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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is accuracy in the context of evaluating an AI model?
💡 Hint: Consider how many predictions were right out of total predictions.
Question 2
Easy
What does precision measure?
💡 Hint: Think about how true positives relate to positive predictions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of the Evaluation phase in AI?
💡 Hint: Think about why we check the results of our work.
Question 2
True or False: A model can be considered good if it has high accuracy but poor precision.
💡 Hint: Reflect on how precision relates to correctness.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You have a classification model with the following confusion matrix: 50 true positive, 10 false positive, 5 true negative, and 35 false negative. Calculate the precision, recall, and accuracy of the model.
💡 Hint: Use the definitions of precision, recall, and accuracy to perform calculations.
Question 2
Design a plan to improve an AI model that is performing poorly with an 80% accuracy but has a confusion matrix showing many false negatives. What steps would you take?
💡 Hint: Think about which factors contribute to model performance and how to adjust them for improvement.
Challenge and get performance evaluation