Practice Confusion Matrix - 29.3 | 29. Model Evaluation Terminology | CBSE 10 AI (Artificial Intelleigence)
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Confusion Matrix

29.3 - Confusion Matrix

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does True Positive indicate in a confusion matrix?

💡 Hint: Think about what a positive prediction means.

Question 2 Easy

What is depicted in the bottom right of a confusion matrix?

💡 Hint: Remember the structure of the table.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a False Positive represent in a confusion matrix?

Correct prediction of positive
Incorrect prediction of positive
Correct prediction of negative

💡 Hint: Think about which predictions are mistakes.

Question 2

True Negatives in a confusion matrix signify?

True
False

💡 Hint: Focus on the correct classification of negatives.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

After implementing a model, you find that it has 80 True Positives, 10 False Negatives, 5 False Positives, and 100 True Negatives. What is the recall of the model?

💡 Hint: Recall takes into account true positives versus actual positives.

Challenge 2 Hard

A model shows a confusion matrix with the numbers: TP = 50, TN = 30, FP = 5, FN = 15. If you want to decrease the False Negatives, what strategies can you employ to improve your model?

💡 Hint: Think about what could help the model better identify the positive class.

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