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

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation