Ensemble Learning: 편집 역사

2024년 12월 1일 (일)

• 최신이전 09:022024년 12월 1일 (일) 09:02‎ Prairie 토론 기여‎ 4,866 바이트 +4,866‎ Created page with "'''Ensemble Learning''' is a machine learning technique that combines multiple models, often called "base learners," to create a more powerful predictive model. By aggregating the predictions of several models, ensemble methods improve accuracy, reduce variance, and mitigate overfitting. Ensemble learning is widely used in classification, regression, and anomaly detection tasks. ==Overview== Ensemble learning leverages the idea that combining multiple models can outperfo..." 태그: 시각 편집