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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MAE stand for?
💡 Hint: Think about how we measure the average deviation of predictions.
Question 2
Easy
Which metric squares the errors before averaging?
💡 Hint: This metric gives higher penalties for larger errors.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does R² Score indicate in regression analysis?
- The average of errors
- Proportion of variance explained
- Sum of squared errors
💡 Hint: Think about how well the inputs account for outcomes.
Question 2
True or False: RMSE is always less than MSE.
- True
- False
💡 Hint: Consider the implications of square roots.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a regression model resulting in a high MAE and a low R² score. What steps would you take to improve this model?
💡 Hint: Think about the quality of model fit and data used.
Question 2
Given a dataset with known values and a predicted error of 10, how would one interpret an RMSE of 8?
💡 Hint: Consider how RMSE reflects average prediction error.
Challenge and get performance evaluation