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2nd/10_Wiki/Topics/AI_and_ML/Gradient-Boosting-Machines.md
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---
id: wiki-2026-0508-gradient-boosting-machines
title: Gradient Boosting Machines
category: 10_Wiki/Topics
status: duplicate
canonical_id: wiki-2026-0508-ensemble-methods
duplicate_of: "[[Ensemble-Methods]]"
aliases: [GBM, gradient boosting, XGBoost, LightGBM, CatBoost]
source_trust_level: A
confidence_score: 0.97
verification_status: redirected
tags: [duplicate, gbm, ensemble, boosting]
last_reinforced: 2026-05-10
github_commit: 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 |