juniorLogistic Regression
What is Odds and Log-Odds?
Updated May 17, 2026
Short answer
Odds represent probability ratios, while log-odds are logarithmic transformations of odds.
Deep explanation
Logistic Regression models log-odds linearly. Odds = p/(1-p). Taking logs simplifies optimization and interpretation.
Real-world example
Insurance companies use odds ratios for risk prediction.
Common mistakes
- Interpreting odds as probabilities directly.
Follow-up questions
- Why use log-odds?
- What is an odds ratio?