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?

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