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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Accuracy in classification models?
💡 Hint: Think about the overall performance of the model.
Question 2
Easy
What is the formula for Precision?
💡 Hint: Consider what’s included in a positive prediction.
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 Accuracy measure in a classification model?
- Only true positives
- Overall correctness
- Only true negatives
💡 Hint: Think about the total correct predictions made by the model.
Question 2
True or False: Precision is concerned with how many of the actual positives were predicted correctly.
- True
- False
💡 Hint: Consider what Precision is measuring.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with a severe class imbalance, how would you approach model evaluation? Discuss the metrics you would emphasize and why.
💡 Hint: Consider the model's sensitivity to false positives and negatives.
Question 2
Consider a medical test for a rare disease where 95% of results are negative. If your model shows 95% Accuracy, what implications does this have regarding Precision and Recall? Discuss.
💡 Hint: Reflect on the consequences of missing actual disease cases versus incorrectly diagnosing healthy individuals.
Challenge and get performance evaluation