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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of evaluation in AI?
💡 Hint: Think about the importance of model effectiveness.
Question 2
Easy
Define accuracy in the context of model evaluation.
💡 Hint: It reveals how well the model is performing overall.
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 measure in AI evaluation?
- Correct predictions over total predictions
- Correct positive predictions out of total predicted positives
- Correct negative predictions
💡 Hint: Recall the definition of precision.
Question 2
True or False: The F1 score is a single metric that combines both precision and recall.
- True
- False
💡 Hint: Consider the relationship between these metrics.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Develop a mini case study where a bias was identified during the evaluation phase of an AI project. Explain how it was addressed.
💡 Hint: Reflect on previous discussions about fairness in AI.
Question 2
Using the given metrics TP=25, TN=45, FP=10, FN=5, calculate the F1 Score and interpret its significance.
💡 Hint: Remember the formula for F1 score.
Challenge and get performance evaluation