---
id: wiki-2026-0508-bias-variance-tradeoff
title: Bias-Variance Tradeoff
category: 10_Wiki/Topics
status: duplicate
canonical_id: wiki-2026-0508-bias-vs-variance
duplicate_of: "[[Bias vs Variance]]"
aliases: [편향-분산 트레이드오프, bias variance, BVT]
source_trust_level: A
confidence_score: 1.0
verification_status: redirected
tags: [duplicate, bias, variance, ml-fundamentals]
last_reinforced: 2026-05-10
github_commit: pending
---

# Bias-Variance Tradeoff

> **이 문서는 [[Bias vs Variance]] 의 중복본입니다.** Canonical 문서로 redirect.

## 핵심 요약

- 매 Bias = systematic error (underfit).
- 매 Variance = sample sensitivity (overfit).
- 매 Total error = Bias² + Variance + irreducible noise.
- 매 modern: 매 Double Descent (over-parameterized region 의 lower error).
- 매 control: 매 regularization, 매 data, 매 ensemble.

## 🔗 Graph
- 부모: [[Bias vs Variance]] (canonical)
- Adjacent: [[Regularization]] · [[Double-Descent]] · [[Generalization]]

## 🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-04-20 | Auto-reinforced |
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |