Practice Confusion Matrix - 7.5.3 | 7. AI Project Cycle | CBSE 12 AI (Artificial Intelligence)
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Confusion Matrix

7.5.3 - Confusion Matrix

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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