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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does accuracy in AI model evaluation mean?
💡 Hint: Think about what it means to be correct.
Question 2
Easy
What is precision?
💡 Hint: Consider what it means to predict something positively.
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 the primary purpose of the Evaluation phase?
- To train the model
- To assess model performance
- To collect data
💡 Hint: Remember the purpose behind each phase in the AI cycle.
Question 2
True or False: High accuracy always means a good model.
- True
- False
💡 Hint: Consider what else can affect model reliability.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A model has an accuracy of 90% but a recall of only 50%. What does this indicate about the model's performance?
💡 Hint: Consider how many true positives it identifies among the total positives.
Question 2
You have a dataset with a serious imbalance between classes (90% Negative, 10% Positive). Discuss your evaluation metric strategy.
💡 Hint: Think about how each metric plays a role in performance assessment.
Challenge and get performance evaluation