Practice Decision Trees: Intuitive Rule-Based Classification - 5 | Module 3: Supervised Learning - Classification Fundamentals (Weeks 6) | Machine Learning
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5 - Decision Trees: Intuitive Rule-Based Classification

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a leaf node in a Decision Tree?

πŸ’‘ Hint: Think about the endings of branches.

Question 2

Easy

Define Gini impurity.

πŸ’‘ Hint: Relate it to how pure a node is.

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 leaf node in a Decision Tree represent?

  • A decision point
  • A final classification
  • A test on a feature

πŸ’‘ Hint: Think about where decisions lead.

Question 2

True or False: Gini impurity measures how randomly elements are distributed within a node.

  • True
  • False

πŸ’‘ Hint: Consider the 'mixed' nature of classes.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given a dataset of customer characteristics to classify them into different segments. Describe how you would use a Decision Tree to make this classification. Specify any parameters you would tune and justify your choices.

πŸ’‘ Hint: Think about the impact of tree complexity on results.

Question 2

Analyze a scenario where a Decision Tree might not be the best model choice for a classification task. What are alternative methods, and why might they be more suitable?

πŸ’‘ Hint: Consider cases with many features.

Challenge and get performance evaluation