juniorLogistic Regression
What is Feature Scaling in Logistic Regression?
Updated May 17, 2026
Short answer
Feature scaling standardizes variables for stable optimization.
Deep explanation
Gradient-based optimization converges faster when features are on similar scales.
Real-world example
Fraud systems normalize transaction values before training.
Common mistakes
- Scaling train and test sets separately.
Follow-up questions
- Is scaling always required?
- Which scaler is common?