Practice Decision Trees: Intuitive Rule-based Classification (5) - Supervised Learning - Classification Fundamentals (Weeks 6)
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Decision Trees: Intuitive Rule-Based Classification

Practice - Decision Trees: Intuitive Rule-Based Classification

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a leaf node in a Decision Tree?

💡 Hint: Think about the endings of branches.

Question 2 Easy

Define Gini impurity.

💡 Hint: Relate it to how pure a node is.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a leaf node in a Decision Tree represent?

A decision point
A final classification
A test on a feature

💡 Hint: Think about where decisions lead.

Question 2

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

True
False

💡 Hint: Consider the 'mixed' nature of classes.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Think about the impact of tree complexity on results.

Challenge 2 Hard

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?

💡 Hint: Consider cases with many features.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.