Bagging

Introduction Ensemble methods in machine learning are techniques that combine the predictions from multiple models to improve accuracy and performance. Instead of relying on a single model, ensemble learning leverages the power of many to produce more reliable results. These methods are particularly effective in reducing variance, bias, and improving predictions. Major Types of Ensemble […]