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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of model evaluation?
💡 Hint: Think about why we check the results after making predictions.
Question 2
Easy
Define accuracy in the context of model evaluation.
💡 Hint: Consider how you measure success in 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 primary goal of model evaluation?
💡 Hint: Reflect on why we check our model's results.
Question 2
True or False: F1-score is the average of accuracy and precision.
💡 Hint: Think about what F1-score actually represents.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
A new model shows an accuracy of 90%, but the precision is only 50%. What could be the implications of these metrics in a healthcare setting?
💡 Hint: Reflect on the importance of precision in critical decision-making.
Question 2
How might you improve the recall of a model that is missing many positive classifications, especially in a classification problem?
💡 Hint: Think about reshaping the model's output for better inclusiveness.
Challenge and get performance evaluation