2nd/10_Wiki/Topics/AI_and_ML/Gradient-Boosting-Machines.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-gradient-boosting-machines	Gradient Boosting Machines	10_Wiki/Topics	duplicate	wiki-2026-0508-ensemble-methods	Ensemble-Methods	GBM gradient boosting XGBoost LightGBM CatBoost	A	0.97	redirected	duplicate gbm ensemble boosting	2026-05-10	pending

Gradient Boosting Machines

이 문서는 Ensemble-Methods 의 specialization 입니다. Canonical 문서로 redirect.

핵심 요약 (GBM-specific)

• 매 sequential boosting (Friedman 1999).
• 매 XGBoost (Chen 2016) — 매 production standard.
• 매 LightGBM (Ke 2017) — 매 fastest.
• 매 CatBoost — 매 categorical native.
• 매 tabular ML 의 still SOTA (vs DL).

🔗 Graph

• 부모: Ensemble-Methods (canonical)

🕓 변경 이력

날짜	변경
2026-05-08	Phase 1
2026-05-10	중복 처리 — canonical 문서로 redirect