Tag: Bagging vs Boosting

Introduction: What is Bootstrap Aggregation? Bootstrap Aggregation, commonly known as Bagging, is a powerful ensemble learning technique in machine learning. It improves the stability and accuracy of algorithms by reducing variance and combating overfitting. Bagging achieves this by training multiple models on different subsets of data and combining their predictions. How Bagging Works This simple… Read more