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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define True Positive.
💡 Hint: Think of it as a 'correct positive' prediction.
Question 2
Easy
What does False Negative mean?
💡 Hint: Consider what happens if the prediction fails.
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 True Positive refer to?
- Correctly predicts a negative outcome
- Correctly predicts a positive outcome
- Incorrectly predicts a positive outcome
💡 Hint: TP is always the correct action taken by the model.
Question 2
True or False: A False Negative means a model correctly identifies a result.
- True
- False
💡 Hint: Think about what went wrong with the prediction.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset with the following metrics: TP = 50, TN = 25, FP = 10, FN = 15. Compute Accuracy, Precision, and Recall. Discuss your results.
💡 Hint: Remember to calculate each metric step-by-step.
Question 2
If an AI model has an F1 Score of 0.7 and Precision of 0.8, what is its Recall? Show your calculations.
💡 Hint: Use the relationship between F1, Precision, and Recall as your guide.
Challenge and get performance evaluation