Practice Impurity Measures (3.6.2) - Kernel & Non-Parametric Methods - Advance Machine Learning
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Impurity Measures

Practice - Impurity Measures

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does a Gini Index of 0 indicate?

💡 Hint: Think of how classes are distributed.

Question 2 Easy

What does Entropy measure?

💡 Hint: Consider how unpredictable the class distribution is.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a Gini Index of 0 indicate?

High impurity
Perfect purity
Moderate impurity

💡 Hint: Consider what it means for classes to be entirely homogeneous.

Question 2

True or False: Entropy can be negative.

True
False

💡 Hint: Think about how entropy reflects disorder.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a small decision tree using sample data and illustrate how Gini Index and Entropy would guide your splits.

💡 Hint: Focus on how each measure influences your choice of which attribute to split on.

Challenge 2 Hard

Analyze a given dataset and determine under what circumstances you would prefer to use Gini Index over Entropy and vice versa.

💡 Hint: Reflect on the implications of choosing one measure over the other.

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Reference links

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