Overfitting

Entity Type: Glossary ID: overfitting

Definition: A modeling error that occurs when a machine learning model learns the training data too well, including noise and random fluctuations. This results in poor performance on new, unseen data despite high accuracy on training data.

Related Terms: - underfitting - generalization - bias-variance-tradeoff - regularization

Source Urls: - https://en.wikipedia.org/wiki/Overfitting

Tags: - foundational - machine-learning - model-evaluation

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31