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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is pruning in Decision Trees?
💡 Hint: Think about reducing complexity.
Question 2
Easy
Name one parameter used in pre-pruning.
💡 Hint: It's related to limiting tree growth.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the goal of pruning a Decision Tree?
- Increase complexity
- Reduce overfitting
- Add branches
💡 Hint: Think about what pruning achieves.
Question 2
True or False: Pre-pruning means pruning a tree after it has fully grown.
- True
- False
💡 Hint: Consider the sequence of events.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a highly complex Decision Tree that is performing poorly on validation data. Outline a comprehensive strategy using both pre-pruning and post-pruning methods to improve this model.
💡 Hint: Consider both aspects: limitations during growth and adjustments afterward.
Question 2
Design a scenario where pre-pruning could lead to underfitting and suggest how to detect and avoid this problem during model building.
💡 Hint: Reflect on parameter settings and training results.
Challenge and get performance evaluation