juniorScikit-Learn
What is overfitting in Scikit-Learn models?
Updated May 17, 2026
Short answer
Overfitting occurs when a model learns noise instead of general patterns.
Deep explanation
The model performs well on training data but poorly on unseen data due to excessive complexity.
Real-world example
Overfitting often happens in fraud detection models with small datasets.
Common mistakes
- Using overly complex models without regularization.
Follow-up questions
- How to detect overfitting?
- How to prevent overfitting?