8.2 - Confusion Matrix
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Practice Questions
Test your understanding with targeted questions
What does TP stand for in the context of a Confusion Matrix?
💡 Hint: Think about what is correctly identified.
What information does a Confusion Matrix display?
💡 Hint: Recall the four components of the matrix.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does FN stand for in the context of a Confusion Matrix?
💡 Hint: Think about what happens when a positive case is missed.
True or False: A higher number of False Positives is always good for a model's performance.
💡 Hint: Reflect on the consequences of misclassifying.
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Challenge Problems
Push your limits with advanced challenges
A model predicts whether a student will pass or fail the exam. In a class of 30 students, 20 passed (TP), 5 failed but were predicted to pass (FP), 3 were predicted to fail but actually passed (FN), and 2 accurately failed (TN). Construct the confusion matrix and calculate the accuracy.
💡 Hint: First, create the matrix, then use the formula to find the accuracy.
Consider a model that predicts whether emails are spam or not. If the model flags 70 spam emails correctly (TP), 30 emails incorrectly as spam (FP), and misses 10 actual spam emails (FN) while marking 90 genuine emails as not spam (TN), analyze the model's performance and suggest improvements.
💡 Hint: Focus on the performance metrics and how they can be improved.
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