juniorClassification
What is overfitting in classification models?
Updated May 15, 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
A spam classifier memorizing specific emails instead of patterns.
Common mistakes
- Using overly complex models without regularization.
Follow-up questions
- How can overfitting be reduced?