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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does entropy measure in a dataset?
💡 Hint: Think about what it implies regarding the certainty of classification.
Question 2
Easy
What happens to entropy when a dataset is perfectly pure?
💡 Hint: Consider what a pure node would look like.
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 higher entropy value signify in a dataset?
- More certainty
- More disorder
- More information
💡 Hint: Consider what a mixed node would imply.
Question 2
True or False: A node with zero entropy contains both class A and class B.
- True
- False
💡 Hint: Reflect on the definition of entropy.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are building a Decision Tree for classifying fruits based on features like color, weight, and size. Given the following class distribution of a specific node: 6 apples, 2 bananas, and 2 oranges, calculate the entropy for this node.
💡 Hint: Remember the formula for entropy and how to calculate probabilities.
Question 2
You have a dataset for loan approvals with three features: income, credit score, and home ownership status. Discuss how you would use entropy to evaluate potential splits in this dataset. What might high and low entropy indicate?
💡 Hint: Think of what each split signifies about the data distribution.
Challenge and get performance evaluation