Underfitting

Entity Type: Glossary ID: underfitting

Definition: A modeling error that occurs when a machine learning model is too simple to capture the underlying patterns in the data. This results in poor performance on both training and test data.

Related Terms: - overfitting - bias-variance-tradeoff - model-complexity

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