The website is in Maintenance mode. We are in the process of adding more features.

Any new bookmarks, comments, or user profiles made during this time will not be saved.

Any new bookmarks, comments, or user profiles made during this time will not be saved.

**Machine Learning Quizzes**

*If you want to record your results on the Leaderboard for this quiz please login.*

Time limit: 0

0 of 10 Questions completed

Questions:

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Quiz complete. Results are being recorded.

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)

- Not categorized 0%

Would you like to submit your quiz result to the leaderboard?

Loading

Pos. | Name | Entered on | Points | Result |
---|---|---|---|---|

Table is loading | ||||

No data available | ||||

- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10

- Current
- Review
- Answered
- Correct
- Incorrect

- Question 1 of 10
##### 1. Question

**What happens to the coefficients in Ridge Regression as the regularization parameter approaches zero?**CorrectIncorrect - Question 2 of 10
##### 2. Question

**In the context of regularization, under which circumstance would you prefer to use Elastic Net over LASSO and Ridge?**CorrectIncorrect - Question 3 of 10
##### 3. Question

**In the context of regularization, under which circumstance would you prefer to use LASSO over Ridge?**CorrectIncorrect - Question 4 of 10
##### 4. Question

**In which scenario would you prefer using Ridge Regression over LASSO?**CorrectIncorrect - Question 5 of 10
##### 5. Question

**How does increasing the regularization parameter in LASSO affect the bias and variance of the model?**CorrectIncorrect - Question 6 of 10
##### 6. Question

**What is a potential drawback of using a very strong LASSO regularization (very high lambda)?**CorrectIncorrect - Question 7 of 10
##### 7. Question

**What is the geometric interpretation of the regularization term in Ridge Regression when viewed as a constraint in the optimization problem?**CorrectIncorrect - Question 8 of 10
##### 8. Question

**What is the geometric interpretation of the regularization term in LASSO Regression when viewed as a constraint in the optimization problem?**CorrectIncorrect - Question 9 of 10
##### 9. Question

**In Elastic Net, the mixing parameter (denoted as “l1_ratio”) controls the trade-off between L1 and L2 regularization. What is the range of values for the mixing parameter?**CorrectIncorrect - Question 10 of 10
##### 10. Question

**Consider a scenario where you are applying LASSO Regression to a dataset with highly correlated features. How does the introduction of L1 regularization affect the behavior of the model in terms of selecting features?**CorrectIncorrect

- Other Quizzes in Regularization

Find out all the ways

that you can

**Machine Learning Quizzes**