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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a confusion matrix compare?
💡 Hint: Think about its main purpose!
Question 2
Easy
Why is detecting bias in models important?
💡 Hint: Consider the impact on real-world applications.
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 is the primary purpose of a confusion matrix?
- To visualize model architecture
- To compare predicted results with actual results
- To train new models
💡 Hint: Think about its role in model evaluation.
Question 2
True or False: A confusion matrix can help detect biases in machine learning models.
- True
- False
💡 Hint: Consider its function in bias detection.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a confusion matrix from a fraud detection model showing 20 true positives, 5 false negatives, 10 false positives, and 65 true negatives, analyze the metrics and suggest improvements.
💡 Hint: Focus on the recall rate and how it may affect financial decisions.
Question 2
Your model predicts 'Approve' for 90% of loan applications, leading to high accuracy but many rejected applicants. Create metrics to assess model's efficacy.
💡 Hint: Think about the cost of missing legitimate clients.
Challenge and get performance evaluation