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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a root node in a Decision Tree?
💡 Hint: Think about the starting point of the Decision Tree.
Question 2
Easy
What do leaf nodes represent in a Decision Tree?
💡 Hint: Where do you end up after making all decisions?
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 primary goal of impurity measures in Decision Trees?
- To increase complexity
- To determine the best splits
- To visualize the tree
💡 Hint: Consider why we'd use metrics like Gini impurity.
Question 2
True or False: Leaf nodes can represent decisions based on the majority class in a Decision Tree.
- True
- False
💡 Hint: Think about what happens at the end of the decision-making process.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a Decision Tree to classify animals based on features such as size, habitat, and diet. Discuss how you would approach the splitting and the considerations for impurities.
💡 Hint: Think about what features could lead to the most distinct classifications.
Question 2
You're given a dataset that can be heavily affected by noise. How would you ensure your Decision Tree model performs well on unseen data? What pruning techniques would you apply?
💡 Hint: Consider how tree depth can directly affect generalization.
Challenge and get performance evaluation