Week 6 - Evaluating Classifiers
Learning Objectives
After today's class, you should be able to:
- Understand and apply key classification evaluation metrics, including accuracy, precision, recall, ROC curves, and Lift & Gains charts, to assess model performance and select the most appropriate metric based on business objectives.
- Be able to evaluate the performance of different classifiers by manually calculating key evaluation metrics, including accuracy, precision, and recall.
Class Agenda
- Evaluating Classifiers Slides
- Exam 1 Review Slides
[5 min]Break- Evaluating Classifiers Python Tutorial
- In Class Time for CP3_Evaluating_Classifiers
Task List
- Required Reading: Chapter 5.3 - Judging Classifier Performance
- Complete and Submit CP3_Evaluating_Classifiers on Canvas.
- Prepare for Exam 1