Practice - Example with Real Data
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Practice Questions
Test your understanding with targeted questions
What is a confusion matrix?
💡 Hint: Think about how predictions relate to truth.
What does True Positive (TP) mean?
💡 Hint: It's about right predictions for positives.
3 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does a confusion matrix primarily visualize?
💡 Hint: Consider which option evaluates outcomes.
True Positive means a positive class was correctly predicted.
💡 Hint: Recall what it means to be positive in predictions.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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