2nd/10_Wiki/Topics/AI_and_ML/Bias-Variance-Tradeoff.md

id, title, category, status, canonical_id, duplicate_of, aliases, source_trust_level, confidence_score, verification_status, tags, last_reinforced, github_commit

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