Practice - Structure of a Confusion Matrix
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Practice Questions
Test your understanding with targeted questions
What does 'True Positive' mean in a confusion matrix?
💡 Hint: Think about how the model identifies spam.
Which position in the matrix represents False Negatives?
💡 Hint: Look for what the model missed.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does a True Positive in a confusion matrix represent?
💡 Hint: Remember the definition of True Positive.
True or False: A False Negative refers to cases where the model incorrectly predicts the negative class.
💡 Hint: Think about what the model misses.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given the confusion matrix statistics below:
| Predicted Positive | Predicted Negative | |
|---|---|---|
| Actual Positive | 55 (TP) | 15 (FN) |
| Actual Negative | 10 (FP) | 60 (TN) |
| How can you calculate Precision and Recall? Discuss which metric would be more important in a medical diagnosis context. |
💡 Hint: Consider the consequences of missing actual positives in a medical setting.
If you have a dataset with 1,000 examples where 900 are negative and 100 are positive, how could a model with high accuracy still be inadequate based on the confusion matrix?
💡 Hint: Reflect on class distributions and implications on model performance.
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