding the final estimator that may be an ensemble of these K estimators)
If size of dataset = N, K =?

  • N/2 
  • N-1 
  • None of the above

Answer:- c

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NPTEL Introduction to Machine Learning Assignment 7 Answers

Q2. Given the following information

NPTEL Introduction to Machine Learning Assignment 7 Answers

What is the precision and recall?

  • 0.5, 0.6 
  • 0.3, 0.8 
  • 0.3, 0.6 
  • 0.5, 0.8 
  • None of the above

Answer:- c

Q3. To plot ROC curve, you first order the data points in _______ order of their likelihood of being positive.

  • Descending 
  • Ascending 
  • Random 
  • Doesn’t matter

Answer:- a

Q4. Which of the following are true?TP – True Positive, TN  True Negative, FP – False Positive, FN – False Negative

Answer:- b, c, e

Q5. Consider the following two statements:

A: In bagging, the estimators can be trained parallel.
B: Each estimator in bagging uses the same algorithm.

  •  A is True. B is True. B is the correct explanation for A. 
  • A is True. B is True. B is not the correct explanation for A. 
  • A is True. B is False. 
  • Both A and B are False.

Answer:- a

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NPTEL Introduction to Machine Learning Assignment 7 Answers

Q6. For a binary classification problem, consider the two statements below:

A: A classifier with AUC=0 is the least useful classifier.
B: A classifier with AUC=0.5 is the least useful classifier.

{Hint: For A, what if the labels were reversed?}

  • A is True. B is False. 
  • A is False. B is True. 
  • Both are False. 
  • Their ensemble will be the worst classifier.

Answer:- a

Q7. The relationship between their recall is:

  • Recall(A) > Recall(B) 
  • Recall(A) < Recall(B) 
  • Recall(A) = Recall(B) 
  • Cannot be determined

Answer:- a

Q8. True/False: Model A is equivalent to a random model based on its confusion matrix.

  • True 
  • False

Answer:-a

Q9. Consider the following two statements:

A: The estimators in Boosting can be trained in parallel.
B: Boosting is simply Bagging with a different sample distribution.

  • A is True. B is True. B is the correct explanation for A. 
  • A is True. B is True. B is not the correct explanation for A. 
  • A is True. B is False. 
  • Both A and B are False.

Answer: c

Disclaimer:- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

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NPTEL Introduction to Machine Learning Assignment 7 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 5

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