6 Binary Classification
 Start: Monday, March 1
 End: Friday, March 5
6.1 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.
6.2 Learning Objectives
After completing this week, you are expected to be able to:
 Estimate and calculate conditional probabilities with logistic regression.

Use the
glm()
function in R to fit logistic regressions.  Understand the definitions of false positives, false negatives, and related metrics.
 Calculate metrics specific to binary classification.
6.4 Video
Title  Link  Mirror 

6.1  Welcome to Week 06  6.1  YouTube  6.1  ClassTranscribe 
6.2  Logistic Regression  6.2  YouTube  6.2  ClassTranscribe 
6.3  Logistic Regression in R  6.3  YouTube  6.3  ClassTranscribe 
6.4  Binary Classification  6.4  YouTube  6.4  ClassTranscribe 
6.5  Binary Classification in R  6.5  YouTube  6.4  ClassTranscribe 
6.6 Office Hours
Staff and Link  Day  Time 

Zoom with David  Thursday  8:00 PM  9:00 PM 
Zoom with Tianyi  Thursday  9:00 PM  10:00 PM 
Piazza  Any!  Any! 