Quiz 2
July 13, 2021
Assesment Summary
0 of 10 Questions completed
Questions:
Information
You have already completed the assesment before. Hence you can not start it again.
Assesment is loading…
You must sign in or sign up to start the assesment.
You must first complete the following:
Results
Results
0 of 10 Questions answered correctly
Your time:
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
Categories
 Not categorized 0%
 1
 2
 3
 4
 5
 6
 7
 8
 9
 10
 Current
 Review
 Answered
 Correct
 Incorrect

Question 1 of 10
1. Question
1. Predicting on whether will it rain or not tomorrow evening at a particular time is a type of _________ problem.
CorrectIncorrect 
Question 2 of 10
2. Question
2. Which of the following statements about regularization is not correct?
CorrectIncorrect 
Question 3 of 10
3. Question
3. Which of the following is not a supervised learning algorithm?
CorrectIncorrect 
Question 4 of 10
4. Question
4. Which of the following is true about linear regression?
CorrectIncorrect 
Question 5 of 10
5. Question
5. Precision in the confusion matrix is calculated as …
CorrectIncorrect 
Question 6 of 10
6. Question
6. For regression models in the scikitlearn library, “.score()” method returns the …
CorrectIncorrect 
Question 7 of 10
7. Question
7. Which of the following statements is true?
CorrectIncorrect 
Question 8 of 10
8. Question
8. When the feature space is larger, over fitting is more likely to occur.
CorrectIncorrect 
Question 9 of 10
9. Question
9. We can get multiple local optimum solutions if we solve a linear regression problem by minimizing the sum of squared errors using gradient descent.
CorrectIncorrect 
Question 10 of 10
10. Question
10. Regarding high bias and low variance, which of the following statements are true? (Here ‘high’ and ‘low’ are relative to the ideal model.)
CorrectIncorrect