Practice Structure And Splitting (3.6.1) - Kernel & Non-Parametric Methods
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Structure and Splitting

Practice - Structure and Splitting

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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Reference links

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