Practice - Final Model Selection and Justification
Practice Questions
Test your understanding with targeted questions
What does AUC stand for?
💡 Hint: It's used to evaluate the performance of classification models.
Which tuning method explores every combination of hyperparameters?
💡 Hint: Think about exhaustive searching strategies.
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Interactive Quizzes
Quick quizzes to reinforce your learning
A model with an AUC of 1.0 is:
💡 Hint: Think about the scale of AUC ratings.
True or False: Random search guarantees the best hyperparameter configuration.
💡 Hint: Consider the nature of the search methods.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A model you've chosen has a high AUC, but the validation scores are low. Describe a systematic approach to improve the model.
💡 Hint: Focus on factors affecting model bias and variance.
You need to justify a model that performs well with average metrics but has high interpretability. How would you present this in a real-world context?
💡 Hint: Consider the trade-offs in practical applications.
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Reference links
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