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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accuracy measure in AI models?
💡 Hint: Think about the total predictions versus correct predictions.
Question 2
Easy
Define precision in terms of a prediction model.
💡 Hint: Focus on how correct positives are out of all predicted positives.
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 is accuracy?
- The ratio of true positives to predicted positives
- The overall correctness of the model
- How well negatives are identified
💡 Hint: Remember, it's a straightforward measure!
Question 2
True or False: The F1 score is used when you only care about recall.
- True
- False
💡 Hint: Think about why balance is important.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
An AI model predicts whether an email is spam or not. If it correctly identifies 80 out of 100 spam emails, but also classifies 10 legitimate ones as spam, what are the precision and recall?
💡 Hint: Remember the formulas for each.
Question 2
If a model has 90% accuracy but only identifies 50% of actual positive cases, why might this be problematic?
💡 Hint: Consider the implications in real-world scenarios.
Challenge and get performance evaluation