4.1 - Metric Description
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Practice Questions
Test your understanding with targeted questions
What does MAE stand for?
💡 Hint: Think about how we measure the average deviation of predictions.
Which metric squares the errors before averaging?
💡 Hint: This metric gives higher penalties for larger errors.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does R² Score indicate in regression analysis?
💡 Hint: Think about how well the inputs account for outcomes.
True or False: RMSE is always less than MSE.
💡 Hint: Consider the implications of square roots.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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