Bias-Variance Tradeoff

Entity Type: Glossary ID: bias-variance-tradeoff

Definition: A fundamental concept in machine learning describing the tradeoff between bias (error from oversimplifying assumptions) and variance (error from sensitivity to small fluctuations). Optimal models balance both to minimize total error.

Related Terms: - overfitting - underfitting - model-complexity - generalization

Source Urls: - https://en.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff

Tags: - model-evaluation - statistical-learning - error-analysis

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31