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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accuracy measure in an AI model?
💡 Hint: Think about what it means to be correct in predictions.
Question 2
Easy
What is precision used for?
💡 Hint: Focus on the positive predictions.
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 accuracy measure?
- True Positives
- Both True and False
- Only Correct Predictions
💡 Hint: Accuracy looks at the total predictions.
Question 2
Is a precision of 0.9 always better than a recall of 0.6?
- True
- False
💡 Hint: Consider the impact of missing actual positives.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A spam detection model identifies 70 spam emails correctly out of 100 total emails, but also wrongly marks 10 non-spam emails as spam. Calculate its accuracy, precision, recall, and F1 score, and discuss the implications of the results.
💡 Hint: Remember to use the appropriate formulas for each metric.
Question 2
Consider an AI model in a medical field. If it shows high precision but low recall, what would you conclude about it? Discuss possible recommendation adjustments.
💡 Hint: Think about what this means for patient diagnosis.
Challenge and get performance evaluation