What is Overfitting in Logistic Regression?
Updated May 17, 2026
Short answer
Overfitting occurs when the model memorizes noise instead of patterns.
Deep explanation
Complex features and insufficient regularization can reduce generalization performance.
Real-world example
Fraud models may fail on unseen transactions.
Common mistakes
- Training too long without validation.
Follow-up questions
- How prevent overfitting?
- What is underfitting?