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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a decision tree?
💡 Hint: Think about how decisions are made step by step.
Question 2
Easy
What does splitting refer to in decision trees?
💡 Hint: Consider how we separate data to improve 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 does a decision tree utilize to minimize impurity?
- Random Selection
- Feature Thresholds
- Linear Functions
💡 Hint: Think about the criteria that assist in making clear decisions.
Question 2
True or False: The Gini Index is more complex to calculate than Entropy.
- True
- False
💡 Hint: Consider the mathematical formulas of both measures.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with features and outcomes, perform the first two splits of a decision tree. What splits would you choose based on impurity measurements?
💡 Hint: Calculate impurities for each feature and compare results.
Question 2
Evaluate the effects of overfitting in a decision tree. How could you mitigate it?
💡 Hint: Think about how a verbose explanation might confuse rather than clarify.
Challenge and get performance evaluation