12.2.B - Regression Metrics
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Practice Questions
Test your understanding with targeted questions
What is the formula for Mean Squared Error (MSE)?
💡 Hint: Think about how we find the average of squared differences.
Why is Root Mean Squared Error (RMSE) important?
💡 Hint: Consider how real-world applications benefit from understanding errors.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does MSE stand for?
💡 Hint: Think about how errors are handled in the model evaluation.
Is RMSE always better than MSE?
💡 Hint: Consider the applications of each metric.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
An engineer is comparing two models for predicting auto prices: Model A has an RMSE of $500 and Model B has a MSE of $300,000. Which model should they choose, and why?
💡 Hint: Consider the effect of larger discrepancies on average error measurement.
Explain why a model might have a high R² but poor predictive performance in practical applications. Include potential causes.
💡 Hint: Think about how adjusting model complexity influences generalization.
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