juniorLogistic Regression
What is the Sigmoid Function?
Updated May 17, 2026
Short answer
The sigmoid function converts values into probabilities between 0 and 1.
Deep explanation
The sigmoid equation is 1/(1+e^-x). It transforms linear combinations of features into probability values suitable for binary classification.
Real-world example
Used in medical diagnosis prediction systems.
Common mistakes
- Confusing sigmoid outputs with hard classifications.
Follow-up questions
- Why not use a linear function?
- What happens at large positive values?