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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is accuracy in the context of performance metrics?
💡 Hint: Think about it as how right the model's guesses are.
Question 2
Easy
What does precision measure?
💡 Hint: How many correct positives were predicted?
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 in a machine learning model?
- A. The number of correct predictions
- B. The proportion of actual positives identified
- C. The ratio of true positives to predicted positives
💡 Hint: Think about it as how often the model was right.
Question 2
True or False: F1 Score balances both precision and recall.
- True
- False
💡 Hint: Consider if both precision and recall can be represented together.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Your model predicted 150 instances: 80 true positives, 30 false positives, and 40 false negatives. Calculate accuracy, precision, recall, and F1 score, and interpret the results.
💡 Hint: Work through the formulas methodically.
Question 2
Discuss how you would adjust your model if it has high accuracy but low precision. What steps would you take?
💡 Hint: Consider what factors affect how the model makes decisions.
Challenge and get performance evaluation