Practice Multi-class Classification - 5.1.2 | Module 3: Supervised Learning - Classification Fundamentals (Weeks 5) | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is multi-class classification?

πŸ’‘ Hint: Think of tasks where multiple categories need classification.

Question 2

Easy

Name an example of a multi-class classification problem.

πŸ’‘ Hint: Consider scenarios where there are multiple possible outcomes.

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 defines multi-class classification?

  • Predicting two classes
  • Predicting one of three or more classes
  • Predicting continuous values

πŸ’‘ Hint: Recall examples of multi-class scenarios.

Question 2

True or False: In multi-class classification, classes can overlap.

  • True
  • False

πŸ’‘ Hint: Think about the definition of multi-class classification.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a multi-class classification system for categorizing types of vehicles (car, truck, motorcycle, bicycle). Outline steps including data collection, model selection, and evaluation metrics.

πŸ’‘ Hint: Focus on data and model choice for achieving diversity.

Question 2

Examine the impacts of choosing One-vs-Rest versus One-vs-One for a problem with ten classes.

πŸ’‘ Hint: Think about computational efficiency and accuracy.

Challenge and get performance evaluation