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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a Confusion Matrix help you visualize?
💡 Hint: Think about how a model’s predictions compare to the actual results.
Question 2
Easy
What does TP stand for in the context of a Confusion Matrix?
💡 Hint: It is about correctly predicted positive instances.
Practice 4 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 FP stand for in a confusion matrix?
- True Positive
- False Positive
- True Negative
- False Negative
💡 Hint: Remember the mistakes the model makes.
Question 2
True or False: Recall is the measure of true positive predictions.
- True
- False
💡 Hint: Think about the positive cases vs. total actual positives.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You developed a model for detecting fraudulent transactions with 1000 transactions examined. Of these, 100 are fraudulent. Your confusion matrix results are: TP = 80, FP = 10, TN = 870, FN = 40. Calculate Accuracy, Precision, Recall, and F1 Score.
💡 Hint: Use the relevant metrics formulas and verify calculations carefully.
Question 2
Discuss potential biases in a confusion matrix if the positive class (e.g., fraud detection) comprises only 5% of your dataset. How might this affect model evaluation?
💡 Hint: Think of how class imbalances affect evaluation metrics.
Challenge and get performance evaluation