Practice Binary Classification (5.1.1) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Binary Classification

Practice - Binary Classification

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does binary classification predict?

💡 Hint: Think about two choices.

Question 2 Easy

Give an example of a binary classification problem?

💡 Hint: It involves classifying emails.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of outcomes does binary classification handle?

One outcome
Two distinct outcomes
Multiple outcomes

💡 Hint: What does binary mean?

Question 2

True or False: Decision boundaries can only be linear.

True
False

💡 Hint: Think about how curves might form!

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are analyzing a dataset for customer feedback. If the decision boundary is poorly defined, how can it impact customer satisfaction predictions?

💡 Hint: Think about decision-making based on predictions.

Challenge 2 Hard

Design a small classification experiment identifying spam emails versus legitimate emails. What features would you consider, and how would decision boundaries affect your results?

💡 Hint: Identify distinguishing factors between spam and not spam.

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Reference links

Supplementary resources to enhance your learning experience.