8.4 - Precision
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 is Precision in a classification model?
💡 Hint: Think about true positives and false positives.
If a model predicts 50 true positives and 10 false positives, what is its precision?
💡 Hint: Use the precision formula.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does precision measure in a classification model?
💡 Hint: Remember our focus on true positives.
True or False: Precision is not important when working with balanced datasets.
💡 Hint: Think about the risk of false positives.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have a model predicting whether an email is spam. Out of 100 predictions, 60 are true positives, 30 are false positives, and 10 are true negatives. Calculate the precision, and discuss its implications in email filtering.
💡 Hint: Revisit the precision formula.
In a medical testing scenario, if a test identifies 150 patients with a disease, where 100 truly have it and 50 do not, analyze the precision and evaluate the importance of this metric in public health.
💡 Hint: Reflect on the real-world impact of misclassifications.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.