Practice - Post-pruning (Cost-Complexity Pruning)
Practice Questions
Test your understanding with targeted questions
What is post-pruning?
💡 Hint: Think about the purpose of enhancing model performance.
What does overfitting refer to?
💡 Hint: Consider what happens when a model learns too many details.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of post-pruning?
💡 Hint: Think about how to simplify a complex model.
True or False: Overfitting occurs when a model is too simple.
💡 Hint: Remember what happens with too much detail.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a scenario where a Decision Tree has a total of 10 branches with varying importance, how would you determine which branches to prune without significantly losing predictive accuracy?
💡 Hint: Consider the relationship between branches and overall model performance.
Describe the implications of using a small validation set in post-pruning. What risks does this pose?
💡 Hint: Think about why sample size matters in making statistical decisions.
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Reference links
Supplementary resources to enhance your learning experience.