12.7 - Best Practices
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Practice Questions
Test your understanding with targeted questions
What is the purpose of a held-out test set?
💡 Hint: Think about why we should avoid using training data for tests.
Why is cross-validation useful?
💡 Hint: Consider how multiple tests can lead to a better average performance estimate.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of cross-validation in model evaluation?
💡 Hint: Think about how many samples are involved in the evaluation process.
True or False: Monitoring overfitting is unnecessary if you're using cross-validation.
💡 Hint: Consider whether cross-validation completely prevents overfitting.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You are building a predictive model for customer churn in a subscription service. How would you document the model evaluation process to ensure reproducibility?
💡 Hint: Consider all factors that contribute to the final results.
Imagine you have a predictive model that is showing high accuracy on training data but low on validation data. List potential reasons for this and how you would address them.
💡 Hint: Evaluate how different practices can help fix the problem.
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