### NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

Course Name: INTRODUCTION TO MACHINE LEARNING

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**Q1. 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: c. Both are good**

**Q2. 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. Cannot say**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

**Q3. 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: a. 50.0%**

**Q4. 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: d. Accuracy will depend on the compute power available for training.**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

**Q5. 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: e. None of the above**

**Q6. 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: d. Cannot be determined even with ROC**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

**Q7. What is the effect of using bagging on weak classifiers for variance?**

a. Increases variance

b. Reduces variance

c. Does not change

**Answer: a. Increases variance**

**Q8. 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: c. Specificity**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

**Q9. 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: d. MSE**

**Q10. 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: c. A is True. B is False.**

**These are the solutions of NPTEL INTRODUCTION TO MACHINE LEARNING ASSIGNMENT 7 WEEK 7**

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