Classification II
Week 09, Fall 2023
- Start: Monday, October 16
- End: Friday, October 20
Summary
This week we will introduce a parametric method for classification, logistic regression. Because it is a method focused on modeling binary outcomes, we will also discuss binary classification in depth, in particular, metrics for evaluating binary classification models.
Learning Objectives
After completing this week, you are expected to be able to:
- Estimate conditional probabilities with logistic regression.
- Use the
sklearnto fit logistic regressions. - Understand the definitions of false positives, false negatives, and related metrics.
- Calculate metrics specific to binary classification.
Reading
| Link | Source |
|---|---|
| Week 09 Concept Scribbles | Course Website |
| Week 09 Notebook [ Rendered Notebook ] | Course Website |
Video
Head to ClassTranscribe to watch lecture recordings. They are arranged by date in the Lecture Capture Recordings playlist.
Assignments
| Assignment | Deadline | Credit |
|---|---|---|
| Lab 06 [ Template ] | Thursday, October 26 | 100% / 105% |
| Homework 06 | Thursday, October 26 | 105% |
Office Hours
| Staff | Day | Time | Location |
|---|---|---|---|
| David | Monday | 11:00 AM - 12:00 PM | 2328 Siebel Center |
| Lahari | Wednesday | 4:00 PM - 5:00 PM | Siebel Center, Second Floor [ Queue ] |
| David | Wednesday | 5:00 PM - 6:00 PM | Zoom |
| Eunice | Thursday | 3:00 PM - 4:00 PM | Siebel Center, Second Floor [ Queue ] |