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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a confusion matrix?
💡 Hint: Think about how predictions relate to truth.
Question 2
Easy
What does True Positive (TP) mean?
💡 Hint: It's about right predictions for positives.
Practice 3 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 confusion matrix primarily visualize?
- Data Trends
- Model Performance
- Algorithm Complexity
💡 Hint: Consider which option evaluates outcomes.
Question 2
True Positive means a positive class was correctly predicted.
- True
- False
💡 Hint: Recall what it means to be positive in predictions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A model predicts whether patients have a disease. In a sample of 200 patients, the model identifies 100 positive cases, with 80 true positive, 20 false positive, 80 true negative, and 20 false negative. What is the accuracy, precision, recall, and F1 score?
💡 Hint: Break down the calculations for each metric and recalculate meticulously.
Question 2
If a confusion matrix shows TP = 45, FP = 5, TN = 40, FN = 10, calculate not just metrics, but also explain the importance of the F1 score versus accuracy in this context.
💡 Hint: Consider why accuracy may not always be the best metric. Reflect on its limitations.
Challenge and get performance evaluation