2nd/10_Wiki/Topics/AI_and_ML/Random-Forest-Classifiers.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-random-forest-classifiers	Random Forest Classifiers	10_Wiki/Topics	duplicate	ensemble-methods	Ensemble-Methods		A	0.9	redirected	duplicate random-forest ensemble	2026-05-10	pending

Random Forest Classifiers

이 문서는 Ensemble-Methods 의 중복본입니다. Canonical 문서로 redirect.

핵심 요약

• Random Forest = bagging + decision trees + feature subsampling (Breiman 2001).
• 2026 의 tabular 의 still strong baseline; XGBoost/LightGBM 의 boosting variant 의 prefer.

🔗 Graph

• 부모: Ensemble-Methods (canonical)

🕓 변경 이력

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