NPTEL Data Analytics With Python Week 12 Quiz Solution 2023

 

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ABOUT THE COURSE :
We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF 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.

1. Which one of the following are Decision Tree nodes?

 (A) Decision Nodes

 (B) End Nodes

 (C) Chance Nodes

 (D) All of these

Answer :- D

1 point

2. What are the advantages of Classification and Regression Trees (CART)?

(A)  Decision trees require relatively less effort from users for data preparation

(B)  Nonlinear relationships between parameters do not affect tree performance.

 (C) Both (A) and (B)

(D)  None of these

Answer :-

1 point

3. What are the disadvantages of Classification and Regression Trees (CART)?

(A)  Decision trees can be unstable because small variations in the data might result in a completely different tree being generated

 (B) Decision trees require relatively less effort from users for data preparation

(C)  Nonlinear relationships between parameters do not affect tree performance.

(D)  Decision trees implicitly perform variable screening or feature selection

Answer :-

1 point

4 Suppose, your target variable is whether a passenger will survive or not using Decision Tree. What type of tree do you need to predict the target variable?

 (A) classification tree

(B)  regression tree

 (C) clustering tree

(D)  dimensionality reduction tree

Answer :-

1 point

5. What is the maximum depth in a decision tree?

 (A) the length of the longest path from a root to a leaf

(B)  the length of the shortest path from a root to a leaf

 (C) the length of the longest path from a root to a sub-node

(D)  None of these

Answer :- A

1 point

6. Suppose in a classification problem, you are using a decision tree, and you use the Gini index as the criterion for the algorithm to select the feature for the root node. The feature with the _____ Gini index will be selected.

 (A) maximum

 (B) highest

(C)  least

(D)  None of these

Answer :-

1 point

7. In Decision Trees, for predicting a class label, the algorithm starts from which node of the tree?

(A)  Root

 (B) Leaf

(C)  Terminal

(D)  Sub-node

Answer :- A

1 point

8. What is splitting in the decision tree?

(A)  Dividing a node into two or more sub-nodes based on if-else conditions

(B)  Removing a sub-node from the tree

(C)  Balance the dataset prior to fitting

(D)  All of the above

Answer :- D

1 point

9. State True or False: Leaf node in a decision tree will have entropy value equal to 0

 (A) True

 (B) False

Answer :-

1 point

10. State True or False: Entropy is the measure of uncertainty of a random variable

(A)  True

(B)  False

Answer :- A