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

Practise this section

9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
Define True Positives (TP) in your own words.
Show hintHide hint
Think about correct predictions for positive cases.
Question 2.
What does a True Negative (TN) represent?
Show hintHide hint
Consider when the model is right about negative cases.
3Question 3.
What is a Confusion Matrix primarily used for?
- To predict future outcomes
- To visualize model performance
- To process data
Show hintHide hint
Think about assessing model success.
4Question 4.
True or False: True Positives (TP) refer to negative predictions.
- True
- False
Show hintHide hint
Consider what TP implies.
Question 5.
Create a scenario where a Confusion Matrix might reveal a bias in an AI model. Discuss the implications of those biases.
Show hintHide hint
Consider what the model is assessing and how demographics might play a role.
Question 6.
Given a Confusion Matrix with TP=20, TN=30, FP=5, FN=10, discuss the accuracy and suggest what could be improved.
Show hintHide hint
Think about features used in the model that may be affecting outcomes.

5 more questions in this section. Enroll free to practise them all.