12.2.A - Classification Metrics
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does accuracy measure in classification?
💡 Hint: Think about how we count both true positives and true negatives.
What is precision?
💡 Hint: It indicates how many of the positive predictions were correct.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does accuracy indicate in a classification model?
💡 Hint: It combines both correct classifications.
True or False: High accuracy always means a good model.
💡 Hint: Consider what happens with skewed class distributions.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A fraud detection model predicts cases as fraudulent or non-fraudulent. The model results showed 90 true positives, 5 false positives, 10 false negatives, and 95 true negatives. Calculate the accuracy, precision, recall, and F1-score.
💡 Hint: Use the formulas carefully and ensure you tally all components from confusion matrix correctly.
Consider a predictive maintenance model where high recall is desired to not miss any potential machine failures. If the model predicts 80% of actual fails but has a precision of only 30%, discuss the implications of these results.
💡 Hint: Reflect on how balancing these metrics impacts operational costs and efficiencies in real-world applications.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.