Practice Impurity Measures For Classification Trees (5.3) - Supervised Learning - Classification Fundamentals (Weeks 6)
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Impurity Measures for Classification Trees

Practice - Impurity Measures for Classification Trees

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define Gini Impurity in your own words.

💡 Hint: Think about how pure a group of items is.

Question 2 Easy

What does a Gini Impurity value of 0 mean?

💡 Hint: Consider what it means when a group has no variety.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a Gini Impurity value of 0 indicate?

True
False

💡 Hint: Think about what 'pure' means.

Question 2

Is Information Gain a measure of the reduction in Gini Impurity?

Yes
No
Sometimes

💡 Hint: Consider how Information Gain functions in splits.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with three classes having equal distribution, how would you expect Gini Impurity to behave? Create a summary of your findings.

💡 Hint: Consider how evenly distributed classes influence the outcome.

Challenge 2 Hard

Develop a decision tree using Gini impurity and assess its performance. What insights can be drawn from comparing with entropy-based splits?

💡 Hint: Think about how the choice of impurity measures could affect learning and generalization.

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Reference links

Supplementary resources to enhance your learning experience.