6.9 - Evaluating Model Performance
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Practice Questions
Test your understanding with targeted questions
Define Mean Squared Error (MSE).
💡 Hint: Think about the errors in predictions.
What does a higher R² Score indicate?
💡 Hint: Consider how it relates to model fit.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does a lower Mean Squared Error suggest?
💡 Hint: Think about the relationship between error and fit.
The R² Score can be between which values?
💡 Hint: Consider the meaning of a perfect prediction.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a model with predictions [100, 150, 200, 250] and actual values [110, 145, 195, 270], calculate both MSE and R² Score. Discuss the significance of these scores.
💡 Hint: Use the formulas for MSE and R² to find the answers.
You created a linear regression model with a very low R² Score. What steps would you take to investigate potential improvements?
💡 Hint: Think about model assumptions and data quality.
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