Practice Decision Trees - 3.6 | 3. Kernel & Non-Parametric Methods | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a Decision Tree?

๐Ÿ’ก Hint: Think about the decisions made based on features or attributes.

Question 2

Easy

What does the Gini Index measure?

๐Ÿ’ก Hint: Consider the concept of 'cleanliness' in classification.

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 Decision Tree primarily represent?

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

๐Ÿ’ก Hint: Focus on the visualsโ€”how it helps in guiding decisions.

Question 2

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

  • True
  • False

๐Ÿ’ก Hint: Remember the purpose of pruningโ€”why do we do it?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

๐Ÿ’ก Hint: Think about which characteristics reflect financial reliability.

Question 2

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?

๐Ÿ’ก Hint: Consider how continuous learning and adaptation apply to the concept.

Challenge and get performance evaluation