Practice Evaluation (12.3.6) - Introduction to Data Science - 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 is the main purpose of model evaluation?
Show hintHide hint
Think about why we check the results after making predictions.
Question 2.
Define accuracy in the context of model evaluation.
Show hintHide hint
Consider how you measure success in predictions.
3Question 3.
What is the primary goal of model evaluation?
- To make predictions
- To visualize data
- To assess model accuracy
Show hintHide hint
Reflect on why we check our model's results.
4Question 4.
True or False: F1-score is the average of accuracy and precision.
- True
- False
Show hintHide hint
Think about what F1-score actually represents.
Question 5.
A new model shows an accuracy of 90%, but the precision is only 50%. What could be the implications of these metrics in a healthcare setting?
Show hintHide hint
Reflect on the importance of precision in critical decision-making.
Question 6.
How might you improve the recall of a model that is missing many positive classifications, especially in a classification problem?
Show hintHide hint
Think about reshaping the model's output for better inclusiveness.

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