12.2 - Confusion Matrix
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Practice Questions
Test your understanding with targeted questions
What does TP stand for in a confusion matrix?
💡 Hint: Think about what it means when the prediction is correct for the positive class.
What is the purpose of a confusion matrix?
💡 Hint: Consider what characteristics are compared.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does FP stand for in the context of confusion matrix?
💡 Hint: Think about what happens when the model makes a mistake in identifying positives.
True or False: In the confusion matrix, true negatives indicate correct positive predictions.
💡 Hint: Recall the definitions of true positives and true negatives.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a confusion matrix with the following results: TP = 75, TN = 50, FP = 25, FN = 10. Calculate the Precision, Recall, and Accuracy.
💡 Hint: Use the definitions for each metric and apply them based on the confusion matrix values.
In a real-world scenario, if your model has many false positives yet high accuracy, what does this indicate about the dataset and the model's performance?
💡 Hint: Consider how accuracy alone can be misleading in evaluating model performance.
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