Learn how ordinal regression can improve rare event probability estimation in a conference talk from Data Con LA 2023. PhD Candidate Greg Faletto from USC's Data Sciences and Operations department demonstrates practical applications for predicting uncommon occurrences like purchase conversions from click ads or rare disease diagnoses. Explore step-by-step methods, examine real-world data examples, and gain access to implementation code while covering key concepts including decision boundaries, logistic regression, intermediate outcomes, proportional odds models, and ridge penalties. Master techniques for handling class imbalance challenges through detailed explanations and hands-on examples in this 41-minute technical presentation.
Predicting Rare Events Using Ordinal Regression - From Purchases to Diseases
Data Con LA via YouTube
Overview
Syllabus
Introduction
Outline
Motivation
Decision Boundaries
Logistic Regression
Logistic Regression Example
Leveraging Intermediate Outcomes
Ordinal Logistic Regression
Example Data Set
Model
Predict Function
Summary
Questions
Proportional Odds Model
Ridge Penalty
Thank you
Taught by
Data Con LA
