Practice Decision Trees (3.6) - Kernel & Non-Parametric Methods - Advance Machine Learning
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Decision Trees

Practice - Decision Trees

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a Decision Tree?

💡 Hint: Think about the decisions made based on features or attributes.

Question 2 Easy

What does the Gini Index measure?

💡 Hint: Consider the concept of 'cleanliness' in classification.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a Decision Tree primarily represent?

A linear model
A tree-like structure for decision-making
A statistical analysis tool

💡 Hint: Focus on the visuals—how it helps in guiding decisions.

Question 2

True or False: Pruning is beneficial for reducing the complexity of a Decision Tree.

True
False

💡 Hint: Remember the purpose of pruning—why do we do it?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with customer information for a credit application, how would you design a Decision Tree? Outline the key features you would use and the reasoning behind your choices.

💡 Hint: Think about which characteristics reflect financial reliability.

Challenge 2 Hard

Discuss the implications of using Decision Trees in a scenario where the underlying data distribution changes over time. What strategies could you implement to maintain model reliability?

💡 Hint: Consider how continuous learning and adaptation apply to the concept.

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