Practice - Key Metrics Derived from a Confusion Matrix
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Practice Questions
Test your understanding with targeted questions
What does accuracy measure in a classification model?
💡 Hint: Also recall that TP + TN contributes to this measure.
Define precision.
💡 Hint: Focus on the ratio of true positive predictions.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the formula for accuracy?
💡 Hint: Think about what constitutes a correct prediction.
True or False: Recall measures the proportion of true positives out of all predicted positives.
💡 Hint: Revisit the definitions of precision and recall.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Your model predicts 200 spam emails, 160 are truly spam and 40 are not. Calculate accuracy, precision, recall, and F1 score.
💡 Hint: Work through each metric step-by-step using the formulas.
You have a binary classification model with TP = 30, FP = 5, FN = 5, TN = 60. What can you say about its performance in terms of F1 Score? Is it suitable for healthcare application?
💡 Hint: Assess both precision and recall when discussing suitability.
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