Ensemble Learning: Revision history

30 November 2024

• curprev 19:0219:02, 30 November 2024‎ Prairie talk contribs‎ 4,866 bytes +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..." Tag: Visual edit