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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a True Positive in a confusion matrix?
💡 Hint: Think of it as correctly identifying something as true!
Question 2
Easy
Define Precision in terms of a confusion matrix.
💡 Hint: It focuses on the positive predictions made.
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 a True Positive indicate in a confusion matrix?
- The model predicted negative correctly
- The model predicted positive correctly
- The model predicted both correctly
💡 Hint: Focus on what 'True' implies in predictions.
Question 2
True or False: High accuracy guarantees that the model performs well on all classes.
- True
- False
💡 Hint: Consider scenarios with different class distributions.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with 1000 samples where TP=200, TN=750, FP=20, FN=30. Calculate the Accuracy, Precision, Recall, and F1-Score. Discuss what these values indicate about the model's performance.
💡 Hint: Break down calculations step by step and interpret what the metrics suggest about the model.
Question 2
Given a new model with 80% accuracy, but it only identifies 50% of the actual positives, would you trust this model in a critical healthcare application? Why or why not?
💡 Hint: Consider the impact of missed predictions.
Challenge and get performance evaluation