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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define True Positives (TP) in your own words.
💡 Hint: Think about correct predictions for positive cases.
Question 2
Easy
What does a True Negative (TN) represent?
💡 Hint: Consider when the model is right about negative cases.
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 a Confusion Matrix primarily used for?
- To predict future outcomes
- To visualize model performance
- To process data
💡 Hint: Think about assessing model success.
Question 2
True or False: True Positives (TP) refer to negative predictions.
- True
- False
💡 Hint: Consider what TP implies.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a scenario where a Confusion Matrix might reveal a bias in an AI model. Discuss the implications of those biases.
💡 Hint: Consider what the model is assessing and how demographics might play a role.
Question 2
Given a Confusion Matrix with TP=20, TN=30, FP=5, FN=10, discuss the accuracy and suggest what could be improved.
💡 Hint: Think about features used in the model that may be affecting outcomes.
Challenge and get performance evaluation