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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does precision measure in machine learning?
💡 Hint: Recall the formula for precision.
Question 2
Easy
Calculate the precision if there are 40 true positives and 10 false positives.
💡 Hint: Use the precision formula for calculation.
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 precision indicate in an AI model?
- Accuracy of all predictions
- Accuracy of positive predictions
- Overall performance of the model
💡 Hint: Think about what portion of predicted positives are correct.
Question 2
True or False: A higher precision is always better.
- True
- False
💡 Hint: Consider impact on real-world applications.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A model predicts 200 instances as positive, of which 150 are actual positives, but 50 are false positives. If the model is used in a fraud detection scenario, discuss the implications of this precision level.
💡 Hint: Consider the potential consequences of false positives and customer trust.
Question 2
In a different model where high precision is maintained over time, what could you suggest as maintenance practices to ensure this precision stays high?
💡 Hint: Think about how real-world changes can affect model performance.
Challenge and get performance evaluation