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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define the F1 Score in your own words.
💡 Hint: Think about how it relates to precision and recall.
Question 2
Easy
Explain why the F1 Score might be more useful than accuracy in certain models.
💡 Hint: Consider scenarios where one class might dominate another.
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 the F1 Score primarily assess?
- Balance between precision and recall
- Overall accuracy
- Model speed
- Data size
💡 Hint: Focus on how precision and recall relate to F1 Score.
Question 2
True or False: The F1 Score can be misleading in cases of imbalanced datasets.
- True
- False
💡 Hint: Think about the purpose of the F1 Score.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a binary classifier with TP = 90, FP = 10, FN = 20. Fully calculate precision, recall, and F1 Score. What would happen if the focus leaned only on recall at the cost of precision?
💡 Hint: Balance between the two is critical!
Question 2
Analyze a scenario in a fraud detection system where precision is high but recall is low. Discuss the risks involved and how F1 Score can guide improvements.
💡 Hint: Consider the implications of missed fraud cases.
Challenge and get performance evaluation