Visualizing Probability, Odds, and Log-Odds in Logistic Regression
- Mayta
- 16 hours ago
- 1 min read

This is the associative transformation visual you want for understanding probability, odds, and log-odds:
Left: Probability vs. Odds
As probability increases (X-axis), odds increase slow at first, then explode as probability nears 1.
The red line at odds = 1 (where probability = 0.5, i.e., 50:50 chance).
Middle: Odds vs. Log Odds
Log-odds is the natural log of odds.
At odds = 1 (red vertical), log-odds = 0.
Log-odds go negative for odds < 1 (rare event), positive for odds > 1 (common event).
Right: Probability vs. Log Odds
Log-odds increases linearly with probability in the middle range, but curves sharply at the ends.
The red line is log-odds = 0 (which matches probability = 0.5).
Logistic regression models this log-odds scale!
Clinical interpretation:
When probability is low, odds/log-odds are tiny/negative.
At 50% probability, odds = 1, log-odds = 0.
Above 50%, odds and log-odds rise quickly.
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