Practice Accuracy (29.4) - Model Evaluation Terminology - CBSE 10 AI (Artificial Intelleigence)

Practise this section

9 questions

Flashcard drill
5 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.
What does accuracy measure in the context of model evaluation?
Show hintHide hint
Think about how we assess predictions in AI models.
Question 2.
If a model predicts 70 correctly out of 100, what is the accuracy?
Show hintHide hint
Use this formula: (Correct Predictions / Total Predictions) * 100.
3Question 3.
What is the formula for calculating accuracy?
Show hintHide hint
Think about the components mentioned in the accuracy discussion.
4Question 4.
True or False: Accuracy is always the best metric to evaluate model performance.
- True
- False
Show hintHide hint
Why would other metrics be necessary?
Question 5.
You are given a model with the following confusion matrix: TP=55, TN=45, FP=5, FN=10. What is the accuracy? How does this affect your decision on the model's effectiveness?
Show hintHide hint
Use the accuracy formula.
Question 6.
In a binary classification task, a model has an accuracy of 90% but only 30% precision. Discuss what this means for real-world application.
Show hintHide hint
Think about what it means to have high accuracy and low precision.

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