Practice Decision Tree Implementation - 6.2.3 | Module 3: Supervised Learning - Classification Fundamentals (Weeks 6) | Machine Learning
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6.2.3 - Decision Tree Implementation

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary structure of a Decision Tree?

πŸ’‘ Hint: Think about the layout of the tree.

Question 2

Easy

What is Gini Impurity used for?

πŸ’‘ Hint: It relates to error probability 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 start with?

  • A leaf node
  • An internal node
  • A root node

πŸ’‘ Hint: Think of the first point in a tree structure.

Question 2

True or False: Gini Impurity measures the uncertainty in a dataset.

  • True
  • False

πŸ’‘ Hint: Consider the relationship between classification and impurity.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a Decision Tree for a synthetic dataset that includes features like 'Age', 'Income', and 'Marital Status'. Document the splitting criteria at each node.

πŸ’‘ Hint: Focus on maximizing purity and minimizing impurity at each split.

Question 2

Evaluate an overfitted Decision Tree by comparing its training performance with test performance. Describe the impact of complexity on accuracy.

πŸ’‘ Hint: Keep in mind how a model's complexity can affect validation results.

Challenge and get performance evaluation